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.
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 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
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
Manual and automated testing runs across the build to catch defects early and keep regressions out of production releases.
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
Our APIs connect your systems and exchange data securely between application layers and external services.
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
Live Java applications stay maintained, updated, and extended so they keep performing as load and requirements change.
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
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
We diagnose stalled or failing Java projects, identify the critical issues, and put delivery back on a predictable track.
Java consulting
Our consultants advise on technology selection, architecture design, and optimization of an existing Java application against your business goals.
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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.

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
We embed LLM-backed functionality into existing Spring AI and LangChain4j services.
RAG over enterprise data
Retrieval pipelines ground model output in your own data, called from Java.
AI agents and tool-calling
We build agents that act through your systems via MCP and defined tool interfaces.
AI data pipelines
Ingestion and processing run on Kafka, Spark, and Flink, already part of the Java data stack.
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 & web applications
Responsive web applications and Android apps on a Java backend, with shared business logic and a consistent experience across devices.
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.
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.
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.
Microservices
We build applications as independent services with Spring Boot, Micronaut, or Quarkus, and deploy and orchestrate them with Docker and Kubernetes.
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 solutions
Device management, telemetry, and analytics on Java across supply chain, retail, banking, and smart-city use cases.
Product development
We take a Java product from concept through launch, guiding each lifecycle stage so functionality and architecture decisions hold up at scale.
MVP development
A working first version of a process refined over a decade, so you reach the market with a scoped, testable product.
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.
RAG-powered enterprise search
Retrieval-augmented search over your enterprise data, called directly from Java, so answers stay grounded in your own content.
Enhance Your Software Capabilities
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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
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
We assemble a team for your requirements and own the development work, while you keep management and team oversight.
Staff augmentation
We add Java engineers, architects, QA, and other specialists to your in-house team, integrated from day one.
Consulting and audit
We advise on technology selection, architecture, security review, and code review for an existing Java system.
Time & Material
Fits long-term work with an evolving scope, where you adjust the volume of effort period by period.
Fixed price
Fits a defined scope with clear, agreed deliverables, such as a scoped MVP. containerized using Docker, among other advantages.
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.
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.
We design the architecture, elicit requirements per iteration, develop, run quality assurance and testing, handle DevOps, and report with biweekly demos.
We stabilize the software, run user acceptance testing, and deploy to the web and to app stores.
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
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
We staff each project with engineers whose skills and background match the work, forming the team specifically for that project.
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
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
We identify, categorize, and mitigate risks, with the PM team monitoring them and keeping you informed to minimize disruption.
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
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.
We assess qualifications, experience, background, and project history.
Soft skills, communication, and English proficiency are evaluated against fixed standards.
Candidates complete a practical task designed by a tech lead to show coding proficiency in real scenarios.
We review the test task in depth and assess technical knowledge and problem-solving.
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
Maintains the Client relationship, keeps communication clear, and manages expectations.
Project Manager
Plans the project, monitors risks and budget, tracks progress, and keeps delivery on schedule.
Business Analyst (BA)
Gathers, validates, and documents requirements so the team builds what you need.
Tech Lead
Approves designs, prepares environments, reviews code, and owns overall code quality.
Java Developers
Write code, implement features, fix defects, and bring the product to life.
QA Engineers
Test features, find defects, and prepare test reports.
UI/UX Designer
Designs interfaces and mockups and shapes the user experience.
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
Quality (ISO 9001)
Security (ISO 27001)
Mature DevOps
Advanced tech
Awards & Recognitions
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.
Can you handle both small and large projects?
Yes. Our engineers work on rapid MVP development and on large, complex enterprise systems. The engagement and contract model adjusts to the project size.
Let’s start
If you have any questions, email us info@sumatosoft.com






















