Reasoning you can audit
Models expose their chain of thought, so reviewers can trace how an answer was reached before it reaches a customer.
Reasoning models for business teams
Reasoning models you can deploy, audit and afford.
DeepSeek's reasoning and chat models, delivered for business: a documented, OpenAI-compatible API, private deployment, and engineers who reply in your language.
- Open-weight models
- OpenAI-compatible API
- VPC and on-premise
- Support in 3 languages
01 — Overview
One model family, three ways to run it
Reasoning, chat and code generation from the same family. Choose the deployment that matches your data policy; the API stays identical.
Drop-in API
OpenAI-compatible requests, streaming responses and predictable JSON output. Keep your SDK and client code as they are.
Deploy where you need
Shared cloud, a dedicated VPC, or on-premise on your own GPUs. Weights and inference stay inside the perimeter you choose.
Spend you can forecast
Per-token pricing, prompt caching and hard monthly caps per project, so finance meets no surprises at quarter end.
02 — Use cases
Where reasoning earns its place
Four jobs buyers bring to us most often. Each starts with your own prompts, not a canned demo.
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01
Software delivery
Review pull requests, explain unfamiliar legacy modules and generate tests from repository context.
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02
Contract and document review
Pull clauses, deadlines and obligations out of long files and return structured, citable fields.
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03
Multilingual customer support
Draft and translate replies in English, Chinese and Spanish without losing technical accuracy.
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04
Back-office agents
Chain tool calls for research, reconciliation and reporting, with a readable trace of every run.
03 — How it works
From first call to production in four steps
01
Scope
A 30-minute call to fix the task, the evaluation set and the data terms.
02
Evaluate
Sandbox credentials let your engineers test the exact prompts you intend to ship.
03
Integrate
Connect over the API, or we deploy the weights inside your own environment.
04
Run
Production keys, spend caps and an engineer you can email directly.
04 — FAQ
Questions buyers actually ask
Can we keep data inside our own infrastructure?
Yes. Run the models on your own GPUs on-premise, or in a VPC you control. Cloud hosting is an option, not a requirement.
How is this different from a consumer chatbot?
You get the interface, the terms and the support: configurable context, structured output, logs you own, and an engineer accountable for the integration.
What does a pilot involve?
One scoping call, sandbox access, then an evaluation on your own prompts. If the results do not fit the task, we say so before you commit budget.
How is pricing calculated?
Usage-based per token, invoiced monthly, with fixed-fee options for private deployments. We quote after the scoping call.
05 — Next step
Start with a 30-minute technical briefing
Tell us the task, the volume and your data constraints. You get a written deployment plan, not a sales deck.