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Evermove

evermove.ai builds the "Behavior Layer" for embodied AI—software that enables robots and autonomous systems to coordinate body movements in real time so they interact with humans in socially natural, trustworthy ways. The platform lets behavioral coordination be authored once and bound to any robot body at runtime, with deterministic, inspectable decision-making. It encodes decades of craft from animation, theater, and film, targeting applications in hospitals, factories, and homes.

San Francisco, United States · HQ
Founded 2026510+ followers
  • Artificial Intelligence
  • AI Agents
  • Healthcare Technology
  • Industrial Automation
  • Robotics
  • Software Only
Updated 2 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Embodied AI systems—robots in hospitals, factories, and homes—can generate language, images, and policies, but they cannot decide how a body should behave in real time. As a result, people do not trust them because they move like machines, lacking the social cues and behavioral nuance that make human interaction comfortable and safe.

Solution

evermove.ai provides the Behavior Layer, a new substrate for embodied AI that handles real-time behavioral coordination across the entire body. The platform enables behavior to be authored once and bound to any body at runtime, meaning the same behavioral logic can drive different robot hardware. Decisions are deterministic and inspectable, allowing operators to understand and verify why a robot acted in a certain way. The system encodes decades of craft from animation, theater, and film—fields that have long solved the problem of making characters move believably—to give robots socially appropriate posture, eye contact, and spatial awareness.

Target Audience

Primary customers are developers and operators of embodied AI systems—including robotics companies, hospital networks, factory automation teams, and smart-home product manufacturers—who need to make their machines move and behave in ways humans find trustworthy and natural.

Features

  • Real-time behavioral coordination across the entire robot body, enabling fluid, context-aware movement
  • Behavior authored once and bound to any body at runtime, enabling hardware-agnostic deployment
  • Deterministic and inspectable decision-making, allowing auditability of every action
  • Encoding of movement principles from animation, theater, and film for human-like social behavior in robots
  • Designed to improve trust, safety, and ethics in human-robot interaction across hospital, factory, and home environments
This profile is AI-generated and may contain inaccuracies.