# Cignara

**Canonical:** https://apis.io/providers/cignara/  
**Website:** https://cignara.com  
**APIs profiled:** 0

Cignara is an enterprise AI platform that replaces traditional customer support (FAQ bots and IVR menus) with governed voice and chat AI agents that serve, sell, and grow. Its agents handle inbound and outbound phone and chat conversations end to end across 32+ languages, pulling customer context, applying business policy, executing transactions (checkout, scheduling, refunds, retention), and offering a real-time human copilot for support teams. The platform emphasizes in-region data sovereignty and hallucination-free, policy-bound actions grounded in each enterprise's own knowledge base. Founded 2026 (Y Combinator, Spring 2026) in San Francisco; legal entity ShopAdvisor Inc.

## Kin Score — 12.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 38.2 |
| Access Clarity | 38.2 |

## 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)

- **Cignara Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Conversational AI, Customer-Support, Voice Agents, Chat Agents, Contact Center, Enterprise AI, AI Agents

---

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