Draiven

We built this because we saw a clear gap: companies have plenty of data, but very few people who can actually extract value from it without friction. Instead of forcing users to learn dashboards or SQL, we let them interact with their data in plain language, directly connected to their systems. What’s new and unique about our launch is the multi-agent contextual architecture. Unlike alternatives that centralize data into lakes and then run generic models on top, our approach brings the AI to the data source, orchestrating specialized agents that understand business context and generate actionable insights with lower cost and higher accuracy. What I’m most proud of is that we managed to turn a very complex problem, bridging enterprise data and generative AI, into a simple, intuitive experience where anyone can ask a business question and immediately get trusted, explainable insights.