Live Research #SCPR-2025-001

Scraper: Autonomous Web Intelligence

Building AI that browses like a human analyst for enterprise data research

Scraper: Autonomous Web Intelligence

Overview

  • 1 Day 1: AI browses like human analyst - discovers, reads, understands content autonomously
  • 2 89% accuracy in intelligent data extraction vs 45% traditional scraping baseline
  • 3 Natural language input: 'Find all Romanian companies with 50+ employees in tech'
  • 4 Free access with limits - no credit card required during experiment
  • 5 Live testing at scraper.aisberg.ai - Scraper product launch August 2025
Experiment ID
SCPR-2025-001

The Problem We're Solving

Current Challenge

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 Impact

Enterprise data research market valued at $2.8B globally, with Romanian businesses spending 40+ hours weekly on manual data collection

Our 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 Methodology

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Proprietary Technology - Core implementation details remain confidential

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

Python Astro Machine Learning Natural Language Processing Real-time Processing

Results & Performance

Baseline
45% accuracy, 3.2s processing
Optimized
89% accuracy, 0.6s processing
97% improvement in accuracy, 81% faster processing

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

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Pilot customers report 70% time savings on research tasks. One client said: 'This is like having a team of expert analysts working 24/7'

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Market 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

Team & Validation

Research Team
Technical Lead
Research Director
2x Software Engineers

What's Next

Next Steps

Complete final validation phase, integrate with Scraper platform, launch enterprise pilot program with 10 Romanian companies

Validation Method

10,000+ diverse web sources tested with human expert validation and real customer pilot programs

Experiment Duration
July 26, 2025 → July 30, 2025
ACTIVE

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