For regulated lab operations

Know what your lab is doing before you're asked to explain it.

iLabService connects the physical reality of your lab to governed operating records — so teams catch risk early, respond on record, and produce evidence that survives audit.

Catch physical risk early Records assembled automatically Evidence that survives audit
Equipment command center Assets, rooms, utilities, alarms, bookings, and service records in one view.

Find your path

Start with the role closest to your daily pressure.

See how physical context becomes operational evidence.

The missing physical context

Why teams still miss what happened in the lab.

Lab operations happen in rooms, freezers, cabinets, instruments, gas systems, and human workflows. When that physical context is missing, teams manage risk with partial evidence.

Core problem

No trusted data layer connects physical state to scientific and operational outcomes.

The evidence may exist in devices, rooms, people, logs, and screenshots, but it is rarely captured as structured, time-aligned, audit-ready context.

01

Hidden disturbances

Drift, door, gas, power, and equipment changes appear before teams see the pattern.

02

Fragmented evidence

Logs, alarms, screenshots, LIMS records, and chat history are scattered during review.

03

Manual response loops

Follow-up still depends on checks, calls, spreadsheets, supplier updates, and memory.

04

Weak root-cause analysis

Failed runs are hard to connect to physical conditions, operator actions, and timing.

05

Audit burden

Evidence is rebuilt after the fact instead of produced continuously by the operation.

06

AI blind spots

AI sees final records without the physical context behind quality and reproducibility.

Why iLabService matters

An AIoT (AI-powered IoT) physical context layer closes this gap by capturing trusted signals, linking them to lab entities and workflows, and turning daily operations into computable evidence.

The 168-hour problem

A lab is staffed for about 50 hours. The other 118 hours still count.

During those 118 hours, iLabService continues recording every door opening, every temperature drift, and every gas reading.

118h outside normal lab coverage every week
Weekly coverage map Mon-Sun · 24h/day
50hStaffed checks
118hUnattended exposure
24/7Physical context capture

Door activity and freezer recovery trend remain attached to the event.

Temperature threshold breach creates a Guardian evidence record. See the record

Click to view packet

Gas and oxygen readings continue to be logged for EHS review.

Built for regulated evidence

Designed to support the records lab managers are asked to defend.

iLabService should not ask teams to trust another black box. The system is designed around traceable records, controlled workflows, electronic review, and audit-ready evidence that regulated labs can align with their own SOPs and validation requirements.

GxP / GMP

Continuous operating evidence

Temperature checks, excursions, response tasks, equipment events, and corrective actions are captured as structured records instead of paper fragments.

21 CFR Part 11

Electronic record readiness

Support controlled access, audit trails, and electronic review and approval workflows that customers can validate against their regulated electronic-record requirements.

IQ / OQ / PQ

Validation package support

Provide deployment documentation, test evidence, and configuration records that customer QA teams can use in their validation programs.

ALCOA+

Data integrity principles

Design records around attributable actions, legible histories, contemporaneous capture, original source context, and accurate review trails.

ISO/IEC 17025

Testing and calibration context

Connect equipment status, calibration evidence, environmental conditions, operator actions, and sample handling context for reliable lab operations.

Deviation / OOS

Faster investigation packages

Help teams reconstruct what happened around a result, sample, room, instrument, or material without chasing screenshots and memory.

Selected customers and ecosystem partners

Trusted across pharma, biotech, testing, equipment, and lab infrastructure teams.

This mix includes customer relationships in pharma, biotech, testing, and research, alongside ecosystem organizations that understand regulated samples, instruments, facilities, quality systems, and audit pressure.

Pharma and biotechSample integrity, regulated workflows, and research operations.
Testing and certificationEvidence quality, traceability, and operational assurance.
Equipment and infrastructureDevices, facilities, and lab ecosystem integration.
200+

enterprise deployments

10,000+

users touched by lab operations workflows

20,000+

IoT devices deployed globally

OEM proof

iLabService provided freezer monitoring white-label service for Thermo Fisher Scientific's LabServ sub-brand.

Anonymous beverage case

Reference standards inventory control for a global beverage QA center.

A regulated beverage quality lab used iLabService Inventory to manage 3,000+ reference standards with RFID lifecycle tracking, on-site label printing, PDA stocktaking, MSDS matching, weighing scale integration, alerts, and audit trail records.

  • Inventory lifecycle control for 3,000+ reference standards with RFID identity and audit-ready custody records.
  • Automated MSDS matching, on-site label printing, PDA stocktaking, and external weighing-scale integration.
  • Alert rules, biometric accountability, and dashboard analytics for controlled QA storage and handling workflows.
50%less manual inventory work
200%higher stocktaking efficiency
30%lower annual procurement cost
100%audit trail coverage

Start small, expand safely

You do not need to deploy the full software suite on day one.

Start with the highest-risk room or workflow, prove value, then expand the physical context layer across equipment, inventory, samples, people, waste, and multi-site operations.

Phase 1

One critical monitoring scene

Deploy monitoring, local edge alerts, escalation, and audit-ready event records around one freezer, incubator, cryo area, gas room, or inventory workflow.

Phase 2

Equipment and materials

Add utilization, maintenance, smart inventory, reagent expiry, access, and procurement signals as operating data matures.

Phase 3

Regulated context layer

Unify physical context across sites, teams, compliance reviews, and AI-ready analytics without forcing a big-bang rollout.

What we industrialize

From raw physical signals to governed operating context.

Scientific AI cannot rely only on instrument files and software records. Regulated labs also need trustworthy physical context: what the environment did, which equipment was involved, where materials moved, who acted, and whether the response was compliant.

01

Capture physical state

Use sensors, smart cabinets, meters, labels, adapters, and workflow terminals to capture what is happening in the lab.

02

Normalize at the edge

The Edge response layer, branded as Sci-Edge, adapts protocols, applies local rules, keeps continuity during network issues, and coordinates response close to the site.

03

Govern daily operations

Guardian, Equipment, Inventory, Samples, Space, Procurement, Qualification, and Waste convert events into accountable workflows.

04

Produce AI-ready context

Physical events become structured, time-stamped, auditable context tied to assets, locations, people, samples, and actions, giving AI4S systems trusted ground truth.

Common lab scenarios

Replace manual checks with connected AIoT operating records for global labs.

iLabService focuses on the lab work that still depends on people checking devices, reading gauges, updating spreadsheets, messaging suppliers, and reconstructing incidents after the fact.

For PI and research scientists

Reconstruct the physical context behind failed experiments.

When a cell culture run fails, a freezer exposure goes unnoticed, or an incubator drifts over the weekend, scientists need more than final records. They need to see whether CO2, temperature, humidity, door disturbance, equipment state, storage exposure, or operator actions explain the result.

Experiment window

What happened while the assay was running?

Review condition drift, disturbance, equipment state, and response records across the relevant time window.

Methods-ready context

Can the physical conditions be cited?

Use structured environmental and equipment context to support methods documentation and reproducibility review.

Reproducibility

Can hidden operating variables be scored?

Compare runs against storage, equipment, environment, material, and operator histories that are usually missing.

For lab managers, QA, and EHS

Start with the scene that creates the most operational risk.

Bring a freezer room, cryo area, gas utility, equipment bay, or inventory workflow. We will map the physical signals, response workflow, and evidence package needed for a first deployment.