Measurable
Success criteria and evaluation benchmarks are defined before execution, not after a demo lands.
Research standards
Stratir treats research integrity as operating practice: measurable challenge problems, inspectable methods, bounded agents, and human authority over findings. That discipline shapes every program the lab scopes, evaluates, and releases.
Program discipline
Adapted from ARPA-style program discipline: high payoff if it works, measurable before it ships, inspectable under review, built for transition.
Success criteria and evaluation benchmarks are defined before execution, not after a demo lands.
Architecture, provenance, and agent behavior stay open to operator and peer review.
Programs pursue methods that matter if they work, not incremental dashboard features.
Releases transfer into live work with evaluation evidence, not slideware promises.
Operating principles
01
Research and releases are designed for open, permissioned, and customer-authorized workflows.
02
Outputs preserve collection path, confidence, and uncertainty rather than collapsing them into summary.
03
Agents operate inside scoped tasks with tool limits, guardrails, and human review.
04
AI accelerates work. Humans retain interpretation, escalation, and final judgment.
05
Outputs are exportable, reviewable, and traceable rather than black-box conclusions.
06
Sensitive workflows require proportionality, controlled pivots, and security awareness.
Open publication
Stratir publishes field briefs, methods, and inspectable releases so transition partners can evaluate before adoption. Where classification, authorization, or partner constraints apply, the lab still keeps internal provenance and review gates intact.