Turn an alert into an investigation.
“Is this an isolated event, or part of a network?”
An agent could follow shared identities, accounts and payment paths to assemble the wider picture for an investigator.
Platform / AI & Context
Give AI the context behind your business.
Who is who. How things connect. What matters to the question.
DataWalk gives agents business context from an Enterprise Knowledge Graph: connected facts, shared meaning and analysis for the work at hand.
The context gap
Why ask AI to guess what your business already knows?
Three records describe one customer. A payment connects to a wider network. A metric has an agreed definition.
Access to data alone doesn’t supply that understanding. Make it part of the context, and your agent has less to infer from fragments.
What becomes possible
Give your agents more to go on.
When the work depends on how things connect, business context opens up a different class of AI questions.
See who you’re really dealing with.
“What else should we know about this company?”
Bring ownership, related parties, activity and source evidence into a connected briefing for a reviewer.
Follow the consequences.
“If this supplier fails, where are we exposed?”
Help an agent trace dependencies through products, contracts and customers to identify where the business needs to look.
Find the opportunity between accounts.
“Where could we do more with this customer group?”
Connect subsidiaries, existing relationships and product use so an assistant can surface gaps for an account team to explore.
Illustrative possibilities, shaped by your data, agent and workflow.
DataWalk Context Resolution
Context, computed for the task.
A customer question needs connected identities. An exposure question needs paths and totals. A performance question needs a defined calculation.
DataWalk selects, traverses and calculates across the Knowledge Graph to assemble the context your agent needs.
A question about a customer
Who is this?
Resolved identity and the relationships around it.
A question about a portfolio
Where is the exposure?
A relevant population, its connections and aggregate measures.
A question about performance
How are we doing?
A defined metric, its scope and the calculation behind it.
Illustrative context needs, not product responses.
The foundation
Agents love relationships. Knowledge graphs make them explicit.
A shared owner. A chain of payments. A supplier behind several products. Relationships give an agent paths to investigate.
DataWalk brings entities, resolved identities, business definitions and analysis together in one model. Your agent can work from connections and meaning established before the question. MCP connects compatible agents to that foundation.
Resources
Explore the context underneath.
Platform
Explore the Enterprise Knowledge Graph
Enterprise Knowledge Graph
Give connected data a shared business meaning.
Platform
Explore Entity Resolution
Entity Resolution
Establish who is who across sources, with evidence behind the links.
Platform
Explore Connected Analytics
Connected Analytics
Search, calculate and follow relationships on the same graph.
FAQ
Questions about AI and context.
Does DataWalk provide the model or agent?
Bring a compatible model or agent connected through MCP. DataWalk provides the business model, connected data and analytical tools the agent can work with.
How does this work with RAG?
Document retrieval can supply relevant passages. DataWalk adds resolved identities, explicit relationships and computed context. An AI application can use both, depending on the question.
What data can an agent access?
DataWalk permissions govern the connected user’s access. Enabled MCP tools determine which operations the agent can invoke. Together, these controls define the scope of its work.
Are these ready-made AI applications?
The examples show work that connected context can enable. Your data, agent and workflow determine the application; the graph supplies context and analytical capabilities. People still need to evaluate the answers and decisions.
What does your AI need to understand?
Bring a question that crosses systems, identities or relationships. Let’s explore the context your agent needs to take it further.
