Forecast intelligence for insurance portfolios.
Purpose-built for insurance investment teams, ALM, and actuarial workflows. Multi-asset forecasts with confidence grading, regime awareness, and transparent methodology — designed for regulated environments.
What Is Cognostrix?
AI-Powered Forecasting Intelligence,
Delivered as a Service
Platform
cognostrix.com
Cognostrix is a production-grade AI platform that transforms proprietary and external data into validated forecasts, risk signals, and decision intelligence — using the same walk-forward validated ensemble methodology trusted in quantitative finance, now applied to insurance risk pricing, loss ratio forecasting, and beyond.
Who It's For
Insurance & Reinsurance
Actuarial risk intelligence
Financial Services
Asset managers, funds & traders
Enterprise
Any industry with time-series data
Technology Partners
White-label API & embedded
What You Get
Insurance
First Vertical
Any KPI
Domain Agnostic
Insurance
AI-Powered Risk Intelligence for Insurers
Your actuaries spend months identifying risk factors and building models. Cognostrix's ensemble forecasting engine can process the same inputs in hours — identifying hidden patterns, validating on out-of-sample data, and delivering continuously updated risk signals your teams can trust.
Loss Ratio Forecasting
Predict future loss ratios across lines of business using ensemble AI models trained on your historical claims data and external risk factors.
Dynamic Risk Pricing
Move beyond static actuarial tables. Continuously updated pricing signals that reflect current market, weather, and macroeconomic conditions.
Reserve Estimation
Forecast IBNR and case reserve development with rigorous walk-forward validation — the same discipline used in quantitative finance.
Catastrophe Risk Modelling
Layer ensemble intelligence over your cat models for better tail-risk estimation and portfolio-level diversification insights.
The Challenge
Traditional Actuarial Modelling Is Under Pressure
The insurance industry faces a widening gap between the speed at which risk factors change and the speed at which traditional models can adapt.
Months to Deploy
Building and validating a new actuarial model takes 3–12 months. By the time it's in production, the risk landscape has shifted.
Hidden Factor Discovery
Actuaries know the obvious drivers — but AI ensembles surface non-linear interactions and leading indicators that manual analysis misses.
Model Fragility
Single-model approaches are fragile. When assumptions break (COVID, climate events, inflation spikes), losses spike before models can be recalibrated.
3–12 mo
Typical Model Build Cycle
60–80%
Analyst Time on Data Prep
Low
Correlation Discovery
Hidden risk factors missed
Request a pilot for your team
See Cognostrix in your investment workflow. Dedicated onboarding.
Critical Insight
Why Most AI Risk Models Fail in Insurance
AI in insurance is booming — but most implementations fail in production for the same structural reasons that plague financial AI.
Overfitting
Models memorise historical loss patterns instead of learning generalizable risk factors
Regime Blindness
Single-model approaches break when climate, regulation, or economic conditions shift
Data Leakage
Future claims information inadvertently leaks into training features
Static Validation
One-time train/test splits miss how well models predict genuinely unseen periods
No Uncertainty
Point estimates without confidence bands give actuaries false precision
Cognostrix Design Philosophy
Walk-forward validation · Ensemble robustness · Calibrated confidence · Driver transparency
Use Cases
Where Cognostrix Fits in Insurance
Our platform doesn't replace your actuarial team — it supercharges them. Feed in your risk factors, and get ensemble-validated forecasts that would take months to build manually.
Loss Ratio Prediction
Input: historical loss ratios, claims frequency, severity, inflation, weather. Output: forward-looking loss ratio forecasts with confidence bands across 1, 3, 6, 12-month horizons.
Premium Pricing Signals
Input: risk factor time series (e.g., vehicle theft rates, flood indices, interest rates). Output: directional pricing signals — when to tighten or soften rates by line of business.
Reserve Adequacy
Input: claims development triangles, payment patterns, economic indicators. Output: IBNR forecasts with walk-forward validated accuracy metrics and driver attribution.
