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 6 more developer resources.

🌐 Visit website 📡 Source on GitHub
17.5/100 emerging ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
0 APIs
CompanyArtificial IntelligenceMachine LearningCode OptimizationDeveloper ToolsDevOpsLarge Language ModelsAgentic AICLI

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 17.5/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 7.4 / 20
Commercial Clarity 2.6 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 10/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/turintech: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

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 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: turintech
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  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: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Code Optimization
- Developer Tools
- DevOps
- Large Language Models
- Agentic AI
- CLI
apis: []
common:
- 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