# Tera-ai

**Canonical:** https://apis.io/providers/tera-ai/  
**Website:** https://www.tera-ai.com  
**APIs profiled:** 0

Tera AI is a San Francisco-based robotics AI company (founded 2023, out of stealth March 2025 with $7.8M seed co-led by Felicis and Inovia) that builds the first unified, software-only spatial reasoning stack for camera-based mapping and navigation across air, onroad, offroad, and sea platforms. Its foundation-model approach delivers GPS-denied, manufacturer-interoperable autonomy that runs on a robot's existing camera and onboard GPU. Tera publishes research (TARDIS/STRIDE) and technical field results but does not currently expose a public developer API, SDK, or documentation portal; this profile captures its public web, research, and GitHub surface.

## Kin Score — 8.7 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.7).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Tera Ai Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Robotics, Artificial Intelligence, Autonomous Navigation, Spatial AI, Computer-Vision, Foundation Models, Autonomy

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/tera-ai/). Scores are computed from the provider's own public artifacts under a published rubric.