Java development company

We build, modernize, and AI-enable Java systems: enterprise applications, microservices, and cloud platforms, plus AI features inside your existing Java stack.

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Java development services

We cover the full Java lifecycle, from the first requirements call to long-term support of a running system. Each service below maps to a stage your project will pass through, so you can engage us for the whole build or for a single phase where you need depth.

Business analysis and Java project planning

Business analysis and Java project planning

Business needs become a scoped roadmap: requirements, defined scope, and a delivery plan you can sign off on before development starts.

Architecture and tech-stack planning

Architecture and tech-stack planning

Our architects design the application structure and select the Java stack for your throughput, integration, and maintainability needs before the first line of code.

Java software testing

Java software testing

Manual and automated testing runs across the build to catch defects early and keep regressions out of production releases.

 

Custom Java development

Custom Java development

We build Java applications from the ground up for a specific industry and use case, with scalability and security designed in from the architecture stage.

 

Java API development

Java API development

Our APIs connect your systems and exchange data securely between application layers and external services.

 

Java application modernization

Java application modernization

We upgrade legacy Java systems to improve performance, scalability, and maintainability while preserving the business logic already in place.

Java software support and evolution

Java software support and evolution

Live Java applications stay maintained, updated, and extended so they keep performing as load and requirements change.

Team augmentation

Team augmentation

We add vetted Java engineers to your in-house team, integrated into your process and contributing from the first sprint.

Migrations to Java

Migrations to Java

Existing solutions move onto the JVM through a staged plan that protects data integrity and keeps the current system running during the transition.

Audit & rescue mission

Audit & rescue mission

We diagnose stalled or failing Java projects, identify the critical issues, and put delivery back on a predictable track.

Java consulting

Java consulting

Our consultants advise on technology selection, architecture design, and optimization of an existing Java application against your business goals.

Begin Your Custom Java Journey

Schedule a Free Consultation Now!

We treat every Java engagement as a system we will have to stand behind for years. That is why we measure code quality, report on it, and hand over software a Client’s own team can audit and extend.

Java in the AI era

Most enterprises run on Java, and most of that code stays in production for years. The 2026 question is how to add AI to the Java systems you already have. With Spring AI and LangChain4j, both production-ready and both supporting RAG, tool-calling, and the Model Context Protocol (MCP), we integrate LLMs, retrieval, and AI agents directly into your existing JVM applications. The work uses the same frameworks, observability, and security your team already runs, so AI features land inside the current system on the first delivery. The AI components stay inside the deployment, monitoring, and access controls you have already audited, governed by the same security and operations team that already owns the application.

AI features ship-governed

AI components behave probabilistically, so they need a different delivery discipline than deterministic code. The same prompt and the same data can return different outputs, which makes evaluation and guardrails a built-in part of the pipeline. We build the AI parts of your Java system under our Agentic Development Lifecycle (ADLC), with evaluation suites and guardrails wired into the pipeline. Spring AI now ships utilities for the same discipline, which keeps the governance close to the framework your team already runs. The result is AI features that pass measurable evaluation before release, with governance that a technical buyer can inspect on the page and in the codebase.

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What we build

We state framework versions because they are part of the credibility a technical buyer reads: Java 2.1 LTS, Spring Boot 3, Spring AI 1.1, and LangChain4j 1.0. The build types below all run on that stack.

LLM features inside Java apps

LLM features inside Java apps

We embed LLM-backed functionality into existing Spring AI and LangChain4j services.

RAG over enterprise data

RAG over enterprise data

Retrieval pipelines ground model output in your own data, called from Java.

AI agents and tool-calling

AI agents and tool-calling

We build agents that act through your systems via MCP and defined tool interfaces.

AI data pipelines

AI data pipelines

Ingestion and processing run on Kafka, Spark, and Flink, already part of the Java data stack.

Model-serving and orchestration

Model-serving and orchestration

Serving and orchestration layers in Java route, monitor, and govern model calls.

Java solutions we deliver

These are the solution types Clients come to us to build. Most map to a recognizable product shape you may already be shopping for, and several now ship with AI features integrated directly into the Java backend, inside the same deployment as the rest of the system.

Mobile and cross-platform testing-02

Mobile & web applications

Responsive web applications and Android apps on a Java backend, with shared business logic and a consistent experience across devices.

IT and cloud

Cloud platforms

We build backend services, APIs, and microservices that run on AWS, Google Cloud, and Microsoft Azure, using Java’s platform independence to keep deployment portable.

Proven experience in enterprise-scale systems-2

Enterprise Java applications

Large-scale enterprise systems on Java’s mature ecosystem, with the strong typing, security model, and stability that long-lived business software needs.

Agentic SaaS Platforms-01

SaaS applications

Multi-tenant SaaS products that scale with users and data, built on Spring Boot and Jakarta EE for the platform and integration layers.

