aiMotive provides an end‑to‑end platform that automates sensor data ingestion, AI‑assisted labeling, and photorealistic simulation while delivering modular, ISO‑26262‑aligned perception, planning, and control software for radar‑camera‑only ADAS and automated driving. The integrated cloud‑based NPU emulator enables faster‑than‑real‑time software‑in‑the‑loop testing within CI/CD pipelines, helping OEMs and Tier‑1 suppliers reduce development time and validation costs for L2‑L4 features.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Automotive OEMs and Tier‑1 suppliers face lengthy development cycles and high validation costs when building Advanced Driver Assistance Systems (ADAS) and automated driving (AD) software, especially when integrating radar and camera stacks without relying on high‑definition maps.
Solution
aiMotive delivers an end‑to‑end portfolio that combines data engineering, simulation, reusable software components, and high‑efficiency neural processing units (NPUs) to streamline ADAS/AD development. The aiData pipeline automates sensor data collection, annotation, and preprocessing, feeding directly into aiSim, a flexible neural‑network and photorealistic lighting simulator for scenario generation and validation. aiDrive provides modular, standards‑compliant perception, planning, and control stacks that can be integrated across vehicle platforms. aiWare’s bit‑accurate NPU model and cloud‑based emulation enable faster‑than‑real‑time software‑in‑the‑loop (SiL) testing within CI/CD pipelines, reducing hardware‑in‑the‑loop (HiL) dependencies. Together, these tools cut development time, lower validation expenses, and support L2‑L4 features using only radar and cameras, accelerating the path from concept to production.
Target Audience
Primary customers are automotive OEM engineering teams and Tier‑1 suppliers developing ADAS and automated driving functions, particularly those targeting L2‑L4 capabilities on radar‑camera sensor architectures.
Features
- Automated data pipeline (aiData) that ingests raw sensor streams, performs AI‑assisted labeling, and outputs calibrated datasets for training and testing.
- aiSim 5 simulation suite with neural‑network‑driven scenario generation, advanced lighting models, and support for flexible sensor configurations.
- Reusable, ISO‑26262‑aligned software modules (aiDrive) covering perception, prediction, planning, and control, delivered as containerized micro‑services.
- aiWare NPU with bit‑accurate functional model and cloud‑hosted emulation capable of faster‑than‑real‑time execution for large‑scale SiL CI/CD testing.
- Integrated CI/CD workflow hooks for automated regression testing, performance benchmarking, and safety case generation.
- Support for radar‑and‑camera‑only stacks, eliminating the need for high‑definition map dependencies in L2‑L4 feature development.
- APIs and SDKs for seamless integration with OEM toolchains, AUTOSAR environments, and third‑party validation frameworks.