Best Software Intelligence Platforms in the UK

CAST Highlight is a rapid software intelligence platform that delivers portfolio-level insights in minutes, helping organizations understand the true condition and modernization readiness of their applications. It evaluates every codebase for technical debt, fragility, resiliency gaps, cloud blockers, open-source vulnerabilities, and IP risk using automated code scanning and industry benchmarks. The platform distinguishes between structural issues that require remediation and low-impact debt that can be safely tolerated, enabling smarter investment decisions. CAST Highlight automatically identifies ideal migration paths to cloud-native services, complete with estimated effort and blockers to address. It also evaluates software sustainability by tracing code inefficiencies and estimating related CO₂ impact, allowing teams to prioritize greener development choices. Security, compliance, and third-party component risks are surfaced within minutes, not months. With clear dashboards and board-ready reporting, executives can instantly quantify progress, validate architectures, and track transformation KPIs. CAST Highlight empowers enterprises to modernize faster, cut risk, and strategically steer their software portfolios with evidence—not assumptions.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

Whether you're curious about the updates made to a legacy Cobol system during the 90s or seeking advanced strategies to enhance your current C# development project, Kuscos stands out as the preferred software intelligence platform. It offers development teams, managers, and executives vital insights into source code modules and team dynamics, covering aspects from design documentation to dependencies, duplicate code, and quality rule infringements. Additionally, Kuscos monitors team activities, tracking everything from repository commits to the resolution of issues. Remarkably, it achieves this across more than 16 different legacy and contemporary programming languages. As highlighted in a previous discussion, the Standish Group indicates that only 29% of software projects have been considered successful in meeting their time, budget, and functionality objectives over the last five years. Despite advancements in coding efficiency and design methodologies, overall improvements in project success rates have remained stagnant. This indicates a pressing need for better management tools, which Kuscos effectively addresses.

Understand serves as an all-encompassing platform for static analysis and code comprehension, enabling software developers to visualize and grasp the intricacies of extensive and complex codebases, regardless of whether they are legacy systems, safety-critical applications, or modern multi-language initiatives. By parsing the source code, it creates a thorough “code dictionary” that catalogs every entity—such as files, classes, functions, and variables—while generating vital cross-references, call trees, dependency graphs, and control-flow diagrams. With its interactive and customizable visual tools, including call graphs, control flow graphs, and UML-style class diagrams, users can delve into the relationships between different code components, identify dependencies among modules, and anticipate the potential impact of changes throughout the project. Furthermore, Understand provides a comprehensive analysis of various metrics at multiple levels—file, class, and function—like cyclomatic complexity, total lines of code, comment-to-code ratios, and coupling/cohesion, which serve as essential indicators of maintainability; these metrics can be easily visualized in treemaps and exported in HTML or CSV formats. This multifaceted approach not only enhances code comprehension but also aids in improving overall software quality and maintainability.

The Code Registry is an innovative platform that harnesses AI for code intelligence and analysis, providing companies and non-technical users with complete insight into their software codebase, regardless of their coding experience. By linking your code repository—such as GitHub, GitLab, Bitbucket, or Azure DevOps—or by uploading a compressed archive, the platform establishes a secure "IP Vault" and conducts an extensive automated evaluation of the entire codebase. This analysis generates various reports and dashboards that include a code-complexity score to assess the intricacy and maintainability of the code, an open-source component evaluation that identifies dependencies, licensing issues, and outdated or vulnerable libraries, as well as a security assessment that pinpoints potential vulnerabilities, insecure configurations, or risky dependencies. Additionally, it provides a “cost-to-replicate” valuation, which estimates the resources and effort required to recreate or substitute the software entirely. Ultimately, the platform equips users with the necessary tools to enhance their understanding of code quality and security, thereby fostering more informed decision-making in software development.

Identify connections between applications, predict code change impacts, understand complex Java and.NET codesbases, from API to database. With runtime and binary scans combined, create a complete graph of the app structure. Understanding the full impact of code changes before they are deployed allows you to accurately estimate the scope of your project. Your IDE can help you identify undetected software references and usages across projects and applications. Many tools, like IDEs, only reveal project-specific code dependencies. CodeLogic exposes hidden dependencies between applications and databases. Our approach is different. We combine binary scans and runtime profiling to create a searchable, real-time system of record for database dependencies and code. This intelligence allows application teams to see the impact of schema and code changes before they are deployed in production.

