Automation for Business
Automation infrastructure for businesses that can't afford busywork.
Blacklore designs end-to-end automation — from data extraction and AI integrations to lead generation and live dashboards — so you spend less time on repetitive work and more time growing.
What We Do
How we remove the busywork.
Automate
Turn manual, repetitive work into automation that runs itself — from browser tasks to full multi-step workflows.
Learn more →Extract
Custom scrapers and data pipelines that pull structured data out of any website, at scale.
Learn more →AI & Integrations
AI-architected systems that connect your tools, APIs, and platforms — not one-off scripts.
Learn more →Research & Leads
Qualified leads and market intelligence, built from real research — not purchased lists.
Learn more →Dashboards & Data
The data you collect, made usable — clean, structured, and visible in a dashboard your team actually opens.
Learn more →Proven Results
Trusted to make the complex simple.
Example scenario
Order Processing Automation
A growing online retailer processing orders by hand across email, marketplace dashboards, and a spreadsheet. A typical build: one automated pipeline that pulls every order into a single system, triggers fulfillment, and updates inventory — turning a daily manual routine into something that just runs.
Discuss a project like this →Example scenario
Competitor Price Monitoring
An e-commerce brand needing to track pricing across dozens of competitor and supplier sites, updated daily. A typical build: a scheduled scraper feeding clean, structured pricing data straight into a spreadsheet or dashboard — no more checking sites one by one.
Discuss a project like this →Example scenario
AI-Assisted Support Triage
A support team drowning in inbound requests that need to be read, categorized, and routed by hand. A typical build: an AI layer that classifies incoming messages and routes them into the right Slack channel or ticketing queue automatically.
Discuss a project like this →Example scenario
B2B Lead List Building
A sales team spending hours a week manually researching and compiling prospect lists. A typical build: an automated research pipeline that finds, qualifies, and enriches leads against your ideal customer profile, delivered ready to work.
Discuss a project like this →Example scenario
Operations Dashboard
Leadership pulling numbers from five different tools before every weekly meeting. A typical build: one live dashboard pulling from every source automatically, so the numbers are already there when the meeting starts.
Discuss a project like this →Example scenario
Cloud-Hosted Reporting Pipeline
A business whose reporting depends on someone remembering to run a script and export a file every week. A typical build: the same pipeline, rebuilt to run itself on a schedule in the cloud — extraction, processing, and delivery, with nobody needing to remember anything.
Discuss a project like this →See It In Action
Talk it through before you commit to anything.
Ask Blacklore
We're manually pulling pricing data from about 40 supplier sites into a spreadsheet every week.
That's a good fit for a scheduled scraping pipeline — similar to what we've built for e-commerce clients. How often do you need it refreshed, and where should the data land?
Daily, straight into Google Sheets ideally.
Very doable. I'll flag this for the team — leave your email on the contact form and we'll follow up with next steps.
This is a real preview — the actual assistant is one click away, in the corner of your screen.
Let's talk about what's eating your time.
Tell us what you're looking to automate — we'll get back to you within 24 hours.
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