Artemis is an AI engineering platform that improves any codebase — modern, legacy, or AI-generated. It reduces technical debt, uncovers bugs and inefficiencies, stabilizes unreliable AI output, and cuts down on cleanup and review cycles that slow teams down. Acting as an intelligence layer above the models, Artemis provides the structure and control needed to keep AI on track so work stays aligned with the intended outcome. It handles everything from simple fixes to deep optimization, improving performance, strengthening code quality, and lowering cloud cost through more efficient software. By offloading manual work and validating every result, Artemis turns the code you have into the code you need.

The Developer Preview is an early access release of the core Artemis workflow. It lets developers try our plan-first experience — including Discovery and Planning, structured Tasks, sandboxed ChangeSets, and repo Scanning — while we continue building out the rest of the platform.

You can join our waitlist. We are rolling out access in waves to ensure a stable experience for everyone. Keep an eye on your inbox—once your spot opens up, you will receive an email with your login details and your starting credit allowance.

Artemis uses a curated set of leading models, including Claude Sonnet 4.5, Gemini 3.0, and GPT 5.0. You can select a model manually or use Auto Mode. In Auto Mode, Artemis analyzes the task size, complexity, and context requirements to pick the model that offers the best balance of speed, cost, and accuracy (e.g., using top-tier models for complex refactors and faster models for simple scans).

Starting bonus: You currently receive an initial $100 in credits when you sign up.

Daily top-up: When your balance drops below $10, we currently top it up to $10 once per day. This is intended to keep you moving without interruptions.

How consumption works: Credits are used based on model tier and task complexity. For most scans, plans, and fix workflows, the allowance is more than enough. Only very large or model-intensive tasks, like scanning very large repos with frontier models, will consume credits more quickly.

As the Developer Preview evolves, we may adjust credit amounts or policies, but we’ll communicate any changes clearly and in advance.

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