Haga

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Product

Product overview

Ready

What Haga ships: evaluation engagements backed by public methodology.

Haga sells independent evaluation, not a simulation platform, training loop, or robot stack.

Layer What it is
Public posture Methodology, detector definitions / published thresholds, reproducible Lab evidence, limited demos
Product Private evaluation engagements for policies and/or world-model outputs
Conversion Public Lab evidence → inbound → scoped engagement → numeric report

What customers buy

A reproducible diligence-grade report that answers: does this system behave consistently under physical stress, and where does it break?

Deliverables

  • Numeric scores with defined pass/fail thresholds
  • Shown failure cases (not only passes)
  • Episode counts, seeds, variance / confidence intervals
  • Explicit sim-only limitations stated alongside results
  • Optional comparison across policy versions or severity tiers

Motions (today → roadmap)

Motion Pillar Availability
Policy stress evaluation 1 Lift + Stack + PickPlaceCan + Door tiered stress live (n=50×4)
World-model physics QA 2 Checker calibrated; CogVideoX static_hover failure documented
Continuous scoring Both Phase 5 — release-pipeline integration

See Evaluation offering.


Sequencing (deliberate)

  1. Prove policy verification depth (multi-task, multi-tier, failure cases) — artifact that validates fastest
  2. Extend the same adversarial methodology to generative world-model batches with credibility already established
  3. Package as design-partner engagements, then continuous scoring

Launching both pillars as equal “done” claims before either is fully proven would weaken the trust signal. Current state: Phase 1 multi-task (four tasks) and CogVideoX multi-seed generative-failure evidence are live; Phase 3 methodology distribution landed; larger scenario sweeps remain open.

Roadmap: Roadmap digest · Specs: Core specs.


What Haga is not

Wedge reminder: Fast, private, sim-first physics verification for robot policies and generative world-model outputs.

  • Not a world-model builder or robot manufacturer
  • Not a simulation platform (Antioch / Bifrost territory)
  • Not a training-loop optimizer (Sim2Real territory)
  • Not a public leaderboard (RoboArena) or real-hardware substitute (Robocurve) — Haga is the fast pre-check before institutional real-robot evaluation
  • Not free private evaluation (methodology + harness are the trust signal; partner engagements, reports, and comparative data remain commercial)

Trust model

Same pattern as independent security or financial auditors:

  • Inspectable: what was tested, how it was scored, what failed (methodology, published thresholds, Lab metrics, Apache harness)
  • Private: customer artifacts, engagement workflows, partner reports, accumulated comparative data — IP strategy