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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Turintech the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Turintech scores 17.5/100 (emerging), with a separate agent-readiness read of 10/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Turintech
Each block below is one kind of artifact we hold for Turintech. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Turintech — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/turintech · machine-readable index on apis.io