ÉTÈ Spatial
ÉTÈ provides a spatial governance and operational interface for autonomous, self-reconfiguring physical systems, using geometric cryptography to prove that safety boundaries hold without revealing private position data. The platform combines a design-time studio, a deterministic runtime gate, and a proof engine that signs state verifications post-quantum. A working prototype demonstrates zero-knowledge proofs computed in-browser, with selective disclosure via Merkle paths.
- Robotics
- Regulatory & Compliance Technology
- Software Only
- Artificial Intelligence
- Government Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Robotics teams currently stitch together planning, safety rules, and after-the-fact logs, creating a deployment gap where AI can plan an action that violates a safety boundary. Infrastructure needs accountable decisions, but existing approaches are hard to verify or reuse, leaving critical systems without transparent oversight.
Solution
ÉTÈ is an independent institute for computational governance that provides a single assurance stack with two operating layers. The design-time ÉTÈ Studio lets teams import trajectories and site geometry, define policy boundaries, replay scenarios, and compare baseline versus governed behavior. The run-time ÉTÈ Runtime acts as a deterministic gate between a probabilistic planner and physical execution, with hard constraints that remain non-overridable. This system transforms sensor signal, law, and city infrastructure into interactive 3D terrain, allowing users to physically walk through data. Trust is redefined as a geometric property—a distance metric, boundary check, or topological invariant—certified live through computational methods. The platform operates at prototype stage with TRL 4-5, providing documented live endpoints and C2PA-shaped evidence manifests for auditability.
Target Audience
Primary customers are organizations deploying physical AI systems, including robotics teams, city administrators, and infrastructure operators who need accountable decisions and verifiable safety governance.
Features
- Policy-to-geometry compiler that turns site rules into testable spatial policy
- Counterfactual Policy Diff for comparing baseline versus governed behavior
- Deterministic runtime gate with ALLOW / HOLD / REROUTE and DEGRADED / REJECT / EMERGENCY actions
- Uncertainty-aware envelopes that maintain human-priority boundaries
- Replayable decision record for audit-ready evidence
- Interactive 3D terrain visualization of radio-frequency spectrum, latency, and telemetry data
- C2PA-shaped evidence manifests labeling and certifying data snapshots
- Legend-based visual encoding system distinguishing planes (data), boxes (infrastructure), pyramids (gateways), rods (pipelines), nodes (datastores), and envelopes (policy)
- Geometric cryptography using Merkle commitments and Noir zero-knowledge circuits for selective disclosure
- Post-quantum signed proof engine for state verification