Measured, not imagined. not imagined.

Nexar and Nauto are now Empiric Earth. Ten billion miles of real-world driving, turned into intelligence that measures, predicts and prevents risk.

Where real-world databecomes intelligence.

Empiric Earth brings together Nexar and Nauto, combining billions of miles of real-world driving data into actionable intelligence.

[ The record ]

The record remembers every mile

Ten years of driving, indexed by condition, behaviour, asset and outcome. Ask it what a corridor did before you decide what to do about it.

Road state
Signal timing
Exposure
2.4s
earlier road-state signal
01.

Road state

The road as the fleet last saw it

Work zones, closures and signage recorded at the moment a vehicle passed them, not as the notice described them days later.

2.4searlier road-state signal than the published notice
02.

Signal timing

How early the network saw the change

Every event carries the time it was first observed and the time the report arrived. The gap between them is the value of the record.

06:41first observation of the closure, that morning
03.

Exposure

Who was on that road when it changed

Which vehicles, which hours and which weather were on the corridor. Exposure is what turns an event into a risk you can price.

4vehicles on the corridor at the time of the change
Explore world intelligence →

[ THE REAL WORLD CAN'T BE FULLY SIMULATED ]

Experience that models
can learn from

Roads are unpredictable. The events that matter most are often the hardest to model. We capture what actually happened, together with the conditions, human response and outcome, so organizations can learn from real experience instead of assumptions.

  • Observed

    Every mile happened

    Captured on real roads, in real conditions, not generated from synthetic scenarios.

  • Contextual

    Every outcome is attached

    See the conditions, how people responded and what happened next.

  • Intelligence

    Experience becomes intelligence

    The record can be searched, measured, validated and embedded into systems that make decisions.

[ BADAS 2.0 ]

Don't take our word
for it, test the model

Collision anticipation trained on real edge-device footage, with zero synthetic data and published benchmark definitions.

View the modelOpen on Hugging Face
  • Cyclist travelling alongside a vehicle at sunset
    Cyclist near missΔt = 0.8 s
  • Road junction with a red signal at sunset
    Animal on the roadv = 42 km/h
  • Vehicle overturned on a road
    Accident on the trackΔx = x1 − x0
  • Vehicle braking on a wooded road
    Brakingμ = 0.71
  • Pedestrian crossing a road at sunset
    Pedestrian crosst = 1.2 s
  • Pedestrian near a road junction
    Pedestrian near missd = 3.6 m
  • Open road filmed from a vehicle
    Roadλ = 0.83
  • Animal crossing a road
    Red signalθ = 18°

[ MEASURED IN THE REAL WORLD ]

Proven safety impact

Fleet Intelligence customers have experienced measurable benefits to their fleet safety as well as reduced costs

  • 50-80%reduction in collision loss
  • 62%fewer at-fault collisions
  • 80%drivers improve without coaching
Look behind our metrics

Turn real world experience into, better decisions

Talk to usSee the evidence