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The greenest goodbye: Human composting and the science of becoming soil
In 2020, Recompose was the first U.S. company to develop the technology needed for the commercial composting of human bodies, disrupting a funeral industry that had been largely unchanged for decades. Now 14 states have legalized the climate-friendly practice and more than a dozen others are considering it. Additional startups have launched to offer a greener goodbye and all are looking to scale.
Gov. Shapiro highlights life sciences growth with visit to Philadelphia biotech incubator
The $125 million Innovate in PA 2.0 initiative aims to help startups grow, commercialize new technologies and keep life sciences companies in Pennsylvania.
Delivering Access
There was once a time when you healthcare without mentioning Honeybee Health Inc. In 2019, CNBC listed it as one of the 100 most promising startups. In
New Jersey aims to turn science into startups
The investment manager of the NJII Venture Studio says new venture infrastructure aims to turn research into startups and jobs.
High impact, high science: How First Flight is building North Carolina’s innovation future
First Flight Venture Center has spent more than three decades helping science and technology startups grow into companies that create jobs, attract investment and strengthen North Carolina’s economy.
High impact, high science: How First Flight is building North Carolina’s innovation future
First Flight Venture Center has spent more than three decades helping science and technology startups grow into companies that create jobs, attract investment and strengthen North Carolina’s economy.
Darden Alum’s AI Finance Platform Lightens the Load for Startups and Small Businesses
For Michael Fajardo (MBA ’20), the word is a nod first to Michael Porter, the strategist whose Five Forces framework he studied at the University of Virginia Darden School of Business. But it also meant something simpler: a person who carries the bags, lightens the load and helps someone keep moving.
Best business insurance for online startups and e-commerce stores
Get the business insurance your e-commerce store needs, including cyber liability and general liability coverage.
American AI is expensive. Some startups are turning to cheap Chinese models
AI is a fast-growing business expense. Some companies are cutting costs by switching to cheaper Chinese AI models.
Aggie Venture Accelerator Welcomes Inaugural Cohort of Life Science Startups
The University of California, Davis Innovation and Economic Development Office has announced the inaugural cohort of the Aggie Venture Accelerator (AVA), selecting SinewUS, Pharm to Food and ThriveSpan Labs as the program’s first participating startups.
Why AI is driving a record boom in new US startups
Artificial intelligence is acting as a force multiplier for entrepreneurs, sparking a record wave of new businesses.
SK Hynix’s Stock Market Bargain Mirage | AI & Business for July 7
Plus, AI giants offer discounts, and college kids are doing startups instead of summer internships.
Meet Naomi Osaka’s Business Partners Behind Her Wimbledon Comeback
Naomi Osaka has returned to IMG while continuing to build Hana Kuma, KINLÒ and an investment portfolio spanning sports and startups.
Apple veterans launch a $33 million fund for manufacturing tech
Omni Ventures will back pre-seed startups building AI, robotics, and automation tools for manufacturing.
Startups move to Colorado amid concerns state losing its luster for tech companies
A biotech startup and an aerospace startup said their moves to Colorado were based on lifestyle issues and the state’s business climate.
A New Report Just Revealed a Widening Gap in Corporate Leadership. It Points to a Massive Opportunity for Startups
Good business is just doing right by people. Customer focus is both a driver of business success and a reflection of morality in action.
AI-native startups are hiring fewer entry-level workers, study finds
AI-native startups are running smaller, flatter teams and are hiring more senior talent rather than entry-level talent, a Harvard study found.
Inside the recruiting practices at the hottest AI coding startups
At Replit, X profiles have become the "main medium" for recruiting, said the company's chief people officer.
Trump filing shows he took in about $1.2 billion from crypto businesses last year
Mere startups when he took the oath of office, the new ventures have now eclipsed in revenue much of his vast property portfolio that took him decades to accumulate.
Berks LaunchBox announces winners of lifestyle business pitch competition
Three entrepreneurs took home prizes of up to $1,000 for their startups.
