★ ★ ★ ★ ★ 4.9 Client Rated
TRUSTED BY THE WORLD’S MOST ICONIC COMPANIES.
★ ★ ★ ★ ★ 4.9 Client Rated
Migrate from monolithic core banking systems — including COBOL-based mainframes and on-premise platforms — to modern, cloud-native architectures without disrupting live operations. Our engineers apply proven strangler fig and parallel-run migration patterns to decouple critical banking functions incrementally, reducing operational and regulatory risk at every phase. We work across major platforms including Temenos Transact, Mambu, Thought Machine Vault, and Oracle FLEXCUBE, matching the right target architecture to your institution's scale, product portfolio, and compliance environment. Every migration phase includes rollback procedures, data reconciliation checkpoints, and validation testing to protect system integrity throughout the transition.
Expose core banking capabilities through secure, well-designed APIs that enable rapid product development and seamless third-party integration. We design and implement RESTful and event-driven API layers that abstract your core from customer-facing channels, fintech partners, and internal services. This decoupling accelerates time-to-market for new products — including embedded finance offerings, BNPL modules, and open banking services — while protecting the integrity of your core transaction engine. Our teams follow OpenAPI specification standards and enforce rate limiting, authentication, and versioning controls to ensure your API layer remains production-grade and maintainable from the first release.
Move your banking infrastructure to the cloud with full confidence in security, compliance, and operational continuity. We architect and deploy cloud-native core banking environments on AWS, Microsoft Azure, and Google Cloud Platform, applying containerization with Docker and Kubernetes to ensure scalability, resilience, and portability across environments. Our teams implement Infrastructure as Code using Terraform and AWS CloudFormation, automating deployments and eliminating configuration drift across production, staging, and disaster recovery environments. We also design multi-region failover architectures that meet the availability and recovery time objectives required by financial regulators and enterprise SLA commitments.
Upgrade your transaction processing capabilities to support real-time payments rails including ISO 20022, FedNow, SEPA Instant, and SWIFT gpi. We modernize the payment processing layer to handle high-throughput, low-latency workloads while maintaining full auditability and fraud detection integration. Our engineers build event-driven architectures using Apache Kafka and cloud-native messaging platforms that power real-time settlement, liquidity management, and cross-border payment flows at scale. We also design reconciliation frameworks and exception handling workflows that ensure operational resilience when transaction volumes spike — protecting both customer experience and regulatory reporting accuracy under peak load.
Unlock the value trapped in your core banking data by migrating from legacy data warehouses to modern, cloud-native data platforms. We design data mesh and lakehouse architectures that make customer, transaction, and product data accessible to analytics, AI, and compliance teams in real time. Our data engineers build ingestion pipelines and transformation layers that feed risk models, regulatory reporting engines, and customer intelligence platforms — converting your core banking data from an operational bottleneck into a competitive strategic asset. We support migrations to Snowflake, Databricks, BigQuery, and other major cloud-native warehouse environments.
Embed regulatory compliance and security controls directly into your modernized core — not as an afterthought. Our engineers design systems aligned with PCI DSS, SOX, GDPR, and applicable LATAM financial regulations, implementing encryption at rest and in transit, role-based access control, immutable audit logging, and automated compliance reporting as foundational components. We integrate fraud detection and AML transaction monitoring pipelines into your modernized architecture, and conduct security reviews at every delivery milestone. Compliance is treated as an engineering discipline throughout, ensuring your modernized platform satisfies regulators and internal risk committees from the first deployment.
Enable your institution to participate fully in the open banking ecosystem — as both a data provider and a platform for third-party innovation. We implement OAuth 2.0 and OpenID Connect authentication frameworks, design consent management systems, and build the integration layer that connects your core to fintech partners, payment service providers, and data aggregators. Our teams have delivered open banking integrations compliant with PSD2, Brazil's Open Finance framework, and CFPB Section 1033 requirements, positioning your institution to compete in a marketplace banking model and generate new revenue streams through API monetization.
Modernize your loan origination, underwriting, and servicing systems to meet the speed and experience standards set by digital-first lenders. We replace manual, document-heavy lending workflows with automated decision engines, digital onboarding flows, and real-time credit decisioning integrations — connecting your core to bureau data, open banking income verification, and AI-driven risk scoring models. Whether you're modernizing mortgage origination, consumer lending, SME credit, or BNPL infrastructure, our teams deliver end-to-end lending platform engineering that reduces time-to-decision, improves approval accuracy, and scales to support portfolio growth without proportionally increasing operational headcount or compliance overhead.
