ASTRA
Offerings

We advise. We build. We supply.

Three ways to engage ASTRA — a decision you can act on, a system that runs, and the signal your estate cannot see. The same house does all three.

The three offerings

Named, so you can ask for them.

Advisory decides what is worth doing. Implementation makes it run. Data as a Service feeds it with the outside view.

WORTH DOING
01WE ADVISE.

Data & AI Advisory

Consulting that ends in a decision you can act on.

Where you stand
The landscape as it actually is — systems, data, people, regulator.
What is worth doing
Challenges ranked; a plan with sequence and cost — including what not to do.
How you will know it worked
Measure and ROI logic stated before the work starts.
  • AI-Readiness Assessment
  • AI-Value Discovery
  • Enterprise Knowledge Base
  • Enterprise Ontology
  • AI & Data Governance
  • Optimisation
  • Target Operating Model

Advice from people who build — research-current at one end, delivery-tested at the other.

The Enable programme

DESIGNBUILDTESTDELIVEROPERATE
02WE BUILD.

Implementation

The full cycle, by the same house that gave the advice.

One house, both halves
The team that advises is the team that ships.
Tested as first-class work
Testing runs through the cycle, not at the end of it.
Operated, not abandoned
Delivery includes who runs it, and what happens after we leave.

Working systems in operation — designs that ship.

Forward Deployed Engineers · The accelerator toolkit

SOURCEDANY ENGINEPUBLIC SIGNAL
03WE SUPPLY.

Data as a Service

External signal your estate cannot see, as a subscription.

Signal not easily reached
Public conversation and record, curated into intelligence.
AI-ready, engine-agnostic
Structured for whatever AI you already trust. Change vendors; keep the data.
A hard boundary
Your data never enters our system. Every delivery carries its sources.

The outside view, delivered ready to use.

Case studies

The climb

A legacy estate, made AI-ready.

One engagement pattern, drawn end to end. Five rungs, each buyable alone.

THE ESTATE AS FOUNDRAWCLEANSEDGOLDLAKEHOUSECLIENTPRODUCTPOLICYONTOLOGY · THE CRITICAL STEPOPERATEDCONTRIBUTION · GOVERNANCEENTERPRISE CONTEXT LAYERFORECASTKAG-CLASSAGENTICAPPLICATIONS ON TOP
  1. 01

    The estate as found

    “Our data is everywhere except where we need it.”

  2. 02

    Cleanse, curate, land

    Plumbing done once, done right.

  3. 03 · THE CRITICAL STEP

    Ontology on the gold layer

    What makes enterprise context right for the hardest AI, not just search.

  4. 04

    The context layer, operated

    Next year's answers better than this year's.

  5. 05

    Applications on top

    The pay-off layer.

Rung three is where most AI programmes quietly fail: without the ontology — how clients, products, policies and channels actually relate — a model can search your documents but cannot reason across your business. We treat it as the critical step, and we operate the layer after we build it.

On top

What stands on the layer.

Three application families, one shared foundation — curated, related, sourced.

HISTORY → FORECAST

Decision science & forecasting

Models that finally agree with the business, because they read the same curated layer.

  • Demand & sales forecasting
  • Stock & replenishment optimisation
  • Price elasticity & promotion uplift
  • Churn & customer-lifetime value
  • Anomaly & fraud detection
  • Cash-flow forecasting
  • Predictive maintenance & quality
SOURCESANSWER · WITH PROVENANCE

Knowledge-grounded chat & dashboards

Conversational answers and live views that reason across systems — grounded in your knowledge, with every answer carrying its sources.

KAG-class retrieval and reasoning over the context layer.

In the toolkit: ASTRA Forge

GOVERNED

Agentic applications

Governed working software on the same substrate — each one a door you open when you are ready.

  • Software testing
  • Business-process QA
  • Finance operations
  • People operations
  • Compliance operations

In the toolkit: ASTRA QA · ASTRA Gate

Enterprise context layerone layer beneath — curated, related, sourced
Start

Begin with the ground truth.

Most engagements start small: an assessment that tells you what you would actually be building on, or a bounded first slice of the work. Small enough to approve, real enough to judge.

Start a conversationSee the delivery record