Bright Machines

Bright Machines is a San Francisco-based software-defined manufacturing company founded in 2018 by Amar Hanspal and Lior Susan that builds a full-stack intelligent automation platform for electronics and AI-infrastructure assembly. Its Microfactory pairs modular Bright Robotic Cells with Brightware, a platform operating system that orchestrates hardware, runs a machine-vision "Smart Skills" perception stack, and provides manufacturing-execution services for work orders, material management and real-time production KPIs. Bright Data, the company's data layer, unifies component, process and enterprise-system data through secure APIs and auditable data flows, and Bright Designer turns product CAD into assembly-ready digital twins using NVIDIA Omniverse on Microsoft Azure. The company has raised roughly $279M from Eclipse, BlackRock, NVIDIA, Microsoft, Jabil and others. All platform and data interfaces are delivered to customers under commercial engagement; Bright Machines publishes no public developer portal, API documentation, SDKs or machine-readable API contracts.

Bright Machines is profiled on the APIs.io network. Tagged areas include Company, Manufacturing, Industrial Automation, Robotics, and Artificial Intelligence.

Bright Machines’ developer surface includes engineering blog, product news, support, and 13 more developer resources.

13.1/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
0 APIs
CompanyManufacturingIndustrial AutomationRoboticsArtificial IntelligenceComputer VisionDigital TwinElectronicsSmart FactorySupply Chain

Kin Score

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scored 2026-08-05 · rubric v0.9.1
Composite quality — 13.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.9 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
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
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/bright-machines: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Bright Machines Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Learn 1

Tutorials, courses, talks, and written guidance

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 5

The organization behind the API

Other 4

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: bright-machines
name: Bright Machines
description: Bright Machines is a San Francisco-based software-defined manufacturing company founded in 2018 by Amar Hanspal
  and Lior Susan that builds a full-stack intelligent automation platform for electronics and AI-infrastructure assembly.
  Its Microfactory pairs modular Bright Robotic Cells with Brightware, a platform operating system that orchestrates hardware,
  runs a machine-vision "Smart Skills" perception stack, and provides manufacturing-execution services for work orders, material
  management and real-time production KPIs. Bright Data, the company's data layer, unifies component, process and enterprise-system
  data through secure APIs and auditable data flows, and Bright Designer turns product CAD into assembly-ready digital twins
  using NVIDIA Omniverse on Microsoft Azure. The company has raised roughly $279M from Eclipse, BlackRock, NVIDIA, Microsoft,
  Jabil and others. All platform and data interfaces are delivered to customers under commercial engagement; Bright Machines
  publishes no public developer portal, API documentation, SDKs or machine-readable API contracts.
url: https://raw.githubusercontent.com/api-evangelist/bright-machines/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment-pass-no-public-api
specificationVersion: '0.20'
created: '2026-08-01'
modified: '2026-08-01'
image: https://avatars.githubusercontent.com/u/49670654?v=4
tags:
- Company
- Manufacturing
- Industrial Automation
- Robotics
- Artificial Intelligence
- Computer Vision
- Digital Twin
- Electronics
- Smart Factory
- Supply Chain
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.brightmachines.com/
- type: About
  url: https://www.brightmachines.com/about/
- type: Platform
  url: https://www.brightmachines.com/platform/
- type: Technology
  url: https://www.brightmachines.com/technology/
- type: Capabilities
  url: https://www.brightmachines.com/capabilities/
- type: Blog
  url: https://www.brightmachines.com/blogs/
- type: News
  url: https://www.brightmachines.com/news/
- type: Videos
  url: https://www.brightmachines.com/videos/
- type: Support
  url: https://www.brightmachines.com/contact-us/
- type: Careers
  url: https://www.brightmachines.com/careers/
- type: TermsOfService
  url: https://www.brightmachines.com/terms-of-use/
- type: PrivacyPolicy
  url: https://www.brightmachines.com/privacy-policy/
- type: GitHubOrganization
  url: https://github.com/brightmachines
- type: SecondaryMarket
  url: https://forgeglobal.com/bright-machines_stock/
- type: DomainSecurity
  url: security/bright-machines-domain-security.yml
- type: LLMsTxt
  url: llms/bright-machines-llms.txt
x-enrichment:
  date: '2026-08-01'
  status: minimal
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