Wilmington Small Business Coalition: Building Momentum in 2026 by Heather McWhorter
This article was contributed by Lydia Thomas, UNCW CIE Program Manager. North Carolina continues to be one of the best states to start a business and in 2025, Wilmington, North Carolina earned a spot on the GoDaddy list of the top 10 most entrepreneurial cities in the U.S. While many know Wilmington as small beach town with exceptional food, lots of coffee shops, and fun, vibrant summer activities, a closer look reveals a thriving innovation economy. You’ll find startups emerging across industries including software, healthtech, bluetech, and fintech. At the core of this entrepreneurial ecosystem is the Wilmington Small Business Coalition, with small business advocates and entrepreneur support organizations (ESOs) dedicated to helping founders grow, thrive, and succeed. “No Wrong Door” Established in 2016, the Coalition was designed to make it easier for individuals and small businesses to access resources most suited to their particular needs. The Coalition is designed to have a “no wrong door” entryway into the regional startup ecosystem. Whether you are exploring a new idea sketched on the back of a napkin or leading a more established, growth-stage company, Coalition members can help connect you with the programs, funding opportunities, mentors, and resources best suited to your needs. No matter where you are in your entrepreneurial journey, any Coalition organization can help point you in the right direction. Coalition Members and Leadership Coalition members include the UNCW Center for Innovation and Entrepreneurship (UNCW CIE), AARP, Brunswick Community College Small Business Center, Cape Fear Community College Small Business Center, Cape Fear Region SCORE, Genesis Block Foundation, Network for Entrepreneurs in Wilmington (NEW), Small Business & Technology Development Center (SBTDC), Greater Wilmington Chamber of Commerce, YWCA Living the Dream Center for Entrepreneurship, Carolina Community Impact Fund (CCI Fund), Partner Community Capital, 717mkt Office Collaborative, NC Biotech, and Institute NC. In May 2026, the Coalition held its leadership elections, resulting in the selection of a new executive team. The following officers were elected to serve two-year terms: Chair: Lydia Thomas, UNCW CIE Vice Chair: Diane Lantz, CCI Fund Secretary: Aariene Hansley, Genesis Block Foundation Treasurer: Gloria Monroe, SBTDC Vision for the Wilmington Small Business Coalition In 2026, the Wilmington Small Business Coalition continues its work as a collaborative network of organizations. By connecting programs, expertise, and services across partner organizations, entrepreneurs can more easily find the right support at the right time. Rather than operating in silos, the Coalition aims to function as a unified, cohesive system of support for small businesses and entrepreneurs, ensuring that resources and expertise across partner organizations are visible and accessible. Through stronger collaboration and shared pathways, entrepreneurs can move more seamlessly from idea to startup to growth. Looking to dive into the Wilmington entrepreneurial ecosystem? Connect with any of the Coalition partners to get started! Connect with CIE To learn more about CIE and our services, programs, and events, join the CIE newsletter. You can also follow us on social media: Instagram, Facebook, LinkedIn, TikTok, or YouTube. CIE’s website is uncw.edu/cie. Heather McWhorter is the director of the UNCW Center for Innovation and Entrepreneurship (CIE). CIE supports innovation-forward start-ups and helps to build a vibrant innovation economy for all in southeast NC.
Three UW Startups to Graduate from Impact 307 Business Incubator July
Three startup companies will be leaving the incubator.
Third Coast Foundry opens San Francisco hub for Midwest startups
UChicago, Illinois and Northwestern have opened the Third Coast Foundry in San Francisco to help Midwest startups reach Silicon Valley investors.
Israeli health-tech conference opens in Jerusalem with 1,800 participants from 40 countries
MIXiii Health-Tech.IL 2026 brought together investors, doctors, researchers, startups and global health-tech leaders, with a focus on Israeli emergency medicine, tech-bio, and technologies.
