Stratir

Research standards

Methods that hold under review.

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

How Stratir scopes and evaluates research

Adapted from ARPA-style program discipline: high payoff if it works, measurable before it ships, inspectable under review, built for transition.

Measurable

Success criteria and evaluation benchmarks are defined before execution, not after a demo lands.

Inspectable

Architecture, provenance, and agent behavior stay open to operator and peer review.

High payoff

Programs pursue methods that matter if they work, not incremental dashboard features.

Transition-ready

Releases transfer into live work with evaluation evidence, not slideware promises.

Operating principles

Constraints that keep intelligence work accountable

01

Lawful collection

Research and releases are designed for open, permissioned, and customer-authorized workflows.

02

Source provenance

Outputs preserve collection path, confidence, and uncertainty rather than collapsing them into summary.

03

Bounded agents

Agents operate inside scoped tasks with tool limits, guardrails, and human review.

04

Operator authority

AI accelerates work. Humans retain interpretation, escalation, and final judgment.

05

Evidence discipline

Outputs are exportable, reviewable, and traceable rather than black-box conclusions.

06

Operational restraint

Sensitive workflows require proportionality, controlled pivots, and security awareness.

Open publication

Show the work where the discipline allows

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.

  • Field briefs and case files with visible sourcing
  • Open repositories and release notes for public engines
  • Evaluation criteria stated before program execution
  • Human review gates before findings leave the lab

Build workflows that remain inspectable under scrutiny.

Discuss research standards