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The DARPA CLARA program seeks to create high-assurance AI by tightly integrating machine learning with automated reasoning. Rather than the current industry approach of loosely coupling ML with reasoning as an afterthought, CLARA funds research into deep compositional integration that produces AI systems with strong logical explainability and computational tractability.
The program targets applications in autonomous systems, command and control, kill web operations, supply chain logistics, wargaming, and medical, financial, and legal domains. TA1 funds development of new high-assurance ML/AR composition approaches including theory, algorithms, and open-source code. TA2 builds a software composition library that integrates validated TA1 tools into a common framework.
All software deliverables must use permissive open-source licenses. The program is managed by Benjamin Grosof in DARPA's Defense Sciences Office. Solicitation DARPA-PA-25-07-02 was published February 10, 2026, with full proposals due April 17, 2026 (extended from April 10 via Amendment 1).
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Search similar grants →Based on current listing details, eligibility includes: Universities, research organizations, small businesses, and large defense contractors eligible. All software deliverables must use permissive open-source licenses. Proposers should contact the program manager before submitting. Proposals submitted via SAM.gov. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $2,000,000 per award over 24 months. Two technical areas: TA1 funds development of new high-assurance ML/AR composition approaches; TA2 builds a software composition library integrating validated tools. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is April 17, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
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Guardian (DARPA-PS-26-17) is a grant from the Defense Advanced Research Projects Agency (DARPA) that funds development of genetic drive technologies (GDT) to controllably eliminate invasive species from defined areas, with primary focus on New World Screwworm and Brown Tree Snake in Guam. The program comprises three Technical Areas: GDT development and modeling (Phase 1, 18 months), contained laboratory and greenhouse testing (Phase 2, 18 months), and accelerated cell culture methods for studying gene drives. Research must address genetic precision, counter-measure design, and regulatory fieldability requirements. Applications were due by 7 April 2026. Eligible applicants include organizations meeting NAICS code 541714 under full and open competition, up to 1,000 employees.
Compositional Learning-And-Reasoning for AI Complex Systems Engineering (CLARA) is sponsored by Defense Advanced Research Projects Agency (DARPA). The CLARA program seeks innovative approaches to develop AI systems that are both fast and transparent, combining machine learning and automated reasoning components with hierarchical structure and transparent operation. A critical requirement is that all software produced must be released as open source under a commercialization-friendly license, with Apache 2.0 preferred. This signals DARPA's interest in the broader research community benefiting from the results.
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office issued solicitation DARPA-PA-25-07-02 for the Compositional Learning-And-Reasoning for AI Complex Systems Engineering (CLARA) program on February 10, 2026. CLARA aims to develop high-assurance AI systems that tightly integrate machine learning (ML) and automated reasoning (AR) through hierarchical composition of Bayesian models, neural networks, and logic programs. The program seeks to create a theory-driven, highly reusable, scalable foundation for high-assurance AI by merging machine learning's speed and flexibility with automated reasoning's verifiability and logical explainability. Technical Area 1 (TA1) focuses on developing new high-assurance ML/AR composition approaches including theory, algorithms, and open-source software implementations. Technical Area 2 (TA2) creates a software composition library to integrate validated TA1 tools into a common framework. Application domains include course-of-action planning, multi-condition medical guidance, supply chain and logistics, autonomous systems and command & control, wargaming, and science and technology design. Awards are expected to be executed by June 9, 2026. Proposals must be submitted via the DARPA BAA Tool at baa.darpa.mil.
Note: Each funding opportunity description is a synopsis of information in the Federal Register application notice. For specific information about eligibility, please see the official application notice. The official version of this document is the document published in the Federal Register. Free Internet access to the official edition of the Federal Register and the Code of Federal Regulations is available on GPO Access at: http://www.access.gpo.gov/nara/index.html. Please review the official application notice for pre-application and application requirements, application submission information, performance measures, priorities and program contact information. For the addresses for obtaining and submitting an application, please refer to our Common Instructions for Applicants to Department of Education Discretionary Grant Programs, published in the Federal Register on February 12, 2018 (83 FR 6003) and available at www.gpo.gov/fdsys/pkg/FR-2018-02-12/pdf/2018-02558.pdf. Purpose of Program: Two Department of Education (Department) programs fund this competition: the Technical Assistance and Dissemination to Improve Services and Results for Children with Disabilities (TA&D) program and the Personnel Development to Improve Services and Results for Children with Disabilities (PD) program. The purpose of the TA&D program is to promote academic achievement and to improve results for children with disabilities by providing technical assistance (TA), supporting model demonstration projects, disseminating useful information, and implementing activities that are supported by scientifically based research. The purposes of the PD program are to: (1) Help address State-identified needs for personnel--in special education, related services, early intervention, and regular education--to work with children with disabilities; and (2) ensure that those personnel have the skills and knowledge--derived from practices that have been determined through research and experience to be successful--that are needed to serve those children. Technical Assistance and Dissemination To Improve Services and Results for Children With Disabilities--State Technical Assistance Projects To Improve Services and Results for Children Who Are Deaf-Blind and National Technical Assistance and Dissemination Center for Children Who Are Deaf-Blind. Catalog of Federal Domestic Assistance (CFDA) number 84.326T. Funding Opportunity Number: ED-GRANTS-082118-001. Assistance Listing: 84.326. Funding Instrument: CA,G. Category: ED. Award Amount: Up to $2.1M per award.