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VDF AI Networks lets you describe what you want to achieve — and turns your goal into a multi-agent workflow. It automatically decomposes tasks and orchestrates the right agents, tools and models for each step, with retries, fallbacks and full audit trails. Every run generates feedback, helping Networks continuously improve routing, tool selection and planning. Track cost, latency, energy for every run. Deploy in the cloud, hybrid, or 100% on-prem — with your data staying on your infrastructure.
@suha_selcuk awesome
@caner4 Thank you
@suha_selcuk Super clean approach to AI orchestration. I’m especially impressed by how Networks get smarter over time with routing and planning, without constant manual updates. Combining that with full audit trails and on-prem support directly addresses the gaps we see in production AI systems. Huge congrats on going live — rooting for VDF AI Networks ...
Thanks @yakup_senates1 really appreciate this. That combination is exactly what we’re aiming for: systems that can improve their routing and planning over time, while still remaining auditable and fully controllable in production.
For us, learning is only useful if enterprises can trust and govern it. Thanks a lot for the support!
Love the vision here! The ability to simply describe a goal and have the network orchestrate the right models and tools while continuously improving from feedback is exactly what the AI space needs right now. Doing all of this with full data privacy via on-premise deployment is a huge win. Great work!
Thanks @fatih_bayar The goal is exactly that: let users focus on the outcome, while the network handles the complexity behind the scenes, choosing the right models, agents, and tools, then improving from each run.
And keeping that intelligence fully deployable on-prem is a big part of what we’re building for enterprise use. Thanks for the support!
Excited to see VDF AI Networks live on Product Hunt!
Building complex AI workflows shouldn’t mean manually connecting every step. Looking forward to seeing what people build with Networks!
AI agents that learn together and improve with every single run could truly be a major leap forward for autonomous systems. Collaborative intelligence feels like the natural next step for AI. Congrats on the launch, team! Looking forward to seeing how this evolves!
@murat_vdf Thanks Murat — that’s exactly the direction we’re exploring. The interesting part for us is not just having multiple agents collaborate, but enabling the network to learn from previous runs and improve how it plans, routes, and executes over time.
Still early, but we believe this kind of shared learning can make agentic systems much more useful in real-world environments. Really appreciate the support!