Lato

Lato (LATO Labs) is a San Francisco company building an agent-native research and simulation platform for investors. Its agents source and conduct hundreds of voice interviews with verified domain experts and customers in any language, each returned with a recording, transcript and thematic analysis, then combine those interviews with thousands of documents from public sources and a fund's own proprietary knowledge into a single commercial study. The study becomes a live simulation of the market that analysts can question and run scenarios against to predict where a market is headed. Investors use Lato for commercial due diligence, expert interviews, market sizing, competitive mapping, customer interviews, pricing studies, deal sourcing, inbound screening and portfolio value creation, compressing research that traditionally costs hundreds of thousands of dollars and takes weeks into hours. The product integrates with the tools investment teams already run on, including Outlook, SharePoint, Gmail, Google Drive, Slack, Teams, Excel, Affinity, Attio, Harmonic and Granola. Lato was founded by Tymek Staniszewski (CEO) and Tien Chu (CTO), is backed by Y Combinator (Summer 2026), and builds on Anthropic, OpenAI and ElevenLabs. As of this profile Lato publishes no public developer API, documentation or SDKs; the company surface is captured here for discovery and the repository will be re-enriched when a developer program appears.

Lato is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Agents, Market Research, and Due Diligence.

Lato’s developer surface includes support and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub

13.2/100 minimal ▬ flat Agent 7/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyArtificial IntelligenceAgentsMarket ResearchDue DiligenceInvestmentVenture CapitalPrivate EquitySimulationVoice

Kin Score

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

Composite quality — 13.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.9 / 20

Commercial Clarity 4.2 / 20

Operational Transparency 1.4 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 7/100 · 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 4 / 4

Consent & Bot Identity 3 / 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/lato: 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

Demo

Demo

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Access & Security 4

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

LinkedIn

Other 1

Properties that don't map to a standard resource type

CompanyProfile

CompanyProfile

Source (apis.yml)

aid: lato
name: Lato
description: Lato (LATO Labs) is a San Francisco company building an agent-native research and simulation platform for investors.
  Its agents source and conduct hundreds of voice interviews with verified domain experts and customers in any language, each
  returned with a recording, transcript and thematic analysis, then combine those interviews with thousands of documents from
  public sources and a fund's own proprietary knowledge into a single commercial study. The study becomes a live simulation
  of the market that analysts can question and run scenarios against to predict where a market is headed. Investors use Lato
  for commercial due diligence, expert interviews, market sizing, competitive mapping, customer interviews, pricing studies,
  deal sourcing, inbound screening and portfolio value creation, compressing research that traditionally costs hundreds of
  thousands of dollars and takes weeks into hours. The product integrates with the tools investment teams already run on,
  including Outlook, SharePoint, Gmail, Google Drive, Slack, Teams, Excel, Affinity, Attio, Harmonic and Granola. Lato was
  founded by Tymek Staniszewski (CEO) and Tien Chu (CTO), is backed by Y Combinator (Summer 2026), and builds on Anthropic,
  OpenAI and ElevenLabs. As of this profile Lato publishes no public developer API, documentation or SDKs; the company surface
  is captured here for discovery and the repository will be re-enriched when a developer program appears.
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://latolabs.io/og-image.png
url: https://raw.githubusercontent.com/api-evangelist/lato/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: profile
x-tier-reason: researched-no-public-api
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Agents
- Market Research
- Due Diligence
- Investment
- Venture Capital
- Private Equity
- Simulation
- Voice
apis: []
common:
- type: Website
  url: https://www.latolabs.io/
- type: PrivacyPolicy
  url: https://www.latolabs.io/privacy
- type: TermsOfService
  url: https://www.latolabs.io/terms
- type: Support
  url: https://www.latolabs.io/contact
- type: Demo
  url: https://www.latolabs.io/book
- type: LinkedIn
  url: https://linkedin.com/company/latoio
- type: CompanyProfile
  name: Y Combinator company profile
  url: https://www.ycombinator.com/companies/lato
- type: SecurityTxt
  url: well-known/lato-security.txt
- type: WellKnown
  url: well-known/lato-well-known.yml
- type: VulnerabilityDisclosure
  url: security/lato-vulnerability-disclosure.yml
- type: Security
  url: https://www.latolabs.io/security
- type: DomainSecurity
  url: security/lato-domain-security.yml
- type: LLMsTxt
  url: llms/lato-llms.txt
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