Lili-o autonomous data foundry running robots in real home environments
Backed By

Fully AutonomousRobo-CentricData Foundry

World's first autonomous data foundry running robots in real home environments. Generating contact-rich, household-specific training data.

Trusted by
  • Antler
  • NVIDIA
  • WhatsLab
  • Metaba
  • Niryo
Our belief

Household

is the final frontier.

Nicolas
Ludovic
Jiseong
Quentin
Antoine
Team Lili-oFounding Members

We believe the next revolution in robotics won't happen in warehouses or factories. It will happen at home.

What made GPT a cultural moment wasn't the technology — it was mass market accessibility. Millions of people using it, every day, in their own lives. Robots will follow the same path.

We don't know which technology will get us there. World Models? VLAs? Something we haven't invented yet? What we know is this: whatever wins, it will need data. Real-world, contact-rich, home environment data. At scale.

To build this foundry, we had to solve a hard problem first: how do you make a robot autonomous on a task without months of engineering? We built the One-Shot method—from hours of demonstration to minutes. From months of engineering to days.

The bottleneck

Physical AI is stuck in the lab.

The “perfect run” flaw: robots are trained only on flawless trajectories, so they collapse on minor real-world variation. Tier 1 Robo-Centric data — with real failure and recovery — is the only path to models that survive outside the lab.

Tier 1
Missing layer

Robo-centric

High-fidelity, cross-embodiment data generated directly by autonomous robots. The layer no one was able to scale. Until now.

Tier 2

Interface-centric

High-fidelity teleoperation and haptic rigs. Fundamentally unscalable — capped at a 1:1 human-to-robot operational hour ratio.

Tier 3

Human-centric & Ego-centric

Cheap and abundant — YouTube, wearables, ego-video. Lacks precision, modality, and contact fidelity. Good for VLMs, not manipulation.

Our solution

Demonstrate once. Run forever.

One-Shot execution turns data generation from a manual engineering bottleneck into an autonomous factory — synchronized, contact-rich Robo-Centric data, around the clock.

  1. 01

    Demonstrate once

    One human demonstration. Multimodal sensing captures the full contact sequence.

  2. 02

    Extract & adapt

    Task logic extracted and adapted to the local environment — no hand-coded waypoints.

  3. 03

    Run forever

    Skills deploy across fleets 24/7. Recovery loops capture real failure and recovery data.

  4. Industry: 1+ hr / skillLili-o: <5 min

From months of engineering to days.

From the blog
Manipulation · Learning·2026. 4. 24.

One-Shot Method: teaching robots new skills under a minute

Our proprietary One-Shot method reduces manipulation primitive creation from over an hour to under five minutes — the unlock that makes the foundry viable at scale.

Read article →
Design partners

We're looking for the teams building household robots.

We're opening the foundry to a small number of design partners — robotics companies and research labs who want early access to household manipulation data and are willing to help shape what we build.

Early data accessCo-designed use casesDirect team accessPriority support
5
design partner slots open
Q3 2025
first data delivery target
Apply to be a design partner →

The household data your robots have been waiting for.

Request access