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Berkshire Grey website screenshot

Berkshire Grey

Berkshire Grey is a Bedford, Massachusetts-based AI and robotics company that builds integrated pick-and-place, parcel sortation, trailer-unloading, and shuttle-sortation systems for eCommerce fulfillment, retail replenishment, and parcel logistics operations. Its product portfolio is organized around four flagship robotic systems — Core robotic picking system, Dispatch parcel sorter, Scoop trailer unloader, and Stride shuttle sorter — supported by the BG Flex mobile robotic platform and a centralized operating environment that orchestrates fleets of industrial-grade mobile robots for induct, transport, sort, sequence, and fulfill workflows including buy-online-pickup-in-store, curbside, and store replenishment. The company holds 700+ awarded patents (300+ pending) and has deployed solutions with Global-100 retailers and logistics service providers including Walmart, Target, and FedEx, with FedEx expanding from small-parcel sortation into broader AI robotic package-handling capabilities. Berkshire Grey originally went public via SPAC merger with Revolution Acceleration Acquisition Corp in 2021, then entered into a definitive merger agreement with SoftBank Group in 2023 (approximately $375M / $1.40 per share) and is now operated as a private SoftBank portfolio company. Integration with warehouse-management systems is delivered through a proprietary RESTful API surfaced via professional services and a 24/7 remote monitoring and predictive-maintenance support model; the API, BG-OS platform, and any associated SDKs are not publicly documented, and Berkshire Grey does not operate a public developer portal, downloadable SDK, or open-source release for its robotic operating environment.

human only

Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.

Kin Score

API Evangelist profiles Berkshire Grey the way a machine reads it — 3 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Berkshire Grey scores 14.7/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 14.7/100 · minimal
Contract Quality 5.2 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 1.6 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Berkshire Grey

Each block below is one kind of artifact we hold for Berkshire Grey. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Berkshire Grey Context

30 classes · 10 properties

JSON-LD

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Berkshire Grey Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Berkshire Grey Trust Center

SOC 2, GDPR

SECURITY

Resources

Every other property we hold for Berkshire Grey — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Learn 1

Tutorials, courses, talks, and written guidance

Operate 2

Status, limits, changes, and where to get help

← All providers · Data indexed from github.com/api-evangelist/berkshire-grey · machine-readable index on apis.io