The Problem
The question of this era isn't how to build. It's what to build—and why do it alone? AI systems 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 systems that integrate frontier models, improve and 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—composite architectures that are auditable, governable, and adaptive by design.
 
Our Product 
As software commoditizes, the frontier shifts to systems strategy, adaptive AI, and deep collaboration. The platform where human teams supervise, co-build, and co-own long-horizon outcomes—products, discoveries, and innovations. Shared context, sandboxed execution, verified programs, and a co-ownership layer for governance and attribution.

For select projects, we go further—sponsoring key products and research with full infrastructure, compute and support. Builders keep the majority.

Our Research 
R&D that ships as products. 
• Achiral—hybrid AI architecture built on verified, composable programs that compound over time.
• Hybrid AI systems for accelerated discovery and innovation. 
• System-level governance for hybrid AI—composite frameworks combining generative model, symbolic precision, and bio-inspired design. 
• Adaptive systems for long-horizon execution. 

Our Name: pronounced “dice”—exploration & programmable adaptation.

The next leap in productivity comes from long-horizon collaboration. We're hiring—get in touch!

Daice Labs

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