RFI for Scalable Platform Solution for Enterprise Engineering and Mathematical Deployment
Overview
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SUMMARY
KEY REQUIREMENTS
CONTRACT DURATION
TIMELINE
Month 4th, 2027: Architecture & Initial Library
Month 8th, 2027: Pervasive Engine Integration
Month 12th, 2027: In-Context Retrieval & Workflow Integration Tools
Month 14th, 2027: Interim Dow Demonstration
Month 18th, 2027: Closed-Loop Pipeline Release
Month 24th, 2027: Final Dow Demo & Transition
Issuing Agency
Darpa
DESCRIPTION
The vendor will provide a scalable platform solution for enterprise engineering and deployment focused on mathematical and scientific applications. The solution is expected to support artificial intelligence capabilities that can autonomously discover novel, high-performance algorithms for a range of scientific and engineering problems.
The initiative also seeks AI-driven methods for producing optimal meta-solvers for complex physics simulations. Vendors will develop and demonstrate a robust framework and tool suite built on automated algorithm discovery technologies, enabling seamless integration of discovered algorithms into scientific and engineering workflows.
The framework should provide domain experts with on-demand tools for discovering bespoke algorithms, bridging the gap between algorithmic discovery and practical application. The goal is to enable engineers and scientists to use AI-driven algorithm design as a standard part of their processes.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due September 23, 2026.
- Who issued this RFP?
- It was issued by Darpa. The work is located in United States.
- Who is a good fit for this opportunity?
- AI and scientific computing software company with expertise in automated algorithm discovery
- Experience developing scalable platforms for enterprise engineering and mathematical applications
- Background in physics simulation, optimization, meta-solvers, or high-performance computing
- Proven ability to integrate AI tools into scientific and engineering workflows
- Strong research and development capabilities in applied mathematics and machine learning
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.