Build, deploy and monitor on-premise GenAI applications to solve business needs, drive revenue and boost competitiveness - all in one platform
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Build, deploy and monitor on-premise GenAI applications to solve business needs, drive revenue and boost competitiveness - all in one platform
very easy to start, intuitive platform for high stake GenAI use cases!
Dynamiq
Hey there Product Hunt! 👋 I’m Maria-Elena, Chief of Staff at Dynamiq.
We’re back with something we’re incredibly excited about - our biggest step yet toward making agentic AI truly accessible to teams everywhere.
Over the past year, we’ve worked with fast-moving startups and global enterprises alike, all facing the same challenge: building GenAI apps is hard. Especially when it involves stitching together agents, LLMs, RAG pipelines, observability tools, and deployment workflows.
⚡ That’s why we built Dynamiq - an all-in-one platform for building, testing, and deploying agentic AI applications fast. No patchwork. No hidden costs. No dev armies required.
Here’s what you get:
🔹 Multi-agent orchestration with drag-and-drop workflows
🔹 Customizable, built-in chat UI (so you can deploy without frontend work)
🔹 Native observability and evaluation tools to track performance
🔹 Flexible deployments (cloud, on-prem, hybrid - you choose)
This launch is all about helping businesses bring production-ready AI agents to life, quickly and securely.
Would love to hear your thoughts, feedback, and ideas - and see what you’ll build with Dynamiq! 💬
Maria-Elena
Chief of Staff @ Dynamiq
Does Dynamiq’s observability layer allow real-time debugging of agent interactions and decision paths during live workflows? The built-in visibility sounds like a powerful feature, especially for teams experimenting with complex multi-agent logic.
Dynamiq
Hi@shahriardgm! Yes, exactly! Our observability layer gives you real-time visibility into each step your agents take. This includes tool calls, message exchanges, decisions made, and where things might go off track. It’s especially useful when experimenting with multi-agent setups since you can debug, iterate, and fine-tune on the fly without guessing what went wrong. We built it to make the whole process a lot more transparent (and a lot less frustrating)! ☺️
How will you help users who need more advanced features or want to fully customize the chat UI, since no-code platforms and built-in designs can be limiting for these needs?
Dynamiq
Great question @vouchy! While Dynamiq offers out-of-the-box UI components for quick deployment, it’s actually a low-code platform under the hood. Each node in your workflow is fully customizable with Python, so you’re never boxed in. And if you prefer building your own frontend, you can interact with the deployed agents via API endpoints giving you complete freedom to design and embed the experience however you like!