UNIVERSAL SEMANTIC LAYER FOR FINANCIAL SERVICES
The governed Semantic Layer: Financial intelligence with lower cloud costs
Mosaic unifies data across risk, finance, operations, and customer platforms—establishing a single governed source of truth that cuts compute costs and delivers AI-ready insights at scale.
PORTABILITY WITHOUT COMPROMISE
Your data shouldn’t be locked inside siloed systems or controlled by any one vendor
Financial institutions run on a complex web of systems — Core Banking Platforms, Trading Systems, Claims Processing, CRM (e.g., Salesforce), Snowflake, AWS, Azure, Power BI, Tableau, and proprietary data lakes.
Mosaic brings them together into one universal semantic layer that:
- Runs on any cloud or on-prem environment
- Connects to every major Core System, CRM, Data Warehouse, and Risk Platform
- Lets teams work in their preferred BI and AI/ML tools (e.g., Python, R)
- Maintains regulatory governance and consistent definitions everywhere
Your users stay in the tools they love.
Your data finally starts speaking the same language.

BUILT FOR THE BUSINESS, AI-NATIVE AT THE CORE
Stop waiting on IT for every metric, data pull, or regulatory-ready report
Risk, Finance, and Customer Experience teams need fast, trustworthy insights — but traditional data pipelines and manual compliance checks slow everything down.
Mosaic changes this with an AI-powered modeling layer that:
- Automatically transforms raw transaction data into governed, business-ready metrics
- Standardizes definitions for
- Gives analysts the ability to define metrics and features in plain language
- Ensures every dashboard, forecasting model, and anti-money laundering (AML) system is explainable and audit-ready
From Basel IV and CECL/IFRS 9 compliance to personalized outreach — Mosaic delivers consistent answers anywhere you ask the question.
COST EFFICIENCY THROUGH UNIFIED GOVERNANCE
Disconnected data is expensive. Mosaic makes it efficient.
Duplicate pipelines, inconsistent reporting across business lines, multiple BI tools, and runaway cloud compute quickly drain institutional budgets.
Mosaic cuts these costs by centralizing governance, logic, and access controls in one universal layer — allowing institutions to:
- Eliminate redundant data preparation and transformation scripts
- Reduce compute costs with Mosaic’s in-memory acceleration for heavy queries
- Standardize definitions once for use in both regulatory and management reporting
- Consolidate BI spend across global divisions
Institutions using Mosaic achieve 35–40% reductions in BI + infrastructure spend while improving compliance and security.
Trusted analytics. Smaller budgets. Zero usage fees.

Meet Strategy Mosaic: the Universal Semantic Layer you can trust
Mosaic solves financial services' biggest data challenges:
Moving seamlessly across core banking and trading systems
Delivering AI/ML-ready features without IT bottlenecks
Reducing regulatory reporting and cloud compute costs at scale
With a single governed semantic layer, your institution gains consistent, explainable analytics across every user, tool, and division — powering modern risk, compliance, and customer intelligence with confidence.
Key capabilities of Mosaic
Rich Semantics + Business Definitions
Standardize KPIs across Credit Risk, Customer 360, Liquidity, and Financial Crime for consistent, unified reporting.
In-Memory Processing & Virtualization
Accelerate real-time fraud checks and complex risk models with cross-system virtualization and Mosaic’s no-usage-fee in-memory engine.
Business-Friendly, AI-Powered Modeling
Automatically generate explainable metrics and features—accessible to both technical and non-technical users for model development.
Optimized Universal Access
Connect seamlessly to 200+ systems including Murex, Temenos, Salesforce, Snowflake, AWS, Power BI, Tableau, and Python environments.
Governance & Single Pane of Glass
Centralize lineage, metadata, permissions, and audit controls across your entire data estate for regulatory assurance.
Portable & Independent
Deploy on any cloud or on-prem architecture — avoid vendor lock-in and maintain interoperability with existing investments.
Mosaic demos
Explore how Mosaic unifies enterprise financial data and enforces regulatory governance within a single, reusable workflow.

How Mosaic works?
Strategy Mosaic harmonizes your data landscape — from trading platforms, core banking, CRM, risk systems, and HR data — into a single, trusted semantic model.
Mosaic continually validates data quality, applies standardized regulatory and business definitions, and enforces governance policies with fine-grained access controls.
Your teams receive AI-ready, governed insights directly inside the tools they use daily (Python, Tableau, Power BI), all without duplicating data or rebuilding pipelines.
Why Strategy Mosaic for financial services
1
Trusted Intelligence Under Tight Governance
Ensure consistent definitions across financial systems—reducing reporting errors and strengthening regulatory and audit compliance.
2
AI Clarity for Academic and Operational Decisions
Enable explainable AI for credit risk modeling, personalized product recommendations, and anti-fraud detection, powered by governed semantic intelligence.
3
Regulatory Confidence
Support GDPR, CCPA, and global financial policies with unified lineage, secure access, and governed sharing across jurisdictions.
4
Lower Cost of Ownership
Eliminate redundant regulatory and management reporting pipelines and tool sprawl — reducing compute and storage costs with a single semantic foundation.
5
Vendor Freedom and Portability
Run on AWS, Azure, GCP, or on-prem — avoid lock-in while maintaining performance, governance, and interoperability across technology generations.
Whitepaper
Governance-first: The foundation for trusted, scalable AI + BI in financial services
See how Mosaic helps institutions turn fragmented systems into a single source of governed truth—powering AI that’s accurate, auditable, and ready to scale across the enterprise.

See Mosaic in action
Book a custom Strategy Mosaic demo and learn how to unify financial, risk, and customer data for scalable, secure, AI-powered analytics.