KAVIA AI Unveils Enterprise Platform to Automate the Full Software Development Lifecycle

San Francisco, CA – November 14, 2025 – KAVIA AI, the AI-first platform that automates the software development lifecycle through knowledge graphs and intelligent workflows, today announced the Enterprise Launch of its platform for large engineering organizations.

Built by engineers who have created compilers, developer tools, and automation frameworks at scale, KAVIA Enterprise provides an end-to-end AI-native environment for requirements, architecture, code generation, testing, and deployment — all orchestrated through a unified knowledge graph that lives inside the customer's own repositories.

"At enterprise scale the challenge is not generating a few lines of code, it is keeping requirements, architecture, and large evolving codebases in sync," said Labeeb Ismail, Founder and CEO of KAVIA AI. "KAVIA was built to bring understanding into software development. Our knowledge graph, workflows, and integrations give engineering leaders a clear, traceable path from idea to running software inside their own environments with governance and control."

Enterprise Capabilities Announced

At its Enterprise Launch event, KAVIA introduced a major expansion of its platform with capabilities designed specifically for large, distributed engineering organizations operating across hundreds of repositories and multi-team delivery models.

1. Enterprise Knowledge Graph Framework

KAVIA generates a continuously updating knowledge graph directly from the customer's codebase — and stores it inside their own repositories. This ensures:

• • The graph evolves automatically as code changes
• • Cross-repo architectural understanding stays current
• • No knowledge or metadata leaves the customer's control
• • Instant impact analysis, dependency tracing, and root-cause detection
• • Enterprise-wide reasoning across large, multi-language systems

This architecture forms the backbone for every Inspect → Plan → Build workflow.

2. Full-Lifecycle Automation (Inspect → Plan → Build)

Across the SDLC, KAVIA automates the enterprise workflow in a structured, reviewable sequence:

• • Inspect: Deep analysis of large codebases, multi-repo systems, defects, regressions, and architecture
• • Plan: AI-generated epics, user stories, interaction diagrams, architecture flows, deployment models, and test plans from BRDs, RFPs, or legacy documentation
• • Build: Production-ready code, automated tests, CI workflows, environment-specific SDKs, and device/emulator integrations

The result is a traceable, auditable path from requirements to running software.

3. Session-Aware Development & Branch-Level Traceability

Every AI-assisted session maps to a Git branch, enabling:

• • Full auditability and change management
• • Seamless continuation across mobile, IDE extensions, and web
• • Peer review workflows
• • Collaboration across teams
• • Clear separation between exploratory and production work

This is designed explicitly to meet enterprise governance requirements.

4. Cross-Device Continuity (Mobile → IDE → Web)

Developers can now start a session on mobile, continue in Visual Studio Code, and finalize in the web workspace — with all context, diffs, and session history preserved.

This multi-surface workflow is unique in the enterprise software automation landscape.

5. Custom Prompts & Enterprise Policy Enforcement

Organizations can define custom prompts and governance rules to enforce:

• • Security, compliance, and regulatory constraints
• • Code quality and architecture policies
• • Documentation and audit requirements
• • API and interaction design standards
• • Engineering checklists and workflows

KAVIA analyzes generated code to measure alignment with enterprise rules, shifting governance earlier in the lifecycle.

6. Enterprise Usage Dashboards

Engineering and platform leaders gain visibility into:

• • Feature adoption across teams
• • Daily and weekly usage patterns
• • Training needs and enablement opportunities
• • Velocity and quality improvements
• • Bottlenecks in workflows or team usage

This moves AI adoption from experimentation to an operational, measurable capability.

7. Deep Integrations & SDK Builder

KAVIA now integrates with enterprise environments through:

• • SDK Builder for Android TV, RDK, IoT devices, custom emulators, and proprietary hardware
• • MCP connectors to internal systems and tools
• • CI/CD integrations with existing pipelines, compilers, and test frameworks
• • Knowledge ingestion from systems like Jira, Confluence, Google Drive internal documentation stores and more

These integrations allow KAVIA to automate not only code generation but also build, test, and validation loops.

8. Roadmap: Knowledge Diff & Interactive Agent Mode

KAVIA previewed two upcoming enterprise features:

• • Knowledge Diff (KDEV): A semantic, multi-repo diff engine for release notes, regression analysis, and architecture drift detection
• • Interactive Agent Mode: A context-preserving workflow for refining AI-generated code in large systems without looping or context loss

Together, these elevate KAVIA from an AI coding tool to a full-scale enterprise automation platform.

Partner Ecosystem & Customer Impact

KAVIA has a rapidly expanding ecosystem enterprise partners and engineering teams across industries, transforming their SDLC through AI.

Tata Elxsi

A global leader in design and technology services, Tata Elxsi is using KAVIA to automate more of the lifecycle — from modernization to OTT platform development — beyond traditional code-assist tools.

"Traditional assistants automate coding, but only shift overall productivity by single digits," said KP Sreekumar of Tata Elxsi. "We chose KAVIA because it understands the full lifecycle, and we're already seeing real improvements in speed, structure, and quality."

Digital T3

Digital T3 and KAVIA co-designed KAVIA Pods: small, AI-empowered delivery teams that ship enterprise software with higher velocity and fewer resources.

"Together we've shown that enterprise software can move at startup speed," said Pubudu Weerasinghe, Head of Product. "KAVIA brings architecture, code, testing, and documentation into one flow."

New Partnership with Gadgeon Systems

KAVIA also announced a partnership with Gadgeon Systems, a global engineering firm specializing in full-stack IoT, embedded systems, and cloud platforms.

"Our engineers build complex, full-stack solutions that integrate hardware, firmware, and cloud analytics. KAVIA'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." — Hariprasad V. Nair, CEO, Gadgeon Systems

To learn more about KAVIA's Enterprise partners and capabilities visit https://www.kavia.ai/enterprise

Path to Enterprise Adoption

KAVIA Enterprise is available for structured pilots and production deployments. Typical pilots include:

• • 10–20 users across representative projects
• • Success metrics such as velocity, coverage, rework, and traceability
• • Integration into existing Git and CI/CD workflows
• • Joint implementation with KAVIA Forward Deployment Engineers

Enterprises can explore piloting at kavia.ai/contact.

About KAVIA AI

KAVIA AI is an enterprise AI platform that automates the software development lifecycle. By combining natural-language interfaces, knowledge graphs, and workflow automation, KAVIA helps engineering teams move from insight to implementation faster while maintaining governance and security in cloud or customer-hosted environments. Headquartered in San Francisco, KAVIA serves global technology enterprises and engineering partners building the next generation of intelligent systems.

Learn more at www.KAVIA.ai

Media Contact

press@kavia.ai