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    STAR*M

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    Sold by: MLOGICA 
    STAR*M translates and refactors your legacy Teradata, SQL server, Sybase, Informix, Db2 and Netezza application and database code onto AWS platform with unmatched reliability, reducing errors, risk and costs while accelerating time-to-market.

    Overview

    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, SQL Server, Sybase, Informix, Db2, or Netezza, STAR*M advanced automation engine delivers predictable outcomes, reduced risk, and accelerated time to value, empowering enterprises to scale innovation securely on AWS.

    Overview: Move Your Legacy to the Cloud Smarter, Faster, and Safer In today digital first economy, agility defines competitiveness. Aging, high maintenance legacy systems limit the ability to innovate, scale, and leverage AI driven analytics.

    mLogica 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 AWS.

    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: a) Manual migrations are six times more likely to fail due to human error and time overruns. b) STAR*M AI driven automation reduces human error rates by up to 90 percent 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 AWS.

    mLogica 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.

    Highlights

    • AI-driven, end-to-end modernization delivering accelerated, high-accuracy migrations, up to 3 times faster at 50% lower cost, with a continuously learning engine that enhances precision across analysis, conversion, testing, and deployment, while providing cloud agility and scalability on AWS and Postgres, all with minimal risk and disruption.

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    Deployed on AWS

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