Enterprise Software
Adaptive Intelligence
An AI research and engineering company rebuilding ERP around continuous learning instead of static workflows.
Legacy ERP systems assume data flows, user behavior, and organizational structure are fixed. Adaptive Intelligence starts from the opposite assumption: that enterprise software should keep learning from the organization it runs on.
The work draws on three research areas — large language models for contextual understanding of business processes, multi-agent systems for distributed decision-making, and causal inference for counterfactual and intervention planning — applied first to banking and finance, ecommerce operations, and logistics and supply chain.
Early focus areas include automated reconciliation and faster financial close, dynamic cash-flow forecasting, and continuous regulatory-compliance monitoring.