Eventual is building the generational technology that finally makes simple and reliable multimodal data processing a reality. Our approach is to create the query engine of the future: a system that handles images, video, audio, and text with the same simplicity and reliability that SQL brought to tabular data decades ago.Our engine, Daft, is open source. It liberates engineers from becoming distributed systems experts. They process petabytes of multimodal data with declarative queries that just work, turning months of infrastructure struggle into days of breakthrough application development.On Daft we built Eventual, for teams whose next model is waiting on data. It reads what is inside your footage and turns it into training sets. It also watches the live feed for the failures you can still catch.We are systems and AI veterans who lived through the autonomous vehicle revolution and watched talented teams waste months forcing square pegs into round holes. We saw the same broken pattern everywhere: engineers who could solve the hardest AI problems spending 70% of their time wrestling with infrastructure never designed for their world.So we built the solution we wished had existed. Today, our work processes petabytes daily at companies like Amazon, Mobileye, and CloudKitchens — proving that the multimodal future doesn't have to be built on the broken foundations of the past.The infrastructure layer that holds back AI innovation is finally being rewritten. If you're ready to build on solid ground, we'd love to hear from you.— Sammy, Jay, and the entire Eventual team
