Interloom raises funding for its 'context graph'

Interloom, a Munich-based startup, has announced a funding round of $16.5 million. The company is developing a system called a 'context graph,' which aims to create a dynamic and constantly updated representation of decision-making processes within companies.

The idea is to map how operational decisions are actually made, based on millions of real cases rather than static and potentially outdated documentation. This approach could help identify and resolve the friction points that often occur during the implementation of artificial intelligence projects in enterprises.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these options.