Manual data collection from multiple sources wastes hours of team time daily
Competitor moves and market changes happen while you sleep
Scaling research operations requires hiring expensive analysts
Web scraping breaks constantly due to site changes and anti-bot measures
Fayora develops intelligent AI agents that autonomously gather data, monitor websites, execute multi-step workflows, and adapt to changing environments. Unlike brittle scripts, our agents use computer vision and LLMs to navigate sites like a human, handle CAPTCHAs, and extract structured insights even when layouts change.
Agents use computer vision and DOM analysis to navigate sites, fill forms, and extract data even when HTML structures change.
Collect and normalize data from dozens of sources simultaneously, creating unified datasets for analysis.
Continuous surveillance of competitors, pricing, news, and market signals with instant alerts on key changes.
Chain complex multi-step workflows across tools and platforms, with error handling and retry logic built in.
Our proven methodology ensures successful delivery and adoption
Map out data sources, extraction rules, and desired outputs with stakeholder input.
Design agent logic, error handling, and anti-detection strategies tailored to target sites.
Develop agents with robust selectors, implement monitoring dashboards, and stress-test reliability.
Launch agents in production with alerting, logging, and automatic failure recovery.
Continuous updates to handle site changes, add new sources, and optimize performance.
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Outcome
Maintained pricing competitiveness 24/7
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Outcome
3-hour advantage on market-moving news
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Outcome
10x more leads with same team size
Built on enterprise-grade technologies for reliability and scalability
We analyze your needs and define clear objectives
Create detailed solution architecture and roadmap
Develop and test in agile sprints with your feedback
Launch with training and ongoing optimization