Ottometric | Company Profile
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Ottometric
Overview
Ottometric, Inc. is a technology company focused on AI-driven validation and training solutions for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs). The company offers an advanced software platform that automates the management, annotation, and analysis of large-scale raw test data generated during the development of ADAS and AV technologies. This platform tackles crucial industry challenges, including big data handling and sensor performance evaluation, assisting automotive OEMs and Tier 1 suppliers in reducing validation time and costs while improving system reliability and safety compliance.
Their flagship product leverages proprietary AI and mathematical models to analyze sensor and system data, ensuring accurate operation of ADAS and AV features. Automated review processes for endurance test data help optimize datasets for AI training purposes. Drawing from deep expertise in automotive electronics, generative AI, and big data analytics, Ottometric delivers comprehensive ADAS validation solutions that enable manufacturers to enhance feature accuracy, meet safety regulations efficiently, and accelerate the deployment of advanced automotive safety systems.
Basic Information
Industry | information technology & services |
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Founded | 2018 |
Revenue | 3.5M |
Headquarters | Waltham, Massachusetts, United States |
Parent Organization | Series A |
Alexa Ranking |
Contact Details
- Phone: +1 978-238-8422
- Website: ottometric.com
- LinkedIn: linkedin.com/company/ottometric
Key Focus Areas & Initiatives
- ADAS validation automation
- Autonomous vehicle training
- AI training for automotive systems
- Big data analytics and management
- Sensor performance evaluation
- Cloud-based validation platform
- Regulatory compliance validation
- System KPI automation
- Vehicle safety systems
- Automated data screening
- Validation process optimization
- Edge case detection and scenario testing
- Cycle reduction for HIL/SIL
- Data selection for AI training
- Automotive software development
- Machine learning initiatives
- Operational efficiency for automotive enterprises
Technologies Used
- AI
- Amazon AWS
- Android
- Atlassian Cloud
- Gmail
- Google Apps
- Google Font API
- Google Tag Manager
- Hubspot
- Kubernetes
- Mapbox
- Mobile Friendly
- React Redux
- Remote
- Route 53
- StatCounter
- Typekit
- WordPress.org