Andy Konwinski, a co-founder of Databricks and an early co-founder of Perplexity, pledged $100 million of his personal money to launch Laude Institute on June 23, 2025. The initiative is not simply a conventional venture-capital fund, and Databricks and Perplexity are not documented as its sponsors. Laude is structured as a nonprofit with a public-benefit-corporation operating arm intended to fund computer-science research, support open-source projects and startups, and build larger research programs.
Laude has since moved beyond its launch announcement. It has awarded early grants through its Slingshots program and selected teams for its first Moonshots cohort. Laude says it expects to decide in October 2026 whether to fund a potential $10 million multi-year research lab.
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The short version
- Who: Andy Konwinski, a Databricks co-founder and early Perplexity co-founder.
- What: Laude Institute, a nonprofit with a public-benefit-corporation operating arm.
- Amount: A $100 million personal commitment from Konwinski, not a documented corporate pledge from Databricks or Perplexity.
- Launch date: June 23, 2025.
- Programs: Slingshots for faster, smaller-scale support and Moonshots for ambitious, potentially lab-scale research.
- Current status: Laude reports grant cohorts, 25 funded or recognized Moonshots teams, and a possible $10 million lab still awaiting a decision.
The important distinction is between money pledged, money awarded, and outcomes demonstrated. Laude has reported awards and active programs, but the long-term scientific or social impact of the initiative is not yet established.
Who is Andy Konwinski?
Konwinski comes from the research-to-product side of the technology industry. He was a co-founder of Databricks, the data and AI company associated with Apache Spark and the UC Berkeley computer-science ecosystem. He was also involved in founding Perplexity.
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That background helps explain Laude’s premise: academic researchers may produce important ideas, but turning those ideas into durable software, companies, or widely used systems often requires money, computing capacity, engineering help, and product support. Konwinski’s career spans the path Laude wants to support—from university research to open-source infrastructure and commercial technology.
He should not be described as Perplexity’s chief executive or sole founder. The relevant point is his role as a co-founder and his experience translating research into large-scale technology.
What is Laude Institute?
Laude describes itself as a nonprofit with a public-benefit-corporation operating arm. That hybrid structure is central to its identity.
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The nonprofit component is intended to support a public-interest mission. The operating arm is designed to help Laude move faster, hire competitively, and offer practical assistance that can be difficult to provide through conventional grant-making organizations.
Laude says it was built “by and for” computer-science researchers. Its stated model sits between several familiar institutions:
- Traditional academic grant-making, which often emphasizes papers and investigator-led projects.
- Venture capital, which generally expects a path to financial returns.
- Corporate research labs, which can provide substantial computing and engineering resources but operate within company priorities.
- Philanthropic organizations, which may fund public-interest work without requiring commercial outcomes.
Laude may support projects that become startups, but its stated mission also includes open research and public-benefit outcomes that do not necessarily fit a venture-return model.
Where does the $100 million go?
The $100 million is best understood as Konwinski’s initial backing or committed personal capital to get Laude off the ground—not as a single check that has already been distributed.
Laude’s launch announcement said the money was committed to start the organization and suggested that additional financial support could come from other technologists. The available reporting does not establish that the full $100 million has been legally transferred, spent, or allocated to specific grants.
Laude’s reported commitments provide a more concrete picture of activity so far:
- Eight Moonshots winning teams received $250,000 each.
- Four runners-up received $200,000 each.
- Thirteen honorable mentions received $100,000 each.
- The eight winning teams were developing proposals for a potential $10 million multi-year Moonshot Lab.
Those reported Moonshots awards total more than $4 million in seed funding across the cohort. The possible $10 million lab had not yet been awarded as of the latest information in the dossier; Laude said a decision was planned for October 2026.
Laude Institute is also separate from Laude Ventures, Konwinski’s early-stage venture fund for technical founders and researcher-led startups. The two names should not be treated as interchangeable, and money managed by Laude Ventures should not be counted as Laude Institute grant funding.
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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesWhat are Laude’s Slingshots?
Slingshots are designed for earlier-stage or more immediately actionable research. Laude describes them as fast, low-friction grants paired with practical support.
Depending on the project, that support can include:
- Computing resources.
- Engineering assistance.
- Product guidance.
- Advice on open-source release.
- Help forming a startup.
- Connections to researchers and technology professionals.
Slingshots are intended to operate through rolling applications rather than a single annual academic grant cycle. Recipients are expected to move their work into the world through an open-source project, startup, or another useful artifact.
That “ship the work” emphasis is a meaningful difference from conventional academic funding, where publication may be the primary deliverable. It can make research more useful to developers and the public, but it can also favor projects with a clear deployment path over basic research whose value may take years to emerge.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchLaude’s first reported Slingshots group included projects associated with Stanford, Berkeley, MIT, Carnegie Mellon, Princeton, and other institutions. Examples listed by Laude included Terminal-Bench, DSPy, ARC-AGI-3, and CodeClash. A Berkeley EECS account also described Laude-backed awards for researchers working on next-generation AI systems.
What are Moonshots?
Moonshots are Laude’s larger-scale research program. The first call sought ambitious applications of AI to broad societal problems rather than only incremental improvements to existing models.
The four initial focus areas were:
- Accelerating scientific discovery.
- Advancing healthcare.
- Strengthening civic discourse.
