A living knowledge graph that maps emerging technologies, their convergences, and predictive trends. Discover hidden connections, track milestones, and spot opportunities before they hit mainstream news.
Unlike LLMs that describe connections, our graph systematically traverses them with graph-based queries revealing hidden relationships.
Track milestones over time natively, building evidence-based timelines that LLMs struggle with through exhaustive prompting.
Link trends to capabilities and milestones to simulate futures better than LLM guesswork, informing strategic decisions.
Ingest major news into nodes and edges, building a living artifact that creates compounding value over time. Track how trends predict capability advancements for investment insights.
Perform similarity searches across convergences, capabilities, and ideas. Uncover non-obvious links that LLMs miss without perfect prompting.
Focus on how technologies enable capabilities and make things abundant. Quantify how milestones unlock applications for R&D guidance.
Why better than LLMs? While LLMs might list examples, our graph traverses precise paths with evidence-based timelines, including vendor specifics like Boston Dynamics' latest milestones.
MATCH (ai:EmTech {name: 'artificial intelligence'})-[:ENABLES]->(cap:Capability)-[:HAS_MILESTONE]->(m:Milestone) WHERE m.date > '2024-01-01'
Value: Discover how quantum computing accelerates battery simulations through convergence analysis that LLMs would only speculate about.
Advantage: Curated, milestone-specific unlocks rather than broad use cases, with measures for progress tracking.
Professional Value: Predict IBM or Google's milestones by 2027, spot investment trends through stakeholder analysis.
Consulting Insight: Reveal trends like autonomous drone swarms for smart cities with detailed explanations.
Strategic Analysis: Exhaustive, linked chains of party-product-capability relationships that LLMs can't systematically map.
Join researchers, analysts, and strategists who need to "explore" rather than just "ask"