Turn documents into navigable graph intelligence
Verbis Graph helps teams move beyond flat search by surfacing entities, relationships, and evidence paths across complex document collections.
Verbis Graph is built for connected document exploration, source-grounded retrieval, and graph-based knowledge navigation.
What Verbis Graph enables
Instead of treating documents as isolated files, Verbis Graph helps teams understand how information connects across entities, events, topics, and sources.
Graph Exploration
Navigate documents as connected intelligence rather than flat lists of files and excerpts.
Evidence Paths
Trace how answers connect back to original sources and supporting document context.
Entity Relationships
Reveal relationships between people, organizations, events, concepts, and documents.
Enterprise Ready
Designed for serious evaluation, cloud procurement, and document-heavy enterprise use cases.
From raw documents to connected intelligence
Verbis Graph restructures large document collections into an explorable graph of entities, relationships, and source-linked context.
Raw documents in
Ingest complex document sets instead of relying on isolated file-by-file analysis.
Relationships revealed
Surface the structure behind people, topics, concepts, events, and evidence across sources.
Knowledge becomes navigable
Move through information as a graph-native environment instead of a flat retrieval layer.
Explore the relationships behind every answer
Verbis Graph is designed for teams that need more than generated summaries. It helps users inspect linked entities, follow evidence paths, and understand the connected context behind conclusions.
- Follow evidence paths instead of accepting opaque outputs
- Inspect connected context across entities, events, and sources
- Explore knowledge as a graph, not as isolated search results
- Support analysis workflows where structure matters as much as the answer
Where Verbis Graph fits
Designed for document-heavy enterprise environments
Verbis Graph is positioned as serious product infrastructure for teams working across dense, high-value document ecosystems. It supports evaluation and procurement paths aligned with enterprise buying, cloud deployment, and technical due diligence.
Whether the goal is operational clarity, knowledge retrieval, policy analysis, or connected document reasoning, the product is built to support structured exploration rather than lightweight consumer chat patterns.
- Built for technical evaluators, solution architects, and enterprise teams.
- Suitable for document-heavy operations, analysis workflows, and knowledge systems.
- Supports procurement-aware buying through established cloud marketplaces.
Knowledge-intensive operations
Bring structure to large document environments where relationships, traceability, and context matter.
Technical evaluation
Present a product that feels ready for architecture review, security review, and buyer qualification.
Procurement-aware positioning
Guide buyers toward marketplace-based procurement instead of generic self-serve SaaS flows.
Structured exploration
Support deeper analysis with graph-native navigation, grounded sources, and relationship visibility.
HPC Evaluation Results
for Verbis Graph
We are excited to share the results from our HPC evaluation of Verbis Graph on CINECA infrastructure.
We first established a baseline GraphRAG retrieval model on the NFCorpus medical benchmark dataset. After analyzing the initial results, we optimized the retrieval pipeline and introduced a lexical retrieval layer. The comparison below highlights the resulting improvements in retrieval quality, demonstrating significant gains before integrating our upcoming ontology-enhanced reasoning layer.
(Previous Result)
(New Result)
For retrieval systems, the challenge is not only finding similar text. The difficult part is finding relevant information, ranking results correctly, traversing graph relationships, handling ambiguity, and supporting more complex retrieval patterns across connected knowledge.
Following the successful optimization of our retrieval pipeline, we validated Verbis Graph on the SciFact scientific benchmark, demonstrating that the improvements generalize beyond a single dataset.
Start with a 1-month PoC/Pilot on cloud marketplace
Verbis Graph supports a practical 1-month PoC/Pilot through cloud marketplace channels, making it easier for enterprise teams to evaluate the platform in a familiar procurement and deployment environment.
Low-friction evaluation
Test Verbis Graph with your own documents and use cases without committing to a long or complex buying process upfront.
Marketplace convenience
Use AWS, Microsoft or Google Cloud marketplace paths to simplify procurement, align with internal cloud processes, and evaluate in an enterprise-ready setup.
Clear decision path
Validate relevance, usability, and business value in a real-world environment before deciding on broader adoption.
To discuss your PoC/Pilot plan, deployment path, or evaluation goals:
Contact UsView Marketplace Options
Verbis Graph is presented with procurement in mind. Buyers can evaluate the product through familiar cloud marketplace channels and follow purchasing paths that fit enterprise review, vendor management, and deployment expectations.
The website acts as the branded product front door, while AWS Marketplace, Microsoft Marketplace, and Google Cloud Marketplace support trusted commercial and evaluation routes.
Approved
AWS Marketplace
Evaluate Verbis Graph through AWS Marketplace with a procurement path aligned to enterprise cloud buying and technical review.
Approved
Microsoft Marketplace
Explore Verbis Graph through Microsoft Azure Marketplace or AppSource for enterprise-oriented evaluation and cloud deployment planning.
Approved
Google Cloud Marketplace
Verbis Graph is available now on Google Cloud Marketplace, expanding our enterprise procurement and deployment options for organizations operating on Google Cloud infrastructure.
View on Google Cloud Marketplace →Explore Verbis Graph through AWS, Microsoft or Google Cloud Marketplace and evaluate it in a serious enterprise buying context.
Part of the NVIDIA Inception Program
Prodigy AI Solutions is a member of NVIDIA Inception, supporting our roadmap for scalable, high-performance AI infrastructure for enterprise knowledge retrieval, GraphRAG, and AI agent systems.
Build the Next Generation of Enterprise Retrieval
Verbis Graph is designed to support complex enterprise retrieval and knowledge management challenges.
If your organization requires capabilities beyond our standard offering, we welcome discussions around:
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🛠️Custom solution development
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📊Industry ontology partnerships
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🔬Research collaborations
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🏢Enterprise pilot programs
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☁️Marketplace and cloud partnerships
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🔗Strategic integrations
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💡Joint innovation initiatives
Let's explore what's possible together.
Our team works closely with selected partners to develop solutions tailored to real-world business, technical, and regulatory requirements.
