Munich-based startup Interloom has successfully secured $16.5 million in funding. The company is at the forefront of developing what it terms a ‘context graph’ – an advanced, continuously updated map that illustrates the true operational decision-making processes within an enterprise.
This innovative system diverges from traditional approaches by analyzing millions of real-world cases, offering a dynamic and accurate portrayal of business operations, rather than relying on potentially incomplete or outdated documentation. Interloom’s solution is designed to tackle a critical challenge often faced in enterprise AI deployments. The disparity between documented procedures and actual operational workflows can create significant friction, hindering the effective integration of artificial intelligence.
By providing deep insights into how decisions are genuinely made, the context graph empowers businesses to build AI systems that are precisely aligned with their real-world practices, thereby optimizing performance and overcoming common implementation hurdles.
