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 4 more developer resources.

🌐 Visit website 📡 Source on GitHub

11.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyRoboticsArtificial IntelligenceConversational AIVoiceHardwareModel Context ProtocolAgentsY Combinator

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 11.5/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.0 / 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

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/lightberry: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

Youtube

Youtube

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 2

The organization behind the API

Website

Website

Twitter

Twitter

Source (apis.yml)

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.
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: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Robotics
- Artificial Intelligence
- Conversational AI
- Voice
- Hardware
- Model Context Protocol
- Agents
- Y Combinator
apis: []
common:
- 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