Dynamiq is an enterprise-grade Gen AI platform that empowers AI developers to build and deploy AI agents with watsonx ensuring complete data sovereignty, both on-prem and in the cloud. The platform accelerates time to production by combining intuitive low-code development, advanced LLM fine-tuning, and RAG capabilities.
It enables rapid prototyping of Gen AI solutions, integration with other AI vendors, testing, and deployment, maintaining control and transparency with open-source framework.
- Industries
- Cross Industry
- Banking
- Aerospace and Defense
- Healthcare
- Government, Federal
- Telecommunications
- Computer Services
- Professional Services
- Topics
- AI and ML
- Application development
- Software architecture
- Deployment types
- SaaS
- On-premises
- Languages supported
- English
- Regions and countries supported
- Africa - South Africa, Morocco, Egypt
- Americas - United States of America, Canada
- Asia - United Arab Emirates, Saudi Arabia, Qatar, Oman, Lebanon, Kuwait, Jordan, Israel, Cyprus, Bahrain, India
- Europe - United Kingdom of Great Britain and Northern Ireland, Ukraine, Switzerland, Sweden, Spain, Slovenia, Slovakia, Serbia, San Marino, Romania, Republic of Moldova, Portugal, Poland, Norway, North Macedonia, Netherlands, Montenegro, Monaco, Malta, Luxembourg, Lithuania, Liechtenstein, Latvia, Italy, Ireland, Hungary, Greece, Germany, Gibraltar, France, Finland, Estonia, Denmark, Czechia, Croatia, Bulgaria, Bosnia and Herzegovina, Belgium, Austria, Andorra, Albania, Faroe Islands, Iceland, Isle of Man, Jersey, Svalbard and Jan Mayen Islands, Åland Islands, Holy See, Guernsey
Build, deploy, and test GenAI agents and applications, without the need for a dedicated in-house MLOps team.
Intuitive visual builder with drag&drop functionality and and built-in infrastructure reduces development and deployment time from months to hours.
On-premises deployment ensures full data control, minimizing compliance risks and costs. Kubernetes-based architecture enables hybrid deployments.
Enhanced testing and evaluations for AI agents and applications improve transparency and explainability, lower risks and accelerate time to production
Kubernetes based architecture allows to deploy on premise, in the cloud or in hybrid cloud environments, eg. cloud development & on prem deployment.
Dynamiq open-source agentic framework empowers AI developers with control and transparency. https://github.com/dynamiq-ai/dynamiq
WORKFLOWS: Build GenAI workflows and AI Agents with a low-code visual drag&drop interface to automate tasks and optimize operations at scale.
KNOWLEDGE & RAG: Create custom RAG knowledge bases and deploy vector databases in minutes for faster access to critical data.
AGENT OPS: Develop custom LLM-powered AI agents to solve tasks and integrate them seamlessly with internal APIs.
OBSERVABILITY: Log and trace all interactions and conduct large-scale evaluations to maintain LLM performance and reliability.
GUARDRAILS: Ensure reliable LLM outputs with validators, sensitive content detection, and data leak prevention.
OPEN-SOURCE: Dynamiq Platform is built on open-source agentic framework that empowers enterprise developers with control, transparency.
A look into the scalable, secure and on-premise end-to-end operating platform for building generative AI applications.
This demo presents steps required to build an ReAct (Reason & Act) agent with watsonx leveraging Dynamiq intuitive visual drag&drop builder.
This demo presents steps required to build a multi-agent system with watsonx. Part #2 covers testing and analyzing traces to improve explainability.
Information about the companies and solutions listed in this directory is provided by each company and is not validated by IBM unless otherwise noted.