Covariant

https://covariant.ai/

Pieter Abbeel / Peter Chen-founded robotics FM company — built RFM-1 (Robotics Foundation Model, Mar 2024) for warehouse pick-and-place. Acqui-hired by Amazon Aug-2024 (founders + 25% of team to Amazon Robotics); Covariant remains operating as licensee. The first major robotics-FM acquisition.

At a glance

Type
Robotics foundation-model company (warehouse pick-and-place) — acqui-hired by Amazon Aug 2024
Tier
T2
Created
2017 (founded)
Latest release
RFM-1 (Mar 2024)
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
Enterprise; per-robot / per-pick fees
Funding
$222M total raised — $80M Series C 2021 (Index + Radical); Amazon acqui-hire 2024 reported $1.5B-equivalent licensing-fee

Taxonomy

storage
weight
retrieval
parametric-recall
persistence
parametric-permanent
update
agent-controlled
unit
trajectory
governance
opaque
conflict
training-time

When to use

Optimised for: Universal warehouse picking via FM

Anti-fit: Warehouse-pick-and-place only; not for humanoid or autonomous-driving

Pros & cons

Pros

Production-validated robotics FM; warehouse-scale customer base; Amazon validation.

Cons

Acqui-hire diluted team (founders to Amazon); narrow scope (warehouse); closed weights.

Claims & capabilities

RFM-1 announced Mar-2024 — 8B-param robotics FM; Amazon acqui-hire Aug-2024

Technical surface

API surface
Proprietary robot-control API
Backend storage
Customer trajectory data on Covariant + customer infra
Deployment
On-prem (warehouse) + cloud hybrid
Embedding model
not applicable — not a memory product
Multi-tenancy
Per-customer deployment
MCP
not applicable — wrong section
A2A
not applicable — wrong section
OpenTelemetry
searched not found

Similar systems

Other robotics foundation models & agent stacks in the catalog, ranked by inbound references.

  • Google DeepMind Gemini Robotics T1

    Google DeepMind's Gemini Robotics + Gemini Robotics-ER (Embodied Reasoning) released Mar-2025. VLA models built on Gemini 2.0 backbone. Reference platform: Apptronik Apollo. The DeepMind line of robotics-FM, descendant of earlier RT-1 / RT-2 / RT-X work.

  • Physical Intelligence (π) T1

    Founded 2024 by Sergey Levine (UC Berkeley) and Karol Hausman + others (ex-Google Brain Robotics). Building general-purpose robot foundation models (π0 released Oct-2024; π0.5 in 2025) trained on cross-embodiment robot trajectories. Raised $400M Series A (Nov-2024; Jeff Bezos, OpenAI, Thrive, Lux) at $2.4B val.

  • 1X Technologies T2

    Norway / US humanoid robot company — Eve (wheeled bimanual) + Neo (legged humanoid, consumer-targeted, late 2025 / 2026 launch). Raised $100M Series B (Jan-2024, EQT + OpenAI Startup Fund); $40M Series A (Mar-2023, OpenAI lead). Distinguishing feature: consumer-home positioning rather than industrial.

  • Agility Robotics T2

    Oregon-based humanoid maker; Digit is in production at GXO Logistics warehouses since Sep-2024 — claimed first humanoid in commercial service in the US. Spinout of Oregon State University. $400M+ raised (Amazon Industrial Innovation Fund participant).

  • Apptronik T2

    Apollo humanoid maker, spun out of University of Texas Human Centered Robotics Lab. Raised $350M Series A (Feb-2025; B Capital + Capital Factory); Mercedes-Benz manufacturing partner (Mar 2024). Partnered with Google DeepMind on Gemini Robotics (Mar 2025) — Apollo is the headline reference platform for Gemini Robotics.

  • Collaborative Robotics T3

    Founded 2022 by Brad Porter (ex-Amazon Robotics VP + Scale AI CTO). Stealthier than the humanoid pack; raised $100M Series B Apr-2024 (General Catalyst). Targets warehouse + healthcare collaborative robots.

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.