Senior by default
Every engagement is led by architects and lead developers — not staffed up with juniors learning on your budget. The senior who scopes your project is the one who builds it, and stays on it.
Hello World Tech Consulting LLP is a senior-led Spring AI and Java consultancy — architects with 14 to 20 years each. We build and modernise the backend systems a business actually runs on, and we put production AI inside them. For engineering teams in the US, UK, Europe and Australia.
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.
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.
Strangler-fig decomposition, an outbox for reliable events, idempotent consumers and zero-downtime cutovers. The monolith keeps serving traffic while it's taken apart.
Latency, throughput, migration time, eval scores against a fixed test set. We report what moved, and we say when it didn't.
For most of the last decade, adding AI to a Java application meant standing up a Python service beside it — a second stack to deploy, secure, staff and keep in sync with a codebase that already worked. We watched good teams stall at exactly that point. The demo impressed everyone; the production rollout never came.
Spring AI closed that gap. Your business logic talks to a ChatClient and a VectorStore instead of a vendor SDK, so retrieval-augmented generation, semantic search and tool-calling live inside the Spring Boot app you already run — testable with the tools you already use, portable across model providers as a configuration change. That is the whole reason this consultancy is pointed where it is.
The backend depth underneath is not decoration — it is what makes the AI part survive. We have shipped production systems across applied AI, fintech, e-commerce, civic-tech and big-data engineering: an embeddings-powered sourcing assistant with a native Java MCP server (OptaAI), a RAG recommender on self-hosted LLMs, a cross-platform fintech app with Stripe and Plaid, a civic-action platform on Google Cloud Run, and a Cassandra-to-PostgreSQL migration on Apache Spark — delivered with Terraform, Kubernetes and GitOps on AWS and GCP.
Every engagement is led by architects and lead developers — not staffed up with juniors learning on your budget. The senior who scopes your project is the one who builds it, and stays on it.
We measure what we ship — query latency, throughput, migration time, eval scores against a fixed test set — and report it straight, including when it didn't move.
We will tell you when you don't need an LLM, when a single service beats five, and when the boring answer is the correct one. Advice we can't defend isn't worth billing for.
Strangler fig. Transactional outbox. Idempotent consumers. Circuit breakers. RAG with grounded citations. If we can't name what we're doing and why, we don't understand it well enough to charge you for it.
16+ years in Java and distributed systems. Leads architecture, Spring AI integration and delivery across the team.
Seasoned software architect with 20+ years building backend systems, specialising in microservices, Kafka and cloud-native deployment.
Automation, performance testing and CI/CD across AWS, GCP and Kubernetes.
Registered as an LLP in Gorakhpur, India. Our references are named, contactable people — not anonymous logos — and our longest-running engagement has now passed two years.
Tell us where you want to go — we'll engineer the path to get there.