Experiment execution
Plan work, assign owners, reference an approved protocol version, capture observations, and route results through review.
Evidence-ready LabOps for scientific hardware
Connect each experiment to its device build, inspected lots, approved method, ready equipment, samples, and frozen evidence—without enterprise-system complexity.
EXP-2026-00124 · DEVICE BUILD DB-0042
Ready to start—with one risk to resolveOne connected laboratory record
Built for biotechnology, diagnostics, microfluidics, and scientific-hardware teams that need more control than shared files can provide.
Plan work, assign owners, reference an approved protocol version, capture observations, and route results through review.
Register samples with human-readable IDs, storage positions, parent relationships, quantities, status, and experiment context.
Preserve the exact method used by an experiment instead of silently changing history when a protocol is revised.
Surface low stock and expiration risk while preserving every receipt, use, transfer, adjustment, and disposal transaction.
Track availability, location, maintenance, calibration, service history, and the next action required before a run.
Tie tasks, reports, suppliers, components, lots, inspections, attachments, and audit activity to laboratory operations.
Documentation that follows the work
LabOps is designed around the human moments where documentation breaks down: onboarding from a spreadsheet, identifying a physical sample, noticing a deadline, and showing whether a pilot actually improved the work.
Preview and validate existing experiment or inventory CSV files before any record is committed.
Scan a barcode or QR code—or use the always-available manual lookup—to open its context and record movement.
Deliver role-aware digests for overdue tasks, low stock, expiration risk, and calibration dates.
Track adoption and before-to-after pilot metrics while keeping data portable through CSV exports and a documented API.
Pilot principle: configure these workflows around customer interviews, then use the scorecard to validate measurable value and willingness to pay.
See the workflowA measurable pilot, not a vague transformation
A focused pilot should test whether LabOps improves visibility, traceability, and operational follow-through for a real laboratory team.
Design a pilotMeasure the before-and-after time, errors, or handoffs during the pilot.
Measure the before-and-after time, errors, or handoffs during the pilot.
Measure the before-and-after time, errors, or handoffs during the pilot.
Built for scientific hardware evidence
Trace results to the exact device build, component revisions, supplier lots, inspections, firmware profile, samples, and equipment state.
Block execution when an approved method, available build, inspected materials, calibrated equipment, samples, or prerequisite work are missing.
Create immutable, checksum-protected snapshots and review-ready PDFs without presenting them as regulated electronic signatures.
AI assistance with evidence boundaries
LabOps can suggest report sections from the evidence already connected to a mutable report. Nothing is saved until a permitted user reviews, edits, and explicitly accepts it.
Uses the report objective, existing sections, and deterministic criteria summary—not hidden laboratory decisions.
Server credentials stay private; access is role-aware, workspace-controlled, rate-limited, and usage-logged.
Suggestions stay temporary until a human verifies the text and accepts responsibility for the saved section.
See the connected workflow
Follow an experiment from protocol and samples through equipment readiness, inventory, tasks, and review.