Customer wins, product milestones, and what we’re learning from the field as enterprises operationalize Visual Intelligence.
Valantor has acquired EyeLevel, the company behind GroundX, expanding its Enterprise Visual Intelligence platform and introducing GroundX Studio to accelerate secure enterprise AI deployment.
A new analysis from Seamless Partners examines how GroundX — the technology now industrialized inside Valantor’s GroundX Studio — closes the data comprehension gap for enterprises operating on visually complex documents.
Read the coverage →How Air France / KLM hit 96.2% accuracy on visually complex policy documents, beating their 60% target with Valantor’s Visual Intelligence platform.
How AskVet doubled gross margins from 40% to 80% by operationalizing a decade of veterinary data with Valantor, powering VERA™, the world’s first digital veterinarian.
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The world’s most important information doesn’t live on the public Internet and never will. That’s why Valantor designed their next generation RAG (retrieval augmented generation) platform to…
The bad news first. There’s no easy button for evaluating RAG (retrieval augmented generation) systems. The public data sets aren’t great, preparing your own data requires subject matter expertise…
As developers converge around two core paradigms for LLM applications — RAG and Agents — the need to evaluate their performance has become a major hurdle to launching production ready products.
Vector databases, a key technology in building retrieval augmented generation or RAG applications, has a scaling problem that few are talking about.
Retrieval Augmented Generation (RAG) is a critical tool in modern large language model (LLM) powered applications. But like LLMs themselves, RAG systems are prone to hallucination - making up…
On the latest episode of RAG Masters, CEO of Unify AI Dan Lenton explored the technology behind LLM Routing along with hosts Neil Katz and Daniel Warfield.
In the latest episode of the RAG Masters show, we explore Agentic RAG, different techniques to build, integrate, and evaluate it, real-world use cases, and future challenges the field might face.
Let's start with a fundamental truth: parsing is the bedrock of any RAG application.
Talk to our team about putting Visual Intelligence to work in your specific workflow.