Enterprise Maturity Platform

Where you stand.
What it costs.
How to BUILD

We connect your data sources, assess what's working, and surface exactly what to fix — evidence and data backed.

Knowledge Graph-enabledEvidence-cited scoring4 assessment areas
Assessments

Pick the area that hurts most. Measured by real data. Not declarations.

Each assessment ends with a live portal and a sequenced roadmap — data backed, priorities clear.

01
Data Engineering
Live

Are your data pipelines reliable, observable, and cost-effective — or are they the reason your teams don't trust the data?

Broken pipelines erode team trust, inflate cloud spend, and turn data into a liability. We find exactly where — and what it's costing you.

Book demo
02
Analytics
Live

Do your teams make decisions from data they actually trust — or are they working around dashboards they can't rely on?

When teams can't trust their dashboards, decisions slow down and workarounds multiply. We map what's broken and what needs to change.

Book demo
03
Data Governance
Live

Could you pass a compliance audit today — and prove your data is classified, controlled, and traceable end to end?

Unclassified data, uncontrolled access, and untraceable lineage turn compliance into a fire drill. We show you where the gaps are before an audit does.

Book demo
04
AI & ML Operations
Live

Are your AI models actually running in production — or are they still in notebooks waiting for infrastructure that never arrives?

Models stuck in notebooks don't create value. We identify the infrastructure, monitoring, and tooling gaps keeping AI out of production.

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How it works

Your data operations — AI-scored against hard evidence.

Three evidence streams. Every score cited to source — not a survey answer.

AI-guided
Executive interviews
AI agents interview your CDO, CTO, and team leads — same questions, same rigour, zero consultant paraphrase. Every answer traced back to its score.
Automated
Tooling scans
We read your actual stack — pipelines, warehouses, BI, CI/CD — not what your team says about it. Every scan is timestamped and re-runnable.
Cited
Artefact review
Architecture docs, runbooks, and incident logs read and scored against the rubric. Every finding links to the exact source — so nothing is taken on faith.
Assessment areas
Data pipelines & infrastructure
Measures: Reliability, cost, speed, observability
Data quality & trust
Measures: Accuracy, lineage, contracts
Governance & compliance
Measures: Classification, access control, audit readiness
AI & ML readiness
Measures: Models in production, Knowledge Graph, feature ops, responsible AI
Knowledge Graph — your data landscape
Assessment result
40
Overall maturity score
Data pipelines
62
Data quality
38 ⚑
Governance
31 ⚑
AI readiness
29
Score⚑ Ceiling — blocks progress until resolved
Engagement phases

Kickoff to live portal — structured, time-boxed, repeatable.

One engagement, one team, four phases — from first interview to live portal in weeks.

01Kickoff

Scope & access

We agree the scope, confirm stakeholder availability, and identify which artefacts are in play. Most engagements are collecting signals within the first week.

Output Scope agreed · interview schedule confirmed
02Evidence

Score & discover

AI agents conduct structured interviews with your CDO, CTO, and team leads — in parallel with tooling scans and artefact review. Every score traces back to a specific transcript, scan result, or document.

Output Scored interviews · scan results · cited artefacts
03Analysis

Synthesize

Raw scores become a structured maturity picture — capability ceilings, gap severity, and the business impact of each finding.

Output Ceiling map · gap severity · sequenced plan
04Delivery

Readout & portal

Live readout with your leadership team, a persistent client portal, and a methodology playbook your team owns. You leave with capability, not just a report.

Output Live portal · 3-horizon roadmap · playbook
Tour

The platform.

See it in action.

