It costs from $6,000, fixed price, and takes three to six weeks. That is our Data & Automation Engine. You get a system that does the daily checking your team does by hand. Every day it visits the sites you name (county records, public notices, listing pages), pulls out what's new, removes duplicates, adds contact details from a data provider you choose, and puts the finished leads into your CRM before anyone opens a laptop. If a site changes or a run fails, you get an alert. You own all of the code. Free quote within 24 hours.

What you get

  • Collection from the sites you check. Built to keep working on sites that make automated checking hard.
  • Clean records. Duplicates removed, fields tidied, contact details added from a data provider you choose.
  • Runs on a schedule, unattended. A daily summary of what came in, and an alert the same day if something breaks.
  • Delivered where you work. Into your CRM, a database or a dashboard.

What we built for a real-estate investment client

Foreclosure lead generation meant someone manually checking dozens of US county court and sheriff sites every single day. We replaced that with a daily pipeline: it collects new filings, removes duplicates, adds owner contact details through skip-trace services, and pushes qualified leads straight into the client's GoHighLevel CRM, with a daily summary and failure alerts. It runs unattended. Dozens of county sites are checked every day, by nobody, and the leads are in the CRM before the team starts work.

That build was for an investor. For a brokerage the sources are different, but the shape is the same: a list of places someone checks by hand, a set of rules for what counts as a lead, and a CRM it should land in.

Why not a subscription or a one-off scraper?

Lead follow-up AI is mostly sold as a monthly subscription that works inside one particular CRM, with usage charges on top. At the other end, a freelance scraper hands you a file and stops working when the site changes. This is neither: one fixed price, alerts when something breaks, it delivers into the CRM you already use, and the code is yours, so any engineer can maintain it.

For how these pipelines are built, see data pipeline services. For when a no-code tool is enough instead, read n8n vs custom code. You can estimate what the manual work costs you now with the cost calculator.

Frequently asked questions

How long does it take?

An automated data pipeline takes three to six weeks, with the scope and price agreed before work starts.

What does it cost?

From $6,000, fixed price, agreed before work starts. No hourly billing and no surprise invoices.

Who owns the code?

You do. 100% of the source and IP transfers on delivery, with clean repositories, documentation and a deployment runbook. No license, no lock-in, and no dependency on us to keep it running.

Will I work with the person actually building it?

Yes. Kortex Labs is founder-led by Saif Ur Rehman, a senior Python engineer with 5+ years building AI products. There are no juniors learning on your budget and no account-manager layer between you and the engineering.

What technologies do you use?

Python, FastAPI, Django/DRF, NestJS and Celery on the backend. PostgreSQL, Redis, Kafka and OpenSearch for data. Playwright for scraping. OpenAI, Claude and Gemini for language models. Deployed on AWS or GCP with Docker.

How quickly can I get a quote?

A free strategy call, then a fixed-scope quote within 24 hours. Build slots usually open within one to two weeks.