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The Google for Startups Cloud Program provides venture-backed, early-stage startups with cloud and AI compute credits to build and scale on Google Cloud.
AI-focused startups can receive up to $350,000 in Google Cloud credits (versus $200,000 for other startups) usable over two years, along with access to GPUs and Cloud TPUs, dedicated technical support, training on building generative AI applications with Vertex AI and Gemini models, and Google mentorship. The program is designed to lower the compute cost barrier for startups training and deploying AI models.
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Or search similar grants →According to the current listing, eligibility includes: Early-stage, venture-backed startups (typically pre-seed through Series A) that have not previously received significant Google Cloud credits. Startups apply through the Google for Startups Cloud Program portal, often via an accelerator, VC, or partner referral. Global eligibility subject to regional availability. Confirm the full requirements in the official notice before applying.
The current listing shows up to $350,000 in Google Cloud credits over two years for eligible AI-focused startups (up to $200,000, or $350,000 for AI startups), plus access to TPUs/GPUs, technical training, and Google mentorship. Credits are in-kind cloud/compute value, not cash. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Google for Startups Cloud Program Early Stage Track with Up to $350,000 in Cloud and GPU Credits for AI Startups is funded by Google Cloud (Google for Startups). 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 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.
NSF 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.
Read articleAs a generation of electricians, welders, and machinists retires with too few replacements, funders have poured more than a half-billion dollars into skilled-trades training — Lowe's $250M, BlackRock $100M, Google $50M, and more. It is one of the clearest philanthropic theses in 2026. Here is the funder landscape, why 'AI-proof' framing is driving it, and how a workforce nonprofit should position to win these grants.
Read articleThe California Civic Media Program is a $20 million public-private fund — $10 million from the state, $10 million matched by Google — that pays local newsrooms on a per-journalist formula: $20,000 for each of the first five FTE reporters, $10,000 for reporters six through twenty, capped at $250,000 per organization. Applications open July 6 and close August 21, 2026. Here is exactly how the formula works, which newsrooms qualify (and which are excluded), and how to position a small newsroom to win.
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