# Tengo

**Canonical:** https://apis.io/providers/tengo/  
**Website:** https://www.tengo.cc  
**APIs profiled:** 0

Tengo is an AI-powered public procurement platform that helps companies find, evaluate, and respond to public tenders in one place. Founded in 2023 in France by Hugues Renou and Yoann Gauthier, Tengo covers the full tender lifecycle — sourcing and targeting relevant opportunities, drafting and writing proposals with AI, and managing responses and performance analytics — serving SMEs, mid-sized companies, and large corporations. Tengo raised a €3M round led by Point Nine in 2024. It operates a business-user SaaS with a request-a-demo onboarding and no public developer API surface.

## Kin Score — 8.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.4).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 17.1 |
| Access Clarity | 17.1 |

Regulatory layer — **Government & Public Sector**: 18.5 (matched via tags).

## Agent readiness — 0.0 (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 | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

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

## Security (1)

- **Tengo Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Public Procurement, Tenders, GovTech, Artificial Intelligence, Software-as-a-Service, France, Procurement

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