Innate

Innate

"Your first Personal Robot"

YC F24 startup building teachable general-purpose home robots programmable via code, natural language, and physical demonstrations.

Visit Website

Company Overview

Innate (founded 2024, Palo Alto, CA; YC F24) develops general-purpose personal robots designed to be as easy to program as AI agents. Its first platform, Maurice, is a mobile robot with a trainable arm that combines an onboard AI brain fusing nine models (including GPT, Gemini, Claude, and Llama) for navigation, manipulation, reasoning, and human interaction. Users teach new skills in under 30 minutes via code, system prompts, or physical demonstrations.

The open SDK lets makers build and share custom behaviors. Founders: Axel Peytavin (CEO) and Vignesh Anand (CTO), both former Stanford AI/robotics researchers. Raised $500K seed from Y Combinator.

Capabilities & Activities

Primary type & automation activities this supplier delivers:

Applications & Industries

Product Categories

Products & Solutions

MARS

Partnership & Notable clients

Associating Events

Contact Innate

WEBSITE

https://innate.bot

HEADQUARTERS

876 Chimalus Drive
Palo Alto , California  94303

United States

Company Facts

Founded

2024

Primary Role

Manufacturer

Company Size

-

Primary Region

North America

Annual Sales

-

Funding Stage

-

Funding Total

-

Listed in RobotToday Supplier Discovery. Verified Profile

Related Coverage

Acorn Robot Pioneers Instinct-Based Robot Operation Logic Amid VLA Model Trends

Acorn Robot Pioneers Instinct-Based Robot Operation Logic Amid VLA Model Trends

In early 2026, Acorn Robot diverged from mainstream narratives in embodied intelligence, which focused on VLA (Vision-Language-Action) models. The company, founded by a Tsinghua University mechanical engineering professor and his eight doctoral students, is exploring a unique approach centered on operational instincts. This 'bottom-up' strategy aims to endow robots with inherent operational capabilities through interaction with the physical world, rather than relying on extensive data and large models. This innovative direction is significant as it challenges the conventional 'imitation learning' paradigm. Acorn Robot posits that operational behaviors may stem from innate 'internal expectations' rather than explicit action planning. By embedding these instincts into robots, the company believes they can develop stable operational skills autonomously, without needing to mimic vast amounts of human data. As the industry progresses, attention will be on how Acorn Robot's approach addresses challenges such as data scarcity, real-time execution constraints, and the need for hardware-specific adaptations. No further timeline was disclosed at the time of publication.

Robotics Operational Intelligence Tactile Perception AI Models
Physical AI Landscape: From Digital Intelligence to the Embodied Physical World

Physical AI Landscape: From Digital Intelligence to the Embodied Physical World

A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.

RobotToday Weekly Industry Briefing: March 23  – March 27, 2026

RobotToday Weekly Industry Briefing: March 23 – March 27, 2026

RobotToday's weekly industry briefing for March 21–28, 2026 covers Physical Intelligence's $1B raise, Amazon's Fauna Robotics acquisition, Agile Robots' DeepMind partnership, the launch of Europe's first robotaxi service, DJI's Avata 360 drone, Skydio's $52M Army order, and the latest in humanoid, AMR, and drone technology.