AI that transforms millions of documents into actionable investment insights— 97% faster research with +500% analyst productivity.
97%
Faster Research
10K+
Data Sources
+500%
Analyst Productivity
Live Signals
NVIDIA
AI demand exceeding supply
Microsoft
Azure AI growing 3x YoY
Amazon
AWS optimization driving wins
The Challenge: Financial analysts at investment firms were spending up to 80% of their time manually searching earnings calls, SEC filings, analyst reports, and news articles for market signals. The sheer volume of documents—millions published every day—made it impossible to stay current across all relevant companies. Competitors who could surface critical insights faster gained decisive advantages that compounded over time.
The Solution: AGIX built a large-scale NLP analytics engine that ingests 10,000+ data sources in real time, including earnings call transcripts, SEC filings, broker research, news, and supply chain data. Custom financial language models extract signals, track sentiment changes over time, identify anomalies, and surface pattern matches that would take human analysts weeks to discover manually.
The Impact: Research time dropped 97%, allowing analysts to cover five times more companies with the same headcount. Clients reported +500% productivity gains across their research teams. Some funds attributed early position entries to AI-surfaced signals that became market-moving news an average of 18 hours later, creating measurable alpha generation directly tied to the platform.
Investment analysts were spending 80% of their time hunting for information buried in earnings transcripts, SEC filings, and research reports—leaving only 20% for actual analysis. Critical signals were being missed because no human could read 10,000+ documents fast enough. Competitor moves, management sentiment shifts, and market-moving insights were hiding in plain sight.
80%
Time spent finding info
10K+
Documents to review daily
47%
Critical signals missed
Real-time signal detection across 10,000+ sources with AI-powered sentiment scoring
Data Sources
Earnings Calls
50K+ documents
SEC Filings
2M+ documents
Research Reports
300K+ documents
News & Media
10M+ documents
AI infrastructure demand exceeding supply
Azure AI revenue growing 3x YoY
Margin compression concerns from pricing actions
iPhone demand stable but Vision Pro timeline uncertain
AWS cost optimization driving customer wins
Natural language queries across millions of documents in milliseconds
"AI infrastructure spending trends"
847 insights across 234 companies
"supply chain disruption risks"
1,234 mentions with sentiment analysis
"margin pressure semiconductor"
562 relevant documents flagged
"Before AlphaSense, our analysts spent 80% of their time finding information and 20% analyzing it. Now those ratios are flipped. The AI surfaces signals from earnings calls, filings, and research that would take humans weeks to discover—and it does it in seconds with context and sentiment scoring."
Sarah Richardson
Director of Research Intelligence, AlphaSense
Let's create research systems that give analysts superpowers.
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