Enabling Data Driven
Transformation
Analytix One was founded on a simple insight: We saw that bloated consulting firms only deliver presentations but no solutions. We wanted to change that. That's why we built a company that's fast, focused, and unafraid to get its hands dirty.
Our vision is to be the most trusted partner for financial institutions and organizations that seek clarity over complexity and solutions that last.
What We Do
Financial Services Consulting
Deep domain expertise. Zero learning curve.
We help banks, asset managers, and capital markets firms design, implement, test, and stabilize complex systems under real regulatory pressure.
Core Banking
Asset & Wealth Management
Capital Markets
Regulation & Compliance
We don’t “learn on the project”. We arrive knowing the systems, the data, and the regulatory constraints.
Data engineering & modern data platforms
Analytics dashboards & decision systems
AI/ML solution development across industries
Strong focus on BFSI use cases, but not limited to it
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Technology Consulting
From data foundations to AI in production.
Technology only creates value when it fits the business reality.
We help organizations turn fragmented data and ambitious AI ideas into reliable, auditable, production-ready systems.
Capabilities- How We Deliver
Business & Process
Analysis
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Business Analysis / Requirements Management
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Process Analysis & Improvement
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Target Operating Model
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IT Strategy and Cost Reduction
Software Testing & Quality Engineering
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Test Strategy development
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Functional Testing & SIT
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Test Automation & Regression
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AI enabled QA Automation,
Legacy Transformation (BFSI)
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Mainframe modernization for core banking and trading platform
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Post-merger integration
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Knowledge retention & operational resilience for critical systems
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Data harmonization across old and new stacks
AI Strategy, Implementation & Governance
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AI Strategy & Implementation
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AI Governance & AI Act
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AI MVP Development
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AI Innovation Management
What You Can Expect When Working With Us
If something is high-risk, we’ll tell you. If something shouldn’t be done with AI, we’ll say so.
Clear scope and responsibilities
Transparent assumptions and
limitations
Honest classification of AI risk (EU AI
Act)
Documentation that stands up to audits