Validate the integrity of your modernized core at every stage with an engineering-grade quality assurance program purpose-built for financial systems. We build automated testing frameworks that cover functional correctness, data migration reconciliation, performance under peak load, security vulnerability scanning, and regulatory compliance validation. Our QA engineers specialize in banking domain testing — including transaction ledger reconciliation, interest calculation accuracy, payment processing integrity, and end-of-day batch processing validation — ensuring every release meets the exacting precision standards required by financial operations teams, internal risk committees, and external auditors before any production cutover is approved.
Reduce dependency on costly mainframe infrastructure by strategically offloading workloads to modern, cloud-native environments — without requiring a full core replacement in a single program phase. Our engineers assess your existing COBOL codebase, document business logic embedded in legacy batch processes, and execute targeted refactoring or replatforming to Java, Python, or cloud-native equivalents. We apply automated code analysis tooling to accelerate discovery and reduce the risk of logic loss during translation. The result is a progressive reduction in mainframe MIPS consumption, lower licensing costs, and a modernized codebase that your engineering team can own, extend, and maintain.
Embed AI and machine learning capabilities directly into your modernized core banking platform — enabling intelligent credit decisioning, real-time fraud detection, customer behavior modeling, and predictive risk management at production scale. We design and implement AI integration layers that connect your modernized core to machine learning inference pipelines, feature stores, and model monitoring infrastructure — ensuring that AI-generated outputs feed back into core banking workflows with the latency, reliability, and auditability that financial operations and regulators require. Our engineers bridge the gap between data science experimentation and production banking system integration, where the engineering standards are fundamentally more demanding than in any other industry.
Establish the program governance framework that keeps a complex, multi-workstream core banking modernization on track — managing dependencies, risk, stakeholder alignment, and delivery accountability across the full program lifecycle. We design governance structures that balance engineering autonomy with executive visibility, implement delivery tracking frameworks that give your leadership team an accurate, real-time picture of program status without creating reporting overhead that slows engineering teams, and run structured risk review cadences that surface emerging threats to program timelines before they become delivery failures. For institutions running first-generation core modernization programs, experienced program governance is frequently the difference between programs that complete and programs that stall.
Banco Patagonia and Banco do Brasil approached us with the need to develop a native mobile banking app for Android and iOS, specifically for Banco Patagonia’s corporate segment. The goal was to ensure robust and secure access for business clients on both major mobile platforms.
Our task was to enhance the performance of their existing mobile banking application while concurrently elevating the quality of the underlying codebase. This dual objective required a comprehensive approach to the application’s functionality and the intricacies of its code structure.
Banco Hipotecario needed to enhance user experience and security for its authentication and authorization processes without disrupting its business operations. The goal was to implement a solution that ensures robust security while maintaining a seamless user experience on its mobile apps and web portal.
Banco Patagonia recognized the need to transform its customer support infrastructure to meet the evolving expectations of its customers. They wanted a seamless solution to integrate the PADI chatbot across multiple platforms and channels, ensuring a consistent and practical user experience. To address this, they aimed to develop a Minimum Viable Product (MVP) featuring three key components: a human chat interface, a hybrid chat system, and an intelligent chatbot.
Ripley recognized the urgent need to modernize its Electronic Funds Transfer System (EFTS) to ensure seamless operations for its users in Chile and Peru. The existing system faced reliability issues, prompting Ripley to embark on a comprehensive overhaul. The objective was clear: to establish a robust and resilient EFTS that would consistently meet the evolving needs of customers in both countries.
Most financial institutions significantly underestimate the true cost of maintaining aging core banking platforms. Beyond direct infrastructure and licensing fees, legacy systems consume disproportionate engineering capacity through manual workarounds, integration patches, and incident management. McKinsey estimates that technology debt in financial services absorbs 10–20% of IT budgets annually — capital that could otherwise fund new product development, customer experience improvements, and competitive differentiation. The operational fragility of legacy cores also creates hidden risk: any major transaction event or regulatory change can expose structural weaknesses that patching and workarounds can no longer adequately address.
The competitive landscape has fundamentally shifted. Neobanks and embedded finance providers operate on cloud-native cores from day one, enabling them to launch new products in weeks rather than quarters. For incumbent institutions, the gap between what legacy infrastructure can deliver and what the market now expects is widening every year. Digital account opening, instant credit decisioning, real-time payments, and personalized financial experiences are baseline customer expectations in 2026 — not differentiators. Core banking modernization is no longer a long-term roadmap item; it is the foundational precondition for remaining relevant and competitive at scale.
One of the most effective strategies for core banking modernization is the strangler fig pattern — incrementally replacing specific functions of the legacy core with modern services while keeping the original system operational in parallel. This approach eliminates the risk of a big-bang cutover, allows engineering teams to validate new components under real transaction load, and gives institutions the flexibility to migrate at a pace aligned with their risk tolerance and regulatory obligations. It is the modernization model most widely adopted by financial institutions executing large-scale core transformation programs in production environments globally.
