CerebrumX offers an AI-powered connected vehicle data platform that utilizes machine learning to provide real-time insights from over 15 million connected vehicles, enabling fleet operators to enhance safety and efficiency. The platform integrates seamlessly with existing systems, delivering actionable data on vehicle performance and operational metrics without the need for additional hardware.
Funding
$5.5M 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.
PCFounders
Product
Problem
Many fleets include a mix of older and newer vehicles, leading to inconsistent data collection, as older vehicles often lack the advanced data collection capabilities of newer, connected models. Relying on smartphone apps and OBD-II port dongles for older vehicles results in varying data quality and completeness across the fleet. This heterogeneity makes it difficult to obtain a unified view of fleet performance and optimize operations.
Solution
CerebrumX provides an AI-powered connected vehicle data platform that addresses the challenge of disparate data sources by integrating data from OEM cloud platforms, smartphone applications, and aftermarket devices like dongles and dashcams. The platform's Augmented Deep Learning Platform (ADLP) normalizes and standardizes data from over 15 million connected vehicles, regardless of the source, into a unified format. This allows fleet operators, insurers, and other automotive businesses to gain comprehensive insights into vehicle performance, driver behavior, and operational efficiency across their entire fleet. By focusing on consented data and adhering to GDPR and CCPA compliance, CerebrumX ensures data privacy and security while delivering actionable intelligence.
Target Audience
The primary target audience includes fleet operators seeking to optimize efficiency and safety, insurance companies utilizing data for usage-based insurance (UBI) programs, and electric vehicle (EV) manufacturers aiming to improve vehicle performance and driver experience.
Features
- Data ingestion from multiple sources: OEM cloud platforms, smartphone apps, and aftermarket devices
- Augmented Deep Learning Platform (ADLP) for data normalization and standardization
- Real-time data processing and analytics using AI and machine learning
- Support for over 300 data parameters collected at 1Hz frequency
- Customizable APIs and data packages tailored to specific client needs
- GDPR and CCPA compliance for data privacy and security
- Integration with existing fleet management and insurance systems
- Predictive maintenance capabilities for reducing vehicle downtime