How six venture capital giants are reshaping startup financing
The venture capital landscape is becoming increasingly concentrated, with six megafirms— Andreessen Horowitz, Sequoia Capital, Thrive Capital, Lightspeed Venture Partners, Founders Fund and General Catalyst—now raising more capital than all other U.S. venture firms combined over the past two years, Inc. reports. Their growth has been fueled by the enormous capital requirements of AI startups, […]
Investment in Israeli health tech startups dove 40% in 2025
Data shows that while the global industry saw a resurgence in private funding, investments in Israeli startups hit a five-year low amid geopolitical uncertainty
Swipeless online dating? How AI is reshaping the search for love
Traditional dating apps including Tinder, Grindr and Bumble and California startups are experimenting with how AI could reshape how people find love online.
Healey’s $305M economic development bill boosts defense, startups
This week, the Legislature's economic development committee released its own version of the bill, which includes money for defense and AI industries.
Cognitive Science students pitch AI college counseling, productivity
From AI-powered social media content creation to college access platforms, cognitive science student entrepreneurs pitched their startups to potential investors at the Berkeley Accelerator
Webber sponsors long-term funding bills to support Michigan business startups
LANSING, Mich. — Sen. Michael Webber on Wednesday introduced legislation to help create more Michigan jobs through long-term support for startup businesses in the state. “We created the Michigan...
Startup’s strategy challenges EV industry assumptions
A new EV startup led by a former Amazon executive is betting that a low-cost, highly customizable pickup starting at just under $25,000 could help it achieve something that has eluded many EV startups: profitability, CNBC reports. The central goal for Slate Auto and CEO Peter Faricy is to make a full-size, practical truck accessible […]
Small Business Tech News: Verizon CEO Sends Shocking Message To Employees
AI is reshaping business: Verizon says automation cut 13,000 jobs, while SMBs use AI to boost productivity. Retail, startups, and AI providers are rapidly expanding capabilities and lowering costs.
Ex-Nvidia leaders launch EverGreen to back AI startups
EverGreen, founded by ex-Nvidia execs like Greg Estes, supports AI startups through investment and mentorship, leveraging Nvidia alumni networks.
Philippe Pouletty: Turning Europe’s Life Science Startups Into World Leaders
The French investor and entrepreneur reveals how he is building biotech and medtech giants to compete with China and the U.S.
Cornell convenes leaders to explore AI’s impact on business
A Cornell workshop united faculty and industry leaders to explore AI’s impact on finance, healthcare, startups and work.
AI And Your HVAC Guy: HBS Founders Reveal Inside Business Strategies
AI startups succeed by solving real industry problems, prioritizing adoption, trust, workflows, and revenue.
Formation structure in venture-backed companies: Why getting it right early matters
Choosing the right entity early can ease fundraising, reduce tax risks and help startups avoid costly restructuring later.
MBA Roundup: Harvard Business School Names 2026 Rock Venture Catalyst Cohort
Harvard Business School announces the 61 students who are building their startups at the Rock Center this summer.
Flying taxis are racing to carry passengers: I've seen all 3 rivals.
US aerospace startups Joby, Archer, and Beta are in a high-stakes race to bring the "Jetsons'" dream of flying cars to life. Here's how they compare.
Human chief of staff not worried by her startups new AI chief of staff
A chief of staff working alongside an AI chief of staff at a San Francisco startup shares how she balances human work and outsourcing to AI.
Free Broward business conference connects entrepreneurs to funding, AI and more
The Broward and Beyond Business Conference will take place June 12 at the Broward County Convention Center. The event is free and open to entrepreneurs, startups and businesses of all sizes.
Broward County to host free business conference for entrepreneurs
The Broward and Beyond Business Conference will take place June 12 at the Broward County Convention Center. The event is free and open to entrepreneurs, startups and businesses of all sizes. NBC6’s Constance Jones reports.
