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CONNECT THE UNCONNECTED

Find answers hidden in your vast siloed data

Give analysts and AI the context to explore complex relationships at scale, efficiently generate better results they can trust, and adapt quickly as questions evolve.

Trusted by leading banks, agencies & global enterprises

TRULY UNDERSTAND YOUR DATA

Understand what your data means and how it connects

Connect your siloed data in an intuitive knowledge graph, giving teams and AI agents a full picture of your data and its inter-relationships, and a common understanding of what the data means

Analyze complex relationships at Scale
Explore complex relationships across hundreds of billions of data records — without predefining paths or limiting how far the analysis can go.
Ask new questions without starting new projects
Add new data sources or relationships, and ask new questions without re-engineering the model, pipelines, or system
Governed, traceable, and sovereign
Build and modify the model yourself, and trace every entity and result back to its source
  • Auditability
  • Performance
  • Lineage
  • Monitoring
  • Access Control
TURN YOUR KNOWLEDGE INTO INTELLIGENCE

Find hidden patterns and connections

Find networks, paths, and indirect connections across all your data. Discover how people, organizations, assets and events relate at enterprise scale.

Use attributes and surrounding relationships to recognize the same person or organization across different records. See which records were matched, which rules connected them, and the confidence behind each match.

Find connections that emerge when records from different systems come together. Reveal networks that span sources, even when the entities have no direct link.

Turn a pattern your analyst discovers into a reusable rule or score. Apply it across your entire dataset without writing code or relying on external support.

Step 01 · Governed Context
Consolidated identity
Martin Schmidt
4 source records
M. Schmidt89
Martin Schmitt88
Schmidt, Martin79
SCHMIDT, Martin79
Step 02 · Discovered Networks
Hidden links found
24
new relationships across 6 entity types. Invisible in siloed tables.
2 hops max Cross-source
Step 03 · Reusable Logic
Reusable logic
Ring structure Shared address Velocity chain Distance ≤ 2
Saved
Saved as scorev3
Runs on new dataauto
Person Phone A BTS station Analyst Bank account Address Transaction AI agent
cluster boundary Risk entity 3 hops
Discovery analyst finds pattern ONE-TIME FINDING REUSABLE RULE CONTINUOUS MONITORING
GET THE BEST FROM YOUR AI

Give agents the engine to answer, not just the data to read

AI Agent
Find people behind this suspicious transfer network
AUDIT TRAIL verifiable intermediate steps
  • People 11.1M → 2
  • Bank 20.4M → 6
  • Tx 27.3B → 782
  • Bank → 156
  • Tx → 60.6k
Ask a follow-up…
People Bank accounts Transactions Addresses Phones BTS stations 11.1M 2 20.4M 156 27.3B 782 8.7M 14.2M 62.5k querying..

DataWalk gives agents connected enterprise knowledge and an analytical engine to work through complex questions at scale.

Ground their answers in computed, deterministic results, not probabilistic guesses, while keeping access under your control.

Let agents use what your graph already knows
Every new agent connects through the same shared model — resolved entities, mapped relationships, shared business definitions, already in place. Fewer tokens rebuilding context. More of the budget answering the question.
Every answer, under your control
Every agent request runs under the caller's DataWalk permissions — enforced at query time, logged for review, and traceable back to the records that produced it.
Use Cases

Solution for your industry

Enterprise Connected Intelligence

  • Contextualize your enterprise data and explore knowledge, resolve entities, and support decisions across the business
  • Conduct complex investigations at speed and scale across business units and systems, with the agility to change direction as questions evolve
  • Improve the quality & reliability of your AI with connected knowledge as its data foundation
CUSTOMER CASE STUDY · BANKING

How Ally went from concept to full production in 19 weeks

DataWalk's impact at Ally Bank demonstrates the transformative potential of unified graph analytics for financial crime prevention.

~$20M
Fraudulent attempts identified and neutralised before losses occurred
1day
To deploy new analytical use cases
Tens of billions
Of records used to build an enterprise-grade knowledge graph
Agentic AI
Exploring large language models
RESOURCES

Whitepapers & research

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FAQ

Everything You Need to Know

Find your answer

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Why use DataWalk?
DataWalk transforms siloed enterprise data into contextual intelligence, enabling investigators, analysts and operators to act with clarity and speed.
Who is DataWalk for?
Banks, government agencies, defense, intelligence, law enforcement, and insurance carriers running regulated operations at scale.
How to test DataWalk?
Book a demo with the team. Proof-of-concept deployments typically run in 4-8 weeks on a pilot use case.
What are the benefits of an enterprise-class system?
Sovereign deployment, role-based access, audit trails, ontology versioning, and SLA-backed support.
What is Ask AI?
Composite AI assistant grounded in your organizational ontology, so answers cite the knowledge graph, not the model.

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