# Atrisa

**Canonical:** https://apis.io/providers/atrisa/  
**Website:** https://atrisa.ai  
**APIs profiled:** 0

Atrisa (formerly Refortifai) is a Y Combinator (P26) startup building AI agents for analog circuit design. The product is a chat-based assistant engineer that lets hardware and analog design teams ask it, in natural language, to create a design, debug a circuit, or run simulations. Atrisa is designed to fit into existing workflows: teams bring their own toolkit, PDKs (process design kits), and design documents, which Atrisa reads, understands, and adopts to produce schematic-level outputs and iterate on analog designs. As an early-stage company it currently ships a hosted web application rather than a public developer API, so this profile captures its identity, domain-security posture, and public surface pending any future API release.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| 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 | 0.0 |
| Access Clarity | 0.0 |

## 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)

- **Atrisa Domain Security** — TLSv1.3

## Tags

Company, Analog Circuit Design, EDA, Semiconductors, AI Agents, Hardware Design, Simulation, Y Combinator

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