We automate repetitive web, data, QA, and operations workflows for startups,
agencies, and growing teams.
Korvol builds browser automation systems, scraping pipelines, AI-assisted
workflows, internal tools, and QA automation so your team can stop doing
manual work and focus on growth.
Your team logs into portals every day to copy data, check statuses, download
reports, update spreadsheets, or move information between systems.
Your QA checks are manual, repetitive, and easy to miss.
Your sales or operations team spends hours collecting leads, preparing
reports, or cleaning messy data.
You know this work should be automated, but you do not want another fragile
script that breaks silently after two weeks.
Korvol builds reliable automation systems for real business workflows — with
retries, monitoring, error handling, and maintainable architecture.
How we help teams automate work
Three ways we show up.
You have repetitive web work that should not be manual.
Your team logs into websites, portals, CRMs, dashboards, or admin panels
to move data, check statuses, download files, or update records.
We build browser automation systems using tools like Playwright and
Puppeteer to make those workflows repeatable, monitored, and easier to
maintain.
You need reliable data extraction or lead generation.
You need structured data from websites, directories, marketplaces, public
sources, or internal systems — but manual collection is slow and
inconsistent.
We build scraping and data pipelines that collect, clean, normalize, and
deliver data where your team needs it.
You want AI-assisted operations, not AI hype.
You have workflows involving emails, documents, reports, CRM updates,
lead research, support tasks, or internal decisions.
We combine automation, APIs, AI models, and internal tools to reduce
manual work without forcing AI into places where it does not belong.
What we've built
Automation-heavy systems across the stack.
We specialize in automation-heavy systems: browser workflows, scraping
pipelines, lead generation, AI-assisted operations, QA automation, internal
tools, and production-grade web applications.
150+ platforms scraped and automated across
8+ years of production work.
Browser automation
Portal workflows, file downloads, status checks, repeatable operations.
A free 30-minute call where you tell us what your team is doing manually, what tools are involved, and what breaks or wastes time. We'll tell you honestly whether automation makes sense.
02
We assess.
For most engagements, we start with a focused automation audit or technical assessment. We identify what can be automated, what should not be automated yet, the likely complexity, and the recommended approach.
03
We build and support.
If there is a fit, we build the automation system, connect it to your workflow, add logs and error handling, and support it as your tools and websites change.
Pricing
Engagement options
Clear starting points so you know what kind of investment to expect before
the first call.
Automation Audit
For teams that want to identify what can be automated.
Starting at $300
(one-time)
30-45 minute workflow review
Automation opportunity map
Technical feasibility assessment
Recommended approach and next steps
If you continue with implementation, the Automation Audit fee can be adjusted against the project
Automation MVP
For teams ready to turn one manual workflow into a reliable automation.
Starting at $1,500
(one-time)
One manual browser, data, QA, or reporting workflow automated end-to-end
Playwright/Puppeteer-based implementation where needed
Retries, logs, and basic monitoring
Handoff documentation
Clear next-step recommendations
Automation Partner
For teams that need ongoing automation support.
Starting at $2,500/month
Ongoing automation development and maintenance
Workflow improvements
Monitoring and failure handling
Internal tools and dashboards
Weekly sync
Priority support for automation issues
Every workflow is different. These are starting points, not fixed packages.
After the first call, we'll recommend the simplest engagement that fits your
situation.
Need broader technical ownership? We also support automation-heavy startups
as a fractional technical partner covering architecture, roadmap, code
quality, automation strategy, vendor decisions, and hands-on development
when needed.
Real examples of browser automation, scraping infrastructure, AI-assisted
workflows, lead generation, and full-stack product builds.
01Live · 3 years+
Production Scraping Infrastructure for a US Proptech Company
29mortgage platforms · self-healing · years in production
The problem
A US-based proptech startup needed loan data from 29 different mortgage platforms — each with its own login, anti-bot defenses, and UI changes. Existing scrapers broke constantly.
