Clutch4.8/5 ★★★★★
Madgeek

Fintech software built for regulated financial environments — not a generic application with a payment form added.

Madgeek builds fintech software — payment platforms, lending systems, loan origination, wealth management tools, trading infrastructure, and AI-powered financial analytics — for fintech startups, financial services companies, and banks in the US, UK, and Canada. Compliance-first architecture. PCI DSS, SOC 2, FCA-aligned. AI included on every engagement. 50+ enterprise systems shipped since 2017.

8+ yrs

Building enterprise software since 2017

50+

Enterprise systems shipped across regulated industries

3

Production AI systems deployed in operations

4.8★

Clutch rating from verified reviews

Most fintech projects fail compliance review before they reach production.

Financial software is regulated at the federal level (OCC, FDIC, FRB, SEC, FINRA), at the state level (money transmitter licences, lending laws), and in some cases internationally (FCA, MAS, ASIC). The compliance requirements determine the architecture — not the other way around. Agencies that build SaaS products don't design for regulatory examination. The gaps show up in production, and regulators find them.

Payment processing is not a Stripe integration. A fintech company processing payments at scale has to handle fraud detection, dispute management, settlement reconciliation, reserve requirements, and regulatory reporting — all of which sit outside what a standard payment API provides. The integration is the easy part. The operational infrastructure around it is the system.

The data requirements in financial software are different from every other industry. Immutable audit trails, transaction-level reconciliation, real-time ledger updates, regulatory data retention — these aren't features you add. They are the foundation the system is built on. Applications that bolt them on after launch fail compliance audits and fail at scale.

Lending and credit products carry additional complexity. State-specific lending laws, TILA disclosures, Fair Lending compliance, credit bureau reporting, adverse action notices — each adds required functionality that generic application frameworks don't handle. Building on top of a platform that wasn't designed for lending means maintaining compliance workarounds forever.

Building fintech software that needs to pass regulatory scrutiny? Let's talk about what a compliance-first architecture looks like.

Book a 30-minute call

Financial software built on a compliance-first data model — not a general-purpose application framework.

We start with the regulatory requirements for your product type and your markets. Lending, payments, brokerage, wealth management, and insurance all have different compliance obligations. The data model, the audit trail, and the transaction ledger are designed to meet those obligations before the first feature is built.

AI is included on every engagement. Credit risk scoring with explainable models for adverse action compliance, fraud detection with real-time transaction monitoring, document processing for KYC/AML verification, anomaly detection in transaction data — built for production and audit review. Every AI feature in a financial services context includes the explainability and documentation required for regulatory examination.

Senior engineers in India with a US office in Irvine, California. The team that designs the compliance architecture is the team that ships it. We've built for regulated enterprise environments for 8+ years — including publicly listed companies with strict audit requirements.

What we build for fintech.

Payment platform architectureSettlement, reconciliation, dispute management, reserve tracking — built for scale, not a demo
Lending systemsOrigination, underwriting, servicing, credit bureau reporting, regulatory disclosures — full cycle from application to payoff
Wealth management and investment toolsPortfolio management, client reporting, regulatory filing, fee calculation — built for RIAs and emerging wealth platforms
KYC/AML compliance infrastructureIdentity verification, sanctions screening, SAR/CTR reporting workflow — Bank Secrecy Act and FinCEN-ready
AI-powered credit and fraud modelsProduction-grade, explainable, audit-ready — adverse action reason generation built into the decisioning workflow
PCI DSS, SOC 2, and FCA-aligned architectureCompliance designed in from day one — not certified after the fact

We build for regulated, complex environments. Fintech is the same engineering challenge.

Compliance-grade audit trails, immutable transaction records, complex business rules, multi-role access control, and integration with legacy financial systems — these are the engineering problems we've solved across regulated industries for 8+ years.

Tejas Networks: enterprise platform in a regulated environment

Situation: A publicly listed telecom equipment manufacturer ran multi-level purchase requisition approvals on paper forms. Physical sign-off at each tier. Finance and operations had no visibility into pending, approved, or blocked requests. Strict compliance requirements for audit trails and access control.

What we built: We built a purchase requisition platform with role-based approval chains, configurable escalation rules, real-time dashboards, and full audit trail on every transaction. Compliance-grade access control with department-level permissions and multi-tier approval workflows.

90%

90% reduction in paper-based approvals

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AI in production operations: 50 to 80+ agents in 3 months

Situation: A growing operations team needed to scale quality assurance from 50 to 80+ agents without adding management headcount. Manual monitoring couldn't keep pace with growth, and quality consistency was slipping.

What we built: Custom AI-powered monitoring with automated scoring, performance dashboards, and workflow tooling. The AI system processes every interaction, flags quality issues, and surfaces patterns — replacing manual review at a fraction of the headcount cost.

50

50 → 80+ agents scaled in 3 months

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Manufacturing ERP: complex business rules with audit trails

Situation: A manufacturer needed a custom ERP to handle non-standard cost estimation, procurement workflows, and production scheduling. Off-the-shelf ERP systems couldn't model their pricing rules or approval hierarchies.

What we built: Purpose-built ERP with configurable business rules, multi-level approval chains, real-time cost tracking, and full audit logging. Every calculation traceable. Every approval recorded. Integration with existing accounting and inventory systems.

Complex

Complex business rules + full audit trails

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What we build for fintech companies and financial services.

Every fintech engagement is different. Here's the range of what we build — configured to your product type, regulatory obligations, and integration landscape.

Payment and Embedded Finance Platforms

Payment processing infrastructure with fraud detection, settlement, reconciliation, dispute management, and regulatory reporting. Built for scale, not for an MVP demo.

