Scraper: Autonomous Web Intelligence
Building AI that browses like a human analyst for enterprise data research
🎯 TL;DR - Key Takeaways
- • Day 1: AI browses like human analyst - discovers, reads, understands content autonomously
- • 89% accuracy in intelligent data extraction vs 45% traditional scraping baseline
- • Natural language input: 'Find all Romanian companies with 50+ employees in tech'
- • Free access with limits - no credit card required during experiment
- • Live testing at scraper.aisberg.ai - Scraper product launch August 2025
🏢 Business Context
The Problem
Traditional web scraping tools extract raw data without understanding. Businesses need AI that reads websites like human analysts - understanding context, making connections, and delivering insights.
Market Size
Enterprise data research market valued at $2.8B globally, with Romanian businesses spending 40+ hours weekly on manual data collection
Our Competitive Advantage
Our Artificial Mind approach understands context and intent, not just patterns. While competitors extract raw data, we synthesize intelligent insights ready for business decisions.
⚙️ Our Approach
Proprietary Artificial Mind data processing pipeline combining contextual understanding, semantic analysis, and intelligent synthesis. Our system doesn't just extract data - it understands meaning, relationships, and business context to deliver actionable insights.
Technology Stack
📊 Results & Metrics
Key Findings
Breakthrough discovery: Cultural context weighting dramatically improves AI understanding of Romanian business documents. Our system achieved human-level comprehension on complex enterprise scenarios.
Customer Validation
"Pilot customers report 70% time savings on research tasks. One client said: 'This is like having a team of expert analysts working 24/7'"
💼 Business Impact
Product Impact
Live product testing at scraper.aisberg.ai - free access during experiment phase. Scraper enables businesses to automate complex research workflows using natural language instructions.
Timeline to Market
Scraper product launch scheduled for August 2025, with enterprise sales starting September 2025
Revenue Potential
Estimated $500K ARR from first 50 enterprise clients, with 40% gross margins
Next Steps
Complete final validation phase, integrate with Scraper platform, launch enterprise pilot program with 10 Romanian companies
🏷️ Experiment Details
Experiment ID
SCPR-2025-001
Duration
July 1, 2025 → July 28, 2025
Status
activeResearch Team
- • Vladimir Iacob (Technical Lead)
- • David Iftime (Research Director)
Validation Method
10,000+ diverse web sources tested with human expert validation and real customer pilot programs
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