Facts

• Segment: Foundation Models
• Country: United States
• Founded: 2024
• Website: https://generalistai.com/

Profile sections

• Summary
• Market context
• Facts
• Funding
• Investors
• Context / Market Position
• Events
• Team
• Relationships
• Context tags
• Sources

Summary

Generalist builds AI systems for robots and physical-world tasks. The company trains general-purpose robot intelligence intended to work across different embodiments and environments, with public demonstrations focused on autonomous manipulation and scalable robot learning.

Market context

Generalist matters as embodied-AI infrastructure rather than a single robot OEM, aiming to make reusable manipulation intelligence work across existing hardware. Proprietary embodied foundation models for robots In-house data-collection hardware and training infrastructure No clear evidence that the company is positioning itself primarily as a broad robot OEM; the core company truth is model-and-data infrastructure for physical AI.

• Capability: Foundation models for robot manipulation and dexterity Large-scale real-world robot interaction data collection Cross-task and cross-robot generalization Closed-loop visuomotor control for physical tasks Rap…
• Strategic position: Foundation-model layer for embodied AI rather than a single-application robotics vendor Positioned around scaling robot learning…

Facts

• Website: https://generalistai.com/
• HQ: San Mateo, California, United States
• Founded: 2024
• Segment: Foundation Models
• Known funding rounds: 2

Funding

• 2026-06-04 - growth - $400M - Generalist AI raises $400M at $2B valuation for robotics foundation models - source: in.investing.com
• 2025-03-19 - inception - Generalist discloses inception backing from Boldstart Ventures and NVentures - source: techcrunch.com

Investors

• 8VC - Participant - Unknown - 1 funding event - first seen 2026-06-04
• Bezos Expeditions - Participant - Angel / Individual - 1 funding event - first seen 2026-06-04
• Eric Yuan - Participant - Angel / Individual - 1 funding event - first seen 2026-06-04
• Fei-Fei Li - Participant - Unknown - 1 funding event - first seen 2026-06-04
• Hanabi Capital - Participant - Vc - 1 funding event - first seen 2026-06-04
• Lin Bin - Participant - Angel / Individual - 1 funding event - first seen 2026-06-04
• Nvidia - Participant - Unknown - 1 funding event - first seen 2026-06-04
• Radical Ventures - Lead - Vc - 1 funding event - first seen 2026-06-04
• Union Square Ventures - Participant - Vc - 1 funding event - first seen 2026-06-04
• Boldstart Ventures - Lead - Vc - 1 funding event - first seen 2025-03-19
• NVentures - Participant - Vc - 1 funding event - first seen 2025-03-19

Physical-world AI model company

Generalist develops AI models for the physical world, aiming to support general-purpose robot behavior across industrial and home environments.

• Target environment: Robot learning labs, industrial automation settings, home robotics research and embodied AI development environments.
• Deployment model: Robotics AI model and infrastructure development rather than a complete robot hardware business.
• Customer context: Robot builders, embodied AI researchers, automation developers and companies building general-purpose robotic systems.
• Workflow context: Robot policy learning, physical-world intelligence, task generalization and model development for embodied systems.
• Commercial maturity: Early-stage robotics AI infrastructure company focused on model-level generalization for robots. Scaling depends on real-hardware performance, safety, training data quality, and integration with rob…
• Market position: Embodied AI infrastructure company focused on model-level generalization for robots.
• Adoption constraints: Adoption depends on model performance across hardware, training data quality, safety, deployment tooling and integration with real robot fleets.
• Adjacent context: Adjacent context includes embodied foundation models, robot learning labs, general-purpose robot intelligence and physical AI infrastructure.
• Source confidence: medium

Events

• 2026-06-04 - Funding - Generalist AI raises $400M at $2B valuation for robotics foundation models - Generalist AI raised $400 million in funding at a $2 billion valuation including the new capital.
• 2026-04-02 - Product Launch - Generalist AI releases GEN-1, a general-purpose robotics AI model achieving 99% success rates on physical tasks - Generalist introduced GEN-1 as its latest milestone in scaling robot learni…
• 2026-03-24 - Demonstration - Generalist gives first public live demo of GEN-0 at NVIDIA GTC - Generalist said its GEN-0 model ran in its first public live demo during NVIDIA GTC on a new mobile-manipulation system built…
• 2026-01-29 - Capability - Generalist publishes physical commonsense research update - Generalist published a research update arguing that large-scale physical interaction data was yielding emergent physical commonsense…
• 2025-11-04 - Product Launch - Generalist introduces GEN-0 embodied foundation model - Generalist introduced GEN-0 as a new class of embodied foundation model trained directly on high-fidelity physical interaction data.
• 2025-09-24 - Capability - Generalist shows one-shot Lego assembly with end-to-end visuomotor control - Generalist published a one-shot assembly result in which a robot observes a Lego structure and then builds a copy wi…
• 2025-06-17 - Capability - Generalist publishes research preview of autonomous dexterous manipulation system - Generalist shared its first public research preview showing fully autonomous end-to-end models controlling ro…
• 2025-03-19 - Funding - Generalist discloses inception backing from Boldstart Ventures and NVentures - TechCrunch reported that Generalist had already raised an inception-stage round led by Boldstart Ventures, with NVent…

Team

• Pete Florence - Co-Founder and CEO
• Andy Zeng - Co-founder
• Andrew Barry - Co-founder / CTO

Relationships

• investor - Boldstart Ventures is listed as an investor or backer of Generalist.
• investor - NVentures is listed as an investor or backer of Generalist.

Context tags

• Robot model supply chain - Customer Environment
• Embodied foundation model developer - Peer Group
• Dexterous robot policy learning - Workflow
• Embodied AI model layer - Stack Layer