Now onboardingSearch OSearly access

Building AI systems that turn search data into compounding growth.

I’m Upender Kodari — founder and AI product builder. I design and ship AI-native search intelligence: systems that show lean teams what holds their site back, what to fix first, and how to get found.

Illustrative interface · sample data

3first-party data sources joined to every finding
4-stagepipeline, from crawl to resolution
Scoredevery opportunity ranked by impact and confidence
You deciderecommendations only — no change ships without approval
Search OS

Know what holds your site back — and what to fix first.

Search reports are long and priorities are unclear. Search OS replaces the guesswork of a full search team with a system that runs on your own data and keeps judgement with you.

Decision engine Early access

A ranked plan, not another report.

Every issue is scored by likely impact and confidence, so the highest-leverage work rises to the top — and nothing changes without your sign-off.

  • Full-site technical and content diagnostics
  • Impact and confidence scores on every opportunity
  • Recommendation-only by design
Explore Search OS
Evidence layer First-party data

Grounded in your own data.

Crawl findings are joined with PageSpeed and Search Console signals from your own properties, on a schedule you can audit.

  • Scheduled crawls, audits and Search Console syncs
  • A transparent run history for every data source
  • Workspaces and roles for teams and clients
Request early access
Principles

How I build.

Four operating principles that govern every product decision and every release.

01

AI as leverage, not theatre

Models accelerate the work. Accountability for what reaches the customer stays with people — so every system ends in a human decision.

02

Evidence before release

Staging, independent QA and a signed-off build. Nothing ships on the strength of a demo.

03

Ownership before authority

Where the brief is incomplete, someone has to create order. I take that responsibility rather than wait for it.

04

Systems over heroics

If an outcome depends on one person holding every thread, the system is not finished. The goal is an organisation that performs without me in every loop.

Journey

From operator to builder.

A career shaped by owning outcomes — with the scope of that ownership widening at every stage.

  1. 01
    Foundation

    Accountable early

    Entered the workforce young and learned how businesses run by owning results, not tasks.

  2. 02
    Operations

    Leading delivery

    Ran teams, client portfolios, escalations and executive reporting across demanding delivery environments.

  3. 03
    May 2025

    The founder transition

    Stepped out of operations leadership to build full time and own the entire system end to end.

  4. 04
    2025 – 26

    Co-Founder & Managing Partner, PrimeVerse

    Growth and operating work across energy tech, AI security, food and hospitality.

  5. 05
    2026

    Search OS

    Took Search OS from concept to a working system, with staged environments, independent QA and signed-off releases.

  6. Now
    Today

    Scaling the system

    Hardening Search OS, extending it toward AI answer engines, and building an organisation that runs on systems rather than heroics.

Early access

Request early access

Search OS is onboarding in small cohorts, prioritised by fit. Every request is reviewed personally.

  • One email when your cohort opens
  • Direct line to the product team during onboarding
  • Your details are never shared

Investment, partnership or press? Connect on LinkedIn

Join the next cohort

Takes under a minute.

FAQ

Questions, answered.

Still curious? Reach out on LinkedIn.

Who is Upender Kodari?

Upender Kodari is a founder and AI product builder based in India. He is the creator of Search OS, a search-intelligence platform built to give lean teams the insight of a full search function — grounded in their own data.

He also serves as Co-Founder and Managing Partner of PrimeVerse Technologies.

What is Search OS?

Search OS is a search-intelligence platform. It crawls a website, unifies the findings with PageSpeed and Search Console data, and ranks remediation work by impact, so teams fix what moves results first. Visibility across AI answer engines is on the roadmap.

How does he approach building with AI?

AI is treated as leverage, not as a feature. Each system is designed around a complete user outcome, grounded in first-party data, and released only after staging and independent QA. When a model or data source is unavailable, the product says so plainly — it never fabricates output.

Is Search OS available today?

Search OS is in private early access. Onboarding runs in small cohorts, prioritised by fit and by the problem each team needs solved. Requesting access is the fastest way to be considered.

How can I connect about investment or partnerships?

LinkedIn is the most direct channel. Send a message there with context on what you have in mind.