Reduce static code analysis time from 1000s to just minutes. Security vulnerabilities can be fixed across hundreds of repositories in a matter of minutes. Moderne automates code-remediation tasks, allowing developers to deliver more business value every day. Automate safe, sweeping codebase changes that improve quality, security, cost, and code quality. Manage dependencies in your software supply chain - keeping software up-to-date continuously. Eliminate code smells automatically, without the scanning noise of SAST or SCA tools. You will always work in high-quality code. It's the last shift for security. Modern applications naturally accumulate technical debt. They are made up of many codebases and software ecosystems, which include custom, third-party and open-source code. Maintaining your code has become more complicated due to software complexity.

CAST Imaging transforms software understanding by automatically reconstructing and visualizing the full architecture of an application from the source code. It identifies every object, interface, data structure, framework, and dependency across more than 150 technologies. AI-driven summaries highlight how transactions execute, where components interact, and where structural flaws or modernization opportunities exist. Teams can model "what-if" scenarios, evaluate change impact, and validate architectural design before any code is touched. CAST Imaging also accelerates cloud and microservices transformations by exposing decoupling candidates and hidden interdependencies. Developers, architects, and onboarding teams gain a single source of truth that replaces outdated documentation and tribal knowledge. Whether deployed on cloud or on-premises, it offers a secure, scalable environment for deep analysis. CAST Imaging ultimately helps organizations modernize faster, reduce rework, and govern software quality with clarity and precision.

EasyCode is an AI tool designed to comprehend your codebase. It empowers developers by providing immediate answers to their inquiries. Benefit from context-aware code recommendations, gain insights into legacy projects, and effortlessly locate the pertinent code. Integrate ChatGPT directly into your IDE for seamless access. This enables contextual responses and suggestions that streamline the developer's workflow. Maintain a uniform coding style while receiving instantaneous feedback on the quality of your code. By reducing time spent on monotonous tasks, developers can dedicate more time to impactful coding assignments. Additionally, it promotes enhanced context and knowledge sharing within teams, fostering collaboration and efficiency. This ultimately leads to a more productive development environment.

The PRD builder streamlines the process of creating product documentation and user stories, allowing for effortless integration with AI-driven development tools such as Lovable, Bolt, and Cursor. Tailored to enhance vibe coding workflows, it empowers product teams to transform concepts into practical, AI-optimized specifications, thereby speeding up development and fostering better teamwork. This innovative tool not only enhances efficiency but also ensures that all team members are aligned and informed throughout the project lifecycle.

vFunction revitalizes Java applications while streamlining the transition to the cloud. It enables the swift and automatic extraction of efficient microservices from intricate monolithic systems. The platform offers a unified interface that oversees and monitors comprehensive cloud migration and modernization initiatives across an entire application portfolio. Its modernization dashboard orchestrates the complete migration process, facilitating decisions on whether to refactor, retain, retire, replatform, or rewrite applications. While your cloud transformation efforts are progressing, challenges remain in advancing application modernization endeavors. It’s essential to assist teams in overcoming obstacles and accelerating their progress. With the mounting demand for modernization, relying solely on lift and shift strategies is insufficient. These legacy applications present significant challenges for refactoring, yet leveraging automation and analytics can simplify the modernization of even the most complicated applications. Embrace the opportunity to tackle more intricate projects with confidence, knowing that you have the right tools at your disposal.

DeltaForce is a robust application analytics platform that offers in-depth insights into enterprise applications and databases. By utilizing automated knowledge bases for intricate applications built on various languages and technologies, DeltaForce helps organizations enhance development and maintenance efficiency. The tool leverages patented technology to automatically import and scrutinize both source files and database schemas, effectively identifying the detailed object-level dependencies that exist between them. Furthermore, DeltaForce operates based on fundamental user input configurations, eliminating the need for users to manually track dependency information. This functionality allows for seamless imports and analyses of both source files and database schemas, facilitating the mapping of relationships within a program. With DeltaForce, organizations can streamline their application management processes and enhance overall productivity.

