AI grants in the United States
Explore AI grants for companies in the United States. This list brings together funding for machine learning, foundation models, AI infrastructure and applied AI from US innovation agencies, research funders and foundations, international programs open to applicants in the United States, and competitions any company can enter, with the deadline, award size and eligibility on every listing. Grants aimed at AI in the United States come first.
Showing 721-744 of 881 grants
Sloan Research Fellowships
🇺🇸Sloan Foundation · United States
Funds exceptional early-career North American STEM researchers through prestigious academic fellowships.
South Carolina Angel Investor Tax Credit
🇺🇸SC DOR · United States
Provides tax relief support for accredited investors and South Carolina early stage companies through an angel investor programme.
Urban Transit Hub
🇺🇸NJ Division of Taxation · United States
Funds only legacy New Jersey transit-hub facility investments and job creation through ten-year tax credits.
GREGoRi Innovation Projects
NIH · United States
Funds a genuinely new experimental or computational approach to finding the cause of a rare genetic disorder, where the current state of the art falls short.
ARC Prize 2026
ARC Prize · United States
Awards $2M in prizes across three tracks for open-source AI research advancing progress toward AGI.
Developing novel theory and methods for understanding the genetic architecture of complex human traits (R01)
NIH · United States
Funds theory and method development on how genetic and non-genetic factors together produce variation in complex traits, tested against large existing datasets.
Secondary Analysis and Integration of Existing Data to Elucidate Cancer Risk and Related Outcomes (R01)
NIH · United States
Funds new analysis of clinical, genomic, environmental and registry data that already exists, to sharpen who is at risk of cancer and what happens to them.
Secondary Analysis and Integration of Existing Data to Elucidate Cancer Risk and Related Outcomes (R21)
NIH · United States
Funds the same reanalysis of already-collected cancer data on a smaller, exploratory footing, for teams that do not need a full research project award.
Academic-Industrial Partnerships (AIP) to Translate and Validate In Vivo Imaging Systems
NIH · United States
Funds a company and an academic group working as one team to turn an imaging, spectroscopy or data-science advance into something usable in the clinic.
Developing novel theory and methods for understanding the genetic architecture of complex human traits (R21)
NIH · United States
Funds the exploratory version of the same theory-and-methods work on complex trait variation, for ideas that need testing before a larger project is justified.
Personal Health Informatics for Delivering Actionable Insights to Individuals
NIH · United States
Funds informatics tools that take a person's own health data and hand back a risk assessment they can understand and do something about.
Development and Validation of Novel Tools to Probe Cell-Specific and Circuit-Specific Processes in the Brain
BRAIN Initiative · United States
Funds new methods to study brain cells and circuits with tools for deeper neural research.
NIDA Animal Genomics Program
NIH · United States
Funds genomic work in animals on what makes addiction start, escalate, persist and relapse — any kind of genetic variant.
New Approaches for Measuring Brain Changes Across Longer Timespans (R01)
NIH · United States
Funds new or newly applied ways to measure brain activity, connectivity or genomics across the lifespan, to predict what happens later.
New Approaches for Measuring Brain Changes Across Longer Timespans (R21)
NIH · United States
Funds highly novel approaches to measuring brain activity, connectivity or genomics repeatedly across the lifespan, on an exploratory footing.
BRAIN Initiative: Brain Behavior Quantification and Synchronization- Next Generation Sensor Technology Development
NIH · United States
Funds next-generation sensors and bioelectronic devices that record behaviour in step with brain recordings, to build models of how the two connect.
BRAIN Initiative Connectivity across Scales (BRAIN CONNECTS): Specialized Projects for Scalable Technologies
NIH · United States
Funds technology anywhere in the connectomics pipeline — collection, reconstruction, analysis, dissemination — to make brain wiring diagrams faster and cheaper.
BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain
NIH · United States
Funds computational tools, models and theories for understanding brain circuits, built to be shared broadly with the research community.
Laboratories to Optimize Digital Health
NIH · United States
Funds a test bed built on an existing digital mental health platform, to refine interventions fast and then run a definitive trial on them.
Modular R01s in Cancer Control and Population Sciences
NIH · United States
Funds novel ideas in cancer control and population science — statistics, epidemiology, survivorship, behaviour, care delivery, digital health, implementation.
Screening and Functional Validation of Genomic Variants Associated with Human Congenital Anomalies
NIH · United States
Funds functional testing of genetic variants linked to congenital anomalies, to separate the ones that matter from the ones that merely appear.
Utilizing Invasive Recording and Stimulating Opportunities in Humans to Advance Neural Circuitry Understanding of Mental Health Disorders (R01)
NIH · United States
Funds studies using electrodes already implanted in people to record and stimulate directly, answering mental health questions no scan can reach.
Utilizing Invasive Recording and Stimulating Opportunities in Humans to Advance Neural Circuitry Understanding of Mental Health Disorders (R21)
NIH · United States
Funds the exploratory version of invasive human neural recording and stimulation work on mental health questions.
Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research
NIH · United States
Funds new bioinformatics, computational biology, or AI methods that turn messy biomedical datasets into usable knowledge.