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Vyazen

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Build with AI. Ship with Confidence.

AI can now write code faster than any team can review it. Vyazen Continuum is the layer that makes AI aware of your environment and keeps the speed accountable: every architecture decision, every token spent, traced back to a human-approved intent.

  • Min project size
    $10,000+
  • Hourly rate
    $100 - $149 / hr
  • Employees
    2 - 9
  • Locations
    Mumbai, India
  • Year founded
    Founded 2024

Overview by:

Reviewer avatar
Chetan Mundhada
Co-founder and CEO About the Team

1 Locations

  • Mumbai , India

Service Lines
Enterprise App Modernization
60%
Microservices Architecture Services
20%
Custom Software Development
10%
AI Agents
5%
AI Consulting
5%
Select Focus Area
AI Agent Development Focus
AI Agent Frameworks
50%
AI Agent Platforms & Builders
50%
AI Consulting Focus
AI Strategy
40%
AI Deployment
30%
AI Maturation
20%
AI Security Management
10%
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Our Story

Enterprise software is built on years of business logic, architecture, integrations, and engineering decisions. We started Vyazen with the belief that AI is most effective when it understands the systems it works with, not just the code it generates.

Our mission is to help organizations build reliable, governed, and scalable AI-native software development through deep system context and intelligent engineering workflows, enabling enterprises to modernize and continuously evolve with confidence.

Meet the Team

Chetan Mundhada

Chetan MundhadaCo-founder and CEO

Building the framework for enterprise AI-native software development.

What Sets Us Apart

Deep Understanding of Enterprise Codebases

We build a semantic understanding of your codebase, architecture, dependencies, database logic, and business rules before making changes. This gives our teams and AI systems the context needed to work with complex enterprise software.

Modernization Without Losing Business Logic

We modernize legacy applications while preserving existing behaviour. We establish a functional baseline, define the target architecture, migrate systematically, and validate the new system against the original.

AI-Native Engineering With Governance Built In

We combine AI-driven execution with human-approved planning, testing, review, and architectural controls. The goal isn't to generate code faster, but to help enterprises adopt AI across the SDLC without giving up engineering control.

Tools and Technology

Slack
Google Meet
Jira
Loom
AWS
Vercel
Cloudflare
Google Workspace
GitHub
GitLab
Looker

Commonly Asked Questions

We specialize in modernizing complex enterprise applications where business logic, dependencies, integrations, and institutional knowledge make conventional migration risky. We work with teams to understand the existing system, establish its behavioural baseline, define the target architecture, and migrate in governed stages while preserving critical business behaviour. Our approach is particularly suited to legacy .NET, Java, and PHP applications and core business systems with significant regulatory or audit requirements.

We keep communication continuous and transparent, with the level and cadence aligned to each client’s preference. Engineering and business stakeholders have visibility into migration progress, dependencies, risks, decisions, and verification outcomes. Reporting is evidence-backed, showing what has been completed, what remains, and how changes have been validated. Clients remain involved at critical decision and approval points rather than relying on subjective progress updates. They can also reach out to us directly whenever a critical decision, dependency, or issue requires attention.

Vyazen is designed to support modernization in environments where data privacy and regulatory controls are non-negotiable. The platform can run within a client’s private cloud or on-premises environment, keeping the codebase, system context, and engineering workflows within the organization’s perimeter. Vyazen has deployment and update access, not runtime access to customer data, and LLM providers can be configured through private or on-premises endpoints where required. Our architecture is designed with enterprise requirements such as India’s DPDPA and GDPR considerations in mind, so modernization does not require compromising control over sensitive enterprise systems.

Vyazen makes modernization traceable from the existing codebase through to the migrated system. The process establishes an evidence-backed baseline of the application, documents business behaviour and dependencies, and maintains an audit trail for migration activities, reviews, approvals, and test outcomes. Each change is governed through defined stages, with human approval for key decisions and merges. This gives engineering, security, and audit teams visibility into what changed, why it changed, and how the resulting system was validated.

Locations (1)

LBS Marg, Vikhroli West, Mumbai Mumbai, India 400083

2 - 5

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