Lending and Credit Systems

Loan origination, underwriting workflow, credit decisioning, credit bureau integration, servicing, and regulatory disclosure management. Full-cycle from application to payoff.

Wealth Management and Investment Tools

Portfolio management, performance reporting, client portal, fee calculation, and regulatory filing integrations. Built for RIAs, family offices, and emerging wealth management platforms.

KYC/AML and Compliance Infrastructure

Identity verification, document validation, sanctions and PEP screening, transaction monitoring, and SAR/CTR reporting workflow. Built for Bank Secrecy Act compliance and FinCEN reporting requirements.

Three concerns fintech companies raise.

"We need PCI DSS Level 1 compliance. Can you build to that standard?"

Yes. PCI DSS Level 1 compliance is an infrastructure and application architecture requirement. We design the cardholder data environment from the ground up — network segmentation, encryption key management, access controls, audit logging, and vulnerability management. We work with your QSA to produce the evidence required for the annual assessment. Compliance is built in, not certified after the fact.

"Our product needs FCA authorisation in the UK. Does your team understand UK financial regulation?"

Yes. FCA regulatory requirements affect the product's architecture in specific ways — CASS rules for client money segregation, conduct of business requirements, financial promotion rules, and operational resilience requirements. We've worked with UK-facing financial products and understand how regulation translates to technical requirements. You need a solicitor for legal sign-off; we handle the engineering side.

"How do you handle sensitive financial data in development environments?"

Production financial data never touches development or staging environments. We use synthetic data sets that mirror production schema without containing real account numbers, transaction histories, or PII. Production environments are isolated, access-controlled, and logged. We can deploy on AWS, Azure, or GCP using architecture that supports your compliance documentation.

How fintech engagements work.

Every engagement follows the same structure — with compliance built into every stage, not added at the end.

01
Discovery call (30 min)
We understand your product type, your target markets, and the compliance requirements that govern your architecture.
02
Scoped proposal
We return with a defined architecture approach, scope, timeline, and cost. Compliance requirements are reflected in the estimate — not discovered later.
03
Compliance architecture review
Before writing code, we walk through the data model, audit trail design, and regulatory reporting structure with your technical and compliance teams.
04
Phased delivery
Two-week sprints. Working software at each milestone. Regulatory documentation produced alongside the code.

Enterprise systems we've shipped.

Production platforms for regulated industries, complex workflows, and enterprise operations — built and maintained long-term.

AI / MLEnterprise SoftwareContact CentreCustom Software

AI Call Center Software for Quality Monitoring

Enterprise client

A contact centre operation was scaling rapidly but had no automated way to monitor agent call quality at volume. Madgeek built custom AI call center software that scored agent calls against domain-specific criteria, surfaced coaching opportunities, and tracked performance trends in real time. The result: the operations team scaled from 50 to 80+ agents in 3 months without adding QA headcount.

50→80+

agents scaled in 3 months

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Quality Assurance Monitoring System
Enterprise SoftwareProcurementManufacturingWorkflow Automation

Custom Purchase Requisition Software for Enterprise

Tejas Networks Ltd.

A publicly listed telecommunications manufacturer was running procurement entirely on paper forms and manual approval chains. Madgeek built custom purchase requisition software with automated approval routing, purchase order generation, real-time inventory tracking, and document management. The result was a 90% reduction in paper-based approvals and full visibility across the procurement lifecycle.

90%

reduction in paper-based approvals

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Custom purchase requisition software
SaaS PlatformCall Center SoftwareODC ModelUS Client

Call Center SaaS Platform — ODC Partnership

Lead Tact

Lead Tact, a US-based call center SaaS company, needed a dedicated engineering team to build their platform from scratch — not a one-time vendor build, but an ongoing ODC partnership. Madgeek's dedicated team built and maintains the full product: dynamic call scripts, automated QA monitoring, real-time client portals, analytics dashboards, and lead management workflows. The same engineers from month one are still on the product, shipping features on Lead Tact's sprint cadence.

50%

reduction in admin time for call center operations

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Custom software development for AI Voice agents
Abhijit Das
Abhijit Das
Founder & CEO, Madgeek

Common questions about fintech software development.

A focused lending origination workflow or payment integration takes 16–24 weeks. A full lending platform with credit bureau integration, regulatory disclosure management, and servicing takes 32–52 weeks. We build in two-week sprints with working software at each milestone.
Yes. Plaid for account aggregation and income verification, Stripe and Adyen for payment processing, Experian/Equifax/TransUnion for credit bureau data, Persona and Jumio for KYC — these are standard integration points. We handle the integration layer, error handling, data mapping, and the business logic that sits on top of the API.
Yes. Fair lending compliance for AI credit models requires explainability — the model needs to produce reasons for adverse actions in a format that meets ECOA and FCRA requirements. We build models using explainable AI techniques (SHAP values, rule extraction) and integrate the adverse action reason generation into the decisioning workflow. Every model includes documentation for regulatory examination.
We evaluate these on a case-by-case basis. DeFi infrastructure and token-based products carry regulatory uncertainty in the US that affects the architecture in ways that are still evolving. Stablecoin payment infrastructure, tokenised asset platforms, and institutional crypto custody tools — yes. Retail-facing speculative token products — no.
You do. Full source code, all IP, complete documentation. No lock-in.

Have a question we didn't cover?

Talk to us directly — no forms, no sales reps.

Book a 30-minute call

Start with a compliance architecture review — not a feature estimate.

We review your regulatory requirements and product model before we scope anything. Discovery calls are 30 minutes. Proposals arrive within 5 business days.

Book a discovery call