STAR*M: AI Powered Distributed Workload Modernization Suite

Description

Accelerate your legacy modernization journey with mLogica STAR*M, an AI- and machine-learning-powered automation suite engineered to migrate and refactor legacy distributed databases and applications to cloud-native environments with unmatched speed, precision, and cost efficiency.

Whether you are moving from Teradata, Sybase, Informix, Oracle, Db2, or Netezza, STAR*M’s advanced automation engine delivers predictable outcomes, reduced risk, and accelerated time to value—empowering enterprises to scale innovation securely on Azure.

Overview

Move Your Legacy to the Cloud—Smarter, Faster, and Safer

In today’s digital-first economy, agility defines competitiveness. Aging, high-maintenance legacy systems limit the ability to innovate, scale, and leverage AI-driven analytics.

mLogica’s AI-driven STAR*M modernization suite transforms this challenge into an opportunity, enabling seamless, automated platform, database, and application modernization to modern cloud ecosystems such as Azure.

Through advanced machine learning, STAR*M translates, optimizes, and refactors legacy application and database code to modern architectures with unrivaled accuracy and reliability—reducing errors, risk, and costs while accelerating time to market.

Leverage the Power of AI-Driven Automation

Manual and semi-automated migrations often lead to extended timelines, coding errors, and escalating costs. STAR*M replaces human-dependent, repetitive tasks with AI-assisted refactoring and intelligent validation that ensures consistency, efficiency, and repeatability across large-scale enterprise workloads.

Independent benchmarks and customer results show:

• Manual migrations are six times more likely to fail due to human error and time overruns.
• STAR*M AI-driven automation reduces human error rates by up to 90% while improving performance and maintainability.

Through reinforcement learning algorithms, STAR*M continuously optimizes migration accuracy, capturing insights from each iteration to enhance future conversions.

Automation: The Unrivaled Solution for Reducing Errors, Risk, and Cost

Built on decades of modernization experience, STAR*M leverages machine learning, rule-based automation, and iterative refactoring to handle the most complex, mission-critical workloads with ease.

As legacy platforms age, maintenance costs and risks rise exponentially. STAR*M delivers a proven, low-risk modernization path enabling rapid, repeatable migrations to Azure.

mLogica’s global modernization experts combine this automation with proven methodologies and delivery excellence, helping customers realize cost savings, operational resilience, and modernization agility.

Strategizing Your Cloud Migration

Modernization requires strategy, not just tools. STAR*M supports both phased and end-to-end migration approaches, ensuring business continuity while modernizing at your own pace.

mLogica helps design and execute a cloud modernization roadmap that reduces risk, maximizes ROI, and leverages the full power of cloud scalability, analytics, and AI.

Operating on outdated legacy systems is the biggest risk. With STAR*M, transform that risk into a secure, cost-effective, and future-proof digital foundation.