
Try frontier models without buying GPUs. If it fits your use case, we deploy it on your infrastructure with our gateway. Integrates with base URL and API key.
We do not store what you send or what the model returns
Tokens, latency and inference times to improve the deployment
Everything runs in the United States with compatible endpoints
Validate your use case without buying hardware. We give you access to our gateway with frontier models for 4 days.
The model on your infrastructure. Dedicated gateway under your control, support and optional fine tuning.
Fast Deploy uses fair use to simulate production. If you need a small specialized model we train it inside the same Fast cycle when it applies.
With 50% upfront we provision GPUs and create your workspace in Kronos Platform. Each user generates their own API key.
We help you connect your tools. Two values and you are in: base URL and API key. Compatible with OpenAI and Anthropic.
Unlimited usage to measure integration, quality and reasoning. We simulate a production deployment without buying hardware.
We cut access on day 5 and deliver the usage report with hardware recommendations. If it makes sense, we move to Kronos Deploy on your infrastructure.
A report to decide with data if you move to your infrastructure.
264k context and visible traces.
Need something specific? In Fast we can train a specialized model up to 14B as part of the cycle.
Try these modelsIsolation per workspace. Each one points to its deployment and keeps metrics separate.
Each person creates their own key. Hidden by default, you see it only after a notice.
The same gateway speaks both protocols. Switch SDKs without switching infra.
Streaming responses with no buffering. Built for agents and production chat.
Requests, input and output tokens, latency and time to first token.
In Fast we manage it. In Deploy it runs on your infra under your control.
GPU provisioning, workspace creation in Kronos Platform, onboarding to integrate your stack and 4 days of unlimited use with fair use to measure integration, quality and reasoning.
50% upfront before provisioning and 50% on deployment complete. You can validate without risk and keep commitment on both sides.
We cut access. We deliver a report with input and output tokens, requests, errors, p50 and p90 latency, time to first token and hardware recommendation for Kronos Deploy.
You can use the models freely within fair use that simulates production. If usage breaks that balance we discuss it to keep the deployment stable for everyone.
No. We do not retain prompts or responses. We only keep usage metrics such as tokens, latency and inference times to improve the deployment.
In the United States. We define the data processing and support framework for your case on top of that.
Any tool that speaks OpenAI or Anthropic. We have guides for OpenAI SDK, Claude Code, Codex, opencode, Cursor, Continue, Open WebUI, LangChain, Vercel AI SDK, n8n and more. Base URL with /v1 for OpenAI and without /v1 for Claude Code.
Yes. If your case needs it, we train a specialized model up to 14B inside the Fast Deploy cycle. For larger models we move to Kronos Deploy.
Based on GPUs and topology, gateway license and support. If fine tuning is needed, we add the compute required on our infrastructure.
Yes. The trained model weights and your data are yours from the start.
Workspaces per company, member control, API keys per user hidden by default and shown only with notice, OpenAI and Anthropic compatibility, streaming and metrics per workspace.