U.K. Needs to Take More Risks to Retain Startups, Business Secretary Says
The government has taken stakes in startups like Kraken, Wayve and Oxford Quantum Circuits in recent weeks, in a bid to prevent them from moving out of the country to look for funding.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Wealth Managers Circle Defense Tech
In the South Bay, where venture-backed startups and legacy firms churn out in-demand military and space technology, wealth is ballooning. As some of the
Melinda French Gates is done waiting for health care to take menopause seriously
Celebrities like Halle Berry and Naomi Watts have jumped on menopause startups. Now Melinda French Gates is throwing her weight behind the category—with philanthropic dollars.
Family offices bet on sports, from pickleball leagues to smart soccer balls
While AI startups dominate deal-making news, investment firms of the ultra-rich are still keen on sports.
Silicon Valley's new slogan: Let's get physical
Silicon Valley's AI boom is moving into robotics as OpenAI, Meta, Tesla, and startups race to give AI a body.
Tom Snyder: When AI helps create value, what does the platform get to learn from that process?
As AI platforms become embedded in how startups build products, they gain visibility into workflows, customer needs and emerging markets.
Ukraine's pitch to Silicon Valley: Bring AI, we'll bring experience
President Volodymyr Zelenskyy wants to deepen ties between Ukraine and Silicon Valley's defense tech startups.
Space Force’s commercial gatekeeper offers a playbook for startups seeking defense business
Space Force’s commercial gatekeeper offers a playbook for startups seeking defense business Space Force’s commercial gatekeeper offers a playbook for startups seeking defense business
City of Palm Coast to Host “SBDC Day” for Entrepreneurs and Growing Businesses
The City of Palm Coast will host “SBDC Day” at Palm Coast City Hall, located at 160 Lake Avenue, Palm Coast, FL 32164, on July 29, 2026, from 9 a.m. to 3 p.m., connecting local entrepreneurs, startups, and established business owners with free expert guidance and resources from the Florida Small Business Development Center (SBDC) Network.
Daegu Gyeongbuk Institute of Science and Technology (DGIST) and Three Other Science and Technology Institutes Launch Korea’s Largest Student Startup League, “GRAVITY 2026” to Foster Global Startups
-Offering a total prize pool of KRW 200 million and overseas acceleration opportunities, the program provides full-scale support for student startup teams preparing to debut on the global stage.
NSF deploys $250 million to restart Small Business Innovation Research & Small Business Tech Transfer programs, including a new $40 million pilot emphasis on next-generation scientific instrumentation
The U.S. National Science Foundation today relaunched its Small Business Innovation Research/Small Business Technology Transfer programs with $250 million for the nation's startups and small...
BioTools Innovator 2026 Cohort Includes Top 30 Life Science Tools and Diagnostics Companies
BioTools Innovator selected 30 life science startups for its 2026 Accelerator, with companies competing for $300K in funding.
Inside Europe's tech startup surge that's being boosted by AI
European startups like Legora and Lovable are challenging US tech dominance, driven by AI advancements and better access to VC funding.
Inside startups, Claude has already won the AI coding wars.
In a survey of more than two dozen startup founders and VCs, we found a growing consensus that Claude Code has become the dominant AI coding tool.
S. ‘Soma’ Somasegar, 1966-2026: Microsoft and Madrona leader was a champion of developers and startups
Friends and colleagues remembered S. "Soma" Somasegar, the longtime Microsoft developer leader and Madrona managing director, as a generous mentor to developers and founders, and a fixture of Seattle's tech community.
Letters to the Editor: When AI comes for your job in entertainment, maybe then you’ll care
'According to one 2024 report, more than 200,000 jobs in the entertainment industry could be displaced by AI. Those most likely to be affected include background actors, crew members, production staff and positions such as grips and prop masters,' writes an L.A. Times reader.
Family investors turn to old-economy businesses like dealerships and fisheries to avoid AI disruption
While car dealerships and fisheries are less eye-catching than high-flying AI startups, they offer stability and cash flow that's attractive to family offices.
Small-business development center coaches Fort Worth startups
A local small-business coaching center puts on its first in-person training since the pandemic.
My grandfather's advice helped me retire early from Google at age 55
A former Googler assumed only people who got rich from their startups being bought out could retire early. He shared the simple investment strategies he says helped him do it.
