# Sagence AI

**Canonical:** https://apis.io/providers/sagence-ai/  
**Website:** https://www.sagence-ai.com/  
**APIs profiled:** 0

Sagence AI is a semiconductor company building analog in-memory computing hardware for AI inference. Its "analog inference machine" combines deep subthreshold computing with multi-level flash memory cells to run large AI models at a fraction of the power and cost of conventional digital GPUs, targeting datacenter and edge workloads such as generative AI, recommendation systems, real-time defect detection, and video security. Backed by Khosla Ventures, the company positions its technology against offerings like Nvidia's B200, claiming large gains in performance-per-watt and cost efficiency for AI inference. Sagence AI is a hardware/silicon company and does not currently publish a developer API, SDK, or public developer portal.

## Kin Score — 6.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.4).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| 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)

- **Sagence Ai Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, AI Inference, Semiconductors, Analog Computing, Hardware, Machine-Learning, Edge AI

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