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ARPA-H (through NIH) issued an Innovative Solutions Opening (ARPA-H-SOL-26-142) called ADVOCATE to support development of agentic AI systems for autonomous and semi-autonomous cardiovascular clinical care. The ISO describes a multi-phase program (Phase 1A, 1B, Phase 2) with milestones focused on prototype development, IV&V, FDA engagement, and scalability studies over ~39 months. The opportunity is an ARPA-H solicitation (likely to result in Other Transaction or Cooperative Agreement awards), open for full & open competition with NAICS 541714 and a solution submission/proposal deadline of 2026-04-01T21:00:00Z.
Starbridge can help you:
Pain points mentioned in board meetings and strategic plans
Instantly outline and draft all requirements
Bring in your USPs and exploit competitor gaps
Starbridge can help you:
Get ahead of RFPs — target accounts planning budget or ending contracts soon
Accounts with contract expirations, meetings mentioning your product, grants, budget changes and more
Starbridge.ai books 30 - 40% of leads into meetings
ARPA-H posted the AIR Innovative Solutions Opening (ISO) ARPA-H‑SOL‑26‑146 soliciting proposals to advance autonomous interventions and robotics research under the AIR program. The solicitation includes an Amendment #01 that updates the Solution Summary due date to 20 January 2026 at 5:00 PM ET and the Full Proposal due date to 18 March 2026 at 5:00 PM ET. Program materials and submission/teaming links are provided on the ARPA‑H program pages and via the SAM.gov attachments.
Posted Date
Nov 20, 2025
Due Date
Mar 18, 2026
Release: Nov 20, 2025
Close: Mar 18, 2026
ARPA-H posted the AIR Innovative Solutions Opening (ISO) ARPA-H‑SOL‑26‑146 soliciting proposals to advance autonomous interventions and robotics research under the AIR program. The solicitation includes an Amendment #01 that updates the Solution Summary due date to 20 January 2026 at 5:00 PM ET and the Full Proposal due date to 18 March 2026 at 5:00 PM ET. Program materials and submission/teaming links are provided on the ARPA‑H program pages and via the SAM.gov attachments.
AvailableOffice-wide innovative solutions opening.
Posted Date
Feb 28, 2024
Due Date
Mar 6, 2029
Release: Feb 28, 2024
Close: Mar 6, 2029
Office-wide innovative solutions opening.
AvailableIdentify ways for utilities to overcome key barriers to the adoption of generative artificial intelligence (genai) and agentic ai, including actionable guardrails such as cybersecurity protocols, architectural design options, and redundancy requirements, that help ensure secure AI deployment. Identify a minimum of four genai pilot applications within the water/wastewater sector and implement each within two additional utilities. Document the transfer process, data governance and data quality requirements, operational insights, lessons learned on reproducibility, and early impacts of each demonstration. One application should focus on knowledge transfer and training. Catalogue agentic ai applications currently in use within the water/wastewater sector and capture key lessons learned and early impacts from each application. Reproduce a minimum of one low-effort agentic ai application at another utility and document the transfer process and lessons learned.
Posted Date
Jan 24, 2026
Due Date
Feb 7, 2026
Office-wide innovative solutions opening for scalable solutions office.
Posted Date
Mar 14, 2024
Due Date
Mar 6, 2029
Release: Mar 14, 2024
Close: Mar 6, 2029
Office-wide innovative solutions opening for scalable solutions office.
AvailableSurface intent from meeting minutes, budgets, and contract expirations. Influence RFP requirements before competitors ever see them.
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Close: Feb 7, 2026
Identify ways for utilities to overcome key barriers to the adoption of generative artificial intelligence (genai) and agentic ai, including actionable guardrails such as cybersecurity protocols, architectural design options, and redundancy requirements, that help ensure secure AI deployment. Identify a minimum of four genai pilot applications within the water/wastewater sector and implement each within two additional utilities. Document the transfer process, data governance and data quality requirements, operational insights, lessons learned on reproducibility, and early impacts of each demonstration. One application should focus on knowledge transfer and training. Catalogue agentic ai applications currently in use within the water/wastewater sector and capture key lessons learned and early impacts from each application. Reproduce a minimum of one low-effort agentic ai application at another utility and document the transfer process and lessons learned.
Available