Interloom

Interloom is an enterprise operations platform designed to address the critical limitation of operational context in enterprise AI adoption. The platform captures undocumented expert knowledge from real-world workflows and converts it into a persistent memory layer for AI agents. This enables both employees and AI systems to access past resolutions and apply them to new cases, grounding AI decisions in successful past outcomes and governed through expert oversight. Interloom builds a continuously evolving 'context graph' that stores decisions and outcomes, allowing AI agents to operate based on accumulated experience rather than static documentation. This supports more effective automation of complex processes and preserves expertise within the organization, mitigating knowledge loss due to workforce changes.