Spring AI & RAG
Retrieval-augmented generation, semantic search and MCP servers inside your existing Spring Boot app — grounded in your data, portable across OpenAI, Azure or self-hosted models.
Spring AI & Enterprise Java Engineering
Put production AI inside the Java systems you already run.
We are a senior-led Spring AI and Spring Boot consultancy — architects with 14 to 20 years each. We build RAG, vector search and MCP servers into your existing application, modernise legacy Java into event-driven microservices, and ship it cloud-native on AWS and GCP. No rewrite. No second stack.
Engineering for teams in
United StatesUnited KingdomEuropeAustralia
01 Our Mission
Make enterprise Java the best place to build AI — so the systems you already run can start to think, without a rewrite.
Most companies do not need a new platform. They need the one they already have to search their own data, answer in their own language, and stay upright when the load arrives. That is the whole job — and for a Java team, Spring AI is now the shortest honest path to it. No parallel Python stack to staff and secure. No rip-and-replace. No demo that quietly never reaches production.
Add AI where the data already lives
RAG, vector search and MCP servers built inside your existing Spring Boot app — talking to a ChatClient, not a vendor SDK. No parallel Python service to staff and secure.
Modernise without stopping the business
Strangler-fig decomposition, an outbox for reliable events, idempotent consumers and zero-downtime cutovers. The monolith keeps serving traffic while it's taken apart.
Prove it with numbers, not adjectives
Latency, throughput, migration time, eval scores against a fixed test set. We report what moved, and we say when it didn't.
02 What We Do
Eight things, done properly
We do not claim to do everything. This is the list — Spring AI at the front, and the backend depth underneath it that makes an AI feature survive a real production load.
Event-Driven Microservices
Spring Boot services on Kafka with the transactional outbox, idempotent consumers, dead-letter handling and circuit breakers — so a failed stage never becomes a lost order.
Legacy Java Modernisation
Java 8/11 monoliths taken apart with the strangler-fig pattern and moved to Java 21 — route by route, with the old system still serving traffic and a rollback at every step.
Data Migration at Scale
Apache Spark pipelines that are idempotent and resumable, with row-level and aggregate reconciliation between source and target — a failed run picks up where it stopped instead of corrupting the target.
Cloud-Native & GitOps
Terraform for infrastructure, Helm and ArgoCD for delivery, Kubernetes on AWS or GCP — every environment reproducible from a commit, not from someone's laptop.
Resilience & Observability
Circuit breakers, bulkheads, retries with backoff and sane timeouts — plus traces, metrics and structured logs, so you find the failing hop in minutes rather than guessing.
QA & Performance Testing
Unit, integration and end-to-end suites, Testcontainers for real dependencies, k6 and JMeter load profiles, and SAST scanning wired into CI — reliability you can point at, not assert.
Front Ends for Java Teams
React and Next.js interfaces built against your own APIs — including the chat, search and admin surfaces that AI features need in order to be useful to a human.
03 Technology Expertise
The stack we engineer with
Java 21Spring BootSpring AIMicroservicesApache KafkaApache SparkPostgreSQL & pgvectorElasticsearchAWSGoogle CloudKubernetesTerraformDockerReact & Next.jsFlutterPython
04 Proof
Systems we run in production
Not a portfolio of logos — the architecture, the stack and the outcome, written out so you can judge the engineering for yourself.
Spring AI · Semantic Search
OptaAI — an AI-native sourcing platform
Built an AI-based procurement and sourcing platform for a long-standing client, using Spring AI and semantic search to match buyers with suppliers and automate sourcing decisions that were previously manual.
3×
Sales productivity
70%
Faster query response
Java 17+Spring AIElasticsearchAWS
Read the case studyMicroservices · Event-Driven
Order-processing platform at scale
Manage and continuously evolve a proprietary order-processing platform with event-driven Spring Boot microservices and Kafka, delivering reliable, real-time processing for a two-year-plus engagement.
90%
Faster processing
2+ yrs
Partnership
Spring BootApache KafkaMicroservicesGCP
Read the case studyData Migration · Apache Spark
Large-scale data migration with Apache Spark
Engineered a systematic, custom-conversion migration of massive datasets between sources using Apache Spark, cutting a fragile manual migration into a repeatable, observable pipeline.
80%
Faster migration
0
Data-loss incidents
Apache SparkJavaSQLAWS
Read the case study05 Our Services
Backend engineering, end to end
Spring AI first, because that is where the leverage is right now — backed by the microservices, modernisation and data engineering depth that makes an AI feature survive contact with production.
01
Spring AI Integration
RAG, vector search, chat and MCP servers inside the Spring Boot app you already run — ChatClient and VectorStore, not a vendor SDK.
02
Event-Driven Microservices
Kafka topics, transactional outbox, idempotent consumers and dead-letter handling — each stage scales and fails on its own.
03
Legacy Java Modernisation
Strangler-fig decomposition and Java 8/11 → 21 upgrades, route by route, with the monolith still serving traffic.
04
Java Backend Development
High-performance REST and GraphQL APIs on Spring Boot, Spring Security and JPA/Hibernate, on Java 17–21.
05
Data Engineering & Migration
Apache Spark ETL and migrations that are resumable and reconciled row-by-row — no silent data loss.
06
System Integration & APIs
REST and SOAP integration, WSO2 connectors, and Kafka-backed workflows across systems that were never meant to talk.
