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IARPA released five AI-focused research programs under its Emerging Technology Accelerator framework, announced 29 April 2026 after a January proposers' day attended by more than 550 participants, with opportunities posted on SAM. gov under the identifier DOI-ETA-FY26-30.
The five programs collectively seek to extract actionable insights from complex sources including geospatial imagery, circuit design, linguistic trends and open-source video. ARCADE targets electrical circuit design, deploying an AI-driven knowledge assistant able to ingest schematics and technical datasheets.
COSMIC develops methodology to leverage commercial remote sensing and open-source geolocation information to generate pseudo-persistent data, rapidly integrating multiple sources into a unified geospatial framework; its stated deadline of 30 June 2026 has passed. DECIPHER addresses linguistic analysis of novel and low-frequency terms including emerging slang, jargon, coded language and undefined acronyms.
LOCUS improves geolocation capability beyond current intelligence community baselines, and MOVES explores neurological diagnostic AI systems.
The Accelerator framework itself is the notable element: it is designed to bridge the gap between emerging solutions and successful operational application, and awards are made as Prototype Other Transaction Agreements through a competitive white-paper-first process on a rolling basis, which is faster and more accessible to non-traditional performers than a conventional IARPA program BAA.
No deadline is recorded here because the solicitation operates on a rolling basis with program-specific dates, some of which have passed; applicants should check SAM. gov under DOI-ETA-FY26-30 for the programs still accepting white papers.
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Or search similar grants →According to the current listing, eligibility includes: IARPA solicitations of this kind are generally open to all responsible sources, including universities, nonprofit research organisations, small businesses and large firms, and the Emerging Technology Accelerator framework is explicitly intended to reach performers who can move quickly from emerging solution to operational application, which favours teams with working capability over those proposing new fundamental research. Applicants must verify specific eligibility in the solicitation on SAM.gov under identifier DOI-ETA-FY26-30, because awards are made as Prototype Other Transaction Agreements, and Other Transaction authority commonly imposes conditions that grant applicants are unused to, including non-traditional-defense-contractor participation or cost-sharing requirements, and in some cases restrictions on foreign participation. Intelligence community work may also impose facility security and personnel clearance requirements that should be confirmed before a team commits. Substantively, fit to one of the five programs is the real filter and the programs are narrow: ARCADE for AI knowledge assistants that ingest circuit schematics and technical datasheets, COSMIC for commercial remote sensing and open-source geolocation fused into pseudo-persistent geospatial data, DECIPHER for linguistic analysis of novel and low-frequency terms such as emerging slang, jargon, coded language and undefined acronyms, LOCUS for geolocation beyond current intelligence community baselines, and MOVES for neurological diagnostic AI. A general-purpose machine learning proposal that does not map to one of these problem statements will not be competitive. The process is white paper first on a rolling basis, which lowers the cost of entry. Award amounts are not published; the 1 to 5 million dollar range recorded here reflects typical IARPA performer awards reported by third parties, not a program figure. COSMIC's 30 June 2026 deadline has passed, so applicants should confirm on SAM.gov which programs remain open and obtain the current solicitation terms directly. Confirm the full requirements in the official notice before applying.
The current listing shows IARPA does not publish award ceilings for the Emerging Technology Accelerator programs, which is the most consequential gap for planning and should be treated as such. The figures recorded here, amount_min 1,000,000 and amount_max 5,000,000 US dollars, are not published program amounts but the typical IARPA performer award range reported by third-party analysts depending on scope and phase, and applicants must confirm actual expected values with the government rather than budget against them. Several structural features bear on cost. Awards are made as Prototype Other Transaction Agreements rather than as grants or standard procurement contracts, which carries two implications: the process is faster and more flexible than a Federal Acquisition Regulation competition, but Other Transaction Agreements frequently involve cost sharing or non-traditional-participant requirements that applicants should clarify early, and the accounting and reporting expectations differ from grant practice. The route in is white paper first through a rolling solicitation posted on SAM.gov under identifier DOI-ETA-FY26-30, so the cost of an initial submission is low and a team can test fit before committing to a full proposal. Because the Accelerator framework is explicitly designed to close the gap between emerging solutions and operational application, proposals are expected to start from existing capability rather than from first principles, and budgets should reflect adaptation, integration and evaluation of something that largely works rather than multi-year fundamental research. Teams should also cost the classification, facility and personnel-clearance overhead that intelligence community prototype work can impose, which commercial AI teams routinely omit. Verify award ceilings, matching requirements, and allowable costs in the official notice.
