Vilosia provides an innovative platform that visualizes software architecture and helps organizations migrate legacy systems seamlessly. Utilizing Generative AI, Vilosia automatically identifies event triggers within codebases, allowing users to understand data flows better. Its NoCode approach enables technical and non-technical users to build and manage applications efficiently, significantly reducing the migration time and effort usually required for such projects. Whether you're looking to modernize your systems or develop new applications, Vilosia empowers teams to visualize, collaborate, and execute their technical strategies with ease.

Agent Visualiser is a developer-focused visualization tool that maps the internal operations of AI agents into intuitive graphical flows. It hooks into an agent’s runtime, capturing every prompt, LLM call, decision node, action execution, and memory lookup. Users can view these steps in an interactive graph, expand nodes to inspect parameters and responses, and trace back the logic path that led to each outcome. The tool supports LangChain agents out of the box, but can be adapted for other frameworks via simple adapters. By providing real-time insights and detailed step breakdowns, Agent Visualiser accelerates debugging, performance tuning, and knowledge sharing across development teams.

Diagram provides a comprehensive solution for generating technical diagrams using AI technology. From UML diagrams and flowcharts to cloud architecture and data flow diagrams, Diagram simplifies the process by transforming text or code snippets into intricate visual representations. Its AI capabilities ensure accurate and efficient diagram creation, aiding users in understanding and presenting complex data and workflows seamlessly.

LangGraph4j represents AI agent operations—LLM calls, function invocations, data transforms—as nodes in a directed graph, with edges modeling data flow. You create a graph, add nodes for chat, embeddings, external APIs or custom logic, connect them, and execute. The framework manages execution order, handles caching, logs inputs and outputs, and lets you extend with new node types. It supports synchronous and asynchronous processing, making it ideal for chatbots, document QA, and complex reasoning pipelines.

HoundDog.ai provides a proactive, lightweight, and ultra-fast static code scanning solution aimed at preventing PII (Personally Identifiable Information) leaks and ensuring privacy compliance at the code level. Leveraging AI, it continuously detects vulnerabilities that expose sensitive data in various mediums, such as logs, files, tokens, cookies, and third-party systems. In addition to identifying potential data breaches, HoundDog.ai delivers contextual remediation strategies, tracks and visualizes data flows, and automates the generation of Records of Processing Activities (RoPA) for GDPR compliance. It integrates seamlessly with developer workflows, CI/CD pipelines, and popular frameworks such as GitHub, GitLab, and Jenkins.