Trustworthy Collective Intelligence
Enabling secure, real-time collaboration across trust boundaries through trustworthy and verifiable multi-agent systems
Intelligence across trust boundaries
Despite large scale digitization over the last decade, high Coasean transaction costs, arising from negotiation, contracting, and coordination continue to constrain efficiency and innovation in complex economies such as India. Agentic AI offers a powerful opportunity to reduce these costs by enabling agents to autonomously act and coordinate on behalf of humans and organizations. However, these systems will succeed only if we solve fundamental challenges of multi-agent coordination and build infrastructure that makes cross-organization trust possible.
At SPARC, our mission is to make technological infrastructure (new communication protocols, safety benchmarks, scenario-simulations and new foundational models) that promises to make agent-to-agent interactions effective, safe and trustworthy.
What is trustworthy collective intelligence?
Trustworthy collective intelligence refers to systems where:
- Autonomous agents represent organizations
- Agents coordinate decisions across institutional boundaries
- Interactions are governed by enforceable policies and commitments
- Trust is established through verifiable infrastructure
This enables coordination at scale while preserving decentralization and organizational autonomy.
Collective intelligence is intelligence that emerges out of interactions between AI systems.
Research focus
coordination
protocols
Develop protocols that enable agents to coordinate across trust boundaries while preserving data sovereignty and minimizing exposure.
infrastructure
evaluation systems