DaCar – AI-Driven Simulation Accelerator for Autonomous Driving and ADAS

Accelerate ADAS development and autonomous driving simulation with an AI-driven simulation accelerator built to generate high-quality scenarios, training datasets, and synthetic sensor data in seconds instead of weeks.

Co-developed by CAIMAZO and DataArt, DaCar helps engineering teams scale validation, reduce costs, and remove hardware bottlenecks across the autonomous vehicle lifecycle.

DaCar is designed for organizations building Autonomous Drive Systems, ADAS features, simulation pipelines, perception models, and regulatory-ready validation scenarios.

How DaCar Works

Autonomous vehicles require massive volumes of simulation data, extensive scenario catalogs, and strict regulatory alignment with UNECE, Euro NCAP, and NHTSA standards. Traditional testing workflows remain slow, hardware-dependent, and expensive.

DaCar automates the generation of autonomous driving scenarios from natural language inputs, creating highway, city, proving-ground, edge-case, and endurance tests with built-in variations for traffic, VRUs, weather, signage, and sensor interactions.

The platform also generates synthetic LiDAR, RADAR, camera, and sensor-fusion datasets early in development, enabling shift-left testing and faster iteration in perception algorithm development.

AI-Driven Simulation Capabilities

Natural-Language Scenario Generation

Create ADAS and autonomous driving test scenarios directly from text prompts.

Synthetic Sensor Data & Shift-Left Validation

Run high-fidelity sensor simulations early in development to reduce late-stage testing risk.

AI-Driven Scenario Scaling

Generate large volumes of endurance, corner-case, and complex urban scenarios with consistent quality.

High-Fidelity Sensor Simulation for Autonomous Driving

Test new sensor layouts, mounting positions, and fusion setups without prototypes.

Scenario Quality and Compliance Controls

Built-in verification ensures ontology alignment, parameter consistency, and regulatory readiness.

Collaborative Web Interface

Support fast iteration across R&D, validation, and ADAS engineering teams.

Why Companies Choose DaCar

Faster ADAS validation and autonomous driving simulation cycles
Reduced dependency on hardware prototypes
Earlier training and validation of perception models
Improved model maturity before on-road testing
Lower development costs and faster time-to-market
Regulatory-ready scenarios aligned with UNECE, Euro NCAP, and NHTSA
Integration with CI/CD pipelines, simulation farms, and AV test frameworks

Who Benefits

Automotive OEMs (Autonomous & Electrified Mobility)
Tier-1 and Tier-2 suppliers
ADAS development teams
Perception and sensor fusion engineers
Simulation labs and homologation centers
AI/ML teams generating training datasets
Autonomous mobility R&D departments

See how DaCar replaces manual scenario scripting with scalable, automated validation. Book a demo today to experience how this AI-driven simulator accelerator speeds up ADAS testing and autonomous driving simulation with production-ready workflows.

About DataArt

DataArt is a global software engineering firm that delivers breakthrough data, analytics, and AI platforms for the world’s most demanding organizations, empowering clients to drive innovation and achieve their business goals. With deep expertise in the mobility and manufacturing sectors, DataArt helps companies navigate digital transformation by leveraging data analytics, AI, IoT, and custom software development to optimize operations, enhance connectivity, and create intelligent products.

About CAIMAZO

CAIMAZO helps businesses turn AI into a strategic advantage, driving automation, innovation, and sustainable solutions tailored to their needs. With over 20 years of experience in automotive AI and a strong international network, CAIMAZO provides consulting, data analysis, development, and ongoing support. Company’s expertise enables companies to adapt, thrive, and transform ambitious ideas into reality in today’s fast-paced digital era.