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Roboto AI develops a specialized analytics engine designed for robotics and physical AI applications. This platform enables organizations to search, transform, and analyze multimodal data generated by robotic systems at scale. By leveraging artificial intelligence, Roboto AI provides tools that empower engineering teams to efficiently manage complex robotics data, supporting a wide range of autonomous operations and devices. Its technical approach focuses on robust data processing to enhance the development and deployment of intelligent machines.
The company was co-founded by Benji Barash, who serves as CEO, and Yves Albers-Schoenberg. Both founders brought extensive experience from their previous roles as engineering leaders at Amazon Robotics and AWS. Their foundational insight stemmed from observing the growing need for sophisticated data analysis solutions as the robotics and autonomous systems industry expanded, leading them to build a dedicated platform to address this critical challenge.
Roboto AI primarily serves robotics companies and teams working with physical AI systems that generate vast amounts of operational data. The company's overarching vision is to accelerate the development and deployment of intelligent robotics by providing the essential tools for data analysis. It aims to be a cornerstone for innovation in an era increasingly defined by autonomous machines, enabling advancements across various robotic applications.
Roboto AI has raised $5.0M across 1 funding round.
Roboto AI has raised $5.0M in total across 1 funding round.
Roboto AI has raised $5.0M in total across 1 funding round.
Roboto AI's investors include M12, Menlo Ventures, Thomvest Ventures, Unusual Ventures.
Roboto AI has raised $5.0M across 1 funding round. Most recently, it raised $5.0M Seed in April 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2023 | $5M Seed | — | M12, Menlo Ventures, Thomvest Ventures, Unusual Ventures | Announced |
Roboto AI is a B2B technology startup founded in 2022 that builds an AI-powered analytics platform for robotics data, acting as a copilot for engineers to search, transform, and analyze petabytes of multimodal sensor logs and files.[1][2][4][6] It serves robotics developers and companies like BRINC, solving the core problem of time-intensive custom scripting for debugging failures, finding edge cases, and evaluating performance, which delays robot production.[1][4][5][6][7] The platform supports formats like ROS, PX4, MCAP, and Parquet, enabling natural language queries, AI-driven anomaly detection, and programmatic access via Python SDK and CLI.[4][6] Backed by $4.8M from investors including Unusual Ventures, Allen Institute for AI2, and FUSE, Roboto has early traction with a free nuScenes demo and customer testimonials on scaling reliability.[2][4][5][6]
Spun out of AI2 with offices in Seattle and Zürich, the company employs under 10 people and focuses on accelerating Physical AI development by automating data workflows.[2][4][7]
Roboto AI was founded in 2022 by Benji Barash (CEO) and Yves Albers-Schoenberg (CTO), former engineering leaders at Amazon Robotics and AWS, who spun it out from the Allen Institute for Artificial Intelligence (AI2).[2][4][7] At Amazon Robotics, the duo spent days writing scripts to process sensor data for debugging and algorithm development, highlighting the data bottleneck in robotics workflows.[4][7] This hands-on frustration—reviewing endless logs amid rising Physical AI demands—sparked the idea for an out-of-the-box analytics engine.[5][7] Early momentum came from emerging from stealth with a $4.8M seed round led by Unusual Ventures, alongside AI2 and FUSE, and launching a free demo on the nuScenes autonomous driving dataset.[2][4][5]
(Note: A separate entity at robotoai.com builds autonomous mobile robots for logistics, but evidence points to distinct companies; this profile focuses on the data analytics platform at roboto.ai.[3])
Roboto AI rides the Physical AI and robotics scaling wave, where sensor data volumes explode but analysis lags, hindering reliable deployments in warehouses, drones, and autonomous vehicles.[5][7] Timing aligns with Industry 4.0 and AI advancements enabling multimodal processing, as robotics firms like those using nuScenes shift from in-house tools to platforms amid talent shortages.[4][6] Market tailwinds include surging robot adoption (e.g., Amazon's fleets) and investor focus on infra picks-and-shovels over hardware, with Roboto reducing dev time by orders of magnitude.[1][5] It influences the ecosystem by democratizing edge-case hunting, boosting fleet reliability for startups, and catalyzing production robots via tools like those praised by BRINC engineers.[6]
Roboto AI is primed to become infrastructure for Physical AI, expanding beyond search to full ML pipelines and integrations with sim tools like Isaac or ROS 2. Trends like humanoid robots and edge deployment will amplify data needs, favoring its scalable, AI-native approach amid competition from general data platforms. Influence may grow through acquisitions by robotics giants or ecosystem dominance, unlocking faster innovation. As a seed-stage leader from AI2, it embodies the shift from data drudgery to AI acceleration—poised to propel robots from labs to ubiquity.[5][7]
