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mLogica LLC

Background

mLogica is an enterprise IT modernization company specializing in cloud migration, mainframe modernization, and complex data analytics solutions. Founded in 2004, the company has completed over 1,000 modernization projects for Fortune 1000 companies and government organizations worldwide. mLogica's solutions facilitate automated migration of legacy applications, databases and mainframe systems to modern cloud infrastructures, reducing operational costs and improving scalability.

Industry Challenges

Modernization

The rapid pace of technological evolution has left many organizations grappling with outdated legacy systems that hinder operational efficiency and scalability, creating a pressing need for modernization solutions like those presumably offered by mLogica. Businesses face rising maintenance costs, security vulnerabilities, and an inability to integrate with modern cloud-based platforms or emerging technologies such as Artificial Intelligence (AI) and Internet of Things (IoT). These aging systems often lock valuable data in silos, preventing real-time decision-making and stifling innovation. Modernization technologies address these drivers by enabling companies to migrate to agile, cloud-native architectures, reducing overhead, enhancing cybersecurity, and unlocking the flexibility required to stay competitive in a digital-first market.

Big Data Analytics

In an era where data is dubbed the "new oil," businesses are compelled to harness vast, unstructured datasets to drive strategic growth, making big data analytics solutions, such as those possibly offered by mLogica, indispensable. The explosion of data from customer interactions, IoT devices, and digital transactions overwhelms traditional processing tools, leaving companies unable to extract actionable insights quickly enough to capitalize on market opportunities. This bottleneck drives demand for advanced analytics platforms that can process petabytes of data in real time, uncover trends, and optimize operations, from supply chain logistics to targeted marketing, ensuring organizations remain agile and profitable in a hyper-competitive landscape.

History

Founding (2004 - 2010)

mLogica was founded by Amit Okhandiar and seasoned technology professionals who had previously worked with leading firms in the database and enterprise software sectors. During the initial years, mLogica concentrated on consulting services, helping enterprises optimize complex database environments and application ecosystems. Early engagements focused on deep database services, including performance tuning, data migration, and systems integration, often in collaboration with Oracle, and SAP whose database solutions dominated the enterprise market at the time. These projects laid the groundwork for mLogica’s later specialization in automated modernization software, as the company identified a need for migrating legacy enterprise database environments to the cloud with scalable, repeatable solutions to replace labor-intensive manual processes.

With Oracle, mLogica provided expertise in managing and supporting Oracle database deployments, assisting clients in upgrading from legacy versions to newer, more efficient systems like Oracle Exadata. Simultaneously, the company worked with SAP to support enterprises running SAP R/3 and later SAP HANA, offering database optimization and support services. Beyond Oracle and SAP, mLogica collaborated with other tech giants such as IBM and Microsoft, tackling complex database environments such as Db2 and SQL Server. These partnerships enabled mLogica to build a reputation for handling intricate, mission-critical database workloads, positioning it as a trusted advisor for Fortune 1000 companies and setting the stage for its expansion into cloud-based modernization by the early 2010s.

Modernization Software Development (2010- 2018)

By 2010, mLogica recognized the limitations of traditional consulting-heavy approaches to IT modernization and shifted its focus toward developing proprietary migration software to address the growing complexity of enterprise database and application migrations. This period marked the inception and maturing of its automated software, with early versions of the STAR*M suite emerging to streamline the migration of distributed databases and applications to more modern platforms. Initially targeting on-premises upgrades, these tools were designed to reduce human error, accelerate project timelines, and lower costs, an appealing proposition for clients still reliant on legacy systems like Sybase, Teradata, Informix, IBM Db2 and others. mLogica’s modernization engineers leveraged their deep database expertise, gained from years of working with Oracle, SAP, and other tech giants, to embed automation and compatibility features into the software, ensuring it could handle diverse workloads. By 2012, the company had successfully deployed these automated software tools in multiple high-profile engagements, earning accolades for cutting migration times by up to 50% compared to manual methods.

