01 / What it is

Connection, not construction.

Your existing data warehouse, lakehouse, operational systems and SaaS tools stay where they are. We do not propose to move them, replace them, or migrate them. The risk and cost of doing that have killed more transformation programmes than the underlying problem ever did.

Instead we build a thin governed graph on top. Federated connectors to your existing systems. A unified ontology. Access controls enforced at query time. An audit trail that survives a regulator visit.

The data still lives where it lives. Your AI agents now have one place to ask, with one set of rules and one citable source of truth.

↳ The semantic stack
AGENT“Why did margin slip?”04 · CONTEXT GRAPHThe subgraph the agent actually queries at decision time03 · KNOWLEDGE GRAPHEvery entity in the business and how they connect, governed02 · ONTOLOGYWhat “customer”, “product”, “claim” actually mean. Versioned, agreed.01 · RAW DATACRM · ERP · data lake · SaaS · spreadsheets · five definitions of “customer”
Each layer adds meaning. The agent reasons against the top one.
02 / What we build

Six layers, one foundation.

LAYER 01

Federated connectors

Snowflake, Databricks, Azure, AWS, on-prem Oracle, Salesforce, SAP, ServiceNow. Whatever you have. Read-only by default, write paths only where business logic demands it.

LAYER 02

Ontology

One agreed definition of every entity that matters. Customer, product, transaction, claim, asset. Versioned in OWL or SHACL. Reviewed by the business, owned by the CDO.

LAYER 03

Knowledge graph

The full instantiated graph. Every customer, every transaction, every relationship, governed and queryable. RDF, property graph or hybrid, depending on your stack.

LAYER 04

Context graph layer

When an agent asks a question, it gets back a focused subgraph relevant to that question, not a vector blob. The agent reasons. We cite the path back to source.

LAYER 05

Access & lineage

Row-level and entity-level enforcement at query time. Every inference logged with its supporting subgraph. Article 12 traceability built in, not bolted on.

LAYER 06

Operations

SRE-grade monitoring, on-call, runbooks. Built so your team owns the platform from day 90, not day 900.

03 / Standards

Open by design.

Every artefact we produce is in an open standard you could maintain without us. We do not believe in proprietary ontology formats, captive query languages or closed graph engines.

04 / Timeline

First value in 90 days. Always.

We do not start projects we cannot demonstrate value from inside one quarter. If a 90 day first value horizon is not achievable, the project is too big and we need to break it into smaller foundations.

A typical engagement runs 3 to 6 months with a small embedded team (usually 2 to 4 of our engineers working alongside 2 to 6 of yours). Larger enterprise foundations run longer, but always with a 90 day first-value milestone built in.

First value in 90 days

Want a foundation that does not need rescuing in 18 months?

Book a call. We will scope a build that fits the foundations work to your existing systems, not the other way around.

Book a meeting →