# Ambi Robotics

**Canonical:** https://apis.io/providers/ambi-robotics/  
**Website:** https://www.ambirobotics.com  
**APIs profiled:** 0

Ambi Robotics is a Berkeley, California AI robotics company building parcel-sortation and induction robots for ecommerce, postal, and logistics workflows. Founded in 2018 as Ambidextrous Laboratories — a spin-out of UC Berkeley's Dex-Net Project led by Ken Goldberg — by Jeff Mahler (CTO), Stephen McKinley, David Gealy, and Matt Matl, with Jim Liefer (ex-Walmart, ex-UPS) as CEO. Its flagship products are AmbiSort A-Series (sort-to-sack small parcel sorting), AmbiSort B-Series (sort-to-gaylord parcel induction for middle-mile and reverse logistics), AmbiStack (mixed-case stacking for inbound and outbound), and AmbiVision (3D dimensioning, OCR, defect detection, and visual quality inspection). All robots run AmbiOS, the company's cloud-native "operating system for physical intelligence," comprising the AI Skill Suite (Sort, Stack, Kit, Pack, Induct apps), the PRIME-1 foundation model trained on millions of real-world operations, AmbiVision perception, AmbiAccess fleet management dashboard with heat maps and remote support, and a Sim2Real training pipeline that compresses model training by up to 10,000x. Ambi Robotics' primary commercial deployment is a $23 million expansion with Pitney Bowes, with AmbiSort A-Series and B-Series systems deployed across Pitney Bowes ecommerce hubs in the US (including the Stockton, CA hub that nearly doubled local-direct-delivery throughput in the 2021 peak holiday season, and middle-mile B-Series systems that sorted more than 3 million parcels within four months of deployment). Ambi Robotics does not publish a public developer API, SDK, or open-source release for AmbiOS, AmbiSort, AmbiStack, or PRIME-1; integration with customer WMS/WES systems is performed by Ambi's solutions team. The company's public GitHub org primarily contains forks of infrastructure tooling (Ray, trimesh, FCL, EIPScanner, tinygltf, rapier, jszmq, CVXPYgen, mongoose-delete) and internal CI/CD workflow utilities — no published API spec, SDK package, or developer documentation.

## Kin Score — 13.5 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 13.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 15.5 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 15.8 |
| 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)

- **Ambi Robotics Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Robotics, AI Robotics, Embodied AI, Parcel Sortation, Parcel Induction, Logistics, Last Mile, Middle Mile, Reverse Logistics, Warehouse Automation, E-Commerce Fulfillment, Postal Automation, Foundation Models, Sim2Real, Computer-Vision, Fleet Management, AmbiOS, AmbiSort, AmbiStack, AmbiVision, PRIME-1, Pitney Bowes, Berkeley, Hardware

---

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