Valantor buys EyeLevel to launch enterprise visual intelligence platform
What's the deal? ValantorDealroom has a profile for this one. Try Dealroom → has acquired EyeLevelDealroom has a profile for this one. Try Dealroom →, the company behind enterprise AI platform GroundX, and used the deal to launch its Enterprise Visual Intelligence platform. The combined company helps regulated organisations extract intelligence from complex documents and private data. Terms were not disclosed.
What does each side do? EyeLevel spent more than five years building technology to understand and reason over visually complex enterprise information such as contracts, claims files and engineering drawings. Valantor brings operational expertise to help organisations adopt AI across highly regulated industries.
What's the endgame? Valantor is targeting what it calls the "data comprehension gap" — the disconnect between the knowledge organisations hold and what AI systems can access and use. "Most AI companies are focused on models. We're focused on the information those models can't see," said chief executive officer Patrick McCamley.
Why it matters: Unlike solutions that move sensitive data into external environments, GroundX runs wherever enterprise data already resides — private cloud, sovereign infrastructure, on-premises and fully air-gapped setups. That lets organisations unlock intelligence while keeping control over security, governance and compliance.
The product: Alongside the acquisition, Valantor is introducing GroundX Studio, which integrates with modern AI development environments so developers can build secure applications on enterprise data. It also lets business users create AI-powered workflows without extensive custom development.
The backstory: EyeLevel was founded by IBMDealroom has a profile for this one. Try Dealroom → Watson veterans and developed through UC Berkeley's SkyDeckDealroom has a profile for this one. Try Dealroom → accelerator. Founding team members earned 21 patents in artificial intelligence, machine learning, knowledge systems and document understanding during their time at IBM.
The signal: As enterprises pour money into AI, much of their most valuable information stays locked in documents that even modern systems struggle to read. The deal reflects a growing focus on data comprehension and secure, in-place deployment — bringing AI to the data rather than moving data to the AI.
Read more: AP News