The period from 2013 to 2018 saw mLogica further refine its migration software portfolio and align it with the rise of cloud computing, a shift that catalyzed partnerships with major cloud service providers, such as, Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, and Oracle Cloud Infrastructure. During this time, mLogica collaborated closely with AWS to support their customer migrations to the AWS cloud, and worked with Microsoft Azure focused on hybrid migrations blending on-premises SQL Server instances with Azure cloud services. Google Cloud Platform and Oracle Cloud Infrastructure partnerships further expanded the tools’ reach, supporting migrations to GCP and Oracle Autonomous Database, respectively. By 2018, these efforts had solidified mLogica’s reputation as a pioneer in automated cloud migration for enterprise, mission critical environments, with its software suites deployed across industries like finance and healthcare, serving clients eager to capitalize on the scalability and cost-efficiency of cloud platforms.

Modernization High Growth (2019 - Present)

Entering 2019, mLogica capitalized on its established expertise in migration software to drive further innovation, responding to the accelerating demand for cloud adoption and digital transformation across enterprises. The company’s STAR*M suite, already a mature solution for distributed workload migrations, underwent significant enhancements during this period, integrating with hyperscale cloud platforms and expanding its compatibility with emerging database technologies. The introduction of LIBER*M in 2020, initially developed to modernize mainframe workloads, exemplified this evolution, enabling clients to transition COBOL-based applications to cloud-native environments with minimal rewriting. In 2021, mLogica acquired pioneering Italian mainframe technology firm Reverse Paradigm, as well as several other strategic purchases of key technology players and assets earlier that year.

By late 2021, mLogica introduced AI-powered code conversion features to both STAR*M and LIBER*M, a leap forward that leveraged machine learning to analyze, refactor, and translate legacy codebases and proprietary scripts, into modern languages like Java, Python, or SQL dialects compatible with cloud-native systems. This AI-driven approach reduced migration timelines by up to 70% and minimized errors, reflecting a natural progression from mLogica’s earlier rule-based automation to intelligent, adaptive solutions tailored to the complexities of modern IT landscapes.

A critical advancement in mLogica’s LIBER*M platform was its AI-powered capability to address the "Last Mile Challenge" in mainframe modernization, the persistent barrier posed by exotic legacy languages like Assembler, Telon, PL/1, and Easytrieve. These languages, deeply embedded in industries such as government and financial services, often jeopardize migration efforts due to their complexity and lack of direct modern equivalents; without converting them, migrations risk stalling or failing entirely, leaving critical workloads stranded on outdated systems. LIBER*M’s AI-driven code conversion engine overcame this hurdle by leveraging machine learning to analyze and transform Assembler’s low-level instructions, PL/1’s procedural constructs, and Easytrieve reporting logic into cloud-compatible languages like Java or C#.

IBM Transactional Processing Facility (TPF) has long been a trusted platform for high-volume transaction processing, but maintaining these legacy systems has become increasingly costly and complex. mLogica’s AI-powered technologies provide a seamless transition from IBM TPF to the cloud, unlocking scalability, agility, and cost-efficiency. Our automated tools, including LIBER*DAHLIA and LIBER*TULIP, offer a streamlined, repeatable process for refactoring legacy code, reducing migration timelines and risks.

From 2022 onward, mLogica’s growth trajectory accelerated as its AI-enhanced STAR*M and LIBER*M platforms gained traction among Fortune 1000 clients and public sector organizations. The integration of AI not only refined code conversion but also enabled predictive analytics within the tools, allowing them to anticipate compatibility issues and optimize performance post-migration. Partnerships with major cloud providers, such as AWS, GCP, Azure and OCI, deepened during this period, with mLogica achieving advanced partner status with AWS and collaborating on joint solutions like mainframe-to-Aurora migrations. By 2025, the company had completed over 1,000 modernization projects globally, with its AI-powered platforms earning recognition in industry reports like the 2024 ISG Provider Lens™ for their role in bridging legacy systems to cutting-edge cloud and data ecosystems. This phase underscored mLogica’s evolution from a database consultancy to a leader in AI-driven IT transformation, cementing its position at the forefront of enterprise modernization.

Hyper-scale Big Data (2020 - Present)

Since 2020, mLogica has strategically positioned itself at the forefront of big data innovation, leveraging its advanced CAP*M Complex Event Analytics (CEA) platform to address the increasingly complex demands of modern data environments. During this period, mLogica has intensified its focus on developing CAP*M CEA into a core technological foundation, enabling real-time, petabyte-scale analytics that support diverse applications across industries. By concentrating on complex event processing, mLogica has effectively tackled the challenges of ultra-high-speed data ingestion, multi-format data integration, and advanced analytics that transform raw data into actionable intelligence. This technological advancement has become the cornerstone of mLogica’s solutions, especially in addressing emerging needs in digital finance, tax fraud analytics, and surveillance systems.

