AI you can verify, not just trust.
MADIS builds AI-powered platforms for problems enterprises can't afford to get wrong: understanding legacy systems, controlling cloud spend, and keeping sensitive data out of test environments. Every one of them is built the same way — grounded in real data, with every finding traceable back to its source.
Three AI solutions, one standard of proof
Each platform targets a different problem, but all three replace guesswork with something you can check: compiler-grade extraction, grounded analysis and auditable execution.
Legacy System Modernization with AI
You can't transform a system you don't understand.
An AI platform that assesses legacy codebases with compiler fidelity before anything is planned or changed — turning decades of undocumented business logic into a knowledge graph, then a backlog, then AI-executed change.
- 60–80%
- of enterprises carry critical legacy debt
- 75%
- of modernization projects fail before delivering value
MADIS FinOps AI Assistant
Our first SaaS product — the cloud cost intelligence tool we wished existed when we were managing our own Azure spend, now built for every team that runs on it.
Cost visibility
See spend across your Azure estate in one place, broken down by subscription, resource groups, down to the individual resources. Automatic discovery of your Azure tags lets you filter for costs tied to your individual teams, workloads and more.
Anomaly detection
Find out when a cost pattern breaks from its baseline, discover runaway resources before they show up as a surprise on next month's invoice.
AI-guided recommendations
Ask the assistant plain-language questions about your cloud spend and get concrete, ranked optimization actions back — not just another dashboard to interpret.
What ties them together
Different problems, one standard: AI output has to be checkable, not just plausible.
Grounded in real data
Every recommendation is tied to an actual dependency, metric, or field — extracted or profiled, never inferred from a summary.
Built for auditability
Runs are logged, results are verifiable, and approval checkpoints sit before anything irreversible happens.
Deployed on your terms
On-premises where it matters, cloud-agnostic where it helps, and built to fit existing infrastructure rather than replace it.
Ready to talk about your next idea?
Contact us and let's find the right starting point together.