Deep curiosity,
guided by
Our work brings focus to the future of stock markets.
Al Vinjamur
CEO
Many sources of data and one truth
Our mission is to make markets legible. Provide an objective inference layer derived from first principles that captures what’s happening now, why it matters with a measurement; delivered in plain English and in machine-ready form.
Total situational awareness
• Auction dynamics & microstructure (price, liquidity, flow)
• High-resolution market feeds
• News (relevance-scored, deduplicated)
• Social media (entity-linked, sentiment-scored)
• SEC filings (parsed, section-aware)
• Blog posts & research (topic-mapped)
• Alternative data (where signal beats novelty)
Built for interoperability
• Delivery Streaming (WebSocket/Kafka) and scheduled batch
• Formats: JSONL and columnar (Parquet/Arrow)
• Join keys Symbol, venue, timestamp, and canonical entity IDs
• Metadata Source links, confidence scores, versions, and latency markers
• Compatibility Friendly with notebooks, feature stores, and vector/RAG pipelines
Who it’s for
• Traders & PMs Faster, clearer decision context
• Quants & ML teams A clean, fused dataset for models and research
• Platforms & fintechs A drop-in intelligence layer for your product for downstream use by your client base
• News & media Objective market narration backed by traceable data
• AI agents & copilots Low-latency signals with citations and confidence
How it works
Ingest
multi-source signals at high resolution
Align
by time, entity, and event; de-dupe and quality-check
Infer
structure, intent, and context with internal domain-aware models and proprietary technologies
Express
as multimodal insights for humans and as structured data for consumption by machines