- Enabling workforce reskilling.
Laude reported that the first call attracted 125 proposals from more than 600 researchers across 47 institutions. Eight teams received $250,000 each and six months to develop more detailed proposals for a potential Moonshot Lab.
The program is therefore not just a one-time prize competition. Its stated design is to use relatively smaller seed awards to identify teams that could grow into interdisciplinary research labs requiring much larger, multi-year support.
What has Laude accomplished since its launch?
Laude’s documented progress goes beyond the original announcement:
- It launched the Slingshots program and supported projects intended to become open-source software, startups, or other usable artifacts.
- It ran its first Moonshots program.
- It attracted proposals from hundreds of researchers at dozens of institutions.
- It funded or recognized a 25-team Moonshots cohort: eight winners, four runners-up, and 13 honorable mentions.
- It began developing a possible $10 million multi-year lab from the eight winning teams.
- It positioned an AI Systems Lab at UC Berkeley as an early flagship grant or anchor project.
These figures come from Laude’s own program updates and should be read as organization-reported activity, not as independently audited measures of impact. Grants and project launches show that the organization is operating; they do not yet demonstrate that Laude’s model produces better scientific or social outcomes than universities, companies, or conventional philanthropies.
Why Laude believes this model is needed
AI research increasingly requires resources that universities may struggle to provide. Frontier systems can demand expensive computing, specialized engineering, large datasets, and teams able to maintain software after publication.
At the same time, major technology companies can often offer researchers higher compensation and more infrastructure than academic institutions. Research that remains inside a company may be difficult for outsiders to inspect, reproduce, or build upon. Research that remains inside a university may never receive the engineering support needed to become a reliable tool.
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How Laude differs from traditional philanthropy
Laude’s approach has several distinguishing features:
- Faster decisions: Rolling or low-friction grants may avoid long academic funding cycles.
- Technical support: Laude intends to provide engineering, computing, and product assistance rather than only cash.
- Artifact-based outcomes: Researchers are encouraged to produce software, startups, or another deployable result.
- Flexible scale: The model combines smaller rapid grants with the possibility of large multi-year labs.
- Researcher participation: Laude says researchers and technologists help shape selection and advising.
The trade-off is greater funder influence over research direction. A program that emphasizes deployment may overlook basic research with no immediate product path. Startup support can also create tension between public access, private ownership, and investor returns.
Laude Institute versus Laude Ventures
| Laude Institute | Laude Ventures | |
|---|---|---|
| Type | Nonprofit with a public-benefit-corporation operating arm | Separate early-stage venture fund |
| Primary purpose | Support research, open-source work, public-benefit projects, and potential labs | Invest in technical founders and researcher-led startups |
| Expected financial return | Not presented as the central objective | Part of the venture-capital model |
| Typical support | Grants, computing, engineering, product help, and research programs | Early-stage startup investment |
A Laude Institute-backed project could potentially become a startup, but that does not mean every Laude grant is a venture investment or that every project is expected to produce a financial return.
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Open questions and potential weaknesses
The organization’s model is ambitious, but several issues will determine whether it becomes a durable alternative to academic and corporate research funding.
How much of the pledge has actually been deployed?
The headline figure is $100 million, but readers should distinguish among capital pledged, legally committed, transferred, awarded, and spent. Laude’s public updates identify specific awards, but they do not establish that the entire pledge has been allocated.
Who controls research priorities?
A founder-funded organization can move quickly, but it also concentrates influence. Transparency around grant criteria, conflicts of interest, adviser roles, and decision-making will matter—especially when applicants have ties to Laude’s leadership, advisers, or related commercial entities.
Does “open” always mean publicly released?
Laude’s descriptions emphasize open-source projects, startups, or other artifacts, but that should not be read as a blanket promise that every grant will release all code, models, or datasets. Safety, privacy, security, intellectual-property, and commercialization concerns can affect what is published.
Can open-source projects remain sustainable?
Publicly releasing software does not guarantee maintenance, documentation, safety testing, or adoption. A project may need a long-term institutional or commercial home after its initial grant ends.
Will the model favor elite institutions?
The first Moonshots call drew researchers from 47 institutions, but prestigious networks can still influence who hears about programs, who can assemble large proposals, and who has access to the computing and staff needed to compete.
How will success be measured?
Laude will eventually need to show more than award totals. Useful measures could include software adoption, reproducibility, scientific discoveries, public access, startup durability, safety performance, and benefits that persist after grant funding ends.
What happens next?
As of the latest information available in August 2026, the eight Moonshots winners were developing proposals for a possible larger lab. Laude expected a decision on the proposed $10 million multi-year Moonshot Lab in October 2026.
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Future reporting should also clarify how much of Konwinski’s original commitment remains available, whether additional donors have contributed, and how Laude Institute’s grant activity relates—if at all—to Laude Ventures’ investments.
Bottom line
Konwinski’s $100 million pledge is best understood as the starting capital for an experiment in research funding, not as a Databricks or Perplexity corporate fund. Laude Institute is trying to combine nonprofit goals with industry-style execution: quick grants, engineering support, open-source and startup pathways, and potentially large research labs.
The experiment is already producing reported grants and program activity. The harder question is whether this founder-funded hybrid can deliver open, useful, and durable AI research at a scale and speed closer to industry—without sacrificing academic independence, transparency, or public benefit.
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