ADAS CALIBRATION INTELLIGENCE

Operational control for sensor reliability at fleet scale.

NADIR is the execution layer between raw vehicle telemetry and safety-critical calibration outcomes. Detect drift before incidents, orchestrate guided interventions, and prove every action with traceable evidence.

Watch Technical Walkthrough
Fleet Operators OEM Pilot Teams Repair Networks Claims & Compliance
ISO-ready evidence workflows Multi-site calibration orchestration Sensor drift incident triage Claims-grade trace exports OEM + Fleet + Repair interoperability ISO-ready evidence workflows

Problem Surface

ADAS calibration today is fragmented, reactive, and difficult to audit.

Operational Blind Spots

Most teams detect drift late, after performance degradation has already impacted runtime safety behavior.

  • No continuous confidence envelope across sensors.
  • No clear prioritization of intervention urgency.
  • No consistent cross-site reliability benchmark.

Inconsistent Calibration Execution

Technician workflows vary heavily by location, tooling, and process quality maturity.

  • Manual SOP interpretation across teams.
  • Inconsistent pass/fail enforcement.
  • Poor post-intervention validation quality.

Evidence Gaps

Leadership, insurers, and partners need traceable proof, not anecdotal updates from disconnected systems.

  • Missing action chain from detection to closure.
  • Difficult incident forensics and root cause analysis.
  • No single exportable record of intervention quality.

System Architecture

Technical stack engineered for real-world calibration operations.

Ingress

Vehicle Signal Fabric

Camera · Radar · IMU · CAN · Shop telemetry

Normalization

Temporal Alignment Bus

Clock sync, quality gates, route-context enrichment

Residual extraction Confidence propagation Priority routing

Inference Core

Drift + Risk Engine

Residual scoring, anomaly persistence, severity tiers

Orchestration

Calibration Control Plane

Dispatch policies, SOP gates, validation checkpoints

Signed actions Evidence lineage Program metrics

Assurance Layer

Evidence Graph + Audit Exports

Claims bundles, compliance records, partner APIs

Operations

Fleet Reliability Surfaces

Ops console, executive KPIs, site benchmark loops

Signal-to-Decision in one plane

Streaming state transitions from ingestion to risk scoring without manual handoffs, so incident priority is calculated before field degradation escalates.

Execution continuity

The control plane binds detection output directly into calibration SOP enforcement and post-check validation so closure quality is measurable at site level.

Audit-native outputs

Each intervention emits a signed evidence chain for insurers, compliance reviewers, and program governance dashboards.

Operational Workflows

Detailed execution surfaces for technical teams and business stakeholders.

Workflow 01 — Detection to Triage

  1. Live signal ingestion from vehicle and shop infrastructure.
  2. Adaptive drift anomaly scoring with confidence envelope.
  3. Risk tier assignment by failure mode and operational context.
  4. Automated route to responsible site and technician group.

Workflow 02 — Calibration Execution

  1. Required pre-checks and tooling verification gates.
  2. Parameter adjustment with guide rails and thresholds.
  3. Post-calibration validation and quality confidence checks.
  4. Pass/fail decision with mandatory evidence attachment.

Workflow 03 — Reporting and Governance

  1. Timeline generation from trigger to closure.
  2. Role-based dashboards for operations, QA, and exec teams.
  3. Partner exports for insurers, OEM leads, and customers.
  4. Continuous site-level performance benchmarking.

Interactive Product Preview

Explore core product surfaces in one place.

Ops Console

Prioritized intervention queue with confidence-ranked drift events and bay assignment status.

VehicleIssueSeverityAction
FLEET-204camera yaw driftcriticaldispatch site technician
FLEET-331radar amplitude collapsehighrun calibration flow
FLEET-087fusion confidence divergencehightrigger scenario replay

Fleet Reliability

Weekly fleet confidence trajectory by region and model family with threshold breach overlays.

Claims Evidence Timeline

Machine-generated event lineage proving signal detection, response action, and measured recovery outcome.

  • T0: Drift threshold crossed (camera pitch 0.62°)
  • T+3m: Risk class set to critical, dispatch created
  • T+42m: On-site calibration procedure initiated
  • T+59m: Validation pass at 0.07° residual
  • T+62m: Export bundle generated for insurer review

Executive Snapshot

Operational and risk KPIs aligned to business outcomes, by site and program cohort.

Mean Time to Detection4.8 min
Mean Time to Resolution58 min
Cycle-time Reduction29%
Claim Severity Prevention31%

Security + Governance

Built to support compliance-heavy environments and high-accountability teams.

Data Governance

  • Role-based access boundaries by organization and team.
  • Immutable event records for post-incident analysis.
  • Policy-driven retention configuration per deployment.

Operational Assurance

  • Evidence completeness checks before workflow closure.
  • Built-in calibration checkpoint integrity validation.
  • Automated anomaly escalation and trace notifications.

Enterprise Controls

  • Audit-ready export schemas for partner compliance teams.
  • Program-level reporting for governance reviews.
  • Structured APIs for systems-of-record integration.

Pricing

Designed for pilot-to-scale expansion.

Pilot

$2,800/mo

  • Up to 300 vehicles
  • Core drift detection and triage
  • Single-region deployment

Scale

$8,400/mo

  • Multi-site orchestration
  • Evidence + claims export workflows
  • Executive analytics layer

Network

Custom

  • OEM + partner ecosystem integration
  • Dedicated deployment engineering
  • Custom governance configuration

Get Started

Launch your first NADIR deployment in weeks, not quarters.

Set up an account, define your pilot scope, and start collecting measurable calibration intelligence outcomes.

Open Pitch Deck