How GroundX reframed Document AI — and laid the foundation for Valantor’s Visual Intelligence platform.
Seamless Partners’ independent review of GroundX argues that the breakthrough wasn’t a new model — it was a new operating layer for how enterprises actually run on visually complex documents. That layer is now the engine inside Valantor’s GroundX.
Editor’s note: The following is a Valantor summary of an independent piece by Seamless Partners. It is shared here with attribution to highlight industry coverage of the technology now powering Valantor’s Visual Intelligence platform. Read the full original article on Seamless Partners using the link at the bottom of this page.
The argument
Seamless Partners frames the Document AI problem the way enterprises actually experience it: not as a model accuracy issue, but as a workflow problem. Most enterprise documents — policies, claims, filings, technical diagrams — break general-purpose LLMs because the information lives in tables, decision trees, screenshots, and scanned forms, not in prose. Solving that requires a layer that turns visual documents into structured, model-ready intelligence and then composes that intelligence into repeatable, governable workflows.
That is what GroundX set out to do — and what now ships at enterprise scale inside Valantor’s GroundX Studio, with Document Plug-ins and Function Plug-ins as composable building blocks.
“Workflows reframes the question. The interesting unit of work isn’t the model call — it’s the orchestrated chain of extract, classify, reason, and validate that turns a visually complex document into a decision the business can stand behind.”
What Seamless highlights
Visual Intelligence as a foundation. The piece emphasizes that GroundX-based extraction handles tables, diagrams, decision trees, and handwritten content as first-class data — not as edge cases to be patched later.
Plug-ins over prompts. Document Plug-ins encode archetype-specific intelligence (invoices, policies, claims, medical records); Function Plug-ins compose extract, classify, summarize, compare, and validate operations into workflows.
Human-in-the-loop accountability. Workflows are designed to be auditable. Every output is traceable, validatable, and tunable — the requirement for regulated, document-heavy verticals.
Model-agnostic by design. The orchestration layer routes to the best-fit model per task, rather than betting on a single foundation model.
Why it matters
Seamless Partners’ read aligns with what we hear from enterprise buyers: the bottleneck isn’t raw model intelligence — it’s the gap between an LLM and the messy, regulated, visually rich reality of enterprise documents. Closing that gap is the prerequisite for deploying AI thoughtfully across the hundreds of use cases enterprises are racing to operationalize.
The capabilities Seamless describes are now the substrate of Valantor’s outcomes — including FraudX for insurance fraud detection, with ClaimsX and ComplianceX on deck.
From Workflows to Visual Intelligence
The Seamless piece closes by noting that GroundX was an early signal of where enterprise AI was going. That signal has since matured into Valantor’s Visual Intelligence platform: GroundX as the foundational intelligence layer, GroundX Studio as the extensibility platform, and a growing portfolio of Outcomes built directly on top.
Read the full independent piece by Seamless Partners. Read on Seamless Partners →