ModernZ AI provides an AI-driven platform that automates discovery, dependency mapping, and strategic planning for enterprise cloud migrations across on‑prem, hybrid, and multi‑cloud environments. The solution generates real‑time TCO and license‑compliance analyses, creates executable migration blueprints, and offers a secure dashboard and API for integration with ITSM tools.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face fragmented IT transformation processes where multiple point tools, vendor‑specific silos, and manual spreadsheet analyses impede accurate workload assessment, inflate migration costs, and expose licensing and compliance risks.
Solution
ModernZ AI delivers an agentic AI platform that automates high‑fidelity discovery and strategic planning across heterogeneous cloud environments. The engine ingests inventory data, performs AI‑assisted dependency mapping, and generates a unified execution blueprint that quantifies total‑cost‑of‑ownership for on‑prem, hybrid, and public‑cloud targets. By modeling “what‑if” scenarios in real time, it reduces the time to strategic certainty from months to days and identifies technical arbitrage that can recover up to 50 % of transformation spend. Integrated compliance modules automatically audit Microsoft, Oracle, SAP, and VMware licenses, eliminating hidden contractual liabilities. The resulting plan is delivered as a secure, exportable report and can be consumed via a web dashboard or API for downstream automation.
Target Audience
Primary customers are large enterprises and their CIO/CTO offices that are undertaking complex cloud migrations or multi‑cloud modernization, as well as consulting firms that manage transformation projects for such organizations.
Features
- AI‑driven workload inventory and dependency graphing across multi‑cloud and on‑prem assets
- Automated license compliance and BYOL optimization for Microsoft, Oracle, SAP, and VMware
- Real‑time “what‑if” scenario engine that computes cloud‑agnostic TCO and migration cost models
- Agentic execution plan that orchestrates migration steps, credit capture, and resource right‑sizing
- Time‑series analysis to detect burst peaks, idle (“zombie”) VMs, and hidden performance cliffs
- Containerization and cloud‑native database recommendation engine for AI‑ready application refactoring
- Secure, role‑based web dashboard with exportable reports and RESTful API for integration with existing ITSM tools
- End‑to‑end data encryption and compliance with enterprise security standards