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OB360

Knowledge Graph Solutions & Graph Intelligence

Turn disconnected entity records into relationship-aware intelligence with knowledge graphs, graph queries and business APIs.

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Definition

Connect what your enterprise knows - and reveal the relationships between it.

In brief: A knowledge graph solution models business entities and the relationships between them, so questions about connections can be answered directly. OB360 handles domain modeling, identity resolution, graph database design, ingestion from source systems, Cypher queries, graph APIs and relationship-driven dashboards.

Traditional records answer questions about individual entities. Knowledge graphs help teams understand how entities relate: who is connected to whom, which activities occurred, what services were received and where patterns emerge across systems. OB360 helps model business entities and relationships, reconcile identities, build graph databases and expose relationship intelligence through APIs and applications. Knowledge graphs can support retrieval and agentic reasoning where a genuine need exists.

Problems

Designed around your business

  • Architecture before tools

    We define the business workflow, constraints and right level of AI before choosing implementation patterns.

  • Engineering accountability

    Our work spans concept, integration, software delivery and handover.

  • Controlled enterprise AI

    We design with boundaries, permissions, human review and evaluation in mind.

  • Specialist depth

    Agents, graph intelligence, document AI, applied ML and cloud-native engineering can be combined when the problem requires them.

Who it is for

Where this service fits

This service fits organizations whose records sit in separate systems and whose questions are about how those records relate.
  • Enterprise leaders planning practical AI adoption.
  • Software and product teams extending existing applications.
  • Business and engineering teams connecting workflows, knowledge and systems.

Use cases

An illustrative business scenario

  • A possible engagement

    A rural ecosystem contains data about farmers, livestock, households, societies, participation in campaigns and service interactions. A knowledge graph connects these records to support contextual queries and management visibility.

Related case studies

Approach

From requirements to delivery

Each engagement moves through four stages.

  1. Understand

    Agree the business problem, users, existing systems and constraints.

  2. Design

    Choose the architecture, data boundaries and appropriate human oversight.

  3. Engineer

    Implement the agreed scope with testing and integration.

  4. Enable

    Share implementation knowledge and agree operational next steps.

Technology

Typical scope

A typical engagement can cover the following areas.
  • Entity and relationship modeling
  • Identity resolution and canonical IDs
  • Graph database design
  • Ingestion and source adapters
  • Cypher queries
  • Graph-powered dashboards
  • Knowledge graph APIs
  • Optional future GraphRAG where justified

Delivery

Delivery model

Engagement scope, team structure and delivery priorities are agreed around your business needs.

Specific deliverables and implementation boundaries depend on the agreed engagement.

What to expect from an engagement

Domain model and entity taxonomy, identity strategy, graph schema, ingestion/adapters, Cypher queries, APIs and user-facing relationship views.

Questions

Questions about this service

How is a knowledge graph different from a normal database?

A relational database stores structured records and relationships; a graph database makes relationship traversal and connected context central to query and analysis design. The choice depends on the use case.

Can this work connect to our existing software?

OB360 can integrate AI capabilities with existing applications, data and APIs, with access boundaries defined for the engagement.

How do we start?

Discuss your workflow and constraints with OB360 to agree the relevant discovery and engineering scope.

What is a knowledge graph?

A knowledge graph stores business entities, such as people, assets and events, together with the relationships between them. It makes connected context the center of query and analysis design.

Has OB360 delivered a knowledge graph solution?

Yes. OB360 delivered a connected farmer intelligence solution that links farmers, households, livestock, societies, campaigns and service interactions in a Neo4j knowledge graph, with a graph API and relationship-driven dashboards.

Next steps

Related services

Explore complementary consulting and engineering services for your initiative.

Explore Knowledge Graph Solutions

Tell us about your business workflow, users and existing systems. We will discuss the architecture, engineering support and next steps that fit your needs.

Discuss your AI initiativebusiness@onboard360.com