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Enterprise Applications Built on Modern Architecture with Production AI
Rivit specializes in enterprise application development for organizations that need production-ready systems — built by an in-house team with three decades of successful delivery.
Applications That Organizations Depend On
From workflow automation to AI-powered platforms, our enterprise application development practice covers the systems your organization depends on to operate.
Enterprise Web Applications
Internal tools, client portals, workflow engines, and operational platforms built on Spring Boot + React. Designed for scale, security, and the kind of long-term maintainability enterprise teams need. Delivered across financial services, government, healthcare, and manufacturing.
AI-Powered Applications
Intelligent document processing, conversational interfaces, automated decision workflows, and knowledge retrieval systems. We build AI into applications as a working feature — not a checkbox. RAG, LangGraph, multi-model orchestration, all running in production.
Integration & Modernization
API layers that connect existing systems to modern architectures. Data transformation pipelines. Hybrid deployments that let you modernize incrementally — without betting the business on a single cutover or ripping out what's already working.
AI That Works in Production, Not Just in Demos
Most development shops are experimenting with AI. We've already shipped it. Our platform runs production RAG systems, multi-provider orchestration, and LangGraph workflows daily. That experience powers every AI feature we build.
RAG & Knowledge Systems
Vector stores, retrieval pipelines, and context management that delivers accurate results at scale — not hallucinations.
LangGraph Workflows
Multi-step AI orchestration for complex business processes. Approval chains, document routing, intelligent triage.
Local & Private LLMs
We deploy and fine-tune local models using Ollama and open-source LLMs - keeping sensitive data on your infrastructure while delivering task specific AI that outperforms general-purpose models.
Multi-Provider AI
OpenAI, Anthropic, Ollama, and local models. Architected for flexibility so you can use cloud AI where it makes sense and private models where it doesn't.
Task-Specific Model Training
General-purpose LLMs are a starting point, not the finish line. We fine-tune and configure models for your specific workflows — classification, extraction, analysis — so they perform reliably on your data, not just on benchmarks.
Intelligent Automation
Document processing, classification, extraction, and decision support that replaces manual work with reliable AI tuned to your business rules.
A Process Built for Enterprise Delivery
Enterprise application development requires more than good code — it requires clear milestones, regular communication, and a process refined over three decades of production delivery.
Discovery & Strategy
We map your systems, data architecture, integration points, and business objectives. If AI adds value, we define what's realistic. If it doesn't, we say so. You get a plan grounded in what will actually work.
Architecture & Design
Spring Boot services, React interfaces, PostgreSQL or MongoDB, cloud-native patterns. We design for your existing infrastructure — not a standalone island that ignores what's already running.
Build & Integrate
Iterative development with working software at every milestone. AI features, data pipelines, integrations, and UI — built by the same team, delivered together, tested continuously.
Quality & Security
Automated testing and security-first architecture. Our experience across financial services and government means compliance is built into design decisions from day one — not bolted on before launch.
Launch & Evolve
Deployment is when the partnership deepens, not when it ends. Production support, performance optimization, feature evolution, and knowledge transfer. We build applications we're prepared to stand behind.
Your Team, Extended
In-house employees, not contractors. When you call, the people who built it answer. One team, one relationship, consistent quality from discovery through ongoing support.
Faster Delivery. No Shortcuts.
We use AI to accelerate every phase of development. But speed without discipline produces throwaway code. We've built the guardrails to make sure it doesn't.
AI-assisted development can cut delivery timelines dramatically. It can also produce fragile, inconsistent code that no one can maintain six months later. The difference is whether you've built the rules. We have. Our development process embeds architectural patterns, coding standards, and quality gates directly into how we use AI so every line of generated code follows the same conventions your team would write by hand.
Architectural Guardrails
Every AI-generated component follows our established framework conventions including service patterns, data access layers, component structures, and naming standards. The AI doesn't freelance. It builds within proven architectural boundaries that produce consistent, maintainable code.
Embedded Coding Standards
We've codified our development standards into the AI workflow itself. Rules files, prompt engineering, and validation layers enforce conventions before code is ever committed. The result is output that looks like it was written by your best developer, not generated by a chatbot.
Human Review at Every Stage
AI accelerates the work. Our engineers own the quality. Every generated artifact is reviewed, tested, and validated against business requirements before it ships. AI is the tool. Human judgment is the standard.
The goal isn't just faster delivery, it's resilient, maintainable, repeatable applications delivered on shorter timelines. When we hand off a codebase, your team can read it, extend it, and maintain it. That's the standard we hold ourselves to, whether the code was written by hand or generated by AI.
What We Build With
Production proven stacks. No resume driven architecture.
Application Stack
Java 17+ / Spring Boot 3+
React 18+ / TypeScript
PostgreSQL / MongoDB / MSSQL
Python / Flask / FastAPI
Hibernate Search + Lucene
AI & Intelligence
RAG (ChromaDB, vector stores)
LangGraph / LangChain
OpenAI / Anthropic / Ollama
Custom workflow orchestration
Intelligent document processing
Infrastructure
Docker / containerized deployment
Cloud-native (AWS, Azure)
CI/CD pipelines
On-premise or cloud
No vendor lock-in
The same architecture and tooling we use in our own products - Proven at enterprise scale across industries
We built our own AI-powered platform on the same stacks we use for enterprise application development — processing millions of lines of code with RAG, multi-provider AI, and LangGraph orchestration.
That's not a side project. It's a production system trusted by organizations across financial services, government, and healthcare. When we say we know how to build with these technologies, we have the receipts.
Ready to Build?
Tell us what you're working on. We'll tell you how we'd approach it, what it would take, and whether we're the right team for the job. No pitch decks, no pressure.
Or explore our migration and archiving products →