# Lato

**Canonical:** https://apis.io/providers/lato/  
**Website:** https://www.latolabs.io/  
**APIs profiled:** 0

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.

## Kin Score — 13.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+1.1 from 12.3).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 2.6 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | yes |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Lato Domain Security** — TLSv1.3 · HSTS · DMARC
- **Lato Vulnerability Disclosure** — Hackerone · security.txt · contact published

## Tags

Company, Artificial Intelligence, Agents, Market Research, Due Diligence, Investment, Venture Capital, Private Equity, Simulation, Voice

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/lato/). Scores are computed from the provider's own public artifacts under a published rubric.