# Hang Ten

**Canonical:** https://apis.io/providers/hang-ten/  
**Website:** https://hangten.ai  
**APIs profiled:** 0

Hang Ten Systems is an enterprise AI services company founded in 2026 and headquartered in Palo Alto, California. Led by co-founder and CEO Dr. Vishal Sikka (formerly CEO of Infosys and a member of SAP's executive board), the company helps large enterprises adopt AI to build, change, and run the software that runs their business at a fraction of the cost and time. Its AI-native delivery model combines agentic code generation, a reusable skills library, and deep domain expertise across SAP migrations, finance, HR, and new product development. Hang Ten raised a $32 million seed round led by Mayfield with strategic investment from Aramco Ventures, and counts Siemens Gamesa Renewable Energy and Fresenius among its early customers.

## Kin Score — 5.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.5).

| 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 | 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)

- **Hang Ten Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Artificial Intelligence, Enterprise Software, AI Services, Consulting, Agentic AI, SAP

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