Research-backed AI engineering

Governed agent optimization, grounded in research

Traigent connects product engineering with peer-reviewed work on governed tuned variables, CI/CD evidence, and formal agent specifications.

Peer-reviewed researchCAIN 2026 Research Track Co-located with ICSECAIN 2026 / ICSE 2026 Formal specificationTVL language

CAIN 2026 paper

Governed Configuration for AI-Enabled Systems: Maintaining Tuned Variables in CI/CD

The paper frames tuned variables as governed configuration choices for AI-enabled systems and outlines a CI/CD-oriented lifecycle for evidence, promotion, and rollback.

Short paper CAIN 2026 Research Track Co-located with ICSE 2026
View official CAIN entry

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