From cold-list guesswork to 50 verified leads in 5 minutes
We built QualifyHQ a custom AI sales-prospecting platform that turns a single best-customer URL into a verified shortlist of lookalike companies and decision-makers ready for outbound.
Client
QualifyHQ
Industry
B2B Sales / Lead Generation
Timeline
3 months
What we built
AI sales-prospecting and lookalike-discovery platform
Built with
The Problem
B2B sales teams burn hours every week on manual prospect research, scraping LinkedIn, cross-checking company sites and stitching together lists from three different tools. The output is usually a spreadsheet full of vague matches and stale data that an SDR has to triage by hand.
Traditional lead-gen tools rely on broad keyword filters, so the results are noisy: companies that look right on paper but fail at the first call because the fit was never real. SDRs end up qualifying on the phone instead of qualifying before it.
And once the list is built, the contact data is the next problem. Unverified emails bounce, hurt domain reputation, kill deliverability and push response rates into the floor. Every bad address is a paid mistake that compounds across the whole campaign.
Our Approach
We rebuilt the prospecting workflow around four ideas that traditional lead-gen tools get wrong, each one chosen to maximise reply rate and minimise wasted SDR hours.
Seed the search with a real customer, not a keyword
Instead of asking sales teams to describe their ICP in fuzzy filters, we let them paste a URL of an existing best customer. The platform builds the lookalike pattern from a company that already converted, so the matches are grounded in real proof of fit.
Score every lead 1 to 5 with transparent reasoning
Every match gets a confidence score backed by 100+ checked data points and a written explanation of why it qualifies. SDRs know which leads to call first and why, instead of working a list top-down and hoping.
Verify emails before they touch the CRM, not after
Contact data is run through multiple email-verification providers in parallel with automatic fallback, so bounces and reputation damage are caught at list-build time rather than mid-campaign when the damage is already done.
Credit billing that refunds incomplete results
We built a transparent pay-per-use credit model where customers only pay for leads that finish processing successfully. If a search returns fewer matches than expected, the unused credits are refunded automatically.
What we built
A web app with three core engines: a lookalike discovery layer, a transparent AI qualification layer, and a verified contact pipeline that scales from a handful of leads to ten thousand in a single run.
Lookalike search with natural-language ICP filtering
Paste a customer URL and add qualitative criteria in plain English ("B2B SaaS, 50-500 employees, expanding internationally"). The platform returns hundreds of similar companies, each with reasoning for the match. AI-suggested search parameters help new users get started in under a minute.
AI lead qualification with 1-5 confidence scoring
Every candidate company is evaluated against the customer's custom criteria across 100+ data points and assigned a 1-5 confidence score with a written rationale. SDRs prioritise by score, not by gut, and reviewable proof means every lead is defensible internally.
Multi-source email verification and 10,000-lead bulk runs
Contact discovery and verification run through multiple providers with automatic fallback. Bulk lists of up to 10,000 companies process in parallel as background jobs, so large outbound campaigns finish in hours instead of days, with real-time progress tracking and clean CSV exports ready for any CRM.
The Outcome
Before
High bounce rates from unverified contact data
After
95%+
Email accuracy across multiple verification providers
Before
Generic outbound to broad keyword-matched lists
After
73% higher
Response rate from hyper-targeted lookalike outreach
Before
Hours of manual research per qualified shortlist
After
5 min
To find 50 perfect-fit companies. 10x the qualified leads of manual research.
Why this matters for you
If your team runs outbound or account-based marketing, the bottleneck is rarely sending more emails. It's sending the right ones to the right companies with contact data that actually lands. Better matches lift reply rates, verified emails protect deliverability, and SDR hours go back to selling instead of hunting.
- SDRs, AEs, or GTM leaders running outbound and tired of buying tools that promise enrichment but ship dirty data
- Any team where someone spends hours stitching LinkedIn, web scrapes, and contact tools to build a prospect list that should generate itself
- You've learned outbound stalls on match quality and deliverability, not volume. Sending more just burns the domain.
30-min free consultation with our founder. No strings attached.
Contact us
Tell us about your business. We'll come back with a rough scope, timeline, and price — within one business day.
Paulius Medekšas
Business Development Manager
Complete the form and we will provide you with a price and time estimate for development after the call free of charge.