Faster KYC reviews, cleaner risk reports and earlier fraud alerts.
We build the data, automation and AI behind KYC and AML reviews, regulatory reporting and fraud detection. We modernize older applications in stages, and we supply engineers who already know how banks work.
Four problems we hear from banks and financial firms
Each one ties up skilled people in manual work.
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KYC, AML and regulatory reporting take too much manual work
Analysts gather documents, run screening steps and assemble reports by hand. We automate document intake, screening workflows and report assembly and log every action for audit. Analysts then spend their time on the cases that need judgment.
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Fraud is caught too late
Rules that run overnight find fraud after the money has moved. We build data pipelines and models that score transactions and accounts as they happen, and send alerts to your investigators with the reasons attached.
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Risk and finance data live in too many places
When the same number comes from three systems, reports do not reconcile. We bring risk, finance and customer data into one governed data layer with clear lineage. Reports agree, and auditors can trace every figure to its source.
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Older applications are slow and expensive to change
Core and customer-facing applications built decades ago hold back every new product. We modernize them in stages, behind the interfaces your teams and customers already use, and the business keeps running during the move.
What we build for financial firms
Six capabilities, each connected to the core banking, trading, payments and reporting systems you run today.
- Regulatory and risk data
- Governed pipelines and reporting with lineage, for regulatory filings and internal risk reports.
- KYC and AML automation
- Document intake, screening workflows and case preparation, with every step logged.
- Fraud detection
- Models and rules that score activity as it happens, with alerts your team can explain.
- Application modernization
- Digital banking and back-office applications rebuilt in stages, without a big-bang cutover.
- Security engineering
- Access controls, data protection and security reviews built into delivery from the first sprint.
- Engineering talent
- Data engineers, developers and analysts who know financial services, placed on your teams quickly.
Who we work with
The tools are similar. The rules, data and scale differ by line of business.
- BanksRetail and commercial banking: KYC, AML, fraud and digital banking.
- Capital markets firmsTrade and risk data, regulatory reporting and reconciliation.
- Wealth and asset managersClient, portfolio and performance data in one view.
- Payments companiesReal-time fraud scoring and transaction data pipelines.
How a financial services engagement runs
Four phases, planned around your controls, change windows and audit calendar.
- 1
Assess
We review your data sources, controls, manual steps and the reports that take longest to produce.
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Design
We plan one connected architecture with timeline, team and cost, and agree controls with your risk and compliance teams.
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Build and integrate
We build the pipelines, models, automations and applications, with test evidence your auditors can read.
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Improve
After go-live we monitor, tune and hand over runbooks your teams can own.
Why financial firms work with us
Regulated work needs a partner who treats controls as part of the build.
- Controls in the design
- We plan access, logging, lineage and model review with your risk team before we build.
- Built on the systems you already run
- We extend your core platforms and reporting tools, and replace parts only in planned stages.
- A certified diverse supplier
- Infinity Tech Group is certified women- and minority-owned, which counts toward supplier diversity goals.
From our founder
Kamlesh Ranka founded Infinity Tech Group in 1999 to connect new technology with measurable business outcomes. He has led its client work for 27 years.
Talk to us about your compliance and risk data
A 30-minute call with a data and automation specialist. We will look at your reporting, screening and fraud workflows, and you leave with clear next steps.