What COMPREDICT does

COMPREDICT GmbH is a German automotive AI company founded in 2016 as a spin-off from TU Darmstadt, developing physics-grounded virtual sensors that derive physical measurements from existing vehicle signals (CAN-Bus, Ethernet, SAE J1939) rather than from additional hardware. The company offers 11 specialized virtual sensor models covering tire and brake wear, tire pressure (vTPMS), headlight leveling, suspension displacement, damper forces, driveshaft torque, tie rod forces, tire and brake temperature, vehicle mass, and e-motor temperature — many validated against automotive safety regulations including UN R48-09 and UNR 141-02. Its product portfolio comprises Virtual Sensor models (licensed per OEM program), the DataPilot SaaS platform for ML-ready data preparation, the Virtual Sensor Layer for embedded edge deployment, and an Integrity Monitoring module for runtime safety and model drift detection.

The company's business model rests on three revenue streams: per-vehicle or per-program licensing of Virtual Sensor models to automotive OEMs for series production deployment (anchor customer Renault Group covers 10M+ vehicles through 2030 across Renault, Dacia, and Alpine brands), recurring SaaS subscriptions for DataPilot, and professional services for data acquisition, calibration, and integration. Distribution combines direct enterprise sales to OEMs and Tier 1 suppliers with embedded deployment through partner platforms (Sonatus AI Director, BlackBerry IVY) and channel partners for geographic expansion (MACNICA for Japan). The firm is Automotive SPICE and TISAX compliant, GDPR-adherent, and operates as a private venture-backed company with approximately 25-50 employees headquartered in Darmstadt, having raised roughly $22-25M cumulatively across pre-seed, seed, Series A (€5.5M, June 2022), and Series B ($15M, June 2024 led by Woven Capital / Toyota's growth fund).

COMPREDICT serves automotive OEMs, Tier 1 suppliers, and (more nascently) fleet operators, manufacturers, defense, robotics, and agriculture customers. Strategic investor alignment includes BlackBerry (also a distribution partner via IVY), Woven Capital (Toyota), and Shift4Good (impact VC focused on sustainable mobility), with technology and integration partners spanning NXP, AWS, Luxoft, Dewesoft, and UTAC. The company is positioned as a Tier 1 supplier for software-defined vehicle architectures, monetizing the shift from hardware-sensor-equipped vehicles to software-defined sensing at a time when regulatory mandates are expanding the addressable BOM-replacement market.

Name

COMPREDICT

Legal name

COMPREDICT GmbH

Website

https://compredict.ai

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

11–50 employees

Short description

COMPREDICT provides AI-powered virtual sensors that replace or augment hardware sensors in vehicles by deriving physical measurements from existing CAN-Bus signals, serving automotive OEMs and Tier 1 suppliers through per-vehicle licensing and its DataPilot SaaS platform.

Ownership category

akta.pro rank

Product category

Automotive AI Software

NAICS

Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451), Other Measuring and Controlling Device Manufacturing (334519)

SIC

Industrial Instruments For Measurement, Display, And Control (3823), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Maintenance & Diagnostics Telematics (OBD/CAN, Predictive) (TLABAJAH)

akta.pro secondary industries

Tire Pressure Monitoring (TPMS) & Tire Telematics (TLAEAFAK), Vehicle Diagnostics & Fault Code Scanning Services (TLAKANAA)

Keywords

• Automotive virtual sensors
• Vehicle data analytics
• Predictive maintenance software
• Software-defined vehicles
• AI sensor fusion

Headquarters

HQ city

Darmstadt

HQ country

Germany

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Virtual Sensor Licensing (OEM Series Production): COMPREDICT licenses its Virtual Sensor models to automotive OEMs for embedding into series production vehicles. Revenue is generated through per-vehicle or per-program licensing agreements with major OEMs such as Renault Group (10M+ vehicles by 2030) and DACIA (2026 series production).
2. SaaS Platform (DataPilot): DataPilot is a cloud-based SaaS platform providing signal quality checking, labelling, and ML-ready dataset export for automotive R&D teams. Generates recurring subscription revenue.
3. Professional Services: COMPREDICT offers professional services including data acquisition support, signal list provision, calibration, validation, and integration assistance for customers adopting Virtual Sensor technology.

Pricing tiers

Go-to-market motion3 records

Distribution channels5 records

Marketing channels9 records

Core offering

COMPREDICT develops AI-powered Virtual Sensors that replace or augment physical hardware sensors in vehicles and machines. The technology transforms raw high-frequency time-series vehicle data (CAN-Bus, Ethernet, SAE J1939) into physical measurements using physics-grounded AI models, enabling automotive OEMs and Tier 1 suppliers to reduce bill-of-materials costs, enable predictive maintenance, and meet regulatory requirements without additional hardware.

