REAL-TIME ADAS SENSOR DRIFT DETECTION PLATFORM

FULL PITCH DECK
INVESTOR + STRATEGIC VERSION

Addressing the ADAS calibration and validation gap with real-time drift detection, automated compliance validation, and fleet intelligence across OEM, aftermarket, and insurance channels.

$30B+
TAM: ADAS Hardware Market
$8.4B
SAM: Calibration Services (2033)
>80%
Post-Repair Vehicles Uncalibrated
$300-1,500
Aftermarket Recalibration Cost

The Critical Problem

Multi-billion dollar systemic failure in ADAS calibration and validation.

Sensor Misalignment Crisis

Minor collisions, windshield replacements, and routine service introduce sub-degree camera pitch/yaw errors that degrade safety features.

  • 0.5 deg camera pitch error -> 15-20% AEB range reduction
  • Cross-sensor fusion failures increase false negatives
  • Lane departure and ACC reliability degrade

Calibration Compliance Gap

Industry findings indicate over 80% of vehicles needing post-repair ADAS calibration leave without proper validation.

  • No real-time drift detection in most shops
  • No automated compliance logging
  • Claims lack sensor-health evidence trails

Cascading Economic Impact

OEM lines lose calibration throughput while fleets absorb downtime, compliance exposure, and insurance severity increases.

  • OEM EOL calibration: 30-60 min / vehicle
  • OEM labor impact: $40-80 / vehicle
  • Fleet downtime: $200-500 / day
  • Claim severity increase: 8-15%

NADIR Solution Architecture

Real-time drift detection, automated validation, and continuous sensor health monitoring.

Hardware Layer

  • Camera: Sony STARVIS / OnSemi, >=120 dB HDR
  • IMU: Bosch BMI270, 16-bit, +/-2000 deg/s, +/-16g
  • Connectivity: GMSL2, CAN FD/FlexRay, Automotive Ethernet, LTE-M/5G OTA
  • Environmental: +/-0.5 C temp, IP67 sealing

Compute Platform

  • NVIDIA Orin (254 TOPS), Snapdragon Ride, TI TDA4VM
  • Linux 5.15+ PREEMPT_RT / QNX 7.1 option
  • AUTOSAR Adaptive and secure boot (TPM 2.0)
  • Performance: <10-15ms latency, 30-60 FPS

Software Stack

  • ROS2, C++17/20, CUDA 12.x, TensorRT 8.x
  • OpenCV 4.8+, Eigen 3.4+, GTSAM 4.2+, Ceres 2.1+
  • Inference target: <5ms
  • Pipeline latency target: <15ms end-to-end

Core Algorithms

  • SE(3) drift estimation with sliding-window BA
  • Precision: +/-0.05 deg angular, +/-2 mm translation
  • Fusion: camera-radar-IMU with EKF/UKF
  • Validation: Mahalanobis + chi-square testing, 99.7% confidence

Market Data and Analytics

Comprehensive market sizing, growth assumptions, and segment distribution.

$30.0B

TAM: ADAS hardware market (2024)

$8.4B

SAM: calibration services (2033)

$5.0B

SAM: calibration tools (2035)

$2.2B

SOM: target addressable by Y5

Growth Trajectory

  • Calibration services CAGR: 12.8%
  • Calibration tools CAGR: 13.1%
  • CaaS CAGR: 3.4%

Customer Segment Distribution

  • Collision repair: 42% ($3.5B)
  • OEM production: 25% ($2.1B)
  • Fleet management: 21% ($1.8B)
  • Insurance/warranty: 12% ($1.0B)

Adoption Forecast (2025-2030)

  • Progressive fleet deployments
  • Aftermarket install acceleration
  • OEM integration curve ramps by Y3-Y5

Platform Capabilities and Positioning

NADIR as the only platform combining real-time drift detection, validation, and fleet intelligence.

Competitive Gaps

  • Tier-1 suppliers: static factory calibration only
  • OEM tech groups: proprietary and siloed efforts
  • ADAS software leaders: perception-first, no calibration ops layer
  • Fleet telematics: no sensor-level ADAS diagnostics
  • Repair tech: manual workflows, limited validation

NADIR Unique Value Proposition

  • Continuous SE(3) monitoring versus one-time checks
  • Cross-OEM AUTOSAR-compatible platform
  • Vertical chain coverage: factory -> aftermarket -> fleet -> insurance
  • Automated compliance validation and audit trails

Business Model and Unit Economics

Multi-revenue hardware + SaaS + data model with strong gross margin profile.

OEM Hardware + License

$45-75

Per-vehicle hardware module + software license. Target 5-10% OEM penetration by Y5.

Gross margin: 40-50%

Aftermarket Retrofit

$199-349

Retrofit kit, install, and first-year subscription for collision and glass channels.

Gross margin: 55-65%

Fleet SaaS

$8-15/mo

Per-vehicle cloud platform and APIs for compliance, alerts, and benchmarking.

Gross margin: 80-85%

Data Licensing / Insurance API

$2-5/mo

Anonymized sensor health feeds for UBI, claims severity, and fraud analytics.

