Structured Intelligence From Unstructured Data
Multi-source narrative tracking and sentiment intelligence. Delivered as signals or as tools for your AI agent.
Core Architecture
Every layer designed for signal quality, structured output, and automation.
Data Optimization Pipeline
Transforms noisy, high-volume input into clean quantitative signals. Optimized for signal-to-noise ratio and structured for downstream use.
AI-Native Evaluation Engine
Purpose-built around AI models that evaluate context, relevance, and sentiment. Not a wrapper on top of legacy tools, AI at every layer.
AI-Powered Signal Analysis
Real-time shift alerts on sentiment reversals and signal acceleration
Data sourced, processed, and scored continuously
Sentiment Analysis
Continuous sentiment scoring across multiple data sources. Every signal is quantified with polarity and confidence metrics, tracked over time to surface meaningful shifts.
Quantitative Signals
Momentum scoring, velocity tracking, and structured metrics for every signal. Numbers you can track over time and pipe into your own tools.
Plug Into Any Agent or Workflow
Full programmatic access via MCP and API. Query signals, sentiment, and topics from your own agent, pipeline, or application, all structured and scored.
Intelligence, on your terms.
Receive processed signals directly, or plug into your own stack via API.