Decision-grade data platforms under pressure
Platforms that accelerate regulated delivery, reduce operational and regulatory risk, and provide trusted data for critical decisions.
Microsoft Partner • Delivering for S&P Global
Built for high-stakes environments
We work with
- Tier-1 banks and investment banks
- Capital markets and trading infrastructure
- Institutional banking and asset management
- Regulators, central agencies, and market operators
Not a fit for
- Data cannot be trusted for regulatory reporting or risk decisions
- No single source of truth — inconsistent definitions across front, middle, and back office
- Regulatory exposure increasing due to data quality or lineage gaps
- Programs stalled after significant investment — no production outcomes
- Delivery too slow — teams cannot ship governed capability under time pressure
The problem we solve
Data cannot be trusted
Regulatory reporting, risk calculations, and trade surveillance rely on data that no one has confidence in.
No single source of truth
Inconsistent definitions across front, middle, and back office. Every team maintains its own version.
Regulatory exposure
Data quality and lineage gaps create material regulatory risk. Scrutiny is increasing.
Stalled programs
Significant investment consumed. No production outcomes. Executive confidence eroding.
Delivery too slow
Teams cannot ship governed, regulator-credible capability under real time pressure.
How we help
Recovery & Migration
Recover stalled data programs and execute migrations that preserve meaning — regulator-credible, production-grade.
M&A Execution
Separation and integration delivery where operational continuity and regulatory obligations cannot be interrupted.
Capability Enablement
Turn delivered platforms into durable business capability with governance, ownership, and operating models that endure.
What we deliver
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
- 1Strategy — define outcomes, constraints, and what "done" means
- 2Architecture — semantic alignment, governance model, platform design
- 3Delivery — build, validate, ship to production under pressure
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 engaged when data programs have consumed significant investment but failed to produce outputs the business can trust under regulatory or operational pressure. Our work stabilises delivery, enforces semantic clarity, and leaves behind governed platforms that reduce the cost of future change.
- Recovering stalled programs in live trading and regulatory environments
- Building decision-grade platforms under regulatory scrutiny
- Senior-led delivery — principals on the ground, not juniors with slide decks
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.
Built on trusted platforms
Frequently asked questions
What industries do you work with?
Capital markets, institutional banking, trading infrastructure, and regulatory environments. We work with tier-one banks, asset managers, market operators, and regulators where data governance and regulatory compliance are non-negotiable.