Why should I trust Datavid with our data?

Datavid implements security and confidentiality processes from day 1. We usually work within the client's secure environment, avoiding any data spill over to our systems.

How many people does Datavid employ?

Datavid's headcount is 80+ strong, and we expect to grow to over 100 people by the end of next year. We have the capacity and growth rate to take on large data projects.

Does Datavid offer other IT services?

Yes, especially around system performance optimization and cloud migration. However, Datavid's primary focus is on delivering large-scale data applications.

Validate your GraphRAG use case
in 6-8 weeks

Move from an impressive AI demo to a scoped, validated GraphRAG pilot that shows whether your feature can deliver reliable outputs, reusable workflows, and production-ready value.

Validate feature reliability. Identify where standard RAG may break down and assess whether GraphRAG can deliver more consistent, traceable outputs for your use.

Scope a realistic pilot. Define the right workflow, data sources, guardrails, and success metrics for moving your AI feature from prototype to production.

Move your AI feature
beyond the demo

Datavid's GraphRAG framework turned our generative AI prototypes into an enterprise-grade intelligence layer. Every insight is now sourced, verifiable, and audit ready.

Head of Data Strategy, Global Pharmaceutical Client

Start with the right foundation

Successful GraphRAG projects begin by understanding the AI feature you want to ship, the user workflow it needs to support, and the knowledge it must connect—not by selecting technology first. Our Discovery Pilot helps you validate scope, identify delivery risks early, and define the right path from prototype to production before development begins.

What we'll discuss

Your AI feature or use case

What you are trying to build, improve, or validate.

Current product challenges

Where standard RAG, search, or existing AI features may be falling short.

Data and workflow context

Which systems, sources, users, and workflows does the feature need to support.

GraphRAG fit

Whether your use case may benefit from connected knowledge, metadata, and relationship-aware retrieval.

Potential next steps

Whether a scoped discovery pilot makes sense, and what that could involve.

What a 6–8 week pilot could look like

After the initial call, Datavid can help scope a focused GraphRAG pilot around one high-value AI feature or workflow. A typical pilot may include discovery, use case assessment, solution design, validation planning, and a practical roadmap for moving from prototype to production.

Validate the feature before you build

A Discovery Pilot helps product teams validate whether GraphRAG is the right fit before committing full engineering effort. It aligns product, engineering, data, and governance stakeholders around one scoped use case, reduces implementation uncertainty, and defines a practical roadmap for moving from prototype to production.

About Datavid

Datavid combines GraphRAG expertise, knowledge graph delivery, and enterprise AI implementation experience to help organizations move from proof of concept to production. Our work is delivered under ISO 27001 and Cyber Essentials Plus certified security standards.

Ready to move your AI feature beyond the demo?

Book a GraphRAG Discovery Pilot to validate your use case, clarify delivery requirements,
and define a practical roadmap from prototype to production.

The information you choose to share will be used solely to understand your needs and provide you with an assessment. We respect your privacy and assure you that you will not receive unsolicited communications from us.

Validate your GraphRAG use case in 6-8 weeks

Move your AI feature beyond the demo