Gross margin: 90-95%

Unit Economics (Fleet)

  • CAC: $480
  • ARPV: $220
  • Gross margin: 82%
  • Customer lifetime: 8 years
  • LTV:CAC target: 3.0:1 by Y2-Y3

5-Year Revenue (Conservative)

  • Y1 2025: $0.8M
  • Y2 2026: $4.2M
  • Y3 2027: $18.5M
  • Y4 2028: $52.3M
  • Y5 2029: $124.7M

Scale Progression (Account-Level)

  • Y1: $1.0k
  • Y2: $2.8k
  • Y3: $9.6k
  • Y4: $28.0k
  • Y5: $66.0k

Go-to-Market Strategy

Phased market entry: Fleet -> Aftermarket -> OEM.

Y1-Y2
Phase 1: Fleet Operators
Target 50-500 vehicle fleets (Amazon, UPS, FedEx, rideshare partners). Value: $200-500 per vehicle/year savings, compliance automation, liability reduction. Success target: 10K vehicles, 3-5 anchors, <6 month payback.
Y2-Y3
Phase 2: Aftermarket Collision Repair
Partnerships with MSO chains, dealer service, and windshield channels. Model: $199-349 retrofit + $6-10/mo per bay. Success target: 500+ shops, 80%+ compliance (from <20%).
Y3-Y5
Phase 3: OEM Production Integration
Tier-1 partnerships (Bosch, Continental, Aptiv). Value: $40-80 labor savings and +8-12 vehicles/day throughput per line. Success target: 1-2 OEM programs, 200K+ vehicles/year, $45-75 ASP.

Founding Team

Deep technical capability in autonomous systems, CV, embedded software, and automotive architecture.

Dhruv Hegde - Co-Founder & CEO

University of Michigan - Computer Science & Mathematics. Focus on computer vision, camera calibration, and low-level sensor programming for automotive systems.

Srivatsan Balaji - Co-Founder & CTO

University of Michigan - Computer Engineering. Focus on embedded systems, real-time optimization, and sensor fusion architecture.

Hiring Priorities (12 Months)

  • Founding perception engineer
  • Full-stack founding engineer (React/TypeScript/API)
  • Embedded and optimization talent

Operating Focus

  • Production-grade validation tooling
  • Fleet and channel integrations
  • OEM readiness and safety-cert pathway

Current Traction and Milestones

Started in Q1 2026. MVP completed with pilot, fundraising, and hardware tracks in motion.

Q1 2026
MVP Algorithm Development Completed
Validated on KITTI and nuScenes. Achieved +/-0.05 deg and +/-2 mm simulation results.
Q4 2026
Hardware Prototype Built Planned
Alpha stack: NVIDIA Orin + Sony STARVIS + Bosch IMU targeted for completion in Q4 2026.
Q2 2026
Pilot Customer Signed (Fleet) In Progress
LOI target with regional delivery fleet (250 vehicles), 6-month pilot. Savings validation target: $400/vehicle/year.
Q2 2026
Pre-Seed Close In Progress
Team expansion (4-6 engineers), beta run (500 units), 3-5 pilots.
Q3-Q4 2026
Aftermarket Pilots Planned
10-15 shop deployments. Compliance improvement goal: <20% -> 85%+.
Next
Seed + OEM Engagement
Seed target: $8-15M after traction. Tier-1 roadmap discussions with Bosch/Continental.

Pre-Seed Funding Round

Funding options and operating plan reflected from current deck materials.

Raise Range

$200K-400K

Indicative target at $4M-6M pre-money valuation (~5-10% dilution range).

Scale Objective

$3M-5M

Broader pre-seed objective in roadmap mode to support larger pilot and hiring cadence.

18-Month Milestones

  • M1-6: hiring + beta production + first pilot (500 vehicles)
  • M7-12: 3-5 pilots, 3K vehicles, 15 shops, $500K-1M ARR validation
  • M13-18: seed prep ($8-15M), ISO pathway, $2-3M ARR target
40%

Team expansion

30%

Hardware and manufacturing

20%

Pilot deployments

10%

Infrastructure and operations

Risk Factors and Mitigation

Transparent risk model with specific mitigation tracks.

OEM Sales Cycle Length

Risk: 18-36 month procurement cycle delays revenue.

  • Prioritize fleet + aftermarket for near-term ARR
  • Use Tier-1 channels over direct-only OEM selling
  • Diversify revenue mix in parallel

Tier-1/OEM Competition

Risk: incumbent in-house drift solutions.

  • Aggressive IP posture and early mover execution
  • Cross-OEM neutral platform positioning
  • Defensible aftermarket channel strength

ISO 26262 Certification Complexity

Risk: ASIL-D path can require 12-18 months and $1M-2M.

  • Phase 1 with fleet/aftermarket on ASIL-B profile
  • Parallel certification consultants (TUV SUD, SGS)
  • Budget seed allocation for certification track

Customer Acquisition Economics

Risk: early LTV:CAC below 3:1 target.

  • Pilot case studies reduce CAC over time
  • Channel partnerships increase distribution efficiency
  • Insurance co-marketing incentives for fleets

Let's Build the Future of ADAS Safety

Seeking strategic partners, investors, and early customers.

Contact

dhruv@nadir.ai
srivatsan@nadir.ai

NADIR Technologies Inc.
San Francisco, CA
Founded 2025