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No fixed deadline; applications are considered on a rolling basis via a Google Form.
The Google AI Futures Fund is a strategic initiative from Google Labs that invests in and collaborates with early-to-mid-stage startups building ambitious AI applications. Unlike traditional grant programmes, the AI Futures Fund operates on a rolling basis with no fixed application window or batch/cohort model — Google considers investment opportunities continuously.
Selected startups receive a comprehensive package including early access to select AI models from Google DeepMind such as Gemini (language), Imagen (image generation), and Veo (video generation), hands-on support from researchers, engineers, product managers, designers, and go-to-market specialists from Google DeepMind and Google Labs, Google Cloud credits with dedicated technical support, and the opportunity to seek direct equity investment from Google.
Investment check sizes vary based on the company's stage and needs, typically targeting early to mid-stage companies with flexibility for later-stage opportunities. In 2026, Google partnered with Accel for an India-focused AI Futures Fund cohort (Atoms AI Cohort 2026), offering up to $2 million per startup as a co-investment. The programme has global scope and has funded startups across North America, Europe, India, and other regions.
The fund focuses on startups building transformative applications of generative AI, foundation models, and multimodal AI across industries.
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Or search similar grants →According to the current listing, eligibility includes: Early-to-mid-stage AI startups building products or services leveraging frontier AI capabilities. Global eligibility. Confirm the full requirements in the official notice before applying.
The current listing shows variable investment amounts based on company stage. Up to $2 million per startup in co-investment partnerships (e.g., Google + Accel co-investment for India cohort). Includes early access to Google DeepMind models (Gemini, Imagen, Veo), Google Cloud credits, and dedicated technical support. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Google AI Futures Fund for Early-Stage AI Startups with DeepMind Model Access accepts applications on a rolling basis — there is no single fixed deadline. Check the official notice for any cycle-specific review dates.
Google AI Futures Fund for Early-Stage AI Startups with DeepMind Model Access is funded by Google Labs. Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
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.
OpenAI's AI and Teen Development Research Grant Program makes up to 5,000,000 US dollars available in grants of up to 1,000,000 dollars for independent research on how AI affects adolescent development and wellbeing. Applications opened 8 September 2026 at 8:00 AM PDT and close 6 October 2026 at 11:59 PM PST, with notifications by 13 November 2026, and submission is through the SurveyMonkey Apply platform. The published scope has four strands: teen usage patterns and developmental outcomes; AI's potential effects on young people's lives; the factors that cause those effects to differ across populations and contexts; and design interventions and safety mechanisms. The inclusion of the fourth strand is what separates this from a pure effects-measurement programme, since it invites work that proposes and tests product-level safeguards rather than only documenting harm or benefit. The third strand is equally notable: OpenAI is asking specifically about heterogeneity of effect, which is an implicit acknowledgement that aggregate findings about teen AI use have limited policy value. Review is rolling and conducted by internal researchers and outside experts. Non-profit applicants are preferred and for-profit organisations are explicitly not prioritised, and indirect costs are capped at 10 percent of the grant, both of which shape who can realistically compete.
DOE's Quantum HPC Validation and Verification Testbed lab call carries $45 million, $14 million of it in FY 2026, and is open only to National Laboratories. Whoever wins it writes the definition of '100 logical qubits' that decides who collects from a $200 million prize pool.
Read articleNSF announced three more X-Labs topics on September 16, 2026 — Artificial Intelligence for Physical Systems is live, with Sequence to Function and Computation at the Limit of Physics coming this fall. The Q&A webinar is October 14 and an RFI on future topics closes October 30. The per-topic key-personnel restriction is what should be driving your team-building decisions.
Read articleNSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
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