IARPA Emerging Technology Accelerator FY2026 AI Program Suite ARCADE COSMIC DECIPHER LOCUS and MOVES for Intelligence Community AI Prototypes is funded by Intelligence Advanced Research Projects Activity (IARPA), Office of the Director of National Intelligence. 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.
IARPA Solutions Marketplace Rolling Open Call for AI and Emerging Technology Solutions for the Intelligence Community is sponsored by Intelligence Advanced Research Projects Activity (IARPA), Office of the Director of National Intelligence. A long-term, open-call initiative designed to streamline the identification and acquisition of technologies supporting research, development, experimentation, prototyping, testing, procurement, and sustainment in areas including artificial intelligence and data science for the I…
Intelligence Advanced Research Projects Activity (IARPA) Solutions Marketplace Rolling Open Call for AI and Emerging Technology Solutions for the Intelligence Community is sponsored by Intelligence Advanced Research Projects Activity (IARPA), Office of the Director of National Intelligence. This is a long-term, open-call announcement seeking solutions to support IARPA and the broader Intelligence Community (IC) in advancing research, development, experimentation, prototyping, and testing in areas including artificial intelligence and data science.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
PRIMED-AI is a new NIH Common Fund programme, Precision Medicine with AI: Integrating Imaging with Multimodal Data, which combines medical imaging with other health data to build AI-powered clinical decision support tools for personalised medicine. This opportunity, RFA-RM-27-014, funds the programme's Validation Center: a dedicated hub that independently evaluates and characterises the AI-enabled, image-based multimodal clinical decision support tools developed elsewhere in the consortium. The structural logic matters for applicants. NIH has separated tool-building from tool-validation and is paying separately for the second, which signals institutional recognition that self-reported performance claims from developing teams are not sufficient evidence for clinical AI. The Center's remit covers verification, validation, interoperability and uncertainty quantification, so the deliverable is a reproducible evaluation capability rather than a set of papers. It operates as a U54 cooperative agreement, meaning NIH staff are substantively involved and the Center must work in concert with the PRIMED-AI Logistics Center and the Data-to-Model and Model-to-Clinic award recipients. The RFA was released on 30 June 2026 with applications due 2 October 2026. For academic groups that have built credible AI evaluation methodology, particularly in radiology, imaging informatics or biostatistics, this is an unusually direct route to becoming the reference evaluator for a major federal AI health programme, and the position carries influence over how clinical AI performance gets measured well beyond the life of the award.
RFA-RM-27-015 funds a single Logistics Center as the coordinating hub of the NIH Common Fund's PRIMED-AI program, Precision Medicine with AI: Integrating Imaging with Multimodal Data. The award is a cooperative agreement, meaning substantial NIH scientific and programmatic involvement is built in rather than incidental, and it is administered by NIBIB on behalf of the Common Fund. The Center operates through three integrated cores: Administration, which runs the steering committees and develops consortium policies; Evaluation, which assesses progress across the funded portfolio; and Outreach, which maintains a web portal for sharing AI-based clinical decision support tools and facilitates engagement between researchers, clinicians and patient communities. The strategic point for applicants is that this is the only coordinating award in a multi-award program whose other components, the Data-to-Model Academic-Industrial Partnerships, Model-to-Clinic and Multi-use Frameworks Playbook RFAs, are separately competed and separately funded. The Logistics Center therefore does not generate its own AI models; it is scored on its capacity to run a consortium, set data and tool-sharing policy, and build infrastructure that makes other teams' clinical decision support tools discoverable and reusable. Applications are due by 5:00 PM local time of the applicant organization on the date specified for the relevant review cycle, with an earliest project start date of 2 October 2026 and a maximum project period of five years.
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