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Trust and compliance

Built for regulated analytical development

Methodra is being built for regulated analytical development, with explicit checkpoints, human approval, and records teams can review with confidence.

  • Explicit checkpoints, not vague guardrails.
  • Reviewable audit history.
  • AI recommends. Scientists approve.

Compliance model

Regulatory alignment

Checks and approvals are part of the workflow, not an after-the-fact cleanup step.

Audit defensibility

Records are designed to stay reviewable and defensible over time.

Human control

No critical stage advances without explicit scientist sign-off. The platform is built to support accountability, not obscure it.

Audit trail

Every material decision can be traced back to evidence.

Review teams should be able to see what changed, who approved it, and what evidence supported the decision without reconstructing the story by hand.

Complete event history

Material actions are recorded so teams can reconstruct what changed, when, and why.

Integrity protection

Audit records are protected so teams can trust the integrity of the history.

Reviewable evidence

Results stay attributable and reviewable instead of dissolving into loose notes and memory.

What reviewers can reconstruct

Create run Submit results Approve gate Override priority

The goal is straightforward: make review easier without forcing teams to reverse-engineer what happened from scattered notes.

Deterministic quality gates

Evidence is required. Sign-off is explicit.

A persuasive recommendation is not enough. The workflow has to show evidence, then stop for explicit review.

Recommendation layer

The system can propose a strategy, design, or boundary, but that is not the approval decision.

Deterministic layer

Checks test whether the output is complete, consistent, and ready for review.

Approval layer

A scientist or lead reviewer decides whether the method advances, changes, or stops.

Gate checkpoints

Each gate is a documented checkpoint where the platform shows its work and a scientist makes the call.

Gate 1

CQA assessment and strategy evidence

Gate 2

DoE design and protocol readiness

Gate 3

MODR, challenge outcomes, and transfer readiness

Data governance

Clear records, clear permissions, clear accountability.

Methodra keeps important method decisions tied to records teams can review, permissions they can control, and approvals they can trace.

Organization-scoped records

Teams review only the runs and evidence that belong to them.

Separated decision roles

Work and approval stay distinct so critical decisions remain accountable.

Structured evidence

Context, results, and approvals stay in records that teams can review later.

Operational principle

AI recommends. You decide. Every important method decision should remain tied to reviewable records and clear accountability.

Put your next method under pressure before the lab.

Request access to see how Methodra helps analytical teams ground strategy, challenge weak assumptions, and hold decisions to evidence.