Narrated tour
Executive summary · ACME DEMA
15 axes · 129 scored items
40
Overall maturity L3 · 15 axes scored
47BUILD · L3
35TRUST · L2
46SCALE · L3
27ADVANCE · L2
BUILDTRUSTADV.SCALE
Maturity overview
15 axes · ceilings flagged
BUILD
01Pipeline Arch.L3
02ReliabilityCEILL2
03IngestionL3
04CI/CDL3
05StreamingL2
TRUST
06Data QualityL2
07GovernanceCEILL2
08MetadataL2
09ModelingL3
SCALE
10PlatformL3
11DataOpsL2
12FinOpsL3
ADVANCE
13Team & CultureL2
14AI/ML InfraL2
15CommercialCEILL1
AXIS 07 · TRUST
Governance, Security & Compliance
L1 Ungoverned
L2 Aware
L3 Controlled
L4 Embedded
L5 Trustworthy
28
Axis score
[A] Classification & Access · 35%22
[B] Regulatory Compliance · 30%30
[C] Audit & Breach Readiness · 35%32
Ceiling: unclassified PII — axis capped at L2 until resolved.
3-horizon roadmap
Effort · axes impacted · dependencies
0–6 MONTHS
H1 — Stabilise & de-risk
PII classification + maskingAxis 07 · removes ceilingGDPR
SLA dashboards · top 10 datasetsAxis 02H1
Governance classification rolloutAxis 15H1
6–18 MONTHS
H2 — Uplift & scale
Domain self-service platform v2Axis 10H2
Catalog + column-level lineageAxis 08H2
FinOps chargebackAxis 12H2
18–36 MONTHS
H3 — Differentiate
Feature store + ML lineageAxis 14H3
Semantic layer + certified productsAxes 09, 06H3
Commercial impact → boardAxis 15H3
Axis 15 — Commercial Impact
What should we do first?
COACHING
Start with the governance ceiling — it blocks three downstream axes until resolved.
Sources: pillar ADVANCE · ceiling · Roadmap H1
Explain
Coach
Suggested prompts
What 90-day experiments would you run?
Who needs to be in the room?
Which roadmap items hit this axis?
NarrationPress play to start the tour.
0:00 / 0:50
Chapters
01
Executive summary
Score · pillars · ceilings
02
Maturity overview
15 axes · ceilings
03
Axis drill-down
Evidence · ceiling rules
04
Roadmap
3 horizons · sequenced
05
Explain & Coach
Assistant on your data
Assistant

Explain & Coach — on your assessment.

Grounded in your scores. Every answer cites evidence.

E
Explain
Scores, ceilings, cited evidence.
C
Coach
Next moves, sequencing, quick wins.
Scoped
Portfolio → pillar → axis → item.
Assessment Assistant
Portfolio
Live demo
What you get

Three outputs every data leader actually needs.

Not a static report — a live portal with scores, evidence, and a sequenced plan.

Output 01

Evidence-backed scores

Every score cites the scan, artefact, or interview that produced it — no black-box ratings, no self-assessment.

Output 02

Ceiling map

Blocking issues surfaced explicitly — each ceiling shows what it prevents and what it takes to resolve.

Output 03

Prioritised roadmap

Initiatives sequenced by effort and dependencies — across three time horizons. Not a backlog, a plan your team can execute.

Why Datahounds

Practitioners — not spreadsheet theater.

01
Not a survey

Evidence-based scoring

AI agents interview your CDO, CTO, and team leads. Combined with tooling scans and artefact review — every score traces to a transcript, a scan result, or a document. Never a checkbox.

02
Not buried in a report

Ceilings surfaced explicitly

Blocking issues are flagged at the axis level — each one cited to the evidence that triggered it.

03
Not a PDF

Roadmap across three horizons

Initiatives sequenced by effort and dependencies — in a live portal your team keeps, not slides.

04
Not handoff consulting

One partner, assess to deliver

Same team from assessment through execution. Method transfers to your people when we leave.

Book a demo

30 minutes.
Live product.

We walk through a sample assessment on your screen — portal, scoring, and the AI assistant. No prep required, no obligation.

  • Live portal demo on a real assessment dataset
  • How scoring and ceilings work in practice
  • Q&A on your specific data environment and priorities

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