Territory · Substrate signal

05Life sciences cold chain.

Mach II / Pharmafreight + Lubbers + Unitrans + dedicated Life Sciences division since 2011. GDP-credentialed at 35 branches. Sensor monitoring deployed. Demand sensing + lane risk + 3D load building on top.

The cold-chain stack

GDP foundation · execution layer above.

Pharma + medical-device shippers · GDP / MHRA / WDA / IATA CEIV credentialed

↓

CADDIE · cold-chain demand sensing + multimodal tracking + dispatch planning

↓

GDP-credentialed branches (35+)

Validaide lane-risk SOPs

Sensor-based monitoring (vendor TBD)

Compass Cargo control tower

Caddie sits above the GDP foundation, adds demand-sensing + dispatch optimization that AIT does not currently ship.

What we read

The life-sciences vertical reality.

GDP foundation

Mach II / Pharmafreight (UK + NL pharma · Dec 2023) + Lubbers Logistics + Unitrans + 35 GDP-credentialed branches.

AIT Life Sciences

Sensor + Validaide

24 / 7 on-freight sensor monitoring (temperature, humidity, tampering, speed alerts) + Validaide for lane risk + digital SOPs. Vendors named.

myAIT page

Demand-sensing gap

Validaide handles lane risk SOPs but does not do demand sensing or load building. The volume side of cold-chain optimization is unowned.

Compass Cargo page

What Enmovil delivers here

Three surfaces · one vertical.

Cold-chain demand sensing

Multi-source demand-signal ingestion + reconciliation for pharma + medical-device shippers · seasonality + clinical-trial windows + new-launch ramps.

Multimodal tracking + lane risk

Sensor-event ingestion + lane risk overlay + ETA reconciliation across air + ocean + road, with ~99% delivery accuracy.

3D load building (cold)

Optimizes load mix against thermal-zone constraints + sensor-monitored cubes + customer-side dock-window timing.

Proof anchor

Where we have shipped this shape.

~99%

Estimated delivery accuracy across multimodal deployments

88-91%

Forecast accuracy across deployed customer base

8-15%

Logistics cost savings · across deployments

For the conversation

Questions, fence, timeline.

Is sensor monitoring driving execution decisions today, or is it primarily an audit-trail capability?
How is cold-chain demand forecasting handled today for pharma shippers — vendor-driven, AIT-owned, or shared?
Where would a first-lane pilot land — one pharma customer, one trade lane, or one therapeutic area?

We would touch

Cold-chain demand sensing + reconciliation against forecast.
Multimodal tracking + sensor-event ingestion + lane risk overlay.
3D load building optimized for thermal-zone + sensor cube constraints.
Customer-facing exception narrative for pharma shippers.

We would not

GDP / MHRA / WDA / CEIV compliance tooling (AIT is the credentialed authority).
Validaide lane-risk SOPs.
Sensor hardware / monitoring vendors.
Customer pharma demand-planning systems.

8-10 weeks · one pharma customer · one trade lane

First lane: one pharma customer + one trade lane (e.g., Europe-to-US) instrumented for demand sensing + multimodal tracking + load building, with 90 days of historical sensor + delivery data for backtest.