Architecture complexity

Microservices

We build applications as independent services with Spring Boot, Micronaut, or Quarkus, and deploy and orchestrate them with Docker and Kubernetes.

Collaboration management

Content management systems

Java CMS platforms that give you control over digital content, with database interaction and large-volume handling optimized for the workload.

IoT device management

IoT solutions

Device management, telemetry, and analytics on Java across supply chain, retail, banking, and smart-city use cases.

Faster product launch-01

Product development

We take a Java product from concept through launch, guiding each lifecycle stage so functionality and architecture decisions hold up at scale.

Product & MVP Definition-02

MVP development

A working first version of a process refined over a decade, so you reach the market with a scoped, testable product.

Intelligent AI layer

AI-enabled Java backends

We add LLM features, retrieval, and agents to Java services using Spring AI and LangChain4j, keeping the work inside your existing JVM application.

Internal RAG Knowledge Systems-02

Retrieval-augmented search over your enterprise data, called directly from Java, so answers stay grounded in your own content.

Enhance Your Software Capabilities

Get Started with Custom Java Development!

Ways to work with us

You can engage us in the way that fits your team and your stage. Each model below sets a different split of responsibility between your side and ours, and you can move between them as the project changes. A project that starts as a dedicated team can fold into staff augmentation once your own engineers are up to speed. The contract models follow the same logic: the contractis structure depends on how well-defined the scope is at the start.

Full-cycle outsourcing

Full-cycle outsourcing

We take the project end-to-end, from concept and design through deployment and support, while you stay the key stakeholder with regular reporting from a PM and BA.

Dedicated team

Dedicated team

We assemble a team for your requirements and own the development work, while you keep management and team oversight.

Staff augmentation

Staff augmentation

We add Java engineers, architects, QA, and other specialists to your in-house team, integrated from day one.

Consulting and audit

Consulting and audit

We advise on technology selection, architecture, security review, and code review for an existing Java system.

Time & Material

Time & Material

Fits long-term work with an evolving scope, where you adjust the volume of effort period by period.

Fixed price

Fixed price

Fits a defined scope with clear, agreed deliverables, such as a scoped MVP. containerized using Docker, among other advantages.

Fixed budget

Fixed budget

Fits work that must deliver the most value within a set ceiling, with features prioritized to stay inside it.

Our Java development process

We act as the technical partner across the whole build, from validating whether an idea is feasible to supporting the running system in production. The four phases below run in order, with reporting and biweekly demos throughout, so you see progress at each step instead of waiting for a single reveal at the end.

1
Phase 1 – Analysis and estimation

We validate idea feasibility, run business analysis and market research where useful, hold a free scoping session, prepare the estimate, and set up the contract.

2
Phase 2 – Architecture and development

We design the architecture, elicit requirements per iteration, develop, run quality assurance and testing, handle DevOps, and report with biweekly demos.

3
Phase 3 – Product delivery

We stabilize the software, run user acceptance testing, and deploy to the web and to app stores.

4
Phase 4 – Support

We monitor performance, keep technology versions current, and manage servers and resource optimization

How we keep delivery predictable

Process answers how we build. The practices below explain how we keep delivery predictable and the results governed, which supports the seniority and quality claims on this page. Each one is a habit applied to every project, carried over from one engagement to the next.

Accurate scoping and estimation

Accurate scoping and estimation

A defined scoping process reduces scope creep and sharpens cost accuracy, so you know the investment and the functionality before development starts.

Proper team assignment

Proper team assignment

We staff each project with engineers whose skills and background match the work, forming the team specifically for that project.

Close collaboration and reporting

Close collaboration and reporting

Biweekly demos, status updates on budget, features, plans, and risks, and access to our project management tools give you real-time oversight.

Documentation and knowledge sharing

Documentation and knowledge sharing

All documentation and agreements live in a knowledge system accessible to both parties, and our BAs review and approve them during regular calls.

Risk management

Risk management

We identify, categorize, and mitigate risks, with the PM team monitoring them and keeping you informed to minimize disruption.

Warranty

Warranty

A warranty covers the period set in the agreement after completion, including bug fixes and team training.

How we ensure code quality  

Code quality is where claims become checkable. We measure it with named metrics, run code through staged environments, and put one person in charge of it on every project. A buyer who inherits a Java codebase from us inherits something a future team can read, extend, and audit, which is the part of quality that shows up two years after delivery.

Accurate scoping & estimation

We follow the Java style guide, our internal standards documented over a decade, and industry best practices: naming conventions, short focused components, and unit tests as part of the development process. We run ad hoc reviews, pass-around reviews, walkthroughs, pull requests, and inspections, with a tech lead accountable for code quality on each project.

