Robotic process automation uses software robots that can mimic human interaction with user interfaces of software systems. As a virtual workforce with its own read and write permissions, the robot then automatically populates fields in databases, for example. These automation mechanisms have nothing to do with artificial intelligence – and that’s exactly what Interloom wants to change.
Behind Interloom is a team led by co-founder and CEO Fabian Jakobi, which has already founded the knowledge graph company Boxplot. They successfully sold this at the end of 2021 to Hyperscience, a New York-based ML/AI startup in document automation. In a blog post, Jakobi explains that similar AI methods could be used in the future to extract information from video recordings, call logs, or notes, so that AI software can learn how professionals actually work. Then, AI solutions based on the same underlying AI methods that power today’s large language models could be used to automate many parts of these tasks.
Interloom has now completed its first funding round. Led by London-based investor Air Street Capital, which specializes in early-stage AI startups, €2.8 million (US$3 million) is flowing to the Munich startup.
Nathan Benaich, founder and general partner of Air Street Capital, explains:
“The Interloom team rejects the industry standard of adding more layers or plug-ins on top of legacy technology. Instead, they are building a cloud- and model-agnostic foundation for the era of AI-powered enterprise automation.”
