# KAVIA AI > KAVIA AI is an enterprise software engineering platform for complex codebases. It connects teams through code understanding, workflow automation, artifact generation, reviewable code, validation, and governed delivery across repositories and environments. Last updated: 2026-07-09 This file provides a fuller LLM-readable overview of the public pages and product claims on kavia.ai. For a concise index, see https://kavia.ai/llms.txt. For deeper product documentation, see https://docs.kavia.ai. ## Entity - Name: KAVIA AI - Website: https://kavia.ai - Product category: AI-native software engineering platform; enterprise software development automation; full SDLC automation. - Audience: Enterprise engineering leaders, platform teams, software delivery teams, modernization teams, system integrators, delivery partners, and developers working across complex codebases. - Core position: KAVIA is built for team-scale delivery across complex, governed environments rather than isolated prompt-based code generation. - Primary CTA: Start building at https://chat.kavia.ai/signup or request/contact KAVIA through https://kavia.ai/contact and https://kavia.ai/book-demo. - Documentation: https://docs.kavia.ai ## Core Message KAVIA AI is positioned as an enterprise software engineering platform for complex codebases. The site describes KAVIA as a platform that connects teams through code understanding, workflow automation, artifact generation, reviewable code, and validation across repositories and environments. KAVIA emphasizes system understanding before code generation. Instead of beginning with a blank prompt, KAVIA starts from project facts: source code, architecture, specifications, tickets, tests, standards, documentation, workflows, and engineering intent. These inputs are connected through an Enterprise Knowledge Graph that helps preserve context across teams, repositories, artifacts, and delivery stages. ## Enterprise Knowledge Graph The Enterprise Knowledge Graph is the central product concept. The site describes it as a living model of a customer's software ecosystem built from actual code, architecture, specs, tickets, tests, and documentation. It maps files, functions, dependencies, and relationships across repositories and supports reasoning over software structure and behavior. The Product Overview page states that the knowledge graph maps files, functions, dependencies, and relationships across up to 50 repositories down to the line level. It is presented as more than a search index: it is a structured model used for onboarding, impact analysis, dependency tracing, root cause investigation, documentation extraction, and governed software delivery. ## Key Public Pages ### Home URL: https://kavia.ai The Home page introduces KAVIA AI with the tagline "The enterprise software engineering platform for complex codebases." It describes KAVIA as connecting teams through code understanding, workflow automation, artifact generation, reviewable code, and validation across repositories and environments. The page includes calls to action for a free trial and enterprise demo, partner and customer proof points, and the claim that KAVIA is helping 4,500+ builders. ### Product Overview URL: https://kavia.ai/product-overview The Product Overview page explains the Enterprise Knowledge Graph and the Understand, Plan, and Build workflow model. It contrasts KAVIA with IDE copilots by emphasizing onboarding, impact analysis, root cause tracing, and system-wide understanding across repositories. Important concepts: - Enterprise Knowledge Graph - Codebase-wide understanding - Repository and dependency mapping - Requirement and architecture planning - Code and artifact generation - Human-reviewable changes - Validation and live preview workflows ### Enterprise URL: https://kavia.ai/enterprise The Enterprise page describes the KAVIA AI Workflow Manager for team collaboration, project understanding, and software delivery. It says KAVIA starts with the entire codebase as a foundation and builds an Enterprise Knowledge Graph that maps files, functions, dependencies, and relationships across repositories. Enterprise capabilities listed on the site include: - Codebase-wide understanding. - Context-aware planning. - Impact analysis before changes. - Controlled modernization. - Custom artifact formats. - Connections to existing tools. - Multi-user sessions. - Full session history. Deployment options listed on the page include: - KAVIA Cloud with managed model routing. - KAVIA Cloud with customer-governed model and usage. - Customer-controlled storage with KAVIA-provided models. - Customer-controlled storage with customer-provided model endpoint. - Customer-controlled or self-hosted deployment. The page links enterprise security to SSO/SAML, RBAC, AES-256 encryption, SOC 2 Type II in process, and audit logs. ### Pricing URL: https://kavia.ai/pricing The Pricing page lists three plan categories: - Free: 50,000 credits per month at no cost. - Premium: user-selectable