Revival of Blackberry nostalgia and keyboard fuels smartphone startups
Smartphone startups are bringing back the Blackberry idea through physical keyboards and the classic square-shaped smartphone.
Startup Science Acquires Sphere, Launches Structured Mentorship Platform for Every Founder
/PRNewswire/ -- Mentored startups survive at 2x the rate of non-mentored ones, yet 97% of founders who apply to accelerator programs are rejected. The founders...
Indosat CEO Vikram Sinha is building an AI for Indonesia’s local languages. Can he make a business case for sovereignty?
Vikram Sinha wants Sahabat AI to be a platform for Indonesia's startups—even if he admits his team can't quite think of a "business case" right now.
Anthropic just launched AI agent tools to shake up finance grunt work
Anthropic introduced 10 AI agents for the finance industry on Tuesday, adding to the tools already available from buzzy startups and firms themselves.
3 execs explain the upside and downside of managing tiny teams
Three founders of lean AI startups shared with Business Insider their takeaways from managing tiny AI-driven teams.
Student Startups Take Center Stage at Seton Hall’s 2026 Pirates Pitch
From AI-powered video editing to sustainable refill systems, Seton Hall students pitched innovative startup ideas at the 2026 Pirates Pitch Competition, competing for $16,000 in prizes.
Vanderbilt Health highlights physician-led innovation and analytics startups at Becker's 16th Annual Meeting
Representing Vanderbilt Health were two subsidiaries — Vanderbilt Health Purchasing Collaborative (VHPC) and the Center for Patient and Professional Advocacy (CPPA) — alongside innovation partners Brim Analytics and ImageAssist.
Global Health & WASH: May 2026 Funding Opportunities (14 new opportunities!)
The May update for Global Health & WASH brings new calls that cluster around three distinct shifts: LMIC research leadership moving from funder encouragement into a hard eligibility constraint, pharmaceutical and corporate-linked funders running structurally independent education and use-inspired research portfolios at substantial scale, and AI adoption shifting decisively from speculative tool to operational capability across health and WASH systems alike. In LMIC Research Leadership as Eligibility, Not Encouragement, Wellcome anchors the dominant signal of the month with three separate major calls that all require or strongly center LMIC leadership in their basic eligibility architecture. Wellcome’s ESIC Hubs (£1.5-£1.9M per hub over 3-5 years) explicitly requires an LMIC-based lead applicant, treating Global South leadership as a design constraint rather than a participation goal. Wellcome’s Infectious Disease Clinical Trial Development Award funds transdisciplinary teams whose lead must be a mid-career or established researcher based at an organization in Africa, South Asia, or Southeast Asia. Wellcome’s larger Infectious Disease Clinical Trial Award (£1M-£8M for optimizing licensed interventions) requires the administering organization to be in eligible LMIC regions and at least 50% of applicants based there. Around Wellcome, the same pattern shows up at smaller scale and across funders: CHINNOVA channels $1M into West and Central African research institutions for climate-health work; IBRO’s Neuroscience Training Grants explicitly tier ceilings by region of residence with Africa receiving the highest amount ($5,000); IHME’s GBD Emerging Researcher Award reserves at least one of its two annual awards for an LMIC researcher; Sidaction’s HIV Cure call funds research teams across France, the Netherlands, and eligible African countries with a minimum two-country collaboration requirement. Taken together, these calls signal a meaningful shift in how research equity is being operationalized — not as encouragement language at the bottom of a call, but as a structural feature of who can lead, where the work must be administered, and what proportion of the team must be regionally rooted. In Pharma-Funded Independent Medical Education and Use-Inspired Research, the lineup this month is unusually deep. Pfizer alone runs four parallel calls under independent education and quality improvement frameworks: a Migraine and Women’s Health RFP (200K x 2-year, $500K pool), Migraine IME ($200K, $1M pool), JAK Inhibitor evidence-based education ($100K), and Maternal Vaccination HCP Education in Saudi Arabia ($75K), plus a separate Pediatric Pneumococcal Surveillance research call in Saudi Arabia ($400K per project). Novo Nordisk Foundation runs four parallel calls of its own at substantial scale: Infectious Diseases Catalyst Grants (DKK 60M pool, up to DKK 7M collaborative), Non-Diabetic Endocrinology Collaborative Grants (DKK 53M pool, DKK 5-10M per project), Pioneer Innovator Grant Health (DKK 1.1M), and Distinguished Innovator Grant Health (DKK 6.8M). LEO Foundation deploys