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For People and AI

Connect the unconnected.

Turn fragmented data into actionable knowledge that adapts as fast as your world changes — not after you rebuild the system. Analyze complex relationships across your entire data landscape at massive scale.

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Trusted by leading banks, agencies & global enterprises

Ontology-first Knowledge

Turn fragmented data into connected knowledge Built for change.
Built for scale.

Model objects, relationships, and meaning in one evolving ontology-first knowledge graph — connecting your enterprise as a coherent whole at massive scale, for people and AI agents.

Adapt without rebuilding
Add new sources, data types, and concepts as your world changes — without redesigning pipelines or starting over.
Explore relationships at Scale
Explore complex relationships across billions of connected objects while keeping the ontology easy to adapt.
Governed, traceable, and sovereign by design
Every entity, relationship, feature, and insight can be traced to its source data, transformations, and rules — with cell-level permissions for people and AI agents, all under your control.
  • Auditability
  • Performance
  • Lineage
  • Monitoring
  • Access Control
How it Works

From scattered records to answers you can act on

  1. 01

    Match your entities with high confidence

    Scattered data points fall into place and connect into a living network, then duplicate records collapse into a single, resolved entity.

  2. 02

    Find new patterns and reveal hidden connections

    Hidden relationships surface across the graph, highlighted as new links you would never spot in siloed tables.

  3. 03

    Answer your deep questions with enormous speed

    Impulses race through the network as DataWalk traverses millions of connections in real time.

  4. 04

    Adapt fast to new questions and new data

    Fresh records stream in and connect on the fly. The graph reshapes itself so your picture stays current, without re-modeling.

Person 11.1M records

1 identity: Martin Schmidt

4 SOURCE RECORDS
  • M. Schmidt89
  • Martin Schmitt88
  • Schmidt, Martin79
  • SCHMIDT, Martin79
3 DATABASES
HIDDEN LINKS FOUND 24

new relationships across 6 entity types. Invisible in siloed tables.

See the paths →
200B records

multihop queries in 1.5 sec

Read more →
NEW

A new use case in under 24 hours

Check the case study →
01 / 04
Agentic AI

Everyone offers context.
Few let agents reason over it at scale.

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..

Context alone doesn't reason. DataWalk gives agents a connected intelligence engine they can reason through at scale.

Agents can explore the graph step by step, see the evidence each step returns, and decide where to go next. Fewer tokens. Answers you can trust and trace.

It starts with the full picture
DataWalk connects the customers, accounts, transactions, counterparties, entities, and risk signals your teams need before the agent begins. The agent starts with connected evidence — not isolated records or relationships it must reconstruct for every question.
Don't make the Agent infer what the graph already knows.
DataWalk lets agents reason through connected intelligence at scale — exploring the graph step by step, seeing what each step returns, and deciding where to go next. Less probabilistic guesswork. Fewer tokens. Every answer traceable to the evidence.
It scales without the engineering detour
DataWalk runs complex reasoning paths across connected data at scale — without teams having to rebuild joins, reshape schemas, or tune every new workflow for performance. Each step is inspectable, so results can be reviewed, reproduced, and trusted.
Use Cases

Solution for your industry

Risk & Investigation Intelligence

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  • Use context and AI to understand complex customer behavior
  • Analyze financial crime networks
  • Identify emerging risk patterns
  • Adapt investigations as threats evolve
AWARDS & RECOGNITION

Recognized as a disruptor in
the technology sector

G 4.9/5 on Gartner

Award-winning Graph + AI platform enabling faster, smarter investigations.

annual fraud losses prevented
$40M
accelerated results
10×
patents
11
RESOURCES

Whitepapers & research

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5 Reasons Why Disparate Data Blocks AI Investigation Agents
WHITEPAPER

5 Reasons Why Disparate Data Blocks AI Investigation Agents

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Seeing the Unseen: Why Good AI Begins With Connected Data
WHITEPAPER

Seeing the Unseen: Why Good AI Begins With Connected Data

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RESOURCES

The latest news, cases
and releases

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Relational databases: data model diagram
RESEARCH & INSIGHTS

Palantir Products and Competitors

Read more
What is a context: data model diagram
ARTICLE

AMLD6: Comfort in Your AML Controls or 10% Turnover Fines?

Read more
ARTICLE

Drafting SAR Narratives with Agentic AI

Read more
RESEARCH

What Is an Enterprise Knowledge Graph?

Read more
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.