Founder Journey · Enterprise to AI Platform

Naga Phanindra Ravuri

I build high-trust software systems and turn deep enterprise engineering lessons into practical AI products. After working on high-scale systems across Mastercard, Visa, and Toyota ecosystems, I founded ezit.ai to help real operators launch, run, and grow with an intelligent operating layer.

8 YearsEnterprise Product Engineering
Billion-ScalePayments and Risk Workloads
AI + MemoryApplied Platform Architecture
Naga Phanindra Ravuri
Founder and CEO · ezit.ai
Building for the next decade of AI-native business operations
MastercardVisaToyota ProgramsAI Systems

Founder Thesis

Every local entity is now expected to run like a modern digital company, but most still operate across disconnected tools, repeated manual work, and fragmented customer context. ezit.ai is designed to unify this into one intelligent operating layer.

Why This Founder Can Execute

My path has been shaped by high-stakes software: payment rails, fraud workflows, risk platforms, and reliability-first distributed systems. That background helps me build AI products with enterprise discipline, not demo-first shortcuts.

Founder Narrative

A Journey from Systems Engineering to Company Building

This page is intentionally structured as a journey: early foundation, enterprise complexity, pattern recognition, and finally company creation around a durable market problem.

Stage 01

Foundation: Physics, Math, and Engineering Discipline

I started as a physics and mathematics enthusiast, then completed a Bachelor of Technology in Aeronautical Engineering at Hindustan University, Chennai, Tamil Nadu, India. That training shaped how I approach systems: structured thinking, precision, and disciplined problem solving.

Stage 02

Enterprise Foundation: Accenture Programs in Mobility and Insurance

At Accenture, I contributed to Toyota Connected Technologies and Zurich Submission Hub. This gave me practical exposure to connected vehicle data platforms, service workflows, and commercial insurance submission operations in enterprise settings.

Stage 03

Advanced Study and High-Stakes Platforms

After Accenture, I completed a Master’s in Information Studies at Trine University in Indiana, USA, and then moved into Visa and Mastercard roles focused on risk, payments, reliability, and distributed systems at global scale.

Stage 04

Founding ezit.ai: Build the AI Entity Operating Layer

ezit.ai combines website launch, AI customer support, campaign generation, event workflows, and memory-guided improvement. The goal is simple: make sophisticated digital execution accessible for real businesses without requiring a large internal team.

Execution Credibility

Leadership and Technical Impact

Mastercard

Senior Software Engineer · Digital Enablement and New Payments

  • Designed and modernized microservice workflows for large-scale transaction and billing systems.
  • Improved throughput and operational reliability in high-volume data pipelines.
  • Led distributed integration patterns across event-driven and API-first architectures.

Visa

Software Engineer · Risk and Fraud Intelligence

  • Contributed to risk platform modernization for stronger analyst workflows and system resilience.
  • Implemented enterprise identity and access models aligned with security and compliance constraints.
  • Drove accessibility and operational automation efforts in mission-critical product surfaces.

Accenture Programs

Application Development Associate · Toyota Connected Technologies and Zurich Submission Hub

  • Contributed to connected mobility service workflows used to deliver reliable vehicle and customer-facing data experiences.
  • Supported commercial insurance submission workflows for brokers, users, and organizations in enterprise policy operations.
  • Built and refined integration logic for data quality, workflow consistency, and cross-team delivery alignment.

Founder and CEO · ezit.ai

AI Entity Operating Platform

  • Defining a product architecture that unifies launch, support, promotion, events, and memory intelligence.
  • Building AI-assisted website and campaign flows for non-technical operators to execute faster.
  • Positioning ezit.ai as a practical operating system for modern business presence and growth.

Education and Progression

Academic Path and Career Sequence

Undergraduate Foundation

Bachelor of Technology in Aeronautical Engineering, Hindustan University, Chennai, Tamil Nadu, India.

Graduate Study

Master’s in Information Studies, Trine University, Indiana, USA.

Career Flow

Accenture programs first, then Master’s, then Visa, then Mastercard, and now founding ezit.ai.

Operating Style

Physics and math driven thinking, enterprise execution discipline, and AI-native product building.

Product Strategy

The Platform Pillars Behind ezit.ai

Launch Velocity

Reduce time from concept to public website so operators can start digital execution in days, not months.

AI for Real Operations

Support, communication, and promotion should be assisted by AI systems that understand context, not isolated prompts.

Campaign Intelligence

Enable fast generation of business visuals and offers while keeping branding and intent consistent.

Memory and Learning Loop

Preserve what worked and what failed so each cycle improves product, messaging, and customer outcomes.

MemoryVault-MCP Server

Open-source memory infrastructure aligned with the founder thesis

In parallel with ezit.ai, I built MemoryVault-MCP to make AI assistants context-aware across sessions, requirements, and project systems. It reflects the same belief behind ezit.ai: high-quality AI output depends on memory quality.

Persistent Context

Store decisions, constraints, architecture patterns, and outcomes for stronger AI-assisted execution.

Jira and ALM Connectivity

Bring sprint context and acceptance criteria directly into AI workflows without manual context transfer.

MCP Native

Designed for MCP-compatible clients as a reusable context layer.

Developer First

Built for teams that need AI to reason with long-term project memory, not only the active file.

MCP Endpointhttps://memoryvault-mcp.onrender.com/mcp

Open for Strategic Conversations

I am focused on building ezit.ai into an intelligent operating platform for modern entities, and I am open to meaningful investor conversations, senior founding leadership opportunities, and collaborations where execution depth matters.

If you are evaluating founder-market fit, leadership potential, or high-trust AI product execution, I would value the conversation.

Direct Contact

Email: ravurinagaphanindra@gmail.com · Phone: +1-314-749-7747