Deci AI

Deci AI was a deep-learning development company (founded 2019, Tel Aviv) whose platform helped teams build, optimize, and deploy computer-vision and NLP models in production. Its stack combined the AutoNAC neural-architecture-search engine, the Infery inference runtime, and the open-source SuperGradients PyTorch training library — the home of the YOLO-NAS object-detection architecture. Deci was acquired by NVIDIA in 2024; deci.ai now redirects to NVIDIA and there is no live standalone hosted API or developer console. This API Evangelist profile tracks the company's surviving first-party open-source software surface (SuperGradients and DataGradients on PyPI, published from the Deci-AI GitHub org).

Deci AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision.

🌐 Visit website 📡 Profile data on GitHub

4.3/100 minimal ▬ flat Agent 0/100 human only Heartbeat 17/100 dormant library Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Machine Learning Deep Learning Computer Vision Model Optimization InferenceNeural Architecture SearchMLOps

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 4.3/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 7.1 — up to +18.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/deci-ai/apis.yml: open an issue on github.com/api-evangelist/deci-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	builds-on	26.8 (thin)	-	-
Hugging Face Hub Organisations	builds-on	26.8 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Resources

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

ParentCompany

ParentCompany

Source (apis.yml)

aid: deci-ai
name: Deci AI
description: Deci AI was a deep-learning development company (founded 2019, Tel Aviv) whose platform helped teams build, optimize,
  and deploy computer-vision and NLP models in production. Its stack combined the AutoNAC neural-architecture-search engine,
  the Infery inference runtime, and the open-source SuperGradients PyTorch training library — the home of the YOLO-NAS object-detection
  architecture. Deci was acquired by NVIDIA in 2024; deci.ai now redirects to NVIDIA and there is no live standalone hosted
  API or developer console. This API Evangelist profile tracks the company's surviving first-party open-source software surface
  (SuperGradients and DataGradients on PyPI, published from the Deci-AI GitHub org).
url: https://raw.githubusercontent.com/api-evangelist/deci-ai/refs/heads/main/apis.yml
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - url: https://deci.ai/
    status: 301
    note: declared website redirects to https://www.nvidia.com/en-us/#referrer=deciai — a different registrable domain (deci.ai
      -> nvidia.com), possible rename or acquisition (probed 2026-09-03, roadmap#169)
  generated: '2026-11-06'
  method: derived
image: https://avatars.githubusercontent.com/u/56918593?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
x-status: acquired
x-acquired-by: NVIDIA (2024)
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-21'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Computer Vision
- Model Optimization
- Inference
- Neural Architecture Search
- MLOps
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Computer Vision
- Model Optimization
- Inference
- Neural Architecture Search
- MLOps
- Machine-Learning
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: ParentCompany
  url: https://apis.io/providers/nvidia/
  name: Nvidia
  x-relationship: acquisition
  x-generated-by: nvidia-family:2026-08-21
  x-acquired: 2024
- type: Website
  url: https://deci.ai/
- type: GitHubOrganization
  url: https://github.com/Deci-AI
- type: Packages
  url: https://raw.githubusercontent.com/api-evangelist/deci-ai/refs/heads/main/packages/deci-ai-packages.yml
- type: SDKs
  url: https://raw.githubusercontent.com/api-evangelist/deci-ai/refs/heads/main/packages/deci-ai-packages.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence
x-parent: nvidia
x-relationship: acquisition
x-acquired: 2024

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