Vision Research Team Contact

Smarter Robots

Inspired by Nature

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Vision

Where biology meets machine intelligence

By harnessing millions of years of evolution, we have designed our model for true intelligence that is inspired by nature.

3.8Byears of R&D by nature
∞blueprints to learn from
1mission: smarter robots

Introducing

digitalised biological intelligence for robots

Our Model

  • Requires less data
  • Can work on any robot
  • Can be deployed on the edge
  • Keeps learning through experience
  • Can handle uncertainty

Others Model

  • 10M+ demonstrations to reach baseline performance
  • Weeks of retraining to learn a new task
  • Datacenter GPUs drawing kilowatts
  • 200–500 ms round trip to the cloud per decision
  • Success rates collapse outside the lab

Our Model

  • 100× less data, baseline in ~100K demonstrations
  • New tasks picked up in under an hour
  • Full autonomy on a 15 W edge module
  • <10 ms decisions, fully on-device
  • 87% task success in environments it has never seen

Use Cases

  • Manufacturing

    Assembly lines that retool themselves, cutting changeover time by 60% and scrap rates by a third.

  • Fulfilment

    Pick-and-pack across millions of SKUs, learning new items on the first touch instead of the thousandth.

  • Mining (future)

    Autonomous machines that keep working where GPS, light, and connectivity end.

  • Agriculture (future)

    Per-plant care at field scale: less water, fewer chemicals, higher yield.

  • Construction (future)

    Robots that take on the dull and dangerous work on sites that change shape every day.

Contact

Let's build smarter robots

Partnerships, research collaborations, or just curious. We'd love to hear from you.

info@omnibio.xyz
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“Artificial intelligence is dead,
but neural intelligence is live.”

David Yacoub