Daice Labs

Daice Labs — Digital co‑builders engineering adaptation

The Problem

Current AI shines on benchmarks but breaks in the wild—brittle under distribution shift, costly to retrain, hard to audit, and slow to adapt. The need? new hybrid paradigms that integrate today’s models into systems that learn continuously, generalize, and explain their decisions.

Approach

Founded by MIT CSAIL scientists, we build hybrid/composite frameworks that combine LLMs/DL with symbolic reasoning and bio-inspired system design to deliver new architectures.

Our name

Pronounced “dice.” Dice evokes exploration; for us it’s programmable adaptation. Two meanings. 1) DAICE = Data‑driven AI for Context‑aware Evolution. 2) Dais = or stage—an integrative platform for co-builders.

Two focus tracks

1) Product Lab

Building a collaboration platform where human teams co-build with hybrid AI.

Features: shared context fabric, role‑based models (ops, finance, R&D, commerce), vertical applications composed into a business‑in‑a‑box, and co‑ownership ledger audits for governance.

2) AI Research Lab

Our lab investigates how principles of natural intelligence can guide the design of hybrid AI architectures. For example, living systems excel at “coordinated collaboration” via specialized structures or scaffolds. We believe that mimicking their system-level design will unlock new frameworks for AI generalization.

– Translating biological, cellular, and evolutionary principles into system design.

– Advancing perturbation‑aware learning and rule‑guided frameworks.

– Developping cell-inspired architectures for guided program synthesis.

The next Leap

We believe that the next leap in productivity comes from collaboration—human teams and specialized AIs co-building on shared context, pushing boundaries for adaptation together.

Interested? We’re hiring–get in touch!