Intelligence Resources

Articles, insights, and deep-dives on Digital Twins, Simulation, Multi-agent systems, and the future of customer intelligence, from the Preferences AI team.

Building The World's Memory Layer

Simulation

Run infinite what-if scenarios across your Digital Twin library before committing budget to any campaign, price change, or product launch. Reduce research cycles from weeks to minutes.

  • A/B test on digital twins, not real users
  • Predictive revenue modelling pre-launch
  • Pricing sensitivity analysis at cohort level
  • Real-time updates as market conditions shift

Multi-Agent Systems

Our OpenClaw integration connects preference intelligence to an entire ecosystem of specialised AI agents (sales, support, marketing, research, and finance), all operating with shared customer context.

  • Persistent preference memory across all agents
  • Live intent signals powering every conversation
  • Cohort intelligence shared across agent teams
  • 40% higher first-contact resolution rates reported

Memory Layer

Our Memory Layer is the core intelligence architecture, synthesizing raw feedback into high-fidelity Digital Twins, powering simulations, and routing preference signals to autonomous agents.

  • Three-layer intelligence: vertical, horizontal, processing
  • Zero-knowledge proofs: no PII ever stored
  • Federated learning across distributed data sources
  • Continuously self-improving without manual retraining

Ready to Build Your
Intelligence Layer?

Turn your customer data into living Digital Twins and start running infinite simulations today.