# Six kinds of work. One way of doing it.

> Gen AI architecture leads the list, with software architecture close behind. The other four, AI-assisted delivery, integrations, data and product engineering, are what it takes to get a design into production. Whatever the question, we answer it in code before we answer it in a slide.

## Gen AI Architecture & Engineering

We design how your RAG, agent or multi-agent system retrieves, reasons and acts, then build it with evaluation and guardrails from day one.

[More on Gen AI Architecture & Engineering](https://infomovertech.com/services/ai-engineering)

## Software & Solution Architecture

Independent architecture reviews, target architectures and decision records, or a senior architect in your design reviews every month.

[More on Software & Solution Architecture](https://infomovertech.com/services/software-architecture)

## AI-Assisted Software Delivery

Specification-driven development, review gates and AI governance, so AI coding assistants speed your team up without lowering the bar.

[More on AI-Assisted Software Delivery](https://infomovertech.com/services/ai-assisted-software-delivery)

## Enterprise Platforms & Integrations

Customer portals and integration layers for OTM, custom ERPs and EDIFACT, with multi-company access and event-driven notifications.

[More on Enterprise Platforms & Integrations](https://infomovertech.com/services/enterprise-platforms-and-integrations)

## Data Platforms

Streaming and batch pipelines, a governed lakehouse and dashboards on agreed definitions, ready for the AI work that follows.

[More on Data Platforms](https://infomovertech.com/services/data-platforms)

## Product Engineering

Web, mobile and desktop products, designed and built end to end, released in phases and supported after launch.

[More on Product Engineering](https://infomovertech.com/services/product-engineering)

## The tools behind the work

More than twenty years of systems leave a long tool list. These are the ones we use in production today.

- **AI:** RAG, AI agents, LLM applications, Evaluation and guardrails, AI-assisted SDLC, Specification-driven development, AI governance
- **Architecture and integration:** Microservices, Spring Cloud, Kafka, MuleSoft, Spring Integration, Oracle Transport Management (OTM), EDIFACT, OAuth 2.0, Liferay
- **Data:** AWS big data, Apache Spark, Delta Lake, Kafka, Apache Superset
- **Web and mobile:** Angular, React, Next.js, Flutter, React Native, Ionic, Electron
- **Server and cloud:** Spring Boot, Node.js, Django, AWS, Heroku, Vercel
- **Languages:** Java, Python, TypeScript, Rust, Scala