CatalogAssistant.java
@Servicepublic class CatalogAssistant { // Grounded in your data, not the model's guesses public Answer ask(String question) { return chat.prompt(question) .advisors(new QuestionAnswerAdvisor(vectorStore)) .call() .entity(Answer.class); }}
06 Why Choose Us
The senior who scopes it is the one who builds it
No pyramid, no bait-and-switch, no juniors learning on your budget. You work directly with architects who have 14 to 20 years each in Java and distributed systems — the people who will name the pattern they are using, tell you when a simpler design wins, and say so plainly when an AI feature is not the right answer to your problem.
Our clients keep us for years, not sprints: one order-processing platform has been in our hands for over two years and counting.
14–20
Years of experience, per engineer
100%
Senior-led engagements
24h
Response time
07 Clients
The people who kept us on
“
Hello World Tech has been an outstanding partner for us over the last two years. They manage our proprietary order-processing platform with precision and reliability, and recently helped us build an AI-based sourcing platform called OptaAI that has transformed how we handle procurement. SPS and the team are responsive, expert, and genuinely invested in our success. Highly recommend!
Neel Patel
CFO · Optamark
“
SPS is an expert developer who is very efficient and extremely thoughtful. He gives the best code reviews and has the greatest attention to detail out of every developer I have worked with on Upwork. His part-time availability was a good match for our needs and it has been very beneficial to have him on the project.
John De Mott
d2 PAC
“
SPS is good at his work and completed our project in a very short time. Would recommend him highly, and we'll work with him if we have any more projects in Java.
Narendra Hiranandani
CEO · Enhira Software Limited
“
Hello World has been instrumental in building our proprietary File Comparison Tool.
Thomas G
Founder · JClass
“
Amazing tech solution, designed for us.
Solomon E
Founder · MasteringBackend
08 Engineering Notes
We publish how it works, not why to hire us
Spring AI
Building Intelligent Java Apps with Spring AI and OpenAI
Spring AI brings LLMs into the Spring ecosystem with the same abstractions Java teams already know. Here's how to wire up chat, prompts, and retrieval-augmented generation in a real Spring Boot service.
Apache Kafka
Event-Driven Architecture with Apache Kafka and Spring Boot
Event-driven architecture decouples services and lets them scale independently — but only if you get topics, idempotency, and ordering right. A practical field guide with Spring Boot.
Spring Boot
Spring Boot Microservices: A Production Architecture Guide
Microservices are an organisational and operational choice as much as a technical one. Here's how to structure Spring Boot services so they stay independent, resilient, and observable.
09 Industries
Where we've shipped this
The domains our production systems already live in. If yours is not on the list, the architecture usually still is — ask us.
E-commerce & Procurement
Semantic product and supplier search on Spring AI — the pattern behind OptaAI, in production for a US promotional-products company.
Fintech
Event-driven services for real-time transaction processing, plus payment and banking integration (Stripe, Plaid) on a Kafka backbone.
Internal Platforms
Order processing, back-office and ops tooling — the systems the business actually runs on, made observable and safe to change.
Legacy Modernisation
Ageing Java monoliths and end-of-life data stores brought forward — including a Cassandra-to-PostgreSQL migration on Apache Spark.
Support & Knowledge
RAG assistants grounded in your own docs and tickets, so answers cite a real source instead of inventing one.
Have a Java system that should be doing more?
Tell us what it does today and what you want it to do. We'll map the shortest reliable path — and tell you honestly if AI isn't it.
05 Contact
Let's build something together
Share a few details about your project and we'll get back to you within 24 hours.
Get in touch
Whatever your IT requirement — we have an offering for you.
Address
First Floor, B/14, Ramnagar Colony, Mohaddipur, Gorakhpur — 273008, Uttar Pradesh
Phone
Book a call
10 FAQ
Frequently asked questions
What does Hello World Tech Consulting do?
Hello World Tech Consulting LLP is a senior-led Java consultancy specialising in Spring AI. We add production AI to existing Spring Boot applications — retrieval-augmented generation, vector search and MCP servers — modernise legacy Java monoliths into event-driven microservices on Kafka, and run large-scale Apache Spark data migrations. Our clients are engineering teams in the US, UK, Europe and Australia.
What is Spring AI and why use it?
Spring AI is the Spring ecosystem's abstraction over large language models, the way Spring Data abstracts databases. Your code talks to a ChatClient and a VectorStore rather than a vendor SDK, so you can add chat, semantic search and retrieval-augmented generation inside the Spring Boot app you already run — no separate Python service, and switching model provider is a configuration change rather than a rewrite. We build and harden those features end to end.
Can you add AI to our existing Java application without a rewrite?
Yes — that is the most common engagement we take. Spring AI drops into an existing Spring Boot codebase, so AI features roll out incrementally alongside what you already run. We start with one grounded, evaluated use case in production rather than a platform rebuild.
How are you different from a large Indian IT firm?
We are a small, senior-led team, so the architect who scopes your project is the one who builds it. You get principal-engineer depth and direct access without big-firm overhead or junior staffing, at boutique pricing — and the same people stay with you across the engagement.
Do you work with overseas clients across time zones?
Yes. We are based in India and work with clients across the US, UK, Europe and Australia, with around 4 to 5 hours of daily working-time overlap with the UK and 2 to 4 hours with the US East coast. We run communication on your tools and cadence and reply within 24 hours.
How do we get started?
Tell us about your application and goals through the contact form, or book a 30-minute call. We reply within 24 hours.