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About StratLytics

Decision Intelligence Platforms for Regulated and Operationally Complex Industries

We build AI-powered decision systems that help financial institutions, utilities, and industrial organisations operationalise analytical models in production — with governance, monitoring, and audit trails built in.

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What We Do
Build domain-specific AI platforms
Deploy governed decision systems
Embed model monitoring and audit trails
Integrate enterprise data pipelines
Operationalize ML models in production
3
Platforms
3
Industries
3
Countries
Trusted by organisations across financial services, energy, and supply chain
Cenlar Atmus Filtration Mulligan Funding OGMARA Jeni Real Estate Tata Consumer People Fund DigniFi MoneyMart
What We Build

Domain-Specific Decision Intelligence Platforms

Purpose-built platforms for specific industries — not generic dashboards or horizontal AI tools. Each integrates enterprise data, AI models, decision applications, and governance into a single operational system.

SLERA
Decision Intelligence for Financial Services

Acquisition decisioning, credit underwriting, portfolio risk monitoring, and model lifecycle governance for banks and lenders.

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SLIQ
Grid Intelligence for Energy & Utilities

Smart meter analytics, AI load forecasting, demand response optimisation, and grid operations intelligence for utilities.

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SLICE
Supply Chain Intelligence for Manufacturing

Demand forecasting, inventory optimisation, and supply chain risk analytics for manufacturing, retail, and industrial organisations.

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Our Approach

Platform + Implementation

We deploy purpose-built platforms — not consulting projects. Each platform is configured, integrated, and operationalised for the client's data environment, decision workflows, and governance requirements.

Our implementation teams work alongside client engineering, data science, and risk teams to ensure platforms are production-ready and delivering operational value.

Enterprise Data Integration

Connect core systems — banking, ERP, AMI, CRM — to a unified data platform with quality controls.

Model Lifecycle Management

Develop, validate, deploy, and monitor AI models with governed workflows at every stage.

Decision Application Deployment

Deploy AI-driven decision applications into production business workflows.

Monitoring and Governance

Embed model monitoring, drift detection, and governance for trust and regulatory alignment.

Global Presence

Engineering and Delivery Across Three Continents

Platform engineering, domain expertise, and client delivery across India, the United States, and the United Kingdom.

India
Platform engineering, AI development, and delivery operations
United States
Client engagement, financial services domain, and go-to-market
United Kingdom
European market, energy domain, and regulatory expertise
Our Approach

Built by practitioners who understand regulated and operationally complex analytics

StratLytics combines domain expertise, data engineering, machine learning, model governance, and production implementation experience. Our work focuses on enterprise decisions where accuracy, explainability, monitoring, and auditability matter.

Model risk & governance
Data engineering
Machine learning
Production implementation
Validation & audit evidence
Monitoring & observability
Methodology

How we work

01
Diagnose

Identify decision problems, data readiness, governance gaps, and value opportunities.

02
Design

Define the decision workflow, model architecture, integration pattern, and governance controls.

03
Deploy

Implement data pipelines, models, applications, monitoring, and platform workflows.

04
Govern

Support production monitoring, documentation, validation evidence, and continuous improvement.

Start with a focused diagnostic

Before platform implementation, StratLytics helps enterprise teams identify the highest-value starting point for governed AI and analytics.

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