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Solutions for regulated labs

Start with monitoring. Build toward audit-ready LabOps infrastructure

Customers may first see sensors, alarms, temperature, humidity, or gas readings. The real value comes when those signals are connected to equipment state, sample risk, people response, SOP requirements, and audit evidence so daily lab operations become continuously managed, improvable, and easier to defend.

Choose a lab scene Request a scenario demo

Choose the path visitors recognize first

Start with the pressure your team already feels

Pick the operating risk that sounds familiar, then jump into the matching scene before reading the full solution map.

Storage risk Freezer, cryo, sample exposure, and after-hours response. Equipment utilization Bookings, power patterns, service context, and uptime evidence. Safety & EHS Gas supply, oxygen risk, leak response, and incident context. Compliance evidence Audit trails, review status, corrective action, and ALCOA+ records.

Integrated lab view

Seven physical lab scenes. One way to choose the first conversation

Treat the seven scenes as a navigation map: pick the operating pressure your team recognizes, then open the scenario, brochure, and demo route that match it.

Open scenario library
Illustrative integrated regulated lab scene showing freezer, cryogenic storage, equipment, inventory, space, and gas utility context connected by AIoT overlays
Illustrative view of the seven common physical lab scenes iLabService connects into traceable operating records.

Seven operating scenes

Start with the scene that creates the most operational risk

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.

Laboratory floor plan scene navigation Clickable lab areas for freezer storage, cryogenic storage, incubators, equipment benches, inventory rooms, space management, and gas utilities. Freezer room Freezer room · temperature, compressor status, door, power, sample risk Cryo storage Cryo storage · level, pressure, oxygen safety Incubator bay Incubator bay · CO2, temperature, humidity, door events Gas room Gas room · camera gauge reading, oxygen, leak, pressure, refill response Equipment bench Equipment bench · booking, utilization, service context Inventory room Inventory room · chemicals, reagents, smart cabinets Open lab work zone Work zone · occupancy, IAQ, capacity, safety reporting iLabService lab operations platform
Freezer Cryo Incubators Equipment Inventory Space Gas
Sample protection

Ultra-low freezer and biological storage governance

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.

Manual today
Rounds, paper logs, screenshots, and late temperature exports.
AIoT with iLabService
Temperature, door, compressor, power, access, and sample context stay linked.
Evidence produced
Review-ready excursion, response, corrective-action, and QA packet.
Cryogenic safety

Cryogenic storage and oxygen safety

Reduce manual gauge checks and delayed refill response through LN2 level visibility, oxygen monitoring, pressure context, refill planning, and auditable safety records.

Manual today
Gauge checks, refill calls, and oxygen monitor records remain separate.
AIoT with iLabService
LN2 level, pressure, oxygen, access, refill, and supplier context align.
Evidence produced
Traceable safety, refill, access, and EHS review record.
Experiment integrity

Incubator and chamber conditions during experiments

See CO2, temperature, humidity, door openings, room state, and power events across the exact experiment window instead of relying on scattered condition notes.

Manual today
Condition notes, instrument exports, and failed-run context are reconstructed later.
AIoT with iLabService
CO2, temperature, humidity, door, room, and power events map to the run window.
Evidence produced
Experiment-window record for deviation, reproducibility, and methods review.
Equipment intelligence

Lifecycle and utilization management

Reduce manual booking, maintenance follow-up, and usage estimation by connecting reservations, access, performance, energy, consumables, and budgeting evidence.

Manual today
Bookings, service notes, usage estimates, and power data live in separate places.
AIoT with iLabService
Reservation, access, runtime, service, energy, and consumable signals share one asset record.
Evidence produced
Utilization, maintenance, downtime, lifecycle, and budget-support evidence.
Material governance

Chemical, reagent, and consumable inventory

Move from spreadsheets and periodic stocktaking to identity-linked transactions, smart cabinets, labels, expiration control, and consumption analytics.

Manual today
Spreadsheets, periodic counts, ad-hoc pickup notes, and expiry checks drift apart.
AIoT with iLabService
Access, labels, cabinets, pickup, expiry, hazardous material, and demand signals connect.
Evidence produced
Material traceability, expiry, consumption, stocktaking, and audit records.
Space intelligence

Occupancy, workstation, and environmental health

Make room usage, workstation demand, occupancy, indoor air quality, capacity planning, and safety reporting visible without manual headcounts.

Manual today
Headcounts, room complaints, IAQ notes, and workstation demand are estimated.
AIoT with iLabService
Occupancy, people count, IAQ, workstation use, and safety observations become one room context.
Evidence produced
Capacity, environmental health, utilization, and safety reporting evidence.
Utility continuity

Gas safety, supply, and refill coordination

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.

Manual today
Cylinder rounds, pressure photos, refill calls, leak notes, and EHS records fragment.
AIoT with iLabService
Gauge reading, oxygen, leak, pressure threshold, supplier refill, and response workflow connect.
Evidence produced
Gas safety, refill continuity, incident response, and EHS review record.
Print the EHS gas safety checklist

From monitoring signal to LabOps system

Turn routine lab events into monitoring, workflow, evidence, and optimization

iLabService is built for the moment when a signal stops being just a data point and becomes part of daily operations: who owns the risk, what should happen next, what evidence is created, and how the lab improves over time.

01 Sense

Physical lab scene

Freezers, cryo storage, gas, rooms, equipment, cabinets, people actions, and material movement.

  • Sensors, adapters, smart cabinets, counters, gateways
  • Temperature, door, gas, power, occupancy, access signals
02 Link

Linked operating record

Signals are tied to assets, spaces, samples, inventory, users, thresholds, SOPs, and ownership.

