About Dynamiq
Dynamiq is an operating platform for building, deploying and running generative AI applications and agents inside a company's own infrastructure. It covers the full development cycle in one place: rapid prototyping in a low code builder, testing, deployment, observability and fine tuning of open source language models, with the option to run everything on premise so data never leaves corporate systems.
The platform is aimed at enterprises, particularly in regulated sectors such as financial services, healthcare and the public sector, that want AI agents grounded in their own trusted data. Teams build agents and conversational workflows visually from templates and extend them with Python code where needed. Knowledge and retrieval augmented generation tools centralize company data, guardrails validate model outputs for correctness and reliability, and observability logs every interaction for monitoring, debugging and evaluation. Multi agent orchestration lets complex processes be split into smaller specialized agents, and deployments can run on premise, in the cloud or in hybrid setups. A shared workspace applies company wide guardrails across teams.
Dynamiq does not publish a pricing page. The site offers a free starting option and a free consultation, and enterprise deployments are arranged directly with the vendor, so pricing should be treated as quote based.
The fine tuning feature is positioned around ownership: models trained on private data through the platform remain the customer's property, which matters for organizations that prefer to own their models rather than rent access to them.