You decide where Artemis runs.

Managed by us, in your own cloud account, in your data center, on an isolated network, or on a single machine. Artemis fits into the environment you already use and runs only the models you approve.

Choose the deployment that fits your constraints

Whichever you choose, your code and benchmarks stay within that deployment boundary.

  • Managed SaaS

    We host it

    The fastest path to a first result. No infrastructure to provision, with supported models available immediately. Your code runs in our cloud.

    Best for

    Evaluations, and teams without residency requirements

  • Private VPC

    Your cloud account

    Runs in your tenancy, using the networking, IAM and logging you already operate. Available through the Azure Marketplace, so you can use existing cloud commitments.

    Best for

    Cloud-first enterprises with a marketplace route already open

  • On-premise

    Your data center

    We deliver signed container images. Your team deploys them on your own infrastructure and controls when they run. TurinTech has no access to the environment.

    Best for

    Banks, defense, health and public sector. Anywhere code cannot leave

  • Air-gapped

    Your isolated network

    The same images run from a registry you control, such as Nexus, Artifactory or a self-hosted registry. No external calls are required. Model choice is limited to what you can host inside the network.

    Best for

    Classified and physically separated networks

  • Local workstation

    One machine

    Runs on an AI PC or DGX-class workstation, using models tuned for that hardware. Code stays on the device it was written on.

    Best for

    Individual engineers, and work that never reaches a shared network

You control your data, your models, and your infrastructure.

Artemis runs where you choose, uses only the models you approve, and keeps the results in your environment.

  • Where your code lives

    Your code stays in the storage and environment you already manage. It doesn't leave your environment, and neither do your results or telemetry.

  • Which models see it

    You choose the models, using your own provider keys or models you host yourself. Artemis doesn't sit between your code and those models.

  • Where it runs

    Your cloud account, your data center, an isolated network, or a single machine. Benchmarks run in the same environment, so results reflect the hardware you actually use.

Artemis
  • Your source code

    never copied out, never trained on

  • Your benchmarks

    run on your hardware, not a proxy for it

  • The models you choose

    your keys, or weights you host

  • Every experiment and result

    including the failures

  • The pull requests

    raised inside your git, at scopes you grant

You control where it runs and what it can access

For every deployment except managed SaaS, your team installs and runs Artemis in your own environment. We don't have access to it afterwards.

Signed container images

Every image is scanned by four security tools before it leaves us. Your team can then scan it again with your own tooling. The second scan is the one that matters.

The access Artemis needs

Repository access is used to raise pull requests, with the permissions you grant. Profilers and observability can be added through MCP when needed. Nothing beyond that.

Your directory, your certificates

Role-based access uses LDAP, so permissions follow the directory you already use. Each profile can use SSL with your own certificate authorities. Admin activity is logged and can be monitored live.

Discover the ROI hiding in your stack

Point Artemis at a system you already run, and see the improvement it finds, validated, before you change a thing.

Book a demo