DKK 2-4M per project for dermatology research excellence. Pfizer’s framing across calls deliberately separates the funding from product promotion, emphasizing measurable practice-relevant change and structural distance between scientific outputs and commercial activity. Novo Nordisk’s “use-inspired” hard filter pushes researchers toward a credible translation pathway from mechanism to deployable tool. The pattern: industry-aligned funders are running structurally independent portfolios at meaningful $ that fund implementation evidence, not promotion. In AI as Operational Capability, Not Speculation, several calls this month explicitly treat AI adoption as a near-term operational question with real evidence and governance requirements, rather than a speculative trend to be watched. Wellcome’s ESIC Hubs frames AI as “the accelerator” for evidence synthesis, asking hubs to translate technical innovation into adoption-ready workflows that can match real-world policy timelines. UNICEF Venture Fund’s new Climate Tech for Children’s Health call funds for-profit startups deploying AI, machine learning, and blockchain in low-resource environments, with a strict requirement that solutions must already have a working prototype with promising pilot results. The Water Research Foundation has launched two simultaneous AI calls treating reproducibility, cybersecurity guardrails, and human-in-the-loop deployments as core design constraints rather than nice-to-haves: one on GenAI and Agentic AI in water utilities ($200K), one on alternatives to water shutoffs that explicitly screens for implementation economics evidence. Nordic Innovation’s quantum technology call (NOK 4.5M) extends the same logic into life science and healthcare, demanding consortium-stage projects mature enough to test with real users. TEF-Health offers €300K in subsidized testing infrastructure for European healthcare AI and robotics SMEs. The pattern: funders are converting AI pilots into playbooks, requiring transfer evidence and risk controls before AI can move from experimentation to sector-wide operational practice. For LMIC-based researchers in infectious disease or evidence synthesis, the three Wellcome calls together represent the deepest concentration of LMIC-led research capital in recent memory — pair the Infectious Disease Clinical Trial Development Award (£200K, deadline May 19) as a strategic pipeline feeder into the larger Infectious Disease Clinical Trial Award (£1-£8M, deadline June 2), since the development award functions explicitly as a track into the larger trial scheme. For Nordic researchers, the four Novo Nordisk Foundation calls plus LEO Foundation and Nordic Innovation Quantum represent ~$30M in regional research capital this cycle, all with deadlines clustered in May-August. For WASH practitioners, the three Water Research Foundation calls together (each up to $200K) are a cluster worth reading across — one on AI deployment, one on shutoff alternatives, one rewarding applied innovation — and the strongest applicants will articulate how their work bridges utility operations to policy-relevant evidence. For US-based clinical researchers and educators, the four Pfizer calls plus the APF Portfolio’s 80+ programs form an unusually accessible recurring pipeline; APF’s prohibition on indirect costs is a meaningful structural feature for early-career applicants whose institutions might otherwise absorb significant overhead. Snapshot of New Opportunities Total Estimated Funding Pool: $100 Million+ USD The grants are organized into three categories: Open Calls: Current grant and opportunities with a deadline. Grants are listed by closing date. 39 open opportunities- 14 new! Rolling Applications: current grant and opportunities with rolling applications (but it’s still best to submit as early as possible). 14 rolling opportunities- 1 new opportunity! Long term planning: Grants that have closed their current rounds, but are expected to open new windows. 4 long term opportunities! A quick tip for returning readers: if you want to jump straight to the newest additions, use CTRL F to search for “New!” and navigate quickly to the latest funding opportunities This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. Open Calls: Migraine Competitive Grant Program: Migraine and Women’s Health (Quality Improvement and/or Research RFP), Pfizer.*Closing soon!* Pfizer, in collaboration with the American Headache Society, is seeking independent quality improvement and research projects that close persistent gaps in migraine care for women across the United States. The funding logic centers on measurable, practice-relevant change: proposals should generate actionable evidence, tools, or system improvements that can be shared and used widely, not just within a single site. Priority areas span menstrual migraine and screening in women’s health settings, the role of hormonal fluctuations across the lifespan, sex-specific risk factors, comorbidities and quality-of-life burden, and disparities in outcomes by race, ethnicity, and socioeconomic status. The call is structured as a two-step competitive process with an initial Letter of Intent, with the strongest concepts expected to translate scientific insight into implementable improvements in diagnosis, management, and equity. Geographies: United States. Who can apply: U.S.