Product overview

COMPREDICT offers a modular product portfolio centered on AI-powered Virtual Sensors that transform standard vehicle data into physical measurements, replacing or augmenting hardware sensors. The core platform consists of DataPilot (a SaaS platform for data quality and labeling), Virtual Sensor Models (AI-driven sensors for various automotive measurements), Virtual Sensor Layer (embedded edge deployment software), and Integrity Monitoring (validation and safety system). The product portfolio includes 11 specialized virtual sensor models covering tire & brake wear, headlight leveling, tire pressure (vTPMS), wheel forces, suspension displacement, vehicle mass, damper forces, driveshaft torque, tie rod forces, tire & brake temperature, and e-motor temperature. COMPREDICT serves automotive OEMs, Tier-1 suppliers, and fleet operators with solutions deployable in cloud or embedded directly in vehicles from passenger cars to heavy commercial vehicles.

Differentiator

Problem solved

Functional benefit

Brands

• DataPilot Platform: SaaS platform that automates quality checking, signal matching, event labelling, and export pipeline for vehicle data
• COMPREDICTOR
• Integrity Monitoring
• Virtual Sensor Layer

Products and services

• DataPilot Platform SaaS platform that automates quality checking, signal matching, event labelling, and export pipeline for vehicle time-series data, transforming raw CAN-Bus, Ethernet, and SAE J1939 data into ML-ready training datasets 10x faster than manual workflows. Targeted at automotive and industrial R&D teams.
• Virtual Sensors Models AI-powered virtual sensor model portfolio that transforms standard vehicle signals (CAN-Bus, Ethernet, SAE J1939) into physical measurements, replacing or augmenting hardware sensors. Licensed per-vehicle or per-program to automotive OEMs and Tier 1 suppliers.
• Virtual Sensor Layer Embedded software layer for deploying, executing, and managing Virtual Sensors directly inside vehicles or machines at the edge. Provides model runtime under real-time and resource constraints, standardized lifecycle control, and edge optimization across fleets.
• Integrity Monitoring Runtime monitoring system ensuring Virtual Sensor outputs remain valid, safe, and trustworthy throughout real-world operation. Includes model drift detection, plausibility checks, confidence scoring, anomaly detection, safe fallback behavior, and DTC integration.
• Virtual TPMS (vTPMS) Software-only tire pressure monitoring system delivering absolute per-wheel pressure values using existing CAN-Bus signals, UNR 141-02 compliant, with zero in-wheel hardware sensors required. Series production with DACIA starting 2026.
• Tire & Brake Wear Virtual Sensor AI-powered virtual sensor estimating tire and brake wear levels in real-time using existing vehicle signals, enabling predictive maintenance and health monitoring without additional hardware. Deployed across Renault Group vehicles.
• Virtual Headlight Leveling Sensor AI-based virtual sensor calculating vehicle pitch angle using CAN signals to enable automatic headlight leveling, replacing physical ride height sensors. UN R48-09 compliant by 2027, with up to $20 BOM savings per vehicle.
• Suspension Displacement Virtual Sensor Software-based solution estimating suspension travel at each wheel without physical ride height sensors, achieving up to €40 BOM savings per vehicle with sub-2mm accuracy across common driving scenarios.
• Wheel Force Transducer Virtual Sensor Virtual sensor estimating wheel forces without physical strain gauges, delivering high-frequency force data for steering system design validation, fatigue analysis, and component optimization.
• Damper Forces Virtual Sensor Virtual sensor providing accurate suspension load data under all driving conditions (NMSE 0.02kN), enabling durability validation and wear insights for damping systems without additional hardware.
• Driveshaft Torque Virtual Sensor Virtual sensor delivering precise driveshaft torque data across all vehicle types without physical strain gauges, providing key insights into recuperation torques for electric vehicles.
• Tie Rod Forces Virtual Sensor Virtual sensor delivering accurate, real-time steering tie rod force measurements (NMSE 0.3kN, ±5% duty value accuracy) without physical strain gauges, enabling safer steering system designs and early wear detection.
• Tire & Brake Temperature Virtual Sensor AI-powered virtual sensor monitoring tire surface (accuracy ±10°C) and brake disc/pad temperature per corner in real-time using existing vehicle data. 10Hz sampling, 0.1°C resolution, no additional hardware.
• E-Motor Temperature Virtual Sensor Virtual sensor providing accurate rotor and stator temperature monitoring for e-motors using existing powertrain signals, with deviation less than 15°C and zero additional hardware.
• Vehicle Mass Virtual Sensor AI-driven solution estimating vehicle mass and load distribution statically and dynamically for all vehicle types using existing vehicle signals, enhancing safety, range estimation, and fleet cost efficiency.
• COMPREDICTOR Demo Car State-of-the-art demo vehicle equipped with COMPREDICT's Virtual Sensors showcasing how software can replace traditional hardware sensors. Available for demonstrations at COMPREDICT facilities or on-site at OEM and Tier 1 supplier locations.

Quantifiable outcome

• Up to 80% sensor cost reduction compared to traditional hardware-only sensing solutions
• +8 more outcomes

Named customers4 records

Segments7 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability4 records

Feature13 records

Partnerships

Seven partnerships are on record, tiered core, flagship and minor.

