# digitalsurgery

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

Digital Surgery (originally Touch Surgery / Kinosis) is a London-based surgical artificial intelligence company backed by Balderton Capital and acquired by Medtronic in 2020, where it now operates as part of Medtronic's Covidien surgical business. It builds the Touch Surgery ecosystem of surgical simulation and training tools and Touch Surgery Enterprise, an AI-powered platform for recording, analyzing, and reviewing surgical video in the operating room. The company does not publish a public developer program or API; digitalsurgery.com now redirects to Medtronic's Digital Surgery product page. This profile remains a network stub awaiting a real developer surface.

## Kin Score — 3.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 3.3).

| 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 |

Regulatory layer — **Health**: 7.5 (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)

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

## Tags

Company, Surgery, Healthcare, Artificial Intelligence, Medical Devices, Surgical Video, Digital Health, Simulation

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