Scalable Platform for Enterprise Engineering and Deployment towards Mathematics for the Discovery of Algorithms and Architectures (SPEED DIAL)
STTR topic from DARPA, solicitation 26.TZ. Open now. Closes 2026-09-23 (14 days left).
- Component (WERX)
- DARPA
- Agency
- DARPA
- Program / Phase
- STTR
- Solicitation #
- 26.TZ
- Topic #
- DPA26TZ05-DV003
- Status
- Open
- Pre-release date
- 2026-08-05
- Open date
- 2026-08-26
- Close date
- 2026-09-23 · 14 days until close · Add to calendar · See all deadlines
- Set-aside
- —
- NAICS
- —
Topic brief
STTR topics require a research-institution partner. Treat DPA26TZ05-DV003 as a teaming problem first, technical proposal second — DARPA funds the collaboration, not a solo small-business essay.
Who this is for
- Small businesses with a university or FFRDC partner already identified
- Labs seeking an industry commercialization partner
- Firms that can split work share per STTR statutory rules
Capture playbook
- Confirm STTR work-share and research-partner eligibility early
- Lock the partner letter of commitment before writing deep technical pages
- Align the joint SOW to agency transition goals, not pure research
- Use the teaming marketplace if you still need a research partner
- Score fit with a readiness check before burning partner cycles
pWin cues
- Named PI at a credible research institution with relevant publications
- Clear commercialization path owned by the small business
- Prior joint work or a realistic transition plan
Watch-outs
- Partner delays kill STTR schedules more often than technical risk
- Work-share miscalculations can make a proposal non-compliant
- Pure research with no firm transition story underperforms at most agencies
Peer open topics
Topic brief FAQ
How is STTR different from SBIR?
STTR requires a formal research-institution partner and statutory work-share rules; SBIR can be small-business-only.
Can I post a teaming need for this topic?
Yes — use the teaming tools on the opportunity page (Team+ posts go live immediately; free/Pro posts may be moderated).
Where do I see similar past awards?
Related awards below are drawn from federal award records adjacent to this agency/topic family.
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Description
Develop and demonstrate a robust framework and tool suite building on automated algorithm discovery tools that will enable the seamless integration of discovered algorithms with the scientific and engineering workflow. This framework will provide domain experts with on-demand tools to discover new, bespoke algorithms, bridging the gap between algorithmic discovery and practical application and empowering engineers and scientists to leverage AI-driven algorithm design as a standard part of their process.
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