Yaw residual — 10 fleet days
4,812 vehicles under active drift monitoring on NADIR
NADIR is the execution layer between raw vehicle telemetry and safety-critical calibration outcomes. Detect drift before incidents, orchestrate guided interventions, prove every action.
Pilot programs across OEM, fleet, and repair networks
Shadow-mode endpoints your fleet, MSO, or OEM integration hits. Same payloads power HORIZON, the console, and Calibration Lab exports.
Full API reference → · SDK quickstart → · Investor snapshot JSON →
Fleet heatmap, fusion disagreement, evidence assembly, and dispatch queue — each backed by NADIR API contracts in shadow mode.
Week-1 pilot replay · 12-vehicle Loom fleet · Exhibit A metrics
Regional tier density from /v1/fleet/health-summary
Cross-modal residuals when camera, radar, and LiDAR diverge
Detect → changepoint → validation → signed export timeline
Telemetry ingest through tier routing to shop dispatch
Shadow eval on 100+ vehicles — console KPIs, weekly digest, no ECU writes.
Design partner package →Post-glass and collision evidence at structural release — insurer-ready bundles.
Safelite pilot →$750 micro pilot → $750/mo subscription. Build your LOI before legal review.
LOI preview builder →The trapped knowledge problem
Fragmented workflows, reactive drift handling, and audit gaps cost fleets, OEMs, and repair networks time, safety, and revenue.
Most teams detect drift after performance degradation has already impacted runtime safety behavior in the field.
Technician quality varies heavily by location, tooling, and process maturity — with no enforcement layer.
Insurers, leadership, and OEM partners need traceable proof — not anecdotal updates from disconnected systems.
Real-time multi-object tracking, monocular depth, lane geometry, and ego-motion — the same perception engine that feeds NADIR's drift and calibration intelligence.
Signal-to-decision without manual handoffs. Every layer purpose-built for safety-critical reliability.
Residual envelopes, fleet-normalized tiers, and ADAS danger reduction — the same primitives in the NADIR SDK and demos hub.
Yaw residual — 10 fleet days
3D sensor topology
Camera + corner radar + rear fusion — residuals projected in SE(3) with motion gating.
Danger index by ADAS profile
Red = without NADIR · Orange = with NADIR shadow scoring.
Before — heuristic threshold
if |Δyaw| > 0.5°: alert() # no fleet prior, no motion gate # 41% false positive on highway ACC
After — NADIR residual pipeline
tier = changepoint(residual, fleet_prior) if tier >= HIGH and motion_ok: dispatch() # 9% false positive · 4.8m MTTD
Three interlocking workflows that close the loop from raw signal to insurer-ready evidence.
Four operational surfaces that span detection, evidence, and executive visibility.
| VEHICLE ID | ISSUE DETECTED | SEVERITY | CONFIDENCE | ACTION |
|---|---|---|---|---|
| FLEET-204 | Camera yaw drift (+0.62°) | CRITICAL | 0.94 | |
| FLEET-331 | Radar amplitude collapse (−18dB) | HIGH | 0.87 | |
| FLEET-087 | Fusion confidence divergence | HIGH | 0.81 | |
| FLEET-512 | IMU temperature offset (site: BAY-7) | MEDIUM | 0.73 |
Camera pitch residual 0.62° exceeds ISO-21448 safety envelope. Risk class set to CRITICAL.
Automated routing to BAY-3 technician group. SOP document v2.4 attached to work order.
All pre-check gates passed. Parameter adjustment commenced within guide rails.
Post-calibration quality score 0.96. Evidence photo bundle auto-attached.
Claims bundle formatted for insurer review. Trace completeness 100%. Incident closed.
Six investment-grade thesis sections for fleet operators, strategic investors, and OEM partners.
Enterprise security controls, audit-native workflows, and ISO-aligned data governance built into the platform core.
Fixed monthly tiers with vehicle-count expansion. No re-architecture required as deployments grow.
Set up an account, define your pilot scope, and start collecting measurable calibration intelligence outcomes within weeks.