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Solutions for regulated labs
iLabService starts with the lab operations that still depend on people checking devices, reading gauges, updating spreadsheets, and reconstructing incidents after the fact. Each solution connects hardware capture, edge-local intelligence, and software workflows so high-risk lab scenes become governed operating records.
Integrated lab view
Freezers, cryogenic storage, process areas, equipment, inventory, space, and gas utilities all create physical context that should become governed operating records.
Seven operating scenes
Use the integrated lab view and the map below to jump into the freezer, cryo, incubator, equipment, inventory, space, or gas workflow that looks most like your daily operation.
Move beyond manual freezer checks by connecting temperature, compressor status, door state, power, access, sample records, escalation, and maintenance context so teams can see compressor risk before internal temperature exceeds limits.
Reduce manual gauge checks and delayed refill response through LN2 level visibility, oxygen monitoring, pressure context, refill planning, and auditable safety records.
See CO2, temperature, humidity, door openings, room state, and power events across the exact experiment window instead of relying on scattered condition notes.
Reduce manual booking, maintenance follow-up, and usage estimation by connecting reservations, access, performance, energy, consumables, and budgeting evidence.
Move from spreadsheets and periodic stocktaking to identity-linked transactions, smart cabinets, labels, expiration control, and consumption analytics.
Make room usage, workstation demand, occupancy, indoor air quality, capacity planning, and safety reporting visible without manual headcounts.
Replace delayed manual cylinder pressure rounds with camera-based gauge reading, low-pressure threshold alerts, oxygen risk, gas-specific detection, leak alarms, supplier refill workflows, and EHS records.
From manual work to AIoT context
Why LIMS and ELN are not enough
iLabService complements LIMS, ELN, booking, and paper records. The gap is not in what those systems record. It is in what they cannot see between human entries.
Protocol notes, reagents, sample IDs, batch information, and analyst entries.
Check-in, storage location, chain-of-custody, transfer, and disposal records.
Reservation time, user, method, planned usage, and service requests.
Temperature files, paper checks, screenshots, or copied values prepared after review starts.
Who opened the freezer, cabinet, incubator, or room, and for how long.
3 a.m. voltage changes, gas alarms, camera-read cylinder gauges, O2 readings, pressure shifts, or local outages.
Real equipment power patterns, run time, idle time, and abnormal utilization.
Who received the alarm, who acknowledged it, what was corrected, and what QA can review.
Physical signals become governed operating context that can be linked back to scientific records, samples, spaces, assets, and audit evidence.
Manual mode vs AIoT mode
Lab managers do not buy a platform because it sounds modern. They buy it when it removes the daily uncertainty around samples, safety, equipment, inventory, and audit evidence.
You leave the lab after the last check.
Compressor status begins showing abnormal recovery behavior.
A -80°C freezer crosses the configured temperature threshold.
The first person notices something is wrong.
You start rebuilding the event from logs, screenshots, chats, and memory.
QA asks for the last 72 hours of operating evidence.
QA still has to verify timing, ownership, and whether the records tell the same story.
Physical signal, response, corrective action, and QA review status stay connected.
When a cryo system moves from refill issue to safety concern, the question is not only whether samples are safe. It is whether EHS and lab teams can reconstruct what happened.
LN2 level drops below refill threshold.
Oxygen condition and access history are checked against the same room event.
Refill task, EHS response, and supplier follow-up are routed.
When QA asks for operating evidence, the hard part is usually not a single record. It is stitching together the physical event, the people, the response, and the review trail.
QA asks for evidence around a deviation window.
Teams search exports, screenshots, paper logs, and message threads.
iLabService exports the event packet with review-ready context.
60-second walkthrough
Switch between scenes and step through the operating record a lab manager, QA reviewer, EHS owner, or scientist needs when a physical event happens.
Sat 01:52
Sat 01:52-02:04
Sat 02:04-02:31
Guardian creates an early warning before internal temperature exceeds the limit.
Mobile alert sent with compressor, trend, and sample context.
Escalation rule starts after the configured response window.
Guardian records who received and acknowledged the event.
Work order and response note are attached to the same incident.
Sat 03:05
Monday 09:12
The incident is exportable as a review-ready package showing the early compressor risk, physical signal history, ownership, response, and SOP-linked evidence.
Deployment advisor
Choose the risk, current monitoring method, and network reality. The advisor turns the product catalog into a practical first deployment recommendation.
Low-commitment next step
A scenario demo can focus on freezer rooms, cryo and oxygen safety, equipment utilization, gas supply, inventory, QA review, or EHS reporting.
Manual vs AIoT
Scene image
Next step
Bring one freezer room, gas room, incubator bay, inventory workflow, audit request, or EHS concern. We can map what the deployment, evidence packet, and first operating workflow would look like.