ForeSight
Probabilistic forecasting for the messy, real-world timeline
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What is ForeSight?
ForeSight is a time-series engine that treats missing values, sensor drop-outs and sudden regime shifts as first-class citizens instead of edge-cases. Built on the RxInfer factor-graph runtime, it streams distributions rather than single-point predictions, so planners see the full range of what may happen and how confidence evolves minute by minute.
Unlike traditional forecasting tools that break down when data is incomplete, ForeSight thrives in uncertainty. Our RxInfer-powered engine uses message-passing inference to provide continuous probabilistic forecasts for real-world complexity.
What makes it different
Uncertainty by design
Every forecast carries calibrated quantiles and credible bands that widen or tighten automatically as new evidence arrives.
Gap-tolerant models
Message-passing inference fills data voids on the fly; back-filling or retraining isn't required.
Continual adaptation
Online variational updates digest each fresh observation in milliseconds, keeping models in sync with reality.
How It Works
Connect Your Data
Stream data from any source - databases, APIs, files, or real-time feeds. ForeSight handles missing values, irregular timestamps, and sudden regime changes automatically.
Factor-Graph Analysis
RxInfer's message-passing algorithms build probabilistic models that capture uncertainty, seasonality, and complex dependencies in your time series data.
Stream Distributions
Receive continuous probabilistic forecasts with calibrated uncertainty bands that update in real-time as new data arrives.
The Science Behind ForeSight
ForeSight leverages RxInfer's advanced factor-graph runtime for probabilistic time-series modeling. The engine employs online variational Bayes to continuously update model parameters as new observations arrive, providing full probability distributions that quantify forecast uncertainty at every time step.
How teams use it
Because the engine digests streaming tables, files, or API payloads the same way, data simply flows in and probabilistic forecasts flow out—no format wars, no rigid pipelines.
Supply-chain planners
size safety stock from the P90/P10 bands
Energy traders
feed distribution tails into bidding algorithms
Ops engineers
set anomaly guards that respect natural seasonality instead of tripping on noise
Point forecasts are fragile when information is partial. ForeSight turns that partial picture into a live probability view, letting businesses budget, hedge and allocate with clarity about both expectation and risk—without pretending their data is perfect.
Use Cases
Financial Markets
Navigate volatile financial markets with probabilistic forecasting that quantifies risk and captures uncertainty in asset prices and market movements.
High-frequency trading with uncertainty-aware risk models
Portfolio optimization under regime uncertainty
Credit risk forecasting with missing transaction data
Market volatility prediction with confidence intervals
Energy Demand Forecasting
Optimize energy production and distribution with probabilistic demand forecasting that handles weather variability and consumption patterns.
Smart grid load balancing with uncertainty quantification
Renewable energy output prediction with weather gaps
Peak demand forecasting for capacity planning
Energy storage optimization under demand uncertainty
Load Prediction
Predict system loads and resource utilization with probabilistic models that adapt to changing usage patterns and infrastructure changes.
Data center resource allocation with workload uncertainty
Network traffic prediction with capacity planning
Infrastructure scaling decisions under variable demand
Performance degradation prediction with confidence bands
Cybersecurity
Detect threats and anomalies with probabilistic models that distinguish between normal variance and genuine security incidents.
Threat detection with adaptive baseline modeling
Network intrusion prediction with uncertainty bounds
Anomaly detection that reduces false positives
Security incident forecasting for resource planning
Ready to Transform Your Forecasting?
Join the companies using ForeSight to make uncertainty-aware decisions with probabilistic forecasting that handles real-world complexity.
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