adapts.ai: Intelligent Software Modernization and Documentation at Scale

adapts.ai is a cutting-edge GenAI platform designed to revolutionize software maintenance and modernization by reverse engineering complex codebases into comprehensive, up-to-date documentation and diagrams stored in a dynamic wiki. Built by VerifyAI, Inc., it leverages a patented engine and fine-tuned language models to extract business logic, architecture, data flow, and technical specifications from legacy systems—eliminating outdated documentation and tribal knowledge bottlenecks. The platform generates high-fidelity artifacts including architecture diagrams, sequence diagrams, data models, and high-level requirements, all while ensuring full code privacy and security through temporary processing and zero data retention. With an AI-powered chat assistant that maintains full context across large repositories, adapts.ai enables teams to query, understand, and modernize code with confidence. It supports enterprise deployments in private environments, integrates seamlessly with GitHub, Bitbucket, and GitLab, and offers automated pull request generation and migration workflows. Ideal for engineering teams managing large-scale applications, adapts.ai accelerates onboarding, enhances collaboration, and ensures code modernization adheres to industry best practices and security standards.

Key Features:

• Code-to-Wiki Reverse Engineering: Automatically transforms codebases into detailed, structured specifications and diagrams.
• Patented GenAI Engine: Processes entire codebases at scale, handling repositories over 250MB and 3,000 files with precision.
• Comprehensive Documentation: Generates high-level requirements, architecture diagrams, sequence diagrams, data models, and business logic documentation.
• AI-Powered Chat Assistant: Offers natural language interaction with full context of the generated wiki for instant codebase insights.
• Continuous Wiki Updates: The wiki is refreshed periodically and continuously syncs with codebase changes based on user plan.
• Automated Modernization: Supports automated migrations, code generation, infrastructure-as-code creation, and test suite development.
• Enterprise-Grade Security: Code is processed temporarily and deleted immediately; never stored, shared, or used to train AI models.
• Private Deployment Options: Available in secure SaaS, VPC, or private cloud environments for compliance and data sovereignty.
• Customizable Output: Allows users to tailor cloud infrastructure preferences and frontend/backend language choices.
• Integration with Git Platforms: Connects to unlimited private repositories on GitHub, Bitbucket, and GitLab.
• Knowledge Graph Creation: Builds a contextual understanding of the codebase to support intelligent decision-making.
• Tribal Knowledge Democratization: Enhances team onboarding and collaboration by preserving and sharing critical code insights.
• Industry-Standard Artifacts: Outputs secure, maintainable, and best-practice-compliant code and documentation.
• 24/7 Priority Support (Enterprise): Dedicated customer success team provides round-the-clock assistance for enterprise users.
• Usage-Based Updates: Wiki refreshes align with user pricing tiers, ensuring timely and scalable updates.

Pricing: adapts.ai offers a Freemium model with tiered access based on usage, codebase size, and update frequency. While specific pricing details are not publicly listed, the platform provides scalable options for teams and enterprises, including private deployment and premium support. A free trial is available for users to experience core features, including code reverse engineering and AI chat assistance, before upgrading to paid plans.

Conclusion: adapts.ai stands out as a transformative tool for engineering teams and enterprises navigating legacy code challenges. By combining secure, context-aware AI with intelligent documentation and modernization workflows, it empowers developers to maintain, understand, and evolve complex systems faster and with greater confidence—making it an essential asset in today’s high-speed software development landscape.