The Intelligence Layer
for Autonomous Finance
Factor delivers structured, causal reasoning to AI agents and financial systems — turning raw market data into actionable intelligence your models can trust.
Financial AI Has an Intelligence Gap
AI models can read market data. They cannot reason about what it means. The result: hallucinated insights, missed connections, and fragmented workflows.
Data Without Reasoning
Bloomberg and Refinitiv sell data firehoses. Analysts still spend 6+ hours manually tracing second-order effects through earnings calls and filings.
Correlations, Not Causation
Most AI tools detect events in isolation. They can't model causal chains — like how a CEO resignation cascades through supply contracts to sector repricing.
Fragmented Toolchains
Teams stitch together 5+ vendors for data, analytics, and signals. Each vendor sells a slice. None delivers complete, structured intelligence.
Intelligence Infrastructure
Built for Autonomous Financial Systems
Every layer serves a specific purpose — from proprietary data assets to interpretable causal reasoning to extensible agent orchestration.
Temporal Knowledge Graph
3,000+ equities, supply chains, executives, and macro indicators connected in a time-aware graph with 2M+ nodes. Entity relationships evolve as markets move.
Causal AI Engine
Go beyond correlation. Our DoWhy-based causal models discover what actually drives markets — outperforming VAR baselines by 23% on directional accuracy.
Real-Time Signal Detection
Earnings releases, macro shifts, volatility events — detected and enriched with causal context as they happen. Sub-40ms extraction latency.
Multi-Agent Orchestration
Autonomous agents that monitor feeds, run causal simulations, and generate trade signals — coordinated through LangGraph workflows with persistent memory.
Structured Output API
JSON-first signals with confidence scores, causal drivers, and suggested actions. Built for programmatic consumption by any AI agent or trading system.
Validated by Real P&L
We trade our own signals. 60% win rate on live options trades around earnings. Our prediction-outcome flywheel means the system improves with every trade.
From Raw Data to Actionable Intelligence
A four-stage pipeline that transforms market noise into structured, causal signals your AI systems can act on programmatically.
Ingest
Real-time market data, earnings transcripts, SEC filings, macro indicators, and news feeds are continuously ingested from Polygon.io, FRED API, and proprietary sources.
Structure
Raw data is transformed into a temporal knowledge graph — entities, relationships, events, and causal links organized as 2M+ nodes with time-aware edges.
Reason
Causal AI models analyze the graph to surface non-obvious second-order effects, risk signals, and trade logic — not just what happened, but why and what comes next.
Act
Structured, confidence-scored signals are delivered via API — complete with causal drivers, suggested actions, and second-order effects any system can consume.
We Trade Our Own Signals
Unlike platforms that sell untested analytics, we validate every signal through live trading. Our prediction-outcome flywheel means the system improves with real P&L feedback.
Built for Financial Professionals
From quantitative hedge funds to fintech platforms, Factor powers the next generation of intelligent financial systems.
Quantitative Hedge Funds
Enhance alpha generation with causal signals
Replace fragmented data vendor stacks with a single intelligence API. Our causal signals surface non-obvious second-order effects that correlation-based models miss — giving your trading systems an interpretable, defensible edge.
Key Benefits
Intelligence at Scale
Consumption-based pricing that scales with your usage. Replace fragmented vendor stacks with a single, unified intelligence API.
Growth
Core intelligence API access for emerging funds and fintech startups.
- Full Knowledge Graph API access
- Real-time signal detection
- 1M API calls per month
- Standard causal models
- JSON & webhook delivery
- Email support
Professional
Complete platform access with advanced models for established trading desks.
- Everything in Growth
- Advanced causal inference models
- 5M API calls per month
- Custom entity graph extensions
- Multi-agent workflow access
- Dedicated account manager
- Priority support & SLA
Enterprise
Dedicated infrastructure and bespoke models for institutional clients.
- Everything in Professional
- Unlimited API calls
- Custom model training
- Private knowledge graph instance
- On-premise deployment option
- Compliance & audit tooling
- 24/7 dedicated support
- Custom data source integration
The Future of Financial Intelligence is Causal
Join the next generation of financial institutions building autonomous systems powered by structured, interpretable market reasoning.
Ready to Transform Your Market Intelligence?
Whether you're a hedge fund looking for an edge, a PE firm streamlining due diligence, or a fintech embedding intelligence — we'd love to show you what Factor can do.