AI in pathology starts with better laboratory data.
LIMS BOX helps labs capture field, asset, sample, and workflow data in structured, human-reviewed form so future AI systems have cleaner inputs, stronger audit trails, and safer operational context.
LIMS BOX is not a diagnostic AI system. It is the AI-ready lab data capture layer. Clinical interpretation always stays with qualified personnel.
The data layer, not the model layer
Most AI conversations focus on models. LIMS BOX focuses on the data layer: scan events, sample movement, reagent context, asset state, field collection notes, and human-approved documentation. Better inputs create better audit trails, better analytics, and safer AI workflows.
Whether your environment calls it LIS or LIMS, the same pressures apply: workforce shortages, certification scrutiny, data stewardship expectations, and the steady arrival of operational AI. The labs that get value out of those models will be the labs whose upstream data was already structured and trustworthy when the models showed up.
Explore the AI-ready lab data layer
Five lenses on the same idea: how lab data should be captured, reviewed, and structured so AI and analytics platforms can do their job downstream.
Why AI in the lab needs clean, structured, complete data — and what 'AI-ready' actually means at the bench.
Read more →AI drafts. Humans approve. Audit trails record. The pattern that makes lab AI defensible.
Read more →Turnaround time, sample movement, staffing visibility, workload trends — operational analytics for clinical and anatomic pathology.
Read more →Field collection, chain-of-custody, mobile testing, assets, reagents, instruments — captured once, structured for downstream AI.
Read more →Lab analytics platforms like ASCP PDI need clean upstream data. LIMS BOX is complementary to benchmarking — not competitive with it.
Read more →What LIMS BOX is — and isn't
- Is: a lab data capture and documentation layer for field, asset, sample, reagent, and workflow events.
- Is: LIS/LIMS-agnostic, designed to feed cleaner upstream data into the analytics and AI platforms a lab already uses.
- Is: human-in-the-loop by default — AI drafts, human approves, audit trail records.
- Is not: a diagnostic AI system or a clinical interpretation engine.
- Is not: a regulated medical device under FDA authority.
- Is not: a partner of, or affiliated with, any named analytics or benchmarking platform unless explicitly stated. Privacy and security requirements are scoped per deployment.
Explore AI-ready lab workflows
Pilot deployments start around $5,000. We're currently selecting 5 pilot labs.