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title: README
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# Daice Labs

**We build Dandela: continuous-learning AI infrastructure for collaborative projects — governed recursive self-improvement (RSI) with human attribution.**

## The Problem

Serious research and innovation need more than isolated AI outputs. Projects must preserve context, adapt to new evidence and deliver reliable results — without losing human governance or attribution for the people creating value.

## Our Approach

Founded by MIT CSAIL scientists, we combine frontier models, neurosymbolic methods and bio-inspired system design. Dandela improves both the project and how the work gets done, with human governance and verification guiding improvements in performance, cost, reliability and discovery.

Dandela operates as a **system of systems**. Persistent project intelligence keeps work connected over time. **Meta-RSI**, our central coordination layer, supports shared strategy and continuous learning across projects.

## Our Product

**One technology, two ways to build.**

- **Dandela Studio** brings people into curated research and innovation projects. Members contribute, supervise AI-driven work and build with a continuous community.
- **Dandela Infrastructure** gives individuals, teams and enterprises the same technology to operate their own long-horizon projects.

**Ledger-based attribution** keeps accepted contributions connected to the people behind them. Project agreements define revenue sharing and co-ownership where granted. For selected projects, we provide compute and support, with eligible contributors receiving the majority of defined project receipts.

**Verified capabilities** become reusable building blocks for larger compositions. Where permissions and technical conditions allow, useful work can support further discovery across projects, domains and model generations.

## Our Name

Pronounced **“dice”** — exploration and programmable adaptation.

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### Build what matters. Together.

We’re hiring — get in touch!

🌐 [daicelabs.com](https://daicelabs.com/)