Azati modernizes regulated Java systems that cannot stop running, from Java 8/11 monoliths to AI-ready, cloud-native platforms, without disruptive rewrites. We provide modernization squads, not staff augmentation. Expect production outcomes, not pilots.
Azati modernizes long-lived Java systems in regulated and operationally complex environments.
Azati doesn't sell pilots and walk away. We've stayed in production on Java estates through 5+ year engagements, across team handovers, infrastructure migrations, regulatory shifts, and a global pandemic. Several of our flagship Java programs have run non-stop since 2020 or earlier.
We refuse engagements we can't deliver. If the right answer is a Spring AI prototype, we don't sell you a five-year platform rebuild.
Retained engineering knowledge across audit cycles, regulator reviews, and platform shifts.
Code, architecture decisions, and migration runbooks documented from day one, your team can take over if and when you want. Full IP ownership stays with you.
Test coverage, monitoring (Prometheus/Micrometer/OpenTelemetry), incident response procedures, and CI/CD treated as deliverables, not afterthoughts.
All case studies described are under NDA. This is why client names are withheld unless explicitly permitted. Outcomes are verified, with regional context noted where relevant.
The client needed to transfer clearing-contract intake functionality from a legacy system into a new platform, and do it on the modern Java stack, with regulator-grade observability and security.
Many of the world's largest banks still run mission-critical trading and core systems written in Smalltalk in the 1990s. Our client built a pipeline that automatically converts these systems to modern Java, and Azati's team developed and maintained large portions of that conversion pipeline itself.
Lead international sports data and media organization, building the data infrastructure behind one of the world's most-watched broadcasting and data ecosystems.
The need to give end consumers 24/7 secure access to policy details, billing, claims, and quotes, without growing the call center. Azati delivered a Java-based portal with role-based access control, multi-factor authentication, a 360° customer view, online policy management, claims submission, instant quote generation, and a self-service Knowledge Center.
Customer data was fragmented across separate departmental systems, blocking marketing campaigns, slowing sales pipeline reporting, and inflating software licensing costs. Azati built a unified CRM with integrated Master Data Management, centralizing customer records, automating data synchronization and deduplication, and replacing legacy point tools.
A monolithic backend was causing 15-second load times in the mobile banking app, eroding customer trust and blocking new features. Azati audited the system, identified bottlenecks in the data bus, SQL layer, and gateway service, then decomposed the monolith into independent microservices.
Automating client benefit calculations and free-service eligibility across mobile and web banking. Azati built a modular backend with dedicated microservices for tariff catalog, calculation, queue processing, and configuration. Synchronous communication with external systems was handled through IBM MQ. Azati's test-driven development minimized risk during integration with the bank's dual-VPN infrastructure.
The client digitizes vast volumes of complex engineering documents, pipeline layouts, industrial plans, manufacturing schemes, and maps. Manual processing couldn't scale. Azati built a cloud-hosted AI system combining custom OCR, computer vision, and ML for template recognition, data extraction, metadata enrichment, error detection, and performance monitoring.
Azati helps through the first steps. We’ll walk through your specific bottleneck, performance, regulatory readiness, AI integration, cloud cost, or stuck legacy migration.
Request architecture reviewTypical challenge
For enterprises modernizing heavily loaded Spring, JSF, or EJB systems without disrupting production.
What Azati handles
Typical outcomes
Best fit
CTOs and platform leaders managing 12–36 month modernization programs.
Typical challenge
For organizations that need AI capabilities inside existing Spring ecosystems, not isolated AI pilots.
What Azati handles
Typical outcomes
Best fit
Fintechs, insurers, and regulated enterprises adopting AI under compliance constraints.
Typical challenge
For teams facing rising JVM infrastructure costs or scaling bottlenecks.
What Azati handles
Typical outcomes
Best fit
Platform engineering and FinOps teams operating real-time transaction or streaming systems.
Typical challenge
For enterprises operating under US and EU regulatory pressure.
What Azati handles
Typical outcomes
Best fit
CISOs, compliance leaders, and regulated engineering organizations.
Azati’s dedicated modernization squads, including Java architects, senior backend engineers, QA, DevOps, and delivery leadership, operate as an autonomous unit on your modernization roadmap. Full IP ownership stays with you. Stack alignment with your existing systems. First sprint within 2–4 weeks of engagement start. Multi-year continuity supported by overlapping team rotation, not single-person dependencies.
Azati’s individual senior Java engineers integrate into your existing team for specialized capability, Spring AI integration, performance tuning, regulated-architecture review, Java 21/25 migration guidance, and OAuth2 / Spring Security uplift.
