Mimic®
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Public roadmap

Building the data layer for physical intelligence.

Robotics is moving from programmed behavior to learned behavior. That shift requires large amounts of real human motion. This is our plan for making that data accessible, useful and fairly rewarded.

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Foundation

Live now

Live

Prove the full loop

The first version of Mimic is live on Robinhood Chain. A robotics team can fund a task with ETH, receive human motion footage, review it and pay the contributor in RWA stock.

  • ETH-funded task escrow
  • Phone video submissions
  • Validator review and quality gating
  • Atomic ETH to RWA payouts
  • Public contracts and transaction receipts

Phase 01

Q3 2026

Up next

Prove demand and data quality

Work closely with the first robotics teams, learn which motions are most valuable and make every approved clip immediately useful for research.

  • Onboard initial robotics design partners
  • Standard task templates and capture instructions
  • Quality rubrics for manipulation footage
  • Contributor history and reputation
  • Dataset export with consent and provenance

Phase 02

Q4 2026

Planned

Fund the next stage

Turn early usage into repeatable pilots, then raise capital from investors who understand robotics, data infrastructure and programmable real-world assets.

  • Launch three to five paid robotics pilots
  • Begin pre-seed or seed fundraising
  • Apply for relevant ecosystem and research grants
  • Hire a founding robotics or data engineer
  • Expand review beyond a single validator

Phase 03

H1 2027

Planned

Build the data infrastructure

Move from individual clips to a dependable data pipeline that robotics teams can integrate directly into their training workflows.

  • Task creation and dataset delivery API
  • Structured labels and motion metadata
  • Enterprise workspaces and budget controls
  • Automated capture-quality checks
  • Recurring collection programs

Phase 04

H2 2027

Planned

Scale the network

Grow both sides of the marketplace while expanding the kinds of physical intelligence data that contributors can capture.

  • Global contributor onboarding
  • Multi-view and sensor-assisted capture
  • Specialist cohorts for high-value tasks
  • More RWA payout choices
  • A distributed, auditable review network

Funding strategy

Capital follows proof.

We are not raising around a slide deck alone. The goal is to build evidence that the market works, then use the right type of capital at each stage.

01

Evidence first

Prove that robotics teams return, contributors deliver usable footage and approved tasks settle reliably.

02

Non-dilutive capital

Pursue ecosystem grants and robotics research programs that accelerate product and pilot work without unnecessary dilution.

03

Strategic angels

Bring in operators from robotics, data infrastructure and RWA who can open doors as well as provide capital.

04

Institutional round

Raise from deep-tech and marketplace investors once paid pilots, retention and data quality establish a repeatable model.

What we measure

Progress means usage, not announcements.

Demand

Repeat teams

Do robotics teams return and fund new tasks after receiving their first dataset?

Supply

Approved clips

Can contributors consistently deliver clear, diverse and usable human motion?

Quality

Review pass rate

Are capture instructions and incentives producing training-grade footage?

Settlement

Payout reliability

Do escrow, swaps and RWA payouts complete quickly and without intervention?

Build with us

The roadmap gets better with real robotics problems.

If you build robots, collect embodied AI data, invest in deep tech or want to help shape the contributor network, we want to hear from you.

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Roadmap targets reflect our current direction and may change as we learn from contributors, robotics teams and research partners.