The enterprise software
engineering platform forcomplex
codebases.

KAVIA AI connects teams through code understanding, workflow automation, artifact generation, reviewable code, and validation across repositories and environments.

Start with 50,000 Free Credits
Onboard onto a new codebase Map cross-repo dependencies Analyze upgrade impact Generate unit tests See More

Trusted by the world's leading enterprises

TATASentellentTechMHarmanGadgeonVantivaMind DigitalGemtekDIGITALT3PersistentNovadataThe Data CompanyXioetZenstarGCSNew Kinpo GroupIntetrixComcastCBNSaskenSkyTVS NextTelekom

Jon Gibbs

U.S. President, GCS Tech Talent

We’re proud to partner with KAVIA and help drive the next wave of enterprise software innovation. Our Innovation Hub was created to connect global talent with transformative technologies.

Read the announcement ↗

Alfred Gracias

CEO, DigitalT3

Working with KAVIA as our partner has been valuable. Their platform enables us to automate the entire SDLC, planning, architecture, code generation, testing, and deployment, while maintaining the high standards our clients expect. KAVIA’s capabilities empower us to deliver better product services faster, and that results in real-world impact for our clients.

Read the announcement ↗

Hariprasad V. Nair

CEO, Gadgeon Systems

Our engineers build complex, full-stack solutions that integrate hardware, firmware, and cloud analytics. KAVIA AI’s platform adds an automation layer that understands these systems end-to-end, generating architecture documentation, code insights, and design validation in minutes. We see KAVIA as a powerful partner to accelerate how Gadgeon delivers innovation to customers across industrial IoT and connected-device domains.

Read the announcement ↗

Nitin Pai

Chief Strategy Officer, Tata Elxsi

GenAI adoption demands more than tools, it requires a trusted partner to pilot, productionize and scale development and deployment workflows.

Read the announcement ↗

What KAVIA does

Built for teams, not just files

Enterprise software delivery happens across systems, teams, repositories, reviews, and release processes. File-level tools were not built for that.

Product overview →

File-level tools

Helpful for isolated edits

Bounded by the open file, the current prompt, or recent local context.

  • Context has to be repeatedly explained
  • Impact across repositories is hard to see
  • Specs, tests, and reviews remain scattered

KAVIA AI

Designed for enterprise delivery

A persistent Enterprise Knowledge Graph of your system powers planning, code, tests, and governed delivery.

  • Shared understanding across the team
  • Codebase-grounded answers and artifacts
  • Reviewable change across complex systems

The Enterprise Knowledge Graph

A living model of your software system

01

Onboard faster

Help engineers understand unfamiliar systems, dependencies, and decisions faster.

02

Analyze impact

Understand what a change may affect before implementation begins.

03

Trace root cause

Follow failures across repositories, services, and system relationships.

04

Ask architecture questions

Query dependencies, flows, modules, and architectural intent from a shared model.

05

Preserve knowledge

Keep institutional context available as teams and codebases change.

06

Ground every output

Improve specs, code, tests, and documentation with persistent project knowledge.

From understanding to trusted software change

One pathway from intent to delivery

  1. 1

    Understand

    Map the codebase, architecture, dependencies, and system behavior.

  2. 2

    Plan & Design

    Turn requirements and tickets into specs, stories, and test cases.

  3. 3

    Build

    Generate reviewable code changes grounded in the actual system.

  4. 4

    Test

    Create tests, inspect impact, and produce evidence the work is ready.

  5. 5

    Modernize & Operate

    Analyze legacy applications, identify coupling, and plan controlled refactoring.

Works where developers already work:VS CodeCLIGitJiraConfluenceGitHub Actions

Demo library

See KAVIA's core features in action

View the demo library →

Designed for enterprise control

Your infrastructure. Your models. Your rules.

Choose where KAVIA runs, where your engineering data persists, and who controls model inference.

Deployment options

KAVIA Cloud
Dedicated, customer-isolated VPC
Customer-controlled storage
Code and artifacts stay in your AWS account
Customer-provided model
You govern the inference endpoint
Self-hosted
Restricted-network and air-gapped ready
Compare deployment models →

Security and governance

  • SSO / SAML
  • Role-based access
  • AES-256 encryption
  • Full audit logs
  • SOC 2 Type I completed, Type II underway
  • Bring your own LLM keys
Review the security architecture →

Frequently asked questions

Answers before you ask

Browse all FAQs →

Product

The Enterprise Knowledge Graph, supported stacks, and multi-repo support.

Security

Tenant isolation, encryption, access control, and audit logging.

Deployment

Cloud, customer-controlled storage, BYO model, and self-hosted.

Pilot

How to scope, run, and evaluate a pilot on a real workflow.

Pricing

Plans, credits, and how enterprise packaging works.

See KAVIA on your own codebase

If you are building, modernizing, or maintaining a complex software system, KAVIA can show how project knowledge turns AI output into trusted software change.

Book a DemoTry a live project