CoreStory serves as an advanced code-intelligence platform that leverages artificial intelligence to delve into enterprise codebases, revealing the intricate business logic, architectural frameworks, and technical interdependencies present in older systems. By employing a method of recursive decomposition and recomposition, it simplifies complex applications to create a comprehensive intelligence model that includes business requirements, rules, workflows, system design, and insights at the code level. This interactive platform provides teams with real-time capabilities to inquire about their code, navigate entry points, trace connections, and visualize architecture diagrams, thereby expediting processes such as modernizing legacy applications, maintaining software, governing AI-generated code, and onboarding developers. Additionally, CoreStory facilitates integration through API/MCP with essential engineering systems, allowing for the creation of visual dashboards, such as a business-process explorer, architecture explorer, and code entry-point explorer, further enhancing the user experience and operational efficiency. Ultimately, CoreStory empowers organizations to harness their legacy systems more effectively and make informed decisions regarding their technological infrastructure.

SMART TS XL is a sophisticated platform designed for enterprise-level application discovery and software intelligence, allowing organizations to efficiently search, analyze, and visualize interdependencies across diverse codebases, irrespective of their underlying platforms or programming languages. The platform processes a wide range of inputs, including source code, database schemas, configuration files, documentation, ticketing logs, and JCL, pulling from both legacy systems—like COBOL and AS/400—and contemporary environments such as Java, .NET, Python, and C++. By consolidating all these assets into a central, searchable repository, SMART TS XL harnesses patented indexing technology capable of analyzing millions to billions of lines of code, delivering results in mere seconds. This rapid response time empowers users to swiftly find specific fields, error messages, modules, or logic throughout the enterprise. Moreover, it offers dynamic visualizations, including control-flow diagrams and cross-reference graphs, thereby enhancing understanding and facilitating impact analysis across complex systems. This capability not only accelerates decision-making processes but also supports the efficient management of software assets across an organization.

eXplain is a robust tool developed by PKS Software GmbH for code analysis and the assessment of legacy systems, specifically aimed at performing in-depth evaluations of legacy applications on mainframe platforms like IBM i (AS/400) and IBM Z. This software allows organizations to gain insights into their software's contents, structural integrity, and identifies components that may be retained, improved, or phased out. By importing existing source code into a standalone "eXplain server," the tool eliminates the necessity for installations on the host system, utilizing sophisticated parsers to scrutinize programming languages such as COBOL, PL/I, Assembler, Natural, RPG, and JCL, along with information pertaining to databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain creates a centralized repository that functions as a knowledge hub, from which it can produce cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and comprehensive reports on object and resource usage. This enables users to visualize relationships within the code, enhancing their understanding of the software landscape. Ultimately, eXplain empowers organizations to make informed decisions regarding the future of their legacy systems.

Rocket Enterprise Analyzer serves as a sophisticated platform for application intelligence and static analysis, providing organizations with extensive insights into their intricate mainframe or legacy application portfolios. This tool thoroughly examines source code, databases, job schedulers, and system definitions, even when dealing with vast quantities of data, and it constructs a centralized repository that captures the complete application structure. By employing detailed dependency mapping, visualizations of control-flow and data-flow, impact analyses, and metrics on code usage, it uncovers the intricate connections among modules, data elements, and processes. The platform is compatible with languages and environments commonly found in mainframe and legacy systems, facilitating a high-level architectural understanding without the need for insights from the original developers or reliance on outdated documentation. Additionally, it features an AI-driven Natural Language Analysis Assistant, allowing developers to interact with the codebase using simple, everyday language queries, thereby streamlining the analysis process and enhancing productivity. This innovative approach not only simplifies the exploration of complex systems but also empowers teams to make informed decisions based on comprehensive, real-time data insights.

Sita reduces AI expenditures by 30% and allows developers to save 25 hours each month through the automation of search and documentation processes. By transforming code, messages, and documentation into a comprehensive knowledge graph, it delivers only the pertinent information to your coding tools, resulting in a 32% reduction in input tokens. Furthermore, Sita ensures that your documentation remains current and facilitates the release of features at a speed that's 37% faster while also decreasing the number of bugs by 68%. The onboarding process is streamlined with premium support, taking just one hour. Notably, Sita is compatible with your existing tools and can enhance their capabilities using MCP or its own agent, making integration seamless and efficient. This innovative approach not only optimizes performance but also significantly improves overall productivity in development workflows.