Model Prime provides a data platform specifically designed for Physical AI development workflows. The platform ingests, enriches, and centralizes heterogeneous sensor and control system log data, supporting formats like ROS and MCAP. It offers automated event tagging and smart search capabilities to accelerate data retrieval, debugging, and performance monitoring for robotics applications.
Funding
$3.3M 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.
EVFounders
Product
Problem
Robotics teams face challenges in managing and analyzing the large volumes of data generated by their robots, leading to increased data costs and difficulty in extracting performance insights. Traditional data management approaches often require significant upfront investment in infrastructure and custom tooling.
Solution
Model Prime offers a hybrid cloud-edge data and compute platform designed to streamline robotics data workflows. The platform enables teams to efficiently onboard, search, and analyze their robotics data, reducing data costs and enhancing performance insights. By providing flexible search capabilities, including natural language search and API integration, Model Prime allows users to quickly surface valuable information. The platform also automates log event detection and provides tools for detailed analysis using Python, enabling users to understand their robots' performance during development or in the field.
Target Audience
The primary target audience includes robotics development teams and organizations looking to efficiently manage, analyze, and extract insights from their robotics data.
Features
- Turn-key data platform for simple onboarding and rapid data search and analysis
- Flexible search capabilities, including precise logical queries, natural language search, and partial matching
- API integration for connecting internal tools and searching data programmatically
- Automated log event detection for quickly identifying events of interest
- Python-based analysis tools for detailed performance evaluation
- Low-code dashboard creation for sharing aggregated insights with teams and customers
- Metadata enrichment capabilities for automatically tagging events and adding intelligence to data