Vertesia named an IDC Innovator: Context Infrastructure for Agentic AI

We're excited to share some news: Vertesia has been named an IDC Innovator for the second time this year!

Back in February, IDC recognized Vertesia as an Innovator in GenAI and agentic life-cycle tools and technologies. IDC has named us an Innovator again, this time in a newly defined category: context infrastructure for agentic AI. Two recognitions, in two different categories, in the same year, are a signal we don't take lightly.

The new report, "IDC Innovators: Context Infrastructure for Agentic AI, 2026" (Doc #US54899426, September 2026), comes from Amy Machado, Research Director, Content and Knowledge Discovery Strategies at IDC. The study introduces context infrastructure for agentic AI as an emerging category, and Vertesia is featured as one of the vendors shaping it.

According to the excerpt, this new category is built on a single premise: "The reliability of an agent depends on the context it reasons over, not just the model behind it."

The constraint on enterprise AI today is context, not model capability.

That's how the executive summary of the report frames the problem, and it's the same problem we built Vertesia to solve. Here's how IDC describes it, straight from the excerpt:

"Agents can already reason quickly and fluently, but a fluent answer built on the wrong information is still wrong. A large volume of enterprise content was never built to be machine readable, governed, or traceable back to a source. Context infrastructure for agentic AI is an emerging category responding to that gap, with the tooling that makes institutional knowledge and context accessible, permissioned, and verifiable enough for agents to actually use."

"This segment views context as the foundational element that an agent uses for reasoning. It emphasizes content that is structured, chunked, and semantically tagged so its meaning survives machine processing rather than being flattened or lost. The focus is on knowledge that is both reliable and verifiable, along with discovery aligned to true intent and transparency, regarding how an organization's knowledge and brand are represented when an AI system interprets them."

"Vendors here approach the challenge from various angles, ranging from building accurate domain-focused search to developing and deploying AI-native applications. Trust is emerging as a critical factor in determining which agent-based AI implementations succeed in real-world applications rather than just in demonstrations."

Amy Machado put it this way: "Model capability is no longer the bottleneck for AI and agentic AI. The vendors that win enterprise trust will be the ones that can prove how they prepare, ground, and govern the context an agent depends on."

Why Vertesia was named an IDC Innovator

The excerpt points to a few reasons Vertesia stood out in this category.

On our approach to content and agents, the excerpt notes: "Unlike most of the market, its leadership team (several of them veterans of Nuxeo) built an agentic platform first, prioritizing durability, orchestration, and governance, then worked backward into a stateless, serverless content layer, since agents depend on context drawn from content structure. The result is a platform built natively for AI and agentic workflows, where legacy content solutions must retrofit or bolt on."

On our context layer, the excerpt notes: "Vertesia's context layer combines document preparation with governance, auditing, and guardrails for trusted agent behavior at scale. Semantic DocPrep helps AI find context by converting complex documents into enriched, semantically tagged XML or markdown, without rewriting or altering the source content. By preserving the original structure and relationships within a document, it gives LLMs a richer context to reason over."

On our architecture, the excerpt notes: "Vertesia's cloud-agnostic architecture helps regulated industries meet data residency needs without infrastructure lock-in."

The full report also assesses several of our capabilities, including:

• Content architecture for agentic AI
• Intelligent context layer
• Migration and modernization approach

And it highlights what IDC sees as our key differentiators:

• Agent-first architecture for content management
• MCP-native integration removes connector maintenance
• Migration economics at scale

Being named an IDC Innovator once is an honor. Being named twice in one year, in two distinct categories, tells us we're solving problems the market is only beginning to name: the gap between what agents can reason about and what enterprise content actually lets them see.

We're proud of this recognition, and even prouder of the product work behind it.

Read the excerpt of "IDC Innovators: Context Infrastructure for Agentic AI, 2026" here.