# Mipsology

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

Mipsology was a France-based (Palaiseau) AI/ML company founded in 2015 that developed Zebra, a deep-learning inference acceleration software stack for FPGA and adaptive-compute hardware. Zebra let CPU/GPU-trained neural networks run on FPGAs without changing the model, framework, or quantization, targeting high-throughput, low-latency computer-vision inference in the data center and at the edge. Mipsology was backed by Partech and other investors and was acquired by AMD in 2023, where its team and technology were folded into AMD's adaptive-computing (Xilinx) AI inference software. As an independent company Mipsology exposed no public developer API, SDK client library, or developer portal; mipsology.com now 301-redirects to amd.com. This profile is retained as a historical network entry with no active API surface.

## Kin Score — 5.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| 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)

- **Mipsology Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Ai Ml, Artificial Intelligence, Machine-Learning, Deep Learning, Inference, FPGA, Hardware Acceleration, Acquired

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