Azati’s US legal entity is in Livingston, NJ, USA. Our EU legal entity and primary R&D center are in Warsaw, Poland, with nearshore delivery capability across the Baltics, Benelux, DACH, the Nordics, and all of Europe. Teams operate in overlapping time zones to support both US and EU stakeholders, as well as Australia and LatAm upon request.
Azati's Java practice focuses on regulated and operationally complex sectors where production reliability is non-negotiable.
US fintech and EU Banking, Financial Services, and Insurance
Grouped by what you'd use it for. This is what we actually run in production, not a marketing capabilities list.
| Layer | Technologies |
|---|---|
| Java modernization & migration | Java 8–25, Spring Boot, Spring Cloud, Hibernate, Quarkus, Micronaut |
| AI integration | Spring AI, LangChain4j, Azure OpenAI, AWS Bedrock, RAG architectures |
| Legacy modernization | Smalltalk-to-Java, COBOL-to-Java, Delphi-to-Java, VB6-to-Java conversion programs. Many modernization vendors avoid these environments. Azati works inside them regularly. |
| Observability & security | OpenTelemetry, Prometheus, OAuth2, Keycloak, Okta |
| Cloud-native | Docker, Kubernetes, Kafka, WebFlux |
| Detailed |
Java modernization is the process of improving an existing Java application without replacing the entire system. Depending on business priorities, modernization may include upgrading Java versions, migrating from monolithic architectures to microservices, introducing cloud-native deployment, improving observability, strengthening security, reducing infrastructure costs, or integrating AI capabilities. The objective is to extend the useful life of business-critical software while minimizing operational disruption.
Organizations typically begin Java modernization when legacy platforms slow feature delivery, create security or compliance risks, increase cloud infrastructure costs, or become difficult to maintain because of outdated frameworks and shrinking engineering expertise. Many enterprises also modernize before introducing AI capabilities, migrating to Kubernetes, or meeting new regulatory requirements such as DORA, NIS2, or the EU AI Act.
Yes. Most enterprise Java systems do not require complete replacement. Incremental modernization often delivers better business outcomes by upgrading the platform in phases while keeping production systems operational. This approach reduces delivery risk, preserves existing business logic, and allows teams to validate each modernization step before proceeding further.
Azati modernizes enterprise applications running on Java 8, Java 11, Java 17, Java 21, and newer Java releases. Depending on the application landscape, modernization may include framework upgrades, Spring Boot migration, cloud-native refactoring, performance optimization, or migration toward modern architectures such as Quarkus or Micronaut.
Yes. Azati modernizes Spring-based applications, including Spring Boot, Spring MVC, Spring Security, Spring Cloud, Spring WebFlux, and legacy Spring ecosystems. Modernization can include dependency upgrades, architectural refactoring, microservices decomposition, API modernization, security improvements, observability implementation, and preparation for AI integration using Spring AI.
Yes. AI capabilities can often be introduced without replacing existing enterprise systems. Common use cases include intelligent document processing, enterprise search, customer support assistants, underwriting automation, fraud detection, workflow orchestration, and internal knowledge assistants. For regulated organizations, AI integration should include governance, auditability, human oversight, and security controls from the beginning.
Azati follows a production-first modernization approach. Engagements typically begin with architecture assessment and discovery, followed by phased migration, rollback planning, production monitoring, observability, automated testing, and knowledge transfer. This allows organizations to modernize incrementally while maintaining business continuity and reducing operational risk throughout the program.
Java modernization delivers the greatest value in industries where systems are highly regulated or operationally critical. These commonly include banking, financial services, insurance, healthcare, life sciences, energy, oil and gas, manufacturing, logistics, and enterprise SaaS, where downtime, compliance failures, or large-scale rewrites carry significant business risk.
Staff augmentation adds individual engineers to an existing delivery organization. A modernization squad provides a cross-functional team that takes responsibility for defined modernization outcomes. Depending on project scope, a squad may include Java architects, senior engineers, DevOps specialists, QA engineers, delivery leadership, and modernization expertise working together throughout the engagement.
The timeline depends on application complexity, regulatory requirements, and modernization objectives. Initial assessments often take a few weeks, while phased modernization programs typically span several months to multiple years for large enterprise platforms. Most organizations prioritize business-critical components first to begin realizing measurable improvements before the entire program is complete.
Yes. Azati delivers Java modernization for organizations operating under demanding regulatory and operational requirements. Projects commonly include audit-ready architectures, secure authentication, role-based access control, observability, traceability, documentation, and production governance designed to support enterprise compliance initiatives.
Your platform is likely a strong modernization candidate if it experiences slow release cycles, rising maintenance costs, outdated Java versions, increasing cloud expenses, performance bottlenecks, security concerns, technical debt, compliance challenges, or difficulty integrating AI and modern cloud services. A modernization assessment can identify technical risks, estimate business impact, and recommend a phased roadmap before major investment decisions are made.
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