What we built
Production-grade scraping infrastructure with automated error detection, retry logic, and self-healing capabilities. Designed the LOS integration pipeline that feeds these sources into the company's core workflow, plus a published Chrome extension for daily ops.
The outcome
Ran reliably in production for years. When scrapers broke, the infrastructure caught errors and either fixed them automatically or flagged them before anyone noticed. The company's data pipeline became one of its most dependable assets.
02Production-validated
Self-Healing Automation Framework
24/24error scenarios covered · first AI-authored PRs on GitHub
The problem
Scrapers break — all the time. A layout changes, a button moves, a new CAPTCHA appears, and the whole pipeline goes down. Fixing each break manually is expensive and slow.
What we built
An AI-powered framework that detects failures, classifies the error type, and either fixes it automatically or generates a pull request for human review. Two-tier classification — fast pre-filtering at the client, deeper AI analysis at the service — keeps cost and latency low.
The outcome
Full coverage across the validated error matrix. Hours of debugging compressed to minutes. The framework ships real AI-authored pull requests against production scrapers.
03Co-Founded · Full lifecycle
Yourders — Daman's First Online Grocery Delivery Platform
Daman had no online grocery delivery service. Residents had no way to order groceries online, and no local platform existed to fill the gap. There were no standard APIs for product data or pricing — everything was fragmented across dozens of supplier and retailer websites.
What we built
An end-to-end grocery delivery platform from scratch. Node.js/TypeScript scrapers pulled product data and pricing from 50+ suppliers and retailers daily, with automated pipelines cleaning and syncing everything into a Shopify storefront via custom apps. A continuous DMart price monitor powered a cross-sell model — batched customer orders, real-time pricing, same-day delivery — backed by a custom Shopify delivery app for staff to mark orders delivered, rejected, or missed with live sync.
The outcome
Launched Daman's first online grocery delivery platform. Owned the full lifecycle as CTO — sourcing and pricing infrastructure, storefront, order management, delivery logistics, and customer operations — with every technical and operational decision made from day one.
04Shipped · paying users
CodeTeleport — Developer Tool, Idea to Launch
7 daysideation to shipping · built end-to-end
The problem
Developers working with AI coding assistants lose session context when switching machines. There was no simple way to bundle a working session and continue it elsewhere.
What we built
CodeTeleport — an MCP server and CLI that bundles AI coding sessions and teleports them between machines via Cloudflare R2, Turso, and Hono. Built the full stack: npm package, Next.js dashboard on Vercel, Polar billing, and the launch campaign across Reddit, X, and GitHub.
The outcome
Live product, live users, live revenue. One person — from concept to paying customers — owning the full product lifecycle.
05Runs daily · hands-off
Automated Lead Generation Across 150+ Platforms
150+platforms scraped daily · CRM-ready output · zero human input
The problem
A sales team spent hours every day manually searching websites and directories for prospects. Slow, inconsistent, unscalable — and wrong work for salespeople.
What we built
An automated pipeline that scrapes 150+ sources in parallel, handles varying site structures and anti-bot protections, and normalizes everything into structured, CRM-ready lead lists.
The outcome
What took a week of manual work now runs automatically. A steady stream of qualified leads lands in the CRM without human intervention — the team focuses on outreach and closing.
Who's behind Korvol
An automation partner, not just a vendor.
Korvol is led by Nawaaz Kortiwala, an
automation solutions architect with 8+ years of experience in browser
automation, scraping infrastructure, full-stack development, and production
systems.
Nawaaz has worked with US-based startups, built automation systems across
mortgage platforms and web portals, launched developer tools, built Chrome
extensions, and owned products from idea to production.
Korvol exists to help teams eliminate repetitive manual work through reliable
automation — not fragile scripts, not vague AI experiments, but practical
systems that save time, reduce errors, and support real operations.
Korvol Technologies Pvt. Ltd. is a DPIIT-recognized startup based in India,
working with clients worldwide.
Let's talk
Let's talk about what your team is still doing manually.
Whether it is browser work, data collection, QA checks, reports, lead
research, or internal operations, we can help you identify what is worth
automating and what should stay manual for now.