• MACNICAcoreGTM or Marketing Partner · 16 December 2025Strategic go-to-market partnership for Japan. MACNICA, a leading Japanese technology solution provider, will introduce, promote, and support COMPREDICT's Virtual Sensor solutions across Japan's automotive industry, leveraging its established customer relationships.
• SonatuscoreTechnology or Integration · 3 September 2025Strategic partnership integrating COMPREDICT's virtual sensors with Sonatus AI Director platform for accelerated OEM deployment. Enables up to $20 BOM cost savings per vehicle. Collaboration addresses the projected $46B automotive AI market by 2034.
• Renault GroupflagshipStrategic or Co-development Partner · 10 September 2024Six-year landmark partnership to deploy COMPREDICT virtual sensors (tire and brake wear) across over 10 million vehicles across Renault, Dacia, and Alpine brands by 2030. Positions COMPREDICT as a Tier 1 supplier for predictive maintenance and aftersales services.
• BlackBerry IVYcoreTechnology or Integration · 1 February 2023Strategic technology partnership integrating COMPREDICT's virtual sensors with the BlackBerry IVY connected vehicle data platform (built with AWS). Enables hardware-agnostic, edge deployment across 215+ million vehicles running BlackBerry QNX. Demonstrated live at CES 2023 in a Jeep Grand Cherokee.
• AlpinecoreStrategic or Co-development PartnerPartnership to advance Virtual Sensor technology in high-performance automotive applications, leveraging Alpine's Formula 1 and motorsports data analytics expertise. Racing heritage serves as extreme-condition validation environment for COMPREDICT's technology.
• UTACminorStrategic or Co-development PartnerMemorandum of Understanding signed to transform automotive testing with sensor virtualization. UTAC provides state-of-the-art testing infrastructure and expertise; jointly developing a demo car with Dewesoft showcasing real-world virtual sensor capabilities for homologation and validation testing.
• LuxoftminorImplementation/ SI/ Consulting PartnerLuxoft is listed as a technology and integration partner, likely supporting system integration and consulting services for COMPREDICT's enterprise customers.

Scale indicators9 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Sonatus: Sonatus provides the AI Director platform that COMPREDICT integrates with for OEM deployment. Both companies target software-defined vehicle architectures; Sonatus' software platform and COMPREDICT's virtual sensor catalog are tightly coupled and partially overlapping in automotive AI software positioning.
• NIRA Dynamics: NIRA Dynamics (Sweden) builds software-only automotive sensing using existing vehicle signals - notably road friction, tire grip, and surface monitoring - and sells to OEMs globally. It is the closest direct competitor to COMPREDICT in the "virtual sensor replacing hardware" automotive niche.
• BlackBerry IVY: BlackBerry IVY is a connected-vehicle data platform (built with AWS) running across 215M+ BlackBerry QNX vehicles. COMPREDICT's virtual sensors deploy on IVY, and BlackBerry is also a Series A investor and platform partner - making IVY both an enabler and a potential in-house competitor in automotive edge AI.

Broad incumbents

• Continental Automotive: Continental is a global Tier 1 supplier with deep OEM relationships and an extensive hardware-sensor portfolio (TPMS, ride height, brake sensors) that COMPREDICT is actively disrupting. Continental also sells into the same automotive AI and software-defined vehicle space through its automotive group.
• HERE Technologies: HERE provides automotive mapping, location data, and increasingly software-defined vehicle services to global OEMs. Its automotive software platform and data assets make it an adjacent incumbent relevant to COMPREDICT's SDV and predictive maintenance use cases.
• Mobileye: Mobileye (Intel-owned then taken public) dominates ADAS perception software with EyeQ chips across most global OEMs. While focused on camera-based perception rather than physics virtual sensors, Mobileye represents the broader automotive AI software incumbent landscape and a potential acquirer/competitor.
• Cerence: Cerence is a publicly listed automotive AI company delivering in-cabin AI experiences to most major OEMs. As a broader automotive AI incumbent with established OEM relationships, it represents the kind of larger, well-capitalized player that could expand into vehicle-sensing AI domains.
• Bosch Mobility: Bosch is the world's largest automotive supplier with a dominant TPMS, sensor, and ECU business. It is the most credible incumbent threat to COMPREDICT's hardware-replacement value proposition and is also investing in software-defined vehicle and automotive AI capabilities.

Emerging players

• Apex.AI: Apex.AI builds safety-certified automotive software (Apex.OS, Apex.Middleware) for software-defined vehicles, with comparable certifications and OEM go-to-market focus. They compete for the same OEM software budget and engineering mindshare that COMPREDICT targets.
• Sibros: Sibros provides a connected vehicle platform for OTA updates, data logging, and fleet management. It overlaps with COMPREDICT's DataPilot SaaS and software-defined vehicle value proposition, particularly for fleet operators and OEMs building SDV data architectures.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/@compredict
• LinkedInlinkedin.com/company/compredict
• Xx.com/compredict

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Funding overview

Funding rounds3 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about COMPREDICT