Kirby (by Kadoa)
The autonomous AI web agent for reliable, structured data extraction at scale.
Precision-Engineered Market Intelligence via Autonomous LLM Orchestration
MarketInsight AI represents the 2026 pinnacle of autonomous market research, utilizing a tri-layered LLM architecture that combines high-fidelity web-scraping agents with RAG-enhanced synthesis. Unlike traditional static reporting tools, MarketInsight AI operates on a real-time data stream, processing over 100 million signals daily from news outlets, social media, regulatory filings, and patent databases. Its technical core leverages a proprietary 'Trend-Vector' engine that maps semantic shifts in consumer behavior before they manifest in sales data, allowing organizations to pivot strategies with a 3-6 month lead time. The platform's 2026 market positioning is centered on the 'Decision Intelligence' tier, moving beyond visualization into prescriptive guidance. It integrates seamlessly with enterprise ERPs and CRMs to correlate external market volatility with internal performance metrics. With built-in bias detection and source-verification protocols, it solves the hallucination problem inherent in standard generative AI by grounding every insight in verifiable primary sources and peer-reviewed secondary data.
Uses temporal analysis to predict when current market trends will plateau or reverse.
The autonomous AI web agent for reliable, structured data extraction at scale.
Turn fragmented consumer data into structured knowledge graphs for hyper-accurate market simulation.
Real-time B2B intelligence and data integrity engine for precision-guided account-based growth.
The Next Move Is Yours: Luxury Real Estate Powered by Proprietary Intelligence.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Runs three different LLM architectures (GPT-5, Claude 4, and Llama 4 equivalents) to verify findings.
Ingests global legislative updates to simulate potential business risks.
Maps relationships between disparate mentions across Reddit, LinkedIn, and SEC filings.
Unsupervised learning clusters for millions of customer reviews into actionable product features.
Statistical variance detection on market volume and sentiment velocity.
Dynamically generates SWOT analysis updated every 24 hours based on competitor moves.
Manual tracking of competitor product launches and pricing changes is slow and error-prone.
Registry Updated:2/7/2026
Negative sentiment spikes on niche forums can be missed before they go viral.
Finding niche startups with high growth potential in specific sectors.