Proper team assignment

Every feature starts from a user story that our BAs validate for business value before development. A README documents purpose and dependencies, and code moves through four environments: DEV, QA, DEMO, and PROD, all under Git version control.

Metrics we track

Maintainability Index (MI)
Cyclomatic Complexity (CC)
Depth of Inheritance
Class Coupling
Halstead Volume

Recent Java-based software we developed

Hiring and vetting process

The seniority claim rests on a repeatable filter every Java engineer passes before joining a Client project. The five steps below run in order, and Clients can interview team members before the project commences.

1
CV review

We assess qualifications, experience, background, and project history.

2
HR interview

Soft skills, communication, and English proficiency are evaluated against fixed standards.

3
Test task

Candidates complete a practical task designed by a tech lead to show coding proficiency in real scenarios.

4
Technical interview

We review the test task in depth and assess technical knowledge and problem-solving.

5
PM/Team Lead interview

A final interview checks alignment with our culture and team approach.

Team structure

A Java engagement comes with a full team, not a loose set of contractors. The roles below are the ones you work with across a typical project.

Account Manager

Account Manager

Maintains the Client relationship, keeps communication clear, and manages expectations.

Project Manager

Project Manager

Plans the project, monitors risks and budget, tracks progress, and keeps delivery on schedule.

Business Analyst

Business Analyst (BA)

Gathers, validates, and documents requirements so the team builds what you need.

Tech Lead

Tech Lead

Approves designs, prepares environments, reviews code, and owns overall code quality.

Java Developers

Java Developers

Write code, implement features, fix defects, and bring the product to life.

QA Engineers

QA Engineers

Test features, find defects, and prepare test reports.

UI/UX Designer

UI/UX Designer

Designs interfaces and mockups and shapes the user experience.

DevOps Engineer

DevOps Engineer

Manages infrastructure, automates deployment, and connects development and operations.

Why SumatoSoft

For a buyer who skipped the middle, here is the short case for choosing us. Each point is backed by something concrete on this page rather than asserted on its own.

Transparency

Transparency

You get biweekly demos, budget and risk status reporting, and access to our project management tools.
Unified quality across your system-01

Quality (ISO 9001)

We run KPIs, SLAs, tech-lead code review, and track code-quality metrics under ISO 9001.
Security and compliance

Security (ISO 27001)

We work under ISO 27001, with strict access controls and security testing of project data.
Automated maintenance triggers and cleaner work orders

Mature DevOps

We run containerized, automated delivery across DEV, QA, DEMO, and PROD environments.
Hardware-in-the-Loop (HITL) Simulation Guarantee

Advanced tech

We add governed AI to Java systems with Spring AI and LangChain4j under our ADLC.

Awards & Recognitions

Behind the service list is a track record you can check: 14+ years in Java delivery, 350+ products shipped, ISO 9001 and ISO 27001 certification, and ratings of 4.8 on Clutch and 5.0 on GoodFirms (both verified on the platforms themselves). 70% of our engineers are senior-level, and most Clients return with a second project. The numbers exist so you do not have to take the word “experienced” on trust.
techreviewer.co 2026 — SumatoSoft listed among Top Enterprise Software Development Companies
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FAQ

Can you add AI to our existing Java application?

Yes. We integrate LLM features, RAG, and AI agents into your current JVM applications using Spring AI and LangChain4j, without a rewrite. The work stays inside the frameworks, observability, and security your team already runs. The AI components ship under our Agentic Development Lifecycle (ADLC), with evaluation and guardrails so they pass measurable checks before release.

Spring AI or LangChain4j, which should we use?

Both are production-ready Java AI frameworks supporting RAG, tool-calling, and MCP. Spring AI fits teams already standardized on Spring Boot and its conventions. LangChain4j fits teams that want a framework-agnostic library with a broad set of model and tool integrations. We pick based on your existing stack and the integration surface.

When is Java the right choice versus Node.js or Python?

Java fits large, long-lived, integration-heavy systems that need high-throughput concurrency and long-term maintainability. Node.js fits I/O-bound real-time services, and Python fits data science and machine-learning research. For production AI integration on an existing JVM backend, Java now covers it through Spring AI and LangChain4j.

What does a Java project cost?

It depends on scope, complexity, and engagement model. We provide a free, project-specific quote after a scoping session, with no hidden or unexpected costs in the estimate.

Let’s start

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    Vlad Fedortsov (Account Manager)
    Vlad Fedortsov
    Account Manager
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    If you have any questions, email us info@sumatosoft.com

      Please be informed that when you click the Send button Sumatosoft will process your personal data in accordance with our Privacy notice for the purpose of providing you with appropriate information.

      Vlad Fedortsov (Account Manager)
      Vlad Fedortsov
      Account Manager
      Book an intro call
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