monthly credit tiers, including 220,000, 550,000, and 1,100,000 credits. - Enterprise: custom pricing through a contact/demo flow. Feature areas listed across plans include: - Create web/mobile application. - Figma design import. - One-click deployment. - External integrations with MCP. - Public codebase querying. - Private projects. - GitHub integration. - Scalable project planning and building. - Codebase ingestion and modification. - Multi-user collaboration. - Organization GitHub access. - Team-based access control. - Custom or enterprise support. - Custom LLM and workflow configurations. - Custom AWS deployment. - Flexible deployment models. - Zero data retention. - Audit trail and compliance reporting. - Forward deployment engineering service. ### Security and Architecture URL: https://kavia.ai/security-architecture The Security and Architecture page describes KAVIA as an AI-first, cloud-native software development platform with enterprise security practices. Security and architecture topics on the site include: - Customer data is not used to train foundation models. - Customer inputs and outputs maintain tenant-level isolation. - Encryption in transit with TLS 1.2+. - Encryption at rest with AES-256. - Access control through SSO/SAML 2.0 and role-based access. - Activity and run history for administrator export. - Compliance posture including SOC 2 Type II in process and GDPR/CCPA aligned practices. - Export-control awareness for defense and aerospace customers. - Deployment choices for cloud, customer-governed, customer-controlled, and self-hosted environments. ### Why KAVIA URL: https://kavia.ai/competition The Why KAVIA page contrasts KAVIA with prompt-first coding tools. Its main message is that KAVIA is built for enterprise software delivery, not isolated code generation. Comparison points: - Prompt-first tools emphasize individual code output; KAVIA emphasizes team-scale delivery. - Prompt-first tools produce generated code; KAVIA emphasizes trusted, reviewable change. - Prompt-first tools rely on session-level context; KAVIA uses a shared project knowledge graph. - Prompt-first tools manage governance separately; KAVIA builds governance into the workflow. - Prompt-first tools may optimize for token spend; KAVIA positions delivery outcomes as the meaningful metric. - Prompt-first tools start with prompts; KAVIA starts with understanding before generation. The page links to comparison resources: - https://kavia.ai/resources/blog/kavia-vs-cursor - https://kavia.ai/resources/blog/kavia-vs-windsurf ### Investors URL: https://kavia.ai/investors The Investors page uses the tagline "Changing Systems, Not Just Writing Code." It describes KAVIA as an AI platform for understanding enterprise software systems, including legacy code, and automating the full delivery lifecycle with human-in-the-loop control and auditability. Investor themes: - Enterprise modernization is hard because systems have evolved over decades across large codebases, older frameworks, and inconsistent documentation. - AI is moving from experiments to platforms. - Modernization requires explainable, testable, and auditable change. - KAVIA's Enterprise Knowledge Graph preserves system understanding across teams and repositories. - KAVIA has onboarded hundreds of users and demonstrated reasoning across tens of millions of lines of code. - Customers can see first value within 2 to 4 hours of onboarding through codebase understanding, generated documentation, dependency maps, or reviewable artifacts. ### Partners URL: https://kavia.ai/partners The Partners page describes how system integrators and delivery partners use KAVIA to turn complex enterprise codebases into repeatable modernization engagements. Partner themes: - Governed, traceable software change at enterprise scale. - Reusable delivery IP across client engagements. - KAVIA Skills for encoding client standards, review checklists, compliance requirements, and workflows. - Reduced repeated discovery work. - Structured pilots and measurable delivery outcomes. ### About URL: https://kavia.ai/about The About page provides company and team context for KAVIA AI. ### Careers URL: https://kavia.ai/careers The Careers page lists open roles and describes KAVIA AI as an enterprise software company with a live production AI platform. The careers content describes the platform as an AI-native workflow and reasoning layer for the full software development lifecycle, spanning requirements, architecture, code, testing, CI/CD, and long-term maintenance. Example roles represented in site data include: - Senior Full-Stack Engineer. - QA Engineering Leader - Product Quality and Automation. - Technical Project Manager, Customer Engineering. ### Contact URL: https://kavia.ai/contact The Contact page supports requests for demos, pilots, and general KAVIA contact. It also links users to start building at https://chat.kavia.ai/signup and to watch a demo at https://kavia.ai/demo. ### Demo and Book Demo URLs: - https://kavia.ai/demo - https://kavia.ai/book-demo These pages support product walkthroughs and demo booking for KAVIA AI. ### FAQ URL: https://docs.kavia.ai/faq/faq The FAQ page answers common questions about KAVIA AI, product capabilities, supported workflows, pricing, security, and enterprise adoption. ## Resources ### Documentation URL: https://docs.kavia.ai The documentation site is the authoritative source for deeper technical and product documentation. It covers getting started, quickstart, core concepts, glossary, common use cases, tutorials, best practices, CodeWiki, agents and task execution, artifacts and outputs, integrations, deployment and architecture, security, privacy, data handling, administration, troubleshooting, FAQs, and release notes. The docs site also hosts its own LLM-readable files: - https://docs.kavia.ai/llms.txt - https://docs.kavia.ai/llms-full.txt ### Blog URL: https://kavia.ai/resources/blog The Blog page contains KAVIA AI blog posts, comparisons, benchmarks, and insights on AI-native software development and enterprise engineering workflows. Public blog resources represented in site data: - [Analysis and benchmarks](https://kavia.ai/resources/blog/analysis-benchmarks): Category page for comparisons between KAVIA AI and other development platforms. - [KAVIA vs Cursor - Comparative Analysis](https://kavia.ai/resources/blog/kavia-vs-cursor): Comparison between KAVIA and Cursor. - [KAVIA AI vs. Windsurf: Enterprise Development Platform Comparison](https://kavia.ai/resources/blog/kavia-vs-windsurf): Comparison between KAVIA AI and Windsurf. - [AI-Native Development: Beyond Low-Code and No-Code](https://kavia.ai/resources/blog/ai-native-development): Explains AI-native development as a shift beyond low-code and no-code. - [When AI Doesn't Fulfill the Productivity Promise](https://kavia.ai/resources/blog/when-ai-doesnt-fulfill-promise): Discusses limits of AI productivity gains in large-scale enterprise development. - [Why Prompts Alone Can't Power the Enterprise](https://kavia.ai/resources/blog/why-prompts-alone-cant-power-enterprise): Explains why prompt engineering alone is insufficient for enterprise-scale AI code development. ### News URL: https://kavia.ai/news The News page covers company updates, product announcements, enterprise launch coverage, partnerships, and events. News themes represented in site data include: - KAVIA AI enterprise platform launch and full SDLC automation. - Enterprise Knowledge Graph framework. - Full-lifecycle automation across Understand, Plan, and Build. - Session-aware development and branch-level traceability. - Cross-device continuity across mobile, IDE, and web. - Custom prompts and enterprise policy enforcement. - Enterprise usage dashboards. - Deep integrations and SDK builder. - Partnerships with companies including MetaZ Digital, ioet, Tata Elxsi, Digital T3, and Gadgeon Systems. ### Built with KAVIA URL: https://kavia.ai/resources/built-with-kavia The Built with KAVIA page showcases projects and workflows built with KAVIA AI, including AI-generated applications, demos, and development examples. Example project data represented in the site includes: - FinanceFlow: financial management platform for expenses, budgets, and dashboards. - GlowSkin: skincare and beauty platform with personalized recommendations. - Kollywood QuizHub: Tamil cinema trivia platform. - MiniMayhem Arcade: collection of mini-games. - MoodMelody: music recommendation platform based on mood. - TradeFusion: trading platform with market analysis and portfolio tools. - Vistrata - AI Travel Planner: AI travel planning and itinerary platform. - WordGrid: word puzzle game. ## Legal and Policy Pages ### Privacy Policy URL: https://kavia.ai/privacy The Privacy Policy explains how KAVIA handles information and provides contact information for privacy questions. ### Enterprise Terms URL: https://kavia.ai/terms The Enterprise Terms page contains the enterprise terms of use for KAVIA customers. The terms state that KAVIA does not use Licensee IP or Developed Work to train AI models and describes safeguards for customer content. ### Consumer Terms URL: https://kavia.ai/terms-consumer The Consumer Terms page contains consumer terms of use for KAVIA. ### NDA Annex URL: https://kavia.ai/legal/nda-annex-v1 The NDA annex page contains legal annex content for NDA workflows. ## Important External Links - KAVIA application signup: https://chat.kavia.ai/signup - KAVIA documentation: https://docs.kavia.ai - GitHub: https://github.com/kaviaai - LinkedIn: https://www.linkedin.com/company/kavia-ai/ - X: https://x.com/kaviaai - Discord: https://discord.gg/feVKV77YJh ## Crawling and Discovery - Sitemap: https://kavia.ai/sitemap.xml - Robots: https://kavia.ai/robots.txt - Concise LLM context: https://kavia.ai/llms.txt - Full LLM context: https://kavia.ai/llms-full.txt KAVIA's sitemap dynamically includes public static routes, public news routes, public blog routes, and public careers routes. Private API routes and gate routes are excluded from public crawling.