Superprism. Infrastructure for Collaborative AI
Superprism is an R&D lab for human-agent coordination. We research and build systems where humans and AI agents generate shared context together — without sacrificing privacy or sovereignty.
AI tools are built for individuals.
But the most complex work happens in teams:
- • distributed organizations
- • research groups
- • open source communities
- • global companies
These teams struggle to maintain shared context across conversations, documents, repositories, and AI agents.
Superprism explores how humans and AI systems coordinate knowledge together.
Areas of Inquiry
Research Areas
We explore the systems required for collaborative AI.
● Active Experiment
Collaborative AI Environments
Shared workspaces where humans and agents operate on the same evolving context.
● Active Experiment
Context Engineering
Techniques for creating, maintaining, and isolating context so AI systems stay useful.
Human-Agent Coordination
Designing systems where agents assist teams without replacing human judgment.
● Active Experiment
Local-First AI Infrastructure
Architectures that preserve privacy and sovereignty over knowledge.
Agentic Economies
Exploring how AI agents interact with decentralized economic systems.
Knowledge Interfaces
New ways for humans to navigate and shape shared AI context.
Reference Implementation
Superprism
The Superprism app is our primary research artifact — a collaborative AI workspace for distributed teams.
Each capability represents a hypothesis about how humans and agents should coordinate.
Current Experiments
- •multi-source knowledge ingestion
- •automated daily and weekly digests
- •shared context workspaces
- •project-specific context isolation
- •knowledge graph exploration
Field Work
Applied Research
Our systems are tested with organizations exploring collaborative AI.
Case Study
Raid Guild
Collaborative AI systems for decentralized teams.
- •shared DAO knowledge base
- •automated ingestion of chats and governance discussions
- •AI-assisted sensemaking across distributed contributors
Case Study
Open Machine
AI-native knowledge infrastructure for cultural reasearch initiatives.
- •Git-centric knowledge base
- •private and public publishing workflows
The next generation of AI will not be individual.
It will be collaborative.
As AI agents become ubiquitous, the challenge is no longer individual productivity.
The challenge is shared intelligence.
How teams create, maintain, and govern context will determine whether AI empowers organizations — or fragments them.
Superprism explores the infrastructure required for collaborative intelligence.
Work With Us
Superprism collaborates with organizations exploring new ways of working with AI.
Research Partnerships
Teams experimenting with collaborative AI systems.
Applied Implementations
Organizations integrating AI into complex coordination workflows.
Funding & Grants
Support for research into privacy-preserving and decentralized AI infrastructure.