SnapLogic, an integration company based in San Mateo, California, has announced the launch of SnapLogic Intelligent Modernizer (SLIM), a new addition to its platform designed to streamline legacy workload migration. SLIM aims to support modernization processes, develop modern SnapLogic pipelines, and automate testing and documentation, with the goal of significantly reducing the cost and complexity associated with preparing IT infrastructure for digital transformation and future AI demands.
SLIM combines established enterprise modernization best practices with agentic AI to generate optimized SnapLogic pipelines and supporting artifacts. This approach is intended to reduce the cost and time involved in modernization efforts by up to 80%. The solution currently supports migrations from leading legacy platforms, including Informatica PowerCenter and IBM DataStage.
Enterprises are currently navigating the consolidation of systems and preparing their IT infrastructures for AI adoption. This often involves decades of complex technical assets, necessitating lengthy and costly modernization processes.
Jeremiah Stone, CTO at SnapLogic, commented on the landscape, stating, “Organizations in today’s technology landscape face immense pressure to modernize legacy IT systems to unlock the full potential of AI. However, modernizing a company’s infrastructure – often made up of thousands of software programs – is like trying to rebuild a marathon runner’s backbone mid-race. By combining proven modernization best practices with agentic AI, SLIM marks a major milestone in legacy technology transformation. As the only integration platform capable of automatically ingesting and transforming enterprise-scale workloads, SnapLogic is making legacy workload modernization more accessible and efficient than ever before.”
SLIM’s capabilities include automated legacy workload analysis for immediate clarity, support for developing modernization plans with configurable migration strategies, and automated generation of optimized SnapLogic pipelines with version tracking and CI/CD support. The system also auto-generates test cases, data, and mock environments with debugging logs, and facilitates the hypercare phase with asset creation, including automated documentation.
Betsy Burton, VP of Research at Aragon Research, noted the broader market impact: “Automation technologies such as SnapLogic Intelligent Modernizer are marking a significant shift in how organizations address legacy modernization. By automating functions like workload analysis and test generation, solutions like SLIM have the potential to meaningfully reduce the timeline and costs associated with modernization efforts. This development highlights a broader movement in the market where enterprises are increasingly seeking ways to accelerate digital transformation and control expenses while updating legacy systems.”
Swaroop George, Director – Integrated Process Management at Cognizant, also provided perspective, stating, “Across every industry, we’re seeing a surge in demand from enterprises looking to modernize legacy systems that were never built for today’s AI-driven world. Migrating legacy integration platforms using SnapLogic has enabled a pivotal step for our client’s digital transformation journey. It has streamlined data connectivity, accelerated AI enablement, and reduced complexity, empowering our joint clients to innovate faster, scale smarter, and unlock real-time insights. The impact is immediate, measurable, and truly transformative for the business.”
SnapLogic integrates AI, data, applications, and microservices into a platform designed to help enterprises connect, automate, and scale. Its platform supports AI-driven workflows through natural language and low-code design.
