Transform fragmented videos, PDFs, and databases into unified market intelligence with AI-powered analysis. End the "swivel-chair" methodology forever.
AI-Driven ICP Monitoring Landscape
Summit panels and KOL interviews processed
37 countries market data integrated
12 companies found, 3 emerging innovators
Synthesizing insights across all sources
Market intelligence is trapped in silos. Your competitive edge is scattered across videos, documents, and databases that don't talk to each other.
Summit panels, KOL interviews, and CEO discussions at LSI USA, LSI Europe events contain critical insights that vanish after viewing.
Clinical trials, regulatory filings, and market reports with complex tables and figures resist simple text extraction.
Procedure volumes, company profiles, and deal logs locked in Snowflake/Postgres databases, disconnected from qualitative context.
Analysts today spin between 10+ applications to answer a single question. They watch hours of video, manually extract PDF tables, write SQL queries, then attempt to synthesize insights in a spreadsheet.
One platform that ingests all your data modalities, extracts meaning, and connects the dots automatically.
Know who said what, when
Extract entities, claims, and relationships
Link slides and visuals to speech
Not line-by-line OCR - understands tables, figures, and structure
Extract any field without training
Map database schemas to knowledge graph concepts
Query databases in plain English
Combining the power of deep learning with the rigor of symbolic reasoning to eliminate hallucination and ambiguity.
Pure neural approaches confuse "Medtronic" the company with "Medtronic" the procedure code. They hallucinate relationships that don't exist. They can't explain their reasoning.
Deep learning embeddings capture semantic context - understanding that "ICP monitoring" and "intracranial pressure sensor" refer to the same concept.
Logic rules validate and constrain - ensuring "Medtronic acquired Company X" only appears if supported by structured deal data.
How Life Science Intelligence transformed their data moat into an AI-powered competitive advantage.
Thousands of hours from LSI USA & Europe events
Procedure volumes across 37 countries
Deep profiles on emerging startups
Competitive Intelligence Analysis
"Show me competitive landscape for AI-driven intracranial pressure monitoring"
Found in ICP monitoring space
Using advanced approaches
From summit videos and panels
Market size projection & regulatory pathway included
From raw data to actionable intelligence in four stages.
| Stage | Process | Description | Output |
|---|---|---|---|
|
1
Data Ingestion
|
Take in all data | Videos, PDFs, databases, APIs - unified ingestion layer | Raw Data Lake |
|
2
Processing
|
Extract meaning | Transcription, entity extraction, relationship mapping | Structured Entities |
|
3
Insight Generation
|
Connect the dots | Neuro-symbolic reasoning across all data sources | Knowledge Graph |
|
4
Agentic Action
|
Do something | AI agents execute queries, generate reports, trigger alerts | Actionable Intelligence |
Stop spinning between applications. See how Quome can unify your videos, documents, and databases into a single source of market intelligence.
Enterprise pricing available. Contact us for custom integrations with your existing data infrastructure.