Daice Labs

The Problem The question of this era isn't how to build. It's what to build—and why do it alone? AI systems shine on benchmarks but break in the wild—brittle, costly to retrain, hard to audit, and slow to adapt. The people building them own less of the value than ever. The need: hybrid paradigms that integrate frontier models into systems that improve over time, generalize reliably, and explain decisions—with distributed ownership built in. Our Approach Founded by MIT CSAIL scientists, we combine research and product innovation to build hybrid AI systems—composite architectures that are auditable, governable, and adaptive by design. Our Product As software becomes more accessible, the frontier shifts to what's harder to replicate: systems strategy, adaptive AI, deep collaboration, and governed context. The platform where human teams supervise, co-build, and co-own long-horizon outcomes—products, discoveries, and innovations. Shared context, sandboxed execution, role-based vertica