Wrapping the legacy core with an API layer — rather than replacing it immediately — is a practical first step that delivers measurable business value quickly. By exposing core functions such as account management, payment initiation, and product configuration through secure, well-documented APIs, institutions can accelerate partner integrations, achieve open banking compliance, and build modern digital front-ends without waiting for full core replacement. This decoupling separates the pace of product innovation from the pace of core migration, giving institutions competitive momentum while the longer-term core transformation program progresses on a carefully controlled timeline.
The global migration to ISO 20022 — the structured data standard now being adopted across SWIFT, FedNow, SEPA, and most major payment rails — is accelerating core modernization decisions at financial institutions worldwide. Legacy cores often require costly middleware to handle the richer, structured message formats that ISO 20022 enables. For many institutions, the cost of building and maintaining these translation layers now exceeds the investment required for full core modernization. Aligning your modernization roadmap with ISO 20022 adoption allows compliance and competitive benefits to be captured simultaneously, reducing the total program cost.
Financial institutions that have completed migrations to cloud-native core banking platforms consistently report significant operational improvements: faster product launch cycles, reduced infrastructure costs, higher system availability, and greater capacity to absorb transaction volume spikes without service degradation. The shift from fixed, on-premise infrastructure to elastic, cloud-based capacity also transforms the economics of banking technology — converting large capital expenditures into predictable operational costs. Institutions running on modern cores can provision new products, markets, and channels in days rather than months, fundamentally changing their competitive agility and ability to respond to market opportunities.
The core banking modernization market has a well-documented talent gap. The combination of deep financial domain knowledge, legacy system expertise, and modern cloud engineering skills required to execute a successful core migration is rare in the labor market. Institutions frequently find that the limiting factor in their modernization program is not platform selection — it is the availability of engineers capable of executing the migration safely and at speed. Nearshore engineering partnerships with financial services specialization have become the preferred model for closing this gap without the cost and time of expanding permanent headcount.
Regulators across the US, EU, and LATAM are increasing scrutiny of legacy technology infrastructure at financial institutions — and the pressure is translating directly into modernization urgency. Requirements around operational resilience, data portability, real-time reporting, and open banking APIs are increasingly difficult to satisfy on aging core platforms. In the US, CFPB Section 1033 rules on consumer data access and Federal Reserve participation in FedNow both impose direct technical requirements that many legacy cores simply cannot meet without significant architectural change. Regulatory compliance is becoming functionally synonymous with core modernization readiness.
The shift to a modern core banking platform unlocks a data opportunity that most institutions have not yet fully quantified. Legacy cores trap transaction, customer, and product data in formats that are difficult to extract, difficult to analyze, and impossible to feed into real-time AI and risk models. A modernized core — paired with a cloud-native data platform — makes that data accessible, enrichable, and actionable. Institutions that treat data architecture as a first-class concern within their modernization program gain a compounding advantage: every product decision, risk model, and customer interaction improves as the data foundation matures.
The business case for core banking modernization has strengthened significantly as AI capabilities have matured. A modernized, cloud-native core — with accessible, well-governed data and API-first architecture — is the prerequisite infrastructure for deploying AI applications that generate direct revenue and risk management value: real-time fraud scoring, AI-driven credit decisioning, personalized product recommendations, and intelligent customer service automation. Institutions still operating on legacy cores cannot connect these AI capabilities to their core transaction systems without expensive, fragile middleware. The modernization investment case is no longer purely defensive — it is increasingly framed as the enabling condition for an AI-driven competitive advantage that compounds over time as models improve.
The business case for core banking modernization has strengthened significantly as AI capabilities have matured. A modernized, cloud-native core — with accessible, well-governed data and API-first architecture — is the prerequisite infrastructure for deploying AI applications that generate direct revenue and risk management value: real-time fraud scoring, AI-driven credit decisioning, personalized product recommendations, and intelligent customer service automation. Institutions still operating on legacy cores cannot connect these AI capabilities to their core transaction systems without expensive, fragile middleware. The modernization investment case is no longer purely defensive — it is increasingly framed as the enabling condition for an AI-driven competitive advantage that compounds over time as models improve.
Demand for engineers with the specific combination of skills required for core banking modernization — financial domain knowledge, legacy system expertise, cloud-native architecture capability, and regulatory compliance fluency — is growing faster than supply in every major market. As more institutions simultaneously initiate modernization programs in response to competitive and regulatory pressure, competition for the same scarce engineering talent intensifies. Institutions that attempt to staff modernization programs exclusively through permanent hiring face twelve-to-eighteen-month recruitment timelines for senior specialists — timelines that are incompatible with the urgency most modernization programs now carry. Nearshore engineering partnerships with dedicated financial services practices have become the structurally preferred solution for institutions that need to field credible modernization teams at program speed.
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