Alexander Soto
Founder
Trace
Trace provides a data marketplace and infrastructure for physical AI, letting robotics and autonomous vehicle developers source, standardize, and integrate high‑quality sensor datasets such as LiDAR, vision, and IMU streams. The platform automates ingestion, cleaning, quality assurance, and delivery via APIs, reducing the time and effort needed to obtain reliable training data.
- Artificial Intelligence
- Developer Tools
- Industrial Automation
- Robotics
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Alexander Laiman
Co-founder
Matthew Wetmore
Co-founder
Tanner Johnson
Co-founder
Product
Problem
Robotic systems that operate in real-world environments require large, high-quality datasets to train and validate their AI models, but acquiring, standardizing, and delivering such data is complex and fragmented across many sensor types and formats. This data bottleneck slows development cycles and hampers scaling of physical AI solutions.
Solution
Trace offers a data marketplace and operational infrastructure designed specifically for physical AI. The platform connects data providers and robot developers, handling the end-to-end workflow of capturing raw sensor streams, transforming them into standardized formats, and delivering curated datasets that meet specific customer requirements. By abstracting the logistics of data collection, storage, and quality control, Trace enables robot manufacturers to obtain relevant, high-fidelity data more quickly, accelerate model training, and focus on deploying functional AI solutions at scale.
Target Audience
Primary customers are robotics companies, autonomous vehicle developers, and industrial AI teams that need reliable, real-world datasets to train perception and control models.
Features
- Centralized marketplace that aggregates real-world sensor data from diverse sources for easy discovery and licensing
- Automated pipelines for data ingestion, cleaning, and format conversion across multiple sensor modalities (e.g., LiDAR, vision, IMU)
- Quality assurance layer that validates dataset integrity, labeling accuracy, and compliance with customer specifications
- Scalable cloud storage and delivery mechanisms with API access for seamless integration into robot development workflows
- Flexible licensing and usage controls that support both one-time purchases and subscription-based data access