Hidden disturbances
Drift, door, gas, power, and equipment changes appear before teams see the pattern.
Chat
For regulated lab operations
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.
Find your path
The missing physical context
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.
The evidence may exist in devices, rooms, people, logs, and screenshots, but it is rarely captured as structured, time-aligned, audit-ready context.
Drift, door, gas, power, and equipment changes appear before teams see the pattern.
Logs, alarms, screenshots, LIMS records, and chat history are scattered during review.
Follow-up still depends on checks, calls, spreadsheets, supplier updates, and memory.
Failed runs are hard to connect to physical conditions, operator actions, and timing.
Evidence is rebuilt after the fact instead of produced continuously by the operation.
AI sees final records without the physical context behind quality and reproducibility.
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
During those 118 hours, iLabService continues recording every door opening, every temperature drift, and every gas reading.
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 packetGas and oxygen readings continue to be logged for EHS review.
Built for regulated evidence
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.
Temperature checks, excursions, response tasks, equipment events, and corrective actions are captured as structured records instead of paper fragments.
Support controlled access, audit trails, and electronic review and approval workflows that customers can validate against their regulated electronic-record requirements.
Provide deployment documentation, test evidence, and configuration records that customer QA teams can use in their validation programs.
Design records around attributable actions, legible histories, contemporaneous capture, original source context, and accurate review trails.
Connect equipment status, calibration evidence, environmental conditions, operator actions, and sample handling context for reliable lab operations.
Help teams reconstruct what happened around a result, sample, room, instrument, or material without chasing screenshots and memory.
Selected customers and ecosystem partners
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.
enterprise deployments
users touched by lab operations workflows
IoT devices deployed globally
iLabService provided freezer monitoring white-label service for Thermo Fisher Scientific's LabServ sub-brand.
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.
A multinational pharma R&D organization connected Guardian monitoring, equipment lifecycle management, chemical inventory, dashboards, and an interactive live lab view to support GLP, global EHS, scientist efficiency, and greener lab operations.
A life science campus used iLabService to run shared laboratories with lean staffing, giving tenant startups self-service access to instruments, cold storage, chemical storage, training, work orders, and usage records while keeping hazardous material governance auditable.
A contract research organization replaced fragmented equipment systems with one LabOps operating layer for asset lifecycle management, work orders, financial allocation, dashboards, automated inspections, and risk alerts across research supply-chain and logistics workflows.
A bio-CDMO and biosafety testing center used iLabService to deploy an EMS layer for clean-room and equipment monitoring, supporting GxP, CNAS, IND/BLA submission readiness, electronic records, real-time alerting, and full CSV delivery for regulated laboratory operations.
A chemical R&D organization used iLabService to replace manual research workflows and data silos with connected experiment context, instrument visibility, raw-material inventory, automated reporting, and integrated records across LIMS, ELN, ERP, and lab operating systems.
A third-party testing organization used iLabService to connect shared instrument booking, utilization analytics, chemical and consumable lifecycle control, safety monitoring, and operating dashboards across busy laboratory teams.
A public health laboratory center used iLabService to connect compliant data capture, multi-parameter environmental monitoring, chemical inventory governance, large-screen operations visibility, and BIM/AR-enabled spatial context across a newly modernized facility.
A drug testing organization used iLabService to modernize laboratory operations across multiple sites, replacing manual checks with compliant monitoring data, mobile access, large-screen visibility, validation support, and a private deployment ready for OA integration.




























Start small, expand safely
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.
Deploy monitoring, local edge alerts, escalation, and audit-ready event records around one freezer, incubator, cryo area, gas room, or inventory workflow.
Add utilization, maintenance, smart inventory, reagent expiry, access, and procurement signals as operating data matures.
Unify physical context across sites, teams, compliance reviews, and AI-ready analytics without forcing a big-bang rollout.
What we industrialize
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.
Use sensors, smart cabinets, meters, labels, adapters, and workflow terminals to capture what is happening in the lab.
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.
Guardian, Equipment, Inventory, Samples, Space, Procurement, Qualification, and Waste convert events into accountable workflows.
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
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
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.
Review condition drift, disturbance, equipment state, and response records across the relevant time window.
Use structured environmental and equipment context to support methods documentation and reproducibility review.
Compare runs against storage, equipment, environment, material, and operator histories that are usually missing.
For lab managers, QA, and EHS
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.