

What is Dynamiq?
Dynamiq is an enterprise GenAI development platform that helps technical teams build custom AI applications in their own infrastructure. It combines a low-code agent builder, knowledge base integration, and LLM fine-tuning tools to help enterprise developers and business analysts reduce AI application development time from months to hours while maintaining complete data control.
What sets Dynamiq apart?
Dynamiq specializes in multi-agent orchestration, allowing enterprise teams to build AI systems where multiple agents work together on complex tasks like financial analysis and customer support. This collaborative agent approach helps developers and analysts create more responsive applications through real-time performance tracking and immediate debugging tools. The platform stands out in the enterprise software market by combining strict data privacy controls with two-click model customization, giving companies full ownership of their data.
Dynamiq Use Cases
- Build AI agents quickly
- Automate back office tasks
- Custom knowledge bases
- Workflow automation
Who uses Dynamiq?
Features and Benefits
- Create and customize AI agents through a visual interface to automate tasks like reporting, customer service, and decision-making.
Low-Code Agent Builder
- Deploy AI applications within your own infrastructure to maintain full control over sensitive data and security protocols.
On-Premise Deployment
- Connect multiple data sources including databases, cloud storage, and APIs into a unified framework for AI applications.
Centralized Data Management
- Track AI application metrics, logs, and quality evaluations through a comprehensive observability dashboard.
Performance Monitoring
- Train and customize open-source language models on private data to create proprietary AI models for specific business needs.
LLM Fine-Tuning
Pricing
Free Trial1 user
1 deployed workflow
1 RAG knowledge base
1,000 workflow executions per month
Community-based customer support
1 user
5 deployed workflows
5 RAG knowledge bases
10,000 workflow executions per month
Email-based customer support
3 users
10 deployed workflows
10 RAG knowledge bases
10 fine-tuned models
3 fine-tuned LLM models
50,000 workflow executions per month
Email-based customer support