Interloom has announced the closing of a $16.5 million seed funding round, led by DN Capital, with participation from Bek Ventures and Air Street Capital. The company focuses on developing a platform that captures expert knowledge within enterprises and transforms it into a persistent memory for artificial intelligence agents.

The problem Interloom solves

Interloom's platform aims to overcome a key limitation in the adoption of AI in the enterprise: the lack of operational context. Many internal operating procedures are not adequately documented. Interloom's platform captures this knowledge from real-world workflows, allowing both employees and AI systems to access past resolutions and apply them to new cases.

How the platform works

Interloom builds a continuously evolving "context graph" that stores decisions and outcomes from past work. This allows AI agents to operate based on accumulated experience, supporting more effective automation of complex processes. The platform also addresses knowledge loss due to staff turnover, preserving expertise within the organization.

Future prospects

With the new funding, Interloom plans to further develop its platform and expand its capabilities in enterprise AI and workflow automation. This may include integration with a greater number of enterprise systems and the addition of new features for knowledge management.