1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
"Scaling AI Safety for a Multi-Agent World Research Funding Call from Google DeepMind, Schmidt Sciences, Cooperative AI Foundation and ARIA" is currently closed and not accepting applications.
Scaling AI Safety for a Multi-Agent World is a joint technical AI safety funding call from Google DeepMind, Schmidt Sciences, the Cooperative AI Foundation, ARIA, and Google. org, committing up to $10,000,000 to research on the safety of systems in which many AI agents interact.
The premise is that most existing alignment and evaluation work studies a single model in isolation, while deployment is moving rapidly toward populations of agents that negotiate, delegate, compete, and coordinate - a regime with failure modes that single-agent safety work does not surface.
Four research priorities are named: sandboxes and testbeds providing reproducible environments for evaluating multi-agent safety; the science of agent networks, covering how collective capabilities emerge and how dangerous population-level properties can be detected; strengthening agent infrastructure, including protocols for identity, reputation, and secure cross-platform interaction; and oversight and control, meaning monitoring methods for populations of deployed agents.
Individual awards run $50,000 to $300,000 for projects of up to two years, which sizes them for a postdoc, a graduate student team, or a small independent research group rather than a large centre. The call is open to academic and independent researchers worldwide, and applications are handled through the Schmidt Sciences SM Apply portal.
The 2026 round closed on 8 August 2026 with awardees to be announced in Autumn 2026; researchers should watch the partner sites for a subsequent round.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Open to academic and independent researchers worldwide, including academic institutions and nonprofit research organisations. Proposals should address one or more of the four named priorities: sandboxes and testbeds for multi-agent safety evaluation, the science of agent networks, agent infrastructure for identity and reputation and secure interaction, or oversight and control of deployed agent populations. Projects may run up to two years. Applications are submitted through the Schmidt Sciences application portal at schmidtsciences.smapply.io. The 2026 round closed on 8 August 2026 with awards announced in Autumn 2026; check the partner organisations for future rounds. Confirm the full requirements in the official notice before applying.
The current listing shows A joint fund of up to $10,000,000 across the partner organisations. Individual awards range from $50,000 to $300,000, supporting projects of up to two years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was August 8, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Scaling AI Safety for a Multi-Agent World Research Funding Call from Google DeepMind, Schmidt Sciences, Cooperative AI Foundation and ARIA is funded by Google DeepMind, Schmidt Sciences, Cooperative AI Foundation (CAIF), UK Advanced Research and Invention Agency (ARIA), and Google.org. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
The Sony Research Award Program is Sony's principal channel for funding external academic research, and the Focused Research Award is its collaborative track: up to 150,000 dollars for focused joint research between a university or research institute and Sony. The 2026 research areas are unusually broad for a corporate program and cover most of the modern AI stack alongside Sony's hardware interests - AI and large language models, computer vision, machine learning, robotics, human-computer interaction, affective computing, speech and language technologies, audio technologies, RF sensing, wireless communications, cybersecurity, sports technology, digital humans, generative AI, content creation and neural rendering, plus device-level areas including MicroLED and optical metasurfaces. For AI and robotics groups this makes it one of the wider corporate calls available, though the breadth is deceptive: Sony funds work that connects to its own research agenda, and proposals are strongest when there is an identifiable Sony research counterpart for the collaboration. Eligibility is tightly drawn around the principal investigator rather than the institution. The PI must be a full-time faculty member or researcher at a recognized institution - Assistant Professor, Associate Professor, Professor or equivalent researcher - and must be able to supervise PhD students. Co-PIs are permitted but must be from the same institution and meet the same requirements, which rules out the cross-institutional consortia common in public funding. The 2026 deadline is 15 September 2026 at 11:59pm Pacific, with a separate India-specific time given as 16 September 2026. Submission guidelines are on the Sony Research Award Program site.
The Meta Research PhD Fellowship supports doctoral students conducting research in areas central to Meta's technical agenda, with several of its annual award tracks dedicated to artificial intelligence and machine learning. Current AI-relevant tracks include AI System Hardware/Software Co-Design (high-performance AI algorithms spanning model compression, numerical optimization, benchmarking, and distributed inference and training), Applied Statistics (bias and variance estimation and correction in models and datasets, uncertainty quantification), AR/VR Human Understanding (efficient ML techniques that run on AR/VR devices), and Programming Languages (program synthesis, probabilistic and differentiable programming). Recipients receive two years of paid tuition and fees, a $42,000 annual stipend covering living expenses and conference travel, and a paid visit to Meta headquarters for the annual Fellowship Summit; the award carries no intellectual property claim on the student's research. The 2027 cycle opened August 3, 2026 with applications closing September 20, 2026, reference letters due in October 2026, and winners notified in January 2027.
Schmidt Sciences opened a 'Scaling AI Safety for a Multi-Agent World' program with awards up to $1 million and an August 8, 2026 deadline. Against a backdrop of federal research slowdowns, here is why private science philanthropy matters more than ever, how these funders differ from federal agencies, and how researchers should approach them.
Read articleSchmidt Sciences' 2026 Science of Trustworthy AI RFP closes May 17 with two funding tiers — up to $1M (Tier 1) and $1–5M+ (Tier 2) over 1–3 years, with a 10% indirect cost cap. The three research aims target misalignment under distribution shift, predictive-validity evaluations, and oversight of superhuman systems. Here is why the structure favors team-based proposals.
Read articleGoogle.org is offering up to $3 million per organization across two AI challenges — one for government innovation, one for scientific breakthroughs. Eligibility, strategy, and what wins.
Read article