Governed agents for reproducible scientific workflows.
Burs-IA can contribute an interoperability, evidence and human-governance layer between scientists, AI models, research software, data services and laboratory systems. We do not replace domain science: we make agent workflows more traceable, bounded and reproducible.
What we contribute
- Multi-agent and research-tool orchestration.
- Capability discovery before execution.
- Evidence/provenance for actions and results.
- Durable technical verification receipts.
- Exact human-approval gates for consequential actions.
- Fail-closed execution when required evidence is missing.
Best-fit research role
Technology-provider / SME-style technical partner for consortium work packages covering agent interoperability, trustworthy workflow orchestration, reproducibility, evaluation and demonstrator integration.
Burs-IA is not presenting itself as a scientific-domain authority or consortium coordinator.
Scientific boundaries
No independent scientific-validity claim, no clinical authority, no autonomous physical lab actuation by default, and no promotion of a technical PASS into a scientific conclusion.
Scientific hypotheses, experiment design, safety, ethics and interpretation remain with domain experts and the consortium.
Reference workflow
RAISE · Automated Scientific Discovery
HORIZON-RAISE-2027-01-01
Open 22 Sep 2026 · deadline 2 Feb 2027 · indicative budget €29M.
Potential fit: trustworthy closed-loop orchestration, provenance, reproducibility and demonstrator integration.
Official call →Enterprise Europe Network
RDRDE20260921013
German university AI/materials group seeking R&D consortia for the RAISE call. EOI deadline 31 Dec 2026.
Potential role: international technology partner.
Partner opportunity →MSCA Doctoral Networks 2026
Deadline 24 Nov 2026. International consortia may include private-sector organisations, businesses and SMEs.
Potential role: non-academic training and scientific-agent workflow partner.
Official call →AI4S · AI for Life Science
Preliminary submission window ends 10 Oct 2026. The challenge accepts AI agents, software tools, platforms, data pipelines and research-support systems.
Potential fit: research-workflow support demonstrator; no unsupported biological/clinical claims.
Challenge →Live Burs-IA technical surfaces
Canonical MCP endpoint: https://burs-ia.com/mcp