Catastrophe Exposure
Input: historical cat event data, reinsurance pricing, geographic concentration. Output: tail-risk signals and portfolio-level exposure alerts.
Investment Portfolio Risk
Input: asset portfolio holdings, market data. Output: asset-level forecasts to optimize insurance investment portfolio returns against liability matching.
Claims Trend Detection
Input: claims data streams, economic indicators, social inflation proxies. Output: early-warning signals for emerging claims trends before they hit the combined ratio.
How It Works
From Risk Data to Actionable Intelligence
The same ensemble engine that forecasts equity prices can forecast any time-series data — including loss ratios, claims frequency, and risk factor indices. Here's how.
Ingest Your Data
Upload historical risk factors, loss ratios, claims data, and external inputs via API or CSV
Ensemble Modelling
14+ models compete on your data. Walk-forward validation eliminates overfitting — only models that predict unseen data survive
Signal Generation
Daily or weekly risk signals with direction, confidence, strength, and driver attribution showing which factors matter most
Actuary Integration
Signals feed into your existing actuarial workflow as a quantitative overlay — dashboards, API, or PDF reports
Walk-Forward Validation — The Insurance Equivalent of Reserving Studies
Every model is trained only on past data and validated on future unseen periods. This mirrors the discipline of actuarial back-testing but at ensemble scale — ensuring forecasts are robust, not curve-fitted to historical patterns.
Purpose-built for insurance portfolios
ALM, SAA, and tactical allocation — with confidence grading.
Methodology
End-to-End Risk Intelligence Pipeline
Your risk data is combined with external sources, processed through layers of ensemble models, and translated into actionable risk signals — with full walk-forward validation.
Feature Engineering(500+)
Platform
Risk Intelligence at a Glance
▲ +2.1pp Loss Ratio — 6-Month Forecast
Signal: Tighten Pricing · Model Accuracy: 74%
KEY DRIVERS
▲ Claims Inflation
▲ Repair Cost Index
▼ Driving Volume
○ Weather (neutral)
RESERVE SIGNAL
IBNR Trend: Rising
Adequacy: Marginal
Conf. Band: ±3.2pp
Horizon: 12-month
PORTFOLIO
Lines: 6 active
COR: 97.2%
Inv. Yield: 4.1%
Next Review: 14d
Output
Every Risk Forecast Tells the Full Story
Six components per forecast — designed for actuarial transparency and operability.
1
Direction
Increasing, decreasing, or stable risk trend
2
Expected Move
Forecasted change in loss ratio or risk metric
3
Confidence
Calibrated from historical prediction accuracy
4
Model Accuracy
Historical hit rate across walk-forward windows
5
Confidence Interval
Upper and lower bounds on the risk forecast
6
Key Drivers
Most influential risk factors driving the forecast
Example: Motor Line — Loss Ratio — 6 Month Horizon
Rising
Direction
+2.1pp
Expected Move
72%
Confidence
74%
Accuracy
+0.5pp / +3.8pp
CI Range
Inflation↑
Repair Costs↑
Claims Freq↑
Drivers
Trusted methodology for regulated environments
Walk-forward validated. Explainable. Auditable.
Data
Your Risk Data + Our External Sources
We combine your proprietary claims and underwriting data with 70+ external data sources for richer risk signals.
| Category | What We Ingest | Why It Matters |
|---|---|---|
| Claims Data | Frequency, severity, development patterns, IBNR | Core loss ratio modelling inputs |
| Underwriting | Premium volumes, rate changes, policy counts by line | Pricing signal generation |
| Macro Indicators | GDP, inflation, interest rates, unemployment (300+ series) | Economic regime effects on claims |
| Weather & Climate | Temperature, precipitation, storm indices, seasonal patterns | Cat risk and property claims correlation |
| Market Data | Investment portfolio returns, bond yields, credit spreads | Asset-side risk and liability matching |
| Regulatory | Solvency ratios, capital requirements, industry benchmarks | Compliance context and peer comparison |
| Social Inflation | Litigation trends, jury awards, legislative changes | Emerging risk factor identification |
Ingest
Your data + external
Quality Check
Anomaly detection
Normalise
Align & clean
Engineer
500+ risk features
Version
Reproducible
Value Proposition
The Impact on Your Business
Cognostrix augments your actuarial team — faster insights, broader factor discovery, and continuous model validation. The business case is straightforward.
