From protocol PDF to validated edit checks in minutes.

Upload your protocol and eCRF schema. Klin AI generates executable edit checks across eight rule clusters, runs them against your EDC data, and surfaces each finding with the offending row, AI-suggested next steps, and a routing recommendation — six weeks of edit-check authoring becomes one workflow.

Reviewer-in-the-loop

Every rule cites its protocol section

Findings come with source evidence + reviewer guidance

Generated from your protocol

RANGE-alt-001ALT > 3× ULN requires dose holdHigh

CHRON-icf-002ICF date must precede first doseCritical

ELIG-egfr-003eGFR ≥ 60 at screeningHigh

WINDOW-c1d15Visit C1D15 within ±2 daysMedium

SAFETY-conmed-04Prohibited CYP3A4 inhibitors flaggedHigh

+ 167 more rules across 8 clustersReady for reviewer approval

6 wks → 5 min

Edit-check authoring

Rule clusters covered

100%

Cite protocol section

Human-in-loop

Reviewer approval gate

The problem

Edit checks are the slow, expensive bottleneck before a trial can collect a single data point.

6+ weeks to author

Each protocol amendment forces data managers to re-read hundreds of pages and translate every "must / may / within X days" into edit checks by hand.

Gaps cost millions

Missed rules surface late as queries during database lock — burning study budget and delaying readouts. A single rejected dataset can stall a regulatory filing for months.

Tooling is fragmented

Protocol lives in Word, rules in Excel, queries in the EDC, sign-offs in email. Nothing traces back to "Section 5.2 of Protocol v3."

How it works

Four steps from a protocol PDF to an active query queue.

Upload protocol

Drag in the PDF or paste text. Klin AI extracts schedule of assessments, eligibility, safety thresholds, dosing windows.

Generate rules

Klin AI reads protocol + your eCRF schema and writes edit checks across 8 clusters — every rule cites the exact protocol section.

Reviewer approves

Data manager and clinical reviewer triage drafts in a queue — approve, reject, escalate. Full audit trail.

Run + route queries

Approved rules execute on incoming EDC data. Each finding ships with the offending row, suggested action, and recommended reviewer role.

“Every Klin AI rule cites its protocol section. Reviewers can approve in seconds because the source-of-truth is one click away.”

Built with clinical data managers, not for them.

Get started

See it on your protocol.

We’ll spin up a private workspace, load your protocol, and walk you through the full rule generation + review flow. Usually 20 minutes.