AI adoption partner
Radian helps organizations train their teams, build responsibly with AI, and deploy AI agents and systems that connect securely to the data and workflows that matter.
What we do
AI adoption is not one thing. Some teams need to learn how to use AI. Some need a working prototype turned into a real application. Some need AI connected securely to their documents, databases, and internal systems.
Radian helps across the full path: training your people, building responsibly with AI, delivering production systems, and deploying AI agents that work over your data.
Custom AI agents that query your live data, answer from your documents with citations, and take controlled actions across the systems you already use. Built on a platform we have proven, so you get a polished, trustworthy agent sooner.
See AI agents
Strategy, architecture, prototypes, and production AI systems for real business workflows. We use AI-assisted development to move faster while keeping systems maintainable, tested, and secure.
Explore AI projects
Natural-language access to operational databases, without migrating your data or bypassing governance. Built for teams that need trusted answers from structured enterprise data.
See RadianSQL
Practical, live training for business professionals who need to use AI in real work, including documents, analysis, workflows, verification, and automation.
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Approach
The AI landscape changes quickly. We work across models, retrieval, agents, coding tools, APIs, databases, workflow platforms, cloud services, and emerging frameworks. The stack depends on the problem, your environment, and what needs to be reliable in production.
Examples
AI coding assistants · agents · RAG · MCP · structured data · APIs · automation · knowledge bases · custom web apps · database integration
Flagship product
RadianSQL gives teams governed, natural-language access to operational databases, so business users can get trusted answers without writing SQL or waiting on custom reports.
Explore RadianSQLWhy Radian
We build for specific business problems, not general ones. Every engagement ends with a working system your team uses, not a recommendation document.
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