Coalesce lacks a cute animal mascot but they’re part of the super-hot data preparation space, driven by companies’ need to manage big data efficiently. They just raised a $26 million Series A for a transformation tool that combines the efficiency of a graphical user interface with power of a code-driven system. How exciting is that?
Venture funding may not quite be flowing like wine anymore, but the tap isn’t completely shut. Klaus, which uses AI to review customer support conversations so managers don’t have to, just closed a €12 million Series A. Klaus is based in Estonia and has an exceptionally cute cat logo, if you’re tracking either of those dimensions.
Tray.io also plays in the integration sandbox, although they’re more focused on automation than process automation than data management. They tick the buzzword boxes for low-code, cloud-based, and digital transformation. If that’s not worth a $40 million extension to their $50 million Series C, then what is?
Unauthorized training data isn’t an existential threat to generative AI but it’s certainly a headache for users and developers alike. Most developers are trying to exclude materials that creators have explicitly labeled as unauthorized and citing “fair use” as justification for copying everything else. Getty Images has taken an opposite approach, building its gen AI tool only on materials that are explicitly licensed. It’s possible that tracing the provenance of training data will become a standard, similar to how organic food producers trace the origins of their ingredients.