Turintech

TurinTech AI builds Artemis, a code and AI optimization platform that searches configuration spaces across models, runtime, hardware, and source code to make production AI systems and software faster, cheaper, and more reliable without changing the existing stack. Artemis spans AI inference, agentic software, latency-critical infrastructure, and planning & scheduling, and is driven through the Artemis CLI, which imports Git repositories, generates and validates AI-optimized code versions (via LLM, agent, or genetic-algorithm methods), runs compile/test/benchmark validation, and opens optimization pull requests. TurinTech also offers evoML for automated machine-learning model building. Access is via the Artemis CLI and platform using an API key (ARTEMIS_API_KEY). The company is backed by Speedinvest.

Turintech is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Code Optimization, and Developer Tools.

Turintech’s developer surface includes documentation, engineering blog, signup flow, CLI, authentication, and 7 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.0/100 emerging ▬ flat Agent 3/100 human only Front door AI 5/6 prominent Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Machine LearningCode OptimizationDeveloper Tools DevOps LLM AI Agents CLI

Kin Score

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

Composite quality — 16.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.9 / 17

Access Clarity 2.2 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.6 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 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 13.2 — up to +17.4 composite points
Operational Transparency scores 2.6 — up to +12.7 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/turintech/apis.yml: open an issue on github.com/api-evangelist/turintech 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
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.

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Turintech Authentication

apiKey · 2 schemes

SECURITY

Turintech Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

CLI

CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: turintech
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/turintech.png
name: Turintech
description: TurinTech AI builds Artemis, a code and AI optimization platform that searches configuration spaces across models,
  runtime, hardware, and source code to make production AI systems and software faster, cheaper, and more reliable without
  changing the existing stack. Artemis spans AI inference, agentic software, latency-critical infrastructure, and planning
  & scheduling, and is driven through the Artemis CLI, which imports Git repositories, generates and validates AI-optimized
  code versions (via LLM, agent, or genetic-algorithm methods), runs compile/test/benchmark validation, and opens optimization
  pull requests. TurinTech also offers evoML for automated machine-learning model building. Access is via the Artemis CLI
  and platform using an API key (ARTEMIS_API_KEY). The company is backed by Speedinvest.
url: https://raw.githubusercontent.com/api-evangelist/turintech/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- speedinvest
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
x-docs-hosting: github-pages
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Code Optimization
- Developer Tools
- DevOps
- LLM
- AI Agents
- CLI
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Code Optimization
- Developer Tools
- DevOps
- Large Language Models
- Agentic AI
- CLI
- Machine-Learning
apis: []
common:
- url: https://www.turintech.ai/feed.xml
  type: BlogRSS
- type: Website
  url: https://www.turintech.ai
- type: DeveloperPortal
  url: https://www.turintech.ai/developer
- type: Documentation
  url: https://docs.artemis.turintech.ai
- type: Blog
  url: https://www.turintech.ai/blog
- type: SignUp
  url: https://www.turintech.ai/book-a-demo
- type: GitHubOrganization
  url: https://github.com/turintech
- type: CLI
  url: cli/turintech-cli.yml
- type: Authentication
  url: authentication/turintech-authentication.yml
- type: Conventions
  url: conventions/turintech-conventions.yml
- type: LLMsTxt
  url: llms/turintech-llms.txt
- type: DomainSecurity
  url: security/turintech-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 5
  pass: local-v1

Turintech API — frequently asked questions

How do I authenticate with the Turintech API?

Turintech uses bearer-token authentication (apiKey · 2 schemes). The details are profiled on APIs.io as Turintech Authentication.

Is the Turintech API ready for AI agents?

Turintech has a Kin Score of 16.0 out of 100 (emerging) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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