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AI FOR AUTOMOTIVE & MOBILITY

Custom AI/ML solutions for automotive & mobility industry

Custom AI and ML for OEMs, dealers, and mobility platforms. ADAS perception, dashcam analytics, dealership intelligence, and EV demand siting — built for the auto value chain.
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$4.40B → $6.55B

Automotive AI dashcam market growth 2026 → 2033 (5.8% CAGR) — fleets driving most of it.

L2 / L2+

ADAS perception stacks now shipping pre-validated against OEM platform requirements.

VIN-level

Dealer inventory acquisition and pricing decisions now made with per-vehicle AI scoring.

Achieve immediate, organization-wide results

Six measurable outcomes across underwriting, claims, and actuarial functions — deployed in months, not years.

ADAS Perception

Vision, radar, and lidar fusion for L2 / L2+ stacks. Pre-validated against OEM platform and ASIL safety requirements.

Dashcam Analytics

Driver-behavior scoring, collision evidence, and PII redaction at the edge — for fleets and commercial vehicles.

Dealer Intelligence

VIN-level pricing, acquisition scoring, and demand forecasting per market. Higher ROI per vehicle than gut-feel pricing.

EV Demand Siting

Charging-station placement and grid-impact modeling fused with vehicle telemetry and traffic flow.

Connected Vehicle Telemetry

DTC fault classification, OTA-update targeting, and predictive maintenance from CAN-bus and OBD-II data.

Used-Car Valuation & Wholesale

Per-VIN residual modeling with auction comps, mileage, regional demand, and reconditioning cost.

Capabilities across the automotive & mobility value chain

OEM & Engineering

  • ADAS perception and sensor-fusion stacks (vision/radar/lidar)
  • HD map and lane-graph generation for L2+ deployment
  • Software-defined vehicle (SDV) feature-flag and OTA targeting
  • Warranty-claim NLP and field-failure root-cause

Connected Vehicle & Fleet

  • Driver-behavior scoring from dashcam and telematics
  • DTC fault classification and predictive-maintenance models
  • Edge-deployed PII redaction for video evidence
  • Insurance-grade collision reconstruction from sensor logs

Dealer & Aftermarket

  • VIN-level pricing and acquisition-decision support
  • Used-car residual and wholesale-auction valuation
  • Lead-scoring and dealership conversion optimization
  • Parts-demand forecasting per service-center catchment

Mobility & EV Infrastructure

  • EV charging-station siting with grid-impact modeling
  • Battery-health and range-prediction models
  • Ride-hailing and shared-mobility demand forecasting
  • Tolling, parking, and curb-management vision
From the playbook

How a multi-state dealer group lifted gross-per-vehicle $470 with VIN-level pricing AI

A 14-rooftop dealer group operating across 4 states was relying on weekly manual price reviews for 2,800 used vehicles in inventory. We built a VIN-level valuation model fusing auction comps (Manheim, ADESA), regional demand signals, reconditioning costs, and aging-curve dynamics. Average gross-per-vehicle lifted $470 within 5 months, days-to-sale dropped from 34 to 27, and wholesale-disposition decisions on stale inventory cut floor-plan interest by $340K/year. The same engine now feeds the trade-in appraisal app the lot teams use on tablets.

See more case studies →

START TODAY

Speak with an automotive AI expert

A 45-minute scoping call. We’ll come prepared with your appetite, your loss-cost benchmarks, and a directional read on which models move the needle on your line of business.

Ask us about

  • ADAS perception stacks for L2 / L2+ OEM programs
  • Dashcam analytics and driver-behavior scoring for fleets
  • VIN-level pricing, acquisition, and residual modeling
  • EV charging-station siting and grid-impact analysis
  • Connected-vehicle DTC and predictive maintenance
  • Software-defined vehicle OTA targeting and rollout

    Contact Us
    Need experts to collaborate with for your AI/ML journey? Drop us an email and we will get in touch

    Frequently asked questions

    Can your perception models meet ISO 21448 (SOTIF) and 26262 (functional safety)?
    Yes. ADAS-bound models ship with the artifacts your safety case requires: ODD (operational design domain) definition, hazard analysis and risk assessment, validation against scenario libraries, and traceable requirements coverage. We've supported Tier 1s and OEMs through ASIL-B and -C component qualification.
    Yes. We integrate with CDK, Reynolds & Reynolds, Dealertrack, AutoMate, and Tekion via standard exports and APIs. Auction feeds connect to Manheim, ADESA, and OPENLANE. Recommendations push back into your DMS, third-party listing platforms (Cars.com, AutoTrader, CarGurus), and the trade-in apps your sales teams already use.
    Yes. PII redaction (faces, plates) runs at the edge before footage ever leaves the vehicle. CAN-bus telemetry is processed under your existing OEM data-governance agreements, and we offer differential-privacy techniques for cross-fleet aggregation. We comply with GDPR, CCPA, and emerging state-level connected-vehicle laws (CO, OR, etc.).
    Yes. The underlying ML platform (telemetry ingest, feature store, model registry, monitoring) is reusable across the value chain. Domain models differ — OEM focuses on perception and warranty, fleet on driver behavior and DTC, dealer on pricing and acquisition — but most multi-segment players run one shared stack with multiple model families.

    Explore AI/ML solutions for automotive & mobility

    Ready to talk automotive AI?

    Start with a 45-minute strategy session. We come prepared with a directional read on your line of business and a scoped proposal.

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