  • Map each event to the affected lab entity
  • Preserve time, location, owner, policy, and threshold context
03 Govern

Response workflow

Alerts, escalation, refill, maintenance, discrepancy checks, review tasks, and evidence capture.

  • Route action to the right person or supplier
  • Capture acknowledgement, correction, review, and approval
04 Learn

Reusable evidence

Reusable records for audits, risk patterns, utilization, forecasting, benchmarking, and management review.

  • Turn daily operations into comparable site records
  • Support audit evidence, trend analysis, and operating decisions

Why LIMS and ELN are not enough

Scientific records show what was entered. They often lack the physical signals around the event

iLabService complements LIMS, ELN, booking, and paper records. The gap is not in what those systems record; it is in the physical activity they cannot see between human entries.

Existing systems can record

LIMS, ELN, booking systems, and paper logs

  • Experiment inputs

    Protocol notes, reagents, sample IDs, batch information, and analyst entries.

  • Sample registration

    Check-in, storage location, chain-of-custody, transfer, and disposal records.

  • Equipment booking

    Reservation time, user, method, planned usage, and service requests.

  • Manual exports

    Temperature files, paper checks, screenshots, or copied values prepared after review starts.

Lab operating records often missing

The physical reality that changes outcomes

  • Door and access events during the run

    Who opened the freezer, cabinet, incubator, or room, and for how long.

  • Power and utility disturbances

    3 a.m. voltage changes, gas alarms, camera-read cylinder gauges, O2 readings, pressure shifts, or local outages.

  • Actual usage versus booked usage

    Real equipment power patterns, run time, idle time, and abnormal utilization.

  • Response and corrective action context

    Who received the alarm, who acknowledged it, what was corrected, and what QA can review.

iLabService fills this right-hand column.

Physical signals become governed operating records that can be linked back to scientific records, samples, spaces, assets, and audit evidence.

Manual mode vs AIoT mode

The difference is what you know, when you know it, and what you can prove

Lab managers do not buy a platform because it sounds modern. They buy it when it removes the daily uncertainty around samples, safety, equipment utilization, inventory spend, procurement decisions, and audit evidence.

Friday night test

What can you prove by Monday morning?

  1. You leave the lab after the last check.

  2. Compressor status begins showing abnormal recovery behavior.

  3. A -80℃ freezer crosses the configured temperature threshold.

  4. The first person notices something is wrong.

  5. You start rebuilding the event from logs, screenshots, chats, and memory.

  6. QA asks for the last 72 hours of operating evidence.

Manual mode: what you can usually find
  • Partial temperature export or screenshots
  • Little or no compressor-status history before the temperature excursion
  • Paper log entries with time gaps
  • Chat messages about who saw the alarm
  • Unclear acknowledgement and response timing
Result 3-6h reconstruction work

QA still has to verify timing, ownership, and whether the records tell the same story.

iLabService mode: what is already assembled
  • Compressor-status warning before the temperature excursion
  • Temperature curve and threshold breach time
  • Door, access, power, and location context
  • Alert routing, acknowledgement, and escalation trail
  • Corrective action and review task history
Result One review-ready packet

Physical signal, response, corrective action, and QA review status stay connected.

Cryo and oxygen safety

Cryogenic storage risk

When a cryo system moves from refill issue to safety concern, the question is not only whether samples are safe. It is whether the operating record connects the event, response, and review path.

  1. LN2 level drops below refill threshold.

  2. Oxygen condition and access history are checked against the same room event.

  3. Refill task, EHS response, and supplier follow-up are routed.

Manual mode
  • Gauge checks, refill calls, and oxygen monitor records stay separate.
  • Sample risk, access history, and supplier response are reconstructed later.
AIoT mode
  • LN2 level, pressure, oxygen safety, access, and refill context are linked.
  • EHS review sees one traceable record for the room, event, and response.
Audit record request

Evidence and review burden

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.

  1. QA asks for evidence around a deviation window.

  2. Teams search exports, screenshots, paper logs, and message threads.

  3. iLabService exports the event packet with review-ready context.

Manual mode
  • Teams assemble screenshots, exports, paper logs, and message threads.
  • QA still has to verify timing, ownership, response, and approval gaps.
AIoT mode
  • Signal timeline, alerts, tasks, corrective action, and review trail are connected.
  • Records are organized around SOP, deviation, OOS, or audit evidence requests.

60-second walkthrough

See how common lab events become evidence packets

Switch between scenes and step through the operating record a lab manager, QA reviewer, EHS owner, PI, or scientist needs when a physical event happens.

Step 1 of 5 Guardian freezer room event

Sat 01:52

Compressor behavior indicates risk before the freezer crosses its threshold

Current temperature -79℃ Still within range · Setpoint: -80℃
Compressor status Risk rising Abnormal recovery and power pattern detected
-80℃ compressor risk

Live demo · high-intent review

Open a live LabOps dashboard after the walkthrough

Use the demo view to compare the 60-second incident narrative with a live dashboard environment for connected laboratory operations.

Deployment advisor

Get a recommended starting path in three clicks

Choose the risk, current monitoring method, and network reality. The advisor turns the product catalog into a practical first deployment recommendation.

01 Biggest operating risk
02 Current monitoring method
03 Network restrictions

Scenario demo

Choose the pressure point, then map the first deployment

Use the advisor result or bring one freezer room, gas room, incubator bay, equipment utilization, inventory workflow, audit request, or EHS concern. We can map the connected hardware, workflow, evidence packet, and first operating review.

Request a scenario demo View AIoT hardware scenarios