Struggling to deliver business outcomes and strategic data & AI initiatives?
We help organisations turn strategic intent into delivered capability — stabilising cost, scope, timelines, and regulatory risk when large, complex programs stall.
Built on trusted platforms
Built for regulated enterprises
We work with
- Banks and investment banks
- Asset managers
- Market infrastructure providers
- Regulators and central agencies
Not a fit for
- Startups wanting demos
- Tool-first pilots
- UI-only AI work
The challenges we address
AI POC purgatory
Pilots that never reach production. Proofs of concept that prove nothing.
Untrusted platforms
Data exists but nobody uses it. Platforms are built but outputs are not trusted.
Expensive change
Every change is a rewrite. No reuse, no leverage, no compounding value.
Migration meaning loss
Moving rows but losing semantics. Transport without understanding.
Two things, done well
Traditional Approach
- Delivery modelPOC that never scales
- Data assetsDisposable pipelines
- SemanticsLost in translation
- Change costEvery change is a rewrite
- AI readinessUngoverned, untrusted
Atheryon Approach
- Delivery modelProduction from day one
- Data assetsReusable data products
- SemanticsCanonical model preserved
- Change costGoverned evolution
- AI readinessValidated, lineage-tracked
How we work
- 1Frame problem & constraints
- 2Model alignment (canonical semantics)
- 3Extract/ingest + validate
- 4Deliver production capability
- 5Abstract into reusable data products
What done looks like
- Schema documented and versioned
- Validation rules explicit and enforced
- Ownership and lineage clear
- Consumption patterns defined and controlled
Credibility without logos
We recover what others abandon
We are often engaged when data initiatives have consumed significant investment but failed to produce trusted, reusable outputs. Our work focuses on stabilising delivery, clarifying semantics, and leaving behind governed data products that compound over time.
- Recovering stalled programs
- Extracting data products from complex platforms
- Model-led migration that preserves meaning
Case Study Visual
Artefacts, not claims
Canonical data model layer
Shared semantics that enable reuse across capabilities.
Bronze/Silver/Gold pipelines
Progressive refinement with validation at each stage.
Governance + AI consumption
Controlled access patterns for safe AI integration.
Frequently asked questions
What industries do you work with?
We work primarily with regulated enterprises—banks, investment banks, asset managers, market infrastructure providers, and regulators. Our expertise is in financial services where data governance and regulatory compliance are critical.