A pivotal development within mLogica’s innovation journey has been the evolution of CAP*M CEA for Tax Fraud Analytics, where the platform has been deployed to help governments and tax authorities worldwide enhance fiscal transparency and enforce compliance. Leveraging AI and machine learning, CAP*M’s fiscalization solutions detect fraudulent activities, trace tax evasion schemes, and uncover hidden behavioral patterns across millions of transactions in near real-time. In response to increasing cross-border e-commerce, mLogica has ensured that CAP*M’s fiscalization framework integrates seamlessly into existing tax ecosystems while adhering to evolving regulatory requirements across jurisdictions. This capability has not only recovered billions in previously lost VAT and property tax revenues but has also strengthened the fight against organized tax fraud rings through comprehensive, real-time data correlation across multiple data sources​​.

In the realm of digital finance, mLogica has capitalized on CAP*M CEA’s advanced analytics capabilities to develop innovative applications supporting digital asset management and regulatory compliance. mLogica has extended CAP*M CEA into the Digital Asset Analytics domain, where it provides real-time risk analysis, automated compliance reporting, and deep forensic analysis of blockchain transactions. As global financial systems embrace tokenization, mLogica’s ability to correlate on-chain and off-chain data at scale offers regulators, financial institutions, and digital exchanges the tools needed to mitigate fraud, monitor illicit financial flows, and enforce governance across decentralized ecosystems. This application of CAP*M CEA has placed mLogica at the center of the accelerating digital finance revolution, offering scalable and cost-effective solutions tailored to support both regulatory oversight and institutional innovation​.

mLogica has also made significant advancements in surveillance and threat detection, using CAP*M CEA as the analytical backbone for next-generation Surveillance as a Service platforms. mLogica has integrated CAP*M CEA into multi-layered airborne surveillance models and border security frameworks that combine satellite imagery, drone feeds, and sensor data with advanced analytics for real-time threat detection and intelligence fusion. This system, tested and deployed in high-security environments such as border control and critical infrastructure protection, has demonstrated CAP*M’s ability to manage vast data volumes from diverse intelligence sources while delivering actionable insights directly to operational teams. This proactive intelligence model has set new benchmarks for how governments, law enforcement, and defense organizations monitor and secure their assets against evolving threats​​.

From 2020 to the present, mLogica’s strategic evolution has been guided by its core mission: to transform the way enterprises and governments leverage their data assets for enhanced decision-making, risk mitigation, and operational efficiency. CAP*M CEA’s versatility has enabled mLogica to simultaneously address challenges in financial crime prevention, tax enforcement, digital finance regulation, and global security operations—demonstrating the platform’s unmatched scalability and adaptability. As mLogica continues to expand its global footprint, CAP*M CEA stands as a proven foundation that powers the company’s vision for intelligent data ecosystems, enabling the convergence of technology, governance, and security in a rapidly digitalizing world.

Strategic Partnerships and Collaborations

mLogica has formed strategic partnerships with multiple leading technology companies:

• Atos: Strategic Partnership to migrate large enterprise customers and databases to the cloud with maximum speed and accuracy and minimum disruption
• AWS: Collaborates with AWS on mainframe modernization solutions, including automated code conversion for legacy system
• Carahsoft: Distributes mLogica’s modernization and analytics solutions to public sector organizations
• Cockroach Labs: Working with Cockroach Labs to accelerate enterprise migrations from mainframe databases to distributed cloud-native databases·      
• GCP: Strategic partnership presenting opportunities for enterprises looking to modernize their distributed databases by migrating to a cloud-native environment through AI-powered, next-generation migration software
• Global Technical Systems (GTS): Launched an advanced innovation lab demonstrating leading-edge hardware and software technologies
• MSFT Azure: Partnership to leverage automated migration tools, such as STAR*M and LIBER*M, enabling seamless, cost-efficient, and low-risk transitions of legacy database and mainframe environments to the Azure cloud
• Oracle: Long-standing partnership in migrating legacy database environments to Oracle Exadata and Oracle Cloud Infrastructure (OCI)
• PwC: Partnering with PwC UK for Gen AI Enhanced Mainframe Modernization Services to the Cloud
• SHI International: Partnering with SHI to enhance data migration capabilities and cloud adoption strategies