-based organizations (not individuals), including professional schools, healthcare institutions, professional organizations, and other entities focused on healthcare improvement. Funding amount: Up to USD $200,000 total over 2 years; total pool USD $500,000. Targeted Sectors / SDGs: Health; Focus areas: migraine, women’s health, quality improvement, clinical research, menstrual migraine, health disparities. Deadline: LOI: May 5, 2026; Full proposal (by invitation): August 28, 2026. Learn more and apply here. This RFP rewards “shareable impact”: the most competitive submissions will pair rigorous methods with a clear plan for system uptake and dissemination beyond the originating institution. ReSSARC: Strengthening the Health Sector and Food Security in the Central African Republic (AID 013381/01/0) Call for Proposals, Italian Agency for Development Cooperation (AICS). *Closing soon!* AICS is seeking a limited set of high-capacity humanitarian partners to deliver an integrated package that stabilizes essential health services while reducing acute malnutrition and strengthening food security resilience in priority areas of the Central African Republic. The funder’s logic is explicitly nexus-based: proposals should meet urgent, life-saving needs while reinforcing local systems, coordination mechanisms, and community-level capacity so results persist beyond the emergency window. AICS emphasizes inclusion and protection outcomes, expecting gender-sensitive design and explicit measures for groups facing compounded vulnerability, including women, children under five, internally displaced people, and people with disabilities. The call also signals a localization pathway, encouraging stronger collaboration with national NGOs and balanced partnerships, alongside clear coordination with existing cluster and humanitarian actors to minimize duplication and improve coverage. Geographies: Central African Republic (Bangui, Ombella-Mpoko, Ouham, Ouham-Pende, Lim-Pende, Lobaye). Who can apply: Non-profit organizations registered with AICS, plus eligible non-profits without an office in Italy that have a pre-existing collaboration agreement with an AICS-listed organization. Funding amount: Total pool EUR €1,800,000; max EUR €800,000 (single applicant) or EUR €1,000,000 (ATS). Targeted Sectors / SDGs: Health; Focus areas: malnutrition prevention and treatment, maternal and child health, community health services, food security and resilience, localization partnerships Deadline: May 5, 2026. Learn more and apply here. This call is structured to reward partners who can link frontline service delivery to system durability and localization, not just short-term coverage gains. Contracts for Innovation in drug and alcohol addiction healthcare, Innovate UK. *Closing soon!* Innovate UK, on behalf of the Office for Life Sciences Addiction Healthcare Goals program, is procuring R&D to accelerate innovations that can improve treatment outcomes, strengthen recovery, and reduce harm and deaths linked to drug and alcohol addiction. The competition is positioned as a market-facing readiness push: selected projects are expected to advance solutions toward later-stage validation, generate evidence of user acceptability and UK market fit, and map credible routes through regulatory and certification requirements. Innovate UK signals a preference for innovations that can be field-tested in relevant UK settings and progressed to TRL 6 or 7, with practical plans for commercialization after contract completion. This structure favors applicants that can execute most work in-house, co-develop with service providers and people with lived experience, and translate technical progress into deployable tools for addiction healthcare delivery. Geographies: United Kingdom. Who can apply: Single organizations of any size (including EU, EEA, or international) leading delivery, with most work and key deliverables carried out in the UK; subcontractors for specialist skills only. Funding amount: GBP £200,000–1.5 million per project (inclusive of VAT); Total pool: GBP £20 million (across two strands). Targeted Sectors / SDGs: Health; Focus areas: Mental Health, Health Systems Strengthening, Research & Development, Technology Access. Deadline: May 6, 2026 (11:00am). Learn more and apply here. This call uses procurement to pull near-market addiction innovations toward operational proof and adoption pathways in UK services.
