From custom applications to AI agents and MCP servers, we build production systems that clients can use, maintain, and extend.
We build applications, agents, MCP servers, automations, and AI-enabled product features for teams that need working software.
Each service starts with the workflow, users, and constraints. The goal is the smallest useful system that can be shipped, operated, and owned by your team.
Client portals, dashboards, booking tools, internal systems, and product interfaces built with modern web stacks and production-ready foundations.
Teams replacing spreadsheets, disconnected tools, or manual handoffs with software built around their workflow.
AI agents, MCP servers, tool integrations, and assistant workflows that connect to your real systems and handle useful work.
Software teams that need an AI assistant or agent to use real tools, data, and APIs safely inside an existing workflow.
LLM-powered features, prompt pipelines, RAG flows, transcription analysis, and AI interfaces designed to ship inside actual products.
Product teams adding a focused AI capability to software that already has users, data, and operational constraints.
Automate repetitive operations across forms, CRMs, docs, emails, databases, and custom APIs so your team spends less time moving data around.
Teams losing time to repetitive data entry, notifications, document handling, or handoffs between business systems.
Fast, polished prototypes for new products, content ideas, internal tools, or AI workflows before you commit to a larger build.
Teams that need to validate a product or technical approach before committing to a full production build.
Review inherited apps, AI-generated code, or unstable systems, then clean up architecture, performance, reliability, and maintainability.
Teams inheriting unstable software or needing an engineering review before the next stage of development.
Rinade does not force AI into a product that does not need it. We first understand the problem, then choose the simplest application, integration, automation, or AI system that can solve it reliably.
Review our public applications or discuss a project.
A practical build process for turning unclear requirements into shipped software your team can use.
We learn your goals, workflows, users, and technical constraints before deciding what needs to be built.
We shape the product, integration, or AI system around the smallest useful version that can ship with confidence.
We build the application, agent, MCP server, automation, or AI feature with production patterns from the start.
We ship to production with monitoring and docs. Your team owns everything from day one.
We improve reliability, usability, performance, and cost once the system is in front of real users.