What breaks first.

Our master data lives in a dozen systems and nothing connects it.
TRIGGERS
Discovery, assessment & data engineering services
We built an ontology and now only two people in the company can read it.
TRIGGERS
Ontology & knowledge engineering services
The graph exists, but nobody outside the data team can query it.
TRIGGERS
AI enablement & analyzer services
We can't prove lineage, ownership, or quality when auditors ask.
TRIGGERS
Governance, quality & trust services

Service Catalog

Four capability layers, twelve services.

Organized the way graph problems actually surface. Discover and ingest what you have, design a model the business
can trust, connect and enrich it, then activate and govern it at scale.

01

Discover & Ingest

Know what data you have, and get it clean, structured and ready to model.

02

Design & Model

Give the business a graph model it can actually trust and query.

03

Connect & Enrich

Wire the graph into everything else, then make it smarter.

04

Activate & Govern

Put it in people's hands, prove it's trustworthy, run it at scale.

01 / Discover & Ingest

Know what you have, and turn it into a clean, structured, model-ready foundation.

1.1

Discovery & Assessment

Inventory your sources, assess graph-readiness, and profile data quality before anything gets modeled.

OUTPUT Source inventory, readiness scores, feasibility report
1.2

Data Engineering

Ingest structured, semi-structured and unstructured data — OCR, parsing, cleaning and streaming included.

OUTPUT Clean structured data, ingestion pipelines, quality logs
1.3

Semantic Engineering

Extract entities and relationships, and design the shared taxonomy and business glossary behind them.

OUTPUT Taxonomy, business glossary, entity/relationship maps
02 / Design & Model

Turn raw structure into an ontology and graph model the business can actually trust.

2.1

Ontology & Knowledge Engineering

Design domain and core ontologies in OWL/RDFS/SKOS, with business rules and governance built in.

OUTPUT Ontology model, class hierarchies, governance rules
2.2

Graph Modeling

Choose and design the right graph model — property graph or RDF — fit to your queries, not a vendor default.

OUTPUT Schema design, node/relationship model, SHACL validation
2.3

Graph Transformation & Migration

Convert and migrate legacy graph data between RDF, RDF★ and LPG with a reason-coded, lossless audit trail.

OUTPUT Migrated graph, mapping rules, audit trail
03 / Connect & Enrich

Connect the graph to everything else — then surface the patterns hiding inside it.

3.1

Integration

Wire the graph into systems of record with ETL/ELT pipelines, APIs, federation and streaming sync.

OUTPUT Live pipelines, connectors, sync logs
3.2

Knowledge Processing & Enrichment

Resolve and link entities across systems, then enrich the graph with inference, correlation and provenance.

OUTPUT Resolved entities, enriched graph, provenance metadata
3.3

Graph Analytics & Intelligence

Surface hidden patterns with traversal, community detection, similarity and recommendation algorithms.

OUTPUT Pattern reports, dashboards, recommendations
04 / Activate & Govern

Put it in people's hands, prove it's trustworthy, and run it at scale.

4.1

AI Enablement & Analyzer

Ground LLMs and copilots in the graph with vectorization, semantic search and graph RAG.

OUTPUT Grounded answers, embeddings, knowledge assistant
4.2

Governance, Quality & Trust

Prove lineage, ownership and access control with SHACL validation, versioning and compliance auditing.

OUTPUT Lineage records, access controls, audit reports
4.3

Deployment & Managed Services

Take the graph to production — cloud, on-prem or hybrid — with monitoring, scaling and ongoing support.

OUTPUT Production deployment, monitoring, SLA-backed support

Engagement Models

Sized to how sure you are.

1–2 WEEKS
Assessment Sprint
We inventory your sources, assess graph-readiness, and scope the narrowest engagement that proves value — no commitment beyond the sprint.
4–10 WEEKS
Pilot
CWe model, build, and enrich a working graph against your real data, measured against the query or decision you actually care about.
ONGOING
Managed Build & Scale
We take the proven pilot into production — integration, governance, monitoring, and support included — and expand it enterprise-wide.

Tell us your challenge.
We'll combine the right capabilities to solve it.

Book a Demo →