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My parents and I left everything behind so that I could enjoy the freedom to practice my religion without persecution and pursue a career in law as a woman. This award is an acknowledgment of my dedication to business law and motivates me to continue pursuing excellence in this field. It also recognizes years of hard work—learning a new language, navigating the college and law school application process, and ultimately building a career in the legal profession. Q: How will this scholarship help support your future goals? A: This scholarship will provide access to mentorship from leaders in the field, enabling me to develop the skills necessary to offer practical advice and effective representation to future clients. It also eases the financial burden of law school, letting me focus on my coursework and deepen my commitment to corporate law. As an immigrant, breaking into the legal profession has not always been easy, and the time that mentors have invested in me has been instrumental to my progress. This scholarship will allow me to continue building those relationships while positioning me to one day mentor others pursuing similar paths. Alvaro Flores: Inspired by Entrepreneurs The son of Mexican immigrants raised in San Antonio, Texas, Alvaro Flores says he has long been interested in how policy, markets, and culture shape society. He studied international relations and global economy at the University of Southern California, with minors in business finance and legal studies. His experiences span local political organizing, venture capital and startup work, and teaching entrepreneurship. At UC Law SF, he is involved in the Business Law Society, Technology & Law Society, and the Latinx Law Student Association. 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I see it not just as recognition, but also as alignment. The CBL Scholars Program’s focus on developing individuals who engage deeply with the business and technology ecosystem reflects the path I have been intentionally building. More than anything, it feels like an investment in that journey. I have been thoughtful about each next step–whether teaching, working in venture capital, or building multidisciplinary experiences–and this scholarship reinforces that those efforts come together in a meaningful way. Q: How will this scholarship help support your future goals? A: It allows me to focus more on developing as a business lawyer, without the distraction of financial constraints. Beyond that, the mentorship and access to the Bay Area network are just as valuable. I’m especially interested in working with early-stage companies and investors, so the opportunity to learn directly from people operating at a high level in that space is huge. 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That perspective, combined with my experience in the wine industry, solidified my interest in helping businesses of all sizes tackle evolving legal challenges. I’m excited to grow within the corporate law space and develop the skills and experience to support businesses at every stage. I’m deeply motivated to give back to immigrant communities and small business owners, whose experiences often intersect. By building a strong foundation in corporate law, I hope to support those working to create generational stability and to contribute in a meaningful way to the communities that have shaped me. Q: What does it mean to you to have been awarded this scholarship? A: Receiving this scholarship is incredibly meaningful to me. I take great pride in my background as a first-generation student and a woman of color, so being recognized for my potential in a field that has historically underrepresented those communities is both affirming and empowering. This program will help connect me to the resources and committed mentors that will help me succeed. Beyond that, it is no secret that law school is a significant financial commitment. This scholarship helps ease both the financial burden and the stress that comes with it, allowing me to focus more on my education and long-term goals. I am incredibly grateful! Q: How will this scholarship help support your future goals? A: This scholarship has already connected me with an incredible network of faculty, business law professionals, and like-minded students. The community fostered by the Center for Business Law is deeply supportive, and I’m excited to grow alongside my cohort. I truly believe this network will play an important role in helping me thrive in law school and position me for success in business law. As I have seen firsthand how impactful both financial scholarship and mentorship are, I hope to give back in this same way later in my career.
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