Case Study · AI & Machine Learning
AI-Powered B2B Lead Intelligence & Business Audit SaaS
Designed and engineered a full-stack, enterprise-grade AI lead intelligence platform that replaces manual prospecting with autonomous data harvesting and deep technical auditing. The platform crawls multi-page business websites, fingerprints 100+ technology signatures, audits technical SEO and security headers, and feeds structured site data into an LLM reasoning engine. The system automatically surfaces sales opportunities, competitor weaknesses, and personalized cold outreach hooks to deliver sales-qualified pipeline data in minutes.
The challenge
Modern outbound sales and digital agency teams spend up to 70% of their prospecting time manually qualifying businesses, hunting for decision-maker contact details, and running disjointed audits across SEO, SSL security, and web frameworks. Most third-party scrapers deliver stale, unverified spreadsheets with no actionable context or cold email angles. The objective was to architect a production-ready, autonomous SaaS platform that not only discovers verified businesses at scale across geographical radii and niche categories, but also executes real-time, multi-page technical audits and synthesizes instant, high-converting sales intelligence.
Our solution
Glovax Technologies architected an end-to-end distributed system powered by asynchronous crawlers, heuristic signature matching, and large language model reasoning pipelines: Multi-Source Discovery Engine: Integrated high-throughput discovery APIs and directory endpoints (OpenStreetMap, Wikidata, Yellow Pages, and Google Places) with strict pre-qualification filters for contact completeness, geo-radius boundaries, and domain verification. Deep Headless Crawler & Auditing Pipeline: Built an asynchronous headless scraping service capable of traversing 20+ pages per domain in seconds. The pipeline audits technical SEO health, indexes 404 broken links, validates SSL/TLS certificate chains, verifies security headers (HSTS, CSP), and checks CMS/framework signatures across a database of 100+ technology fingerprints. Autonomous AI Opportunity Engine: Implemented an LLM reasoning layer that parses crawled telemetry and technical vulnerabilities into structured JSON intelligence. The model outputs tailored sales angles, digital marketing gap reports, and custom objection-handling playbooks for sales reps. Modern Command-Driven UI: Engineered a reactive, dark-mode dashboard with global natural language search, command palette integration (Cmd+K), real-time crawl logs, and automated operational cost tracking per campaign.
Development process
How we shipped it
Requirements Engineering & System Architecture Specification
Data Pipeline & Distributed Multi-Provider Scraping Design
Tech Fingerprinting, Security & SEO Audit Rule Engine Build
LLM Reasoning & Structured Opportunity Extraction Integration
Full-Stack Next.js Dashboard & Dark Mode UI Development
Stress Testing, Proxy Rotation, Cost Optimization & Handover
Technology & Services
Stack & Capabilities
Outcomes & Metrics
Measurable Impact Delivered
99.9% Platform Uptime Delivered
10x Faster Prospect Research Speed
100+ Tech Signatures & Vulnerabilities Detected
99.9% Pipeline Uptime & Zero Crawl Bottlenecks
85% Lead-to-Opportunity Qualification Rate
Interface Gallery
Screenshots & Walkthrough
"Glovax Technologies turned our complex lead qualification concept into a lightning-fast, production-ready SaaS. The depth of the automated technical audit and instant AI-generated sales hooks gives our team an unfair competitive edge."
Marcus Vance
Head of Revenue Operations, Apex Growth Partners
More work
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