Lightberry website screenshot

Lightberry

Lightberry is a San Francisco robotics software company (Y Combinator Fall 2025) that builds conversational AI "personality" software for humanoid and quadruped robots. Its platform lets a robot listen, speak, see its surroundings, and act on natural-language instruction without the owner writing any code, emphasizing emotional intelligence, contextual awareness, and autonomy rather than a simple speech-to-text voice pipeline. Lightberry ships pre-installed on robots sold through its partnership with Unitree, and the company runs a manufacturer-compatibility program with robot makers including Fourier, Booster Robotics, and High Torque. Its published documentation today covers device setup (power-on, WiFi provisioning, starting a conversation) plus an MCP architecture note describing a Model Context Protocol server that routes tool calls to individual Lightberry devices, which each expose a REST endpoint. There is no public developer portal, API reference, SDK, or OpenAPI definition at this time.

Lightberry is profiled on the APIs.io network. Tagged areas include Company, Robotics, Artificial Intelligence, Conversational AI, and Voice.

Lightberry’s developer surface includes documentation, getting-started guide, support, YouTube channel, and 5 more developer resources.

11.0/100 emerging ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs 1 MCP Servers
CompanyRoboticsArtificial IntelligenceConversational AIVoiceHardwareMCPAgentsY Combinator

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/lightberry: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Security Posture 1

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

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

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

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: lightberry
name: Lightberry
description: Lightberry is a San Francisco robotics software company (Y Combinator Fall 2025) that builds conversational AI
  "personality" software for humanoid and quadruped robots. Its platform lets a robot listen, speak, see its surroundings,
  and act on natural-language instruction without the owner writing any code, emphasizing emotional intelligence, contextual
  awareness, and autonomy rather than a simple speech-to-text voice pipeline. Lightberry ships pre-installed on robots sold
  through its partnership with Unitree, and the company runs a manufacturer-compatibility program with robot makers including
  Fourier, Booster Robotics, and High Torque. Its published documentation today covers device setup (power-on, WiFi provisioning,
  starting a conversation) plus an MCP architecture note describing a Model Context Protocol server that routes tool calls
  to individual Lightberry devices, which each expose a REST endpoint. There is no public developer portal, API reference,
  SDK, or OpenAPI definition at this time.
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://lightberry.com/assets/images/share.jpg
url: https://raw.githubusercontent.com/api-evangelist/lightberry/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-yc-batch: Fall 2025
x-founded: '2025'
x-location: San Francisco, CA
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Robotics
- Artificial Intelligence
- Conversational AI
- Voice
- Hardware
- MCP
- Agents
- Y Combinator
tags_raw:
- Company
- Robotics
- Artificial Intelligence
- Conversational AI
- Voice
- Hardware
- Model Context Protocol
- Agents
- Y Combinator
apis: []
common:
- type: MCPServer
  url: mcp/lightberry-mcp.yml
- url: https://lightberry.com
  type: Website
- url: https://docs.lightberry.com
  type: Documentation
- url: https://docs.lightberry.com
  type: GettingStarted
- url: mailto:hello@lightberry.com
  type: Support
- url: https://x.com/lightberry
  type: Twitter
- url: https://youtube.com/@lightberryinc
  type: Youtube
- url: llms/lightberry-llms.txt
  type: LLMsTxt
- url: security/lightberry-domain-security.yml
  type: DomainSecurity
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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