Plans that survive contact with the road.
Route optimization, ETA prediction, and reinforcement-learning dispatch for fleets of every shape.
- Routes optimized
- 1.4MRoutes optimized
- Vehicles orchestrated daily
- 8,200Vehicles orchestrated daily
- ETA accuracy improvement
- +22 ptsETA accuracy improvement
The optimal route at 6am is wrong by 9am.
Static route planning assumes a world that does not move. Traffic, weather, dock congestion, and same-day insertions invalidate the morning plan within hours. The value is not in a better initial plan — it is in continuous replanning that dispatchers trust enough to leave running.
- Routes optimized
- 1.4M
- Vehicles orchestrated daily
- 8,200
What makes logistics different.
Every sector has constraints that decide whether a system reaches production. These are the ones we design around from day one.
Dispatchers override the optimizer
How we handle it: Every recommendation carries its reasoning and the constraints it honored, so dispatchers can audit a suggestion instead of guessing at it.
ETAs erode customer trust
How we handle it: Probabilistic ETAs with calibrated intervals, so a promised window reflects real uncertainty rather than optimistic arithmetic.
Constraints are numerous and hard
How we handle it: Hours-of-service, vehicle capability, hazmat, and SLA tiers are modeled as hard constraints the optimizer cannot violate.
Connectivity is intermittent in the field
How we handle it: Driver applications work offline-first and reconcile on reconnect, so a dead zone never loses a proof of delivery.
Where we typically start.
Ranked by the ratio of value to time-to-first-deployment in this sector.
Dynamic route optimization
Continuous replanning against live traffic, weather, and dock availability, with hard constraints respected at every step.
ETA prediction
Calibrated arrival windows with confidence intervals, updated en route and pushed to customer-facing surfaces.
Dispatch & load balancing
Assignment that balances cost, service level, and driver equity, with explainable reasoning for every allocation.
Driver copilots
Offline-capable mobile applications for navigation, documentation capture, and exception reporting from the cab.
Freight document AI
Extraction from bills of lading, customs forms, and proofs of delivery with confidence-routed human review.
Network design
Scenario modeling for facility placement and lane strategy, with sensitivity analysis on demand and fuel assumptions.
Frameworks we work within.
We produce the control documentation and audit evidence as a delivery artifact, not as a follow-up project.
- SOC 2 Type II
- ISO 27001
- GDPR
- C-TPAT-aligned
Proof from a comparable deployment.
Predicting equipment failure 72 hours out
Vertex Manufacturing
False-positive rate dropped to 9%, downtime reduced 34%, and OEE improved by 6 percentage points.
Read the full case study- False-positive rate
- 9%False-positive rate
- Downtime reduction
- 34%Downtime reduction
- OEE lift
- +6 ptsOEE lift
Capabilities we apply most in logistics.
Adjacent sectors we serve.
Thirty minutes on what is working in your sector.
A senior engineer and a strategist who have shipped in this domain. Bring your constraints — we will tell you honestly what is realistic.