10×
Faster Iteration
Months → days for new models
14+
Ensemble Models
Competing on your data
24/7
Continuous Updates
Not quarterly recalibration
100%
Out-of-Sample
Walk-forward validated
Without Cognostrix
- ✕3–12 month model development cycles
- ✕Actuaries spend 60–80% time on data preparation
- ✕Single-model approaches vulnerable to regime changes
- ✕Hidden risk factors discovered late — or never
With Cognostrix
- ✓New risk models validated in days, not months
- ✓Actuaries focus on interpretation, not data wrangling
- ✓14+ models compete — the ensemble adapts to regime shifts
- ✓Driver attribution surfaces non-obvious risk correlations
Getting started: We work with your actuarial team to identify the highest-value use case, ingest your data, and deliver validated forecasts. No long integration — start with a single line of business and expand from there.
Product Family
The Cognostrix Platform for Insurance
The same ensemble engine that powers financial market forecasting can forecast any time-series data — including loss ratios, claims severity, and risk factor indices.
Cognostrix Core
ProductionProprietary forecasting engine: ensemble ML, walk-forward validation, calibrated confidence
Cognostrix Markets
ProductionFinancial asset forecasting — powers your investment portfolio risk management and asset-liability matching
Cognostrix Predict
AvailableEnterprise forecasting for insurance: loss ratios, claims frequency, reserve adequacy, catastrophe risk, and pricing signals
Cognostrix Embedded
AvailableWhite-label API to embed risk forecasts directly into your actuarial tools, underwriting platforms, or risk dashboards
Cognostrix Portfolio
Releasing SoonPortfolio-level analytics for your investment book — allocation intelligence, regime detection, liability matching
Cognostrix Execute
CustomAutomated rebalancing and execution tools for your investment portfolio
Onboarding
From First Call to Live Risk Forecasts
Discovery Call
We identify your highest-value use case — loss ratio, reserves, cat risk, or pricing.
Data Handshake
We define the data inputs: your claims/UW data + our 70+ external sources. Secure transfer.
Model Training
14+ models compete on your data. Walk-forward validation within days, not months.
Live Deployment
Risk signals via dashboard, API, or automated reports. Your actuaries review and integrate.
Structured pilot programme: 30–60 day proof of concept on a single line of business. Defined success criteria, dedicated support, and a methodology walk-through with your actuarial team.
Who We Are
Our Mission
“Financial markets reward disciplined processes and robust decision frameworks. Cognostrix exists to make professional-grade forecasting and analytics more accessible — without compromising on validation, transparency, or operational reliability.”
Transparency
Clear outputs, documented methodology, visible uncertainty
Rigour
Walk-forward evaluation, no overfitting — methodology first
Practicality
Built for real workflows via dashboards and APIs
Improvement
Models evolve with market regimes, new data, and evidence
Cognostrix represents the intersection of sophisticated quantitative finance and Scandinavian design principles — clean, transparent, and engineered for trust.
Questions
Frequently Asked Questions
Is this a trading bot?
No. We provide forecasts and decision-support signals. You make the decisions and execute trades yourself.
Can you guarantee returns?
No. Financial markets are inherently uncertain. We provide a disciplined edge, not certainty.
What's your track record?
We evaluate models using walk-forward methodology. A full performance pack is available under NDA.
How often are forecasts updated?
Daily, after market close (EOD). Intraday refresh available for Enterprise.
Can I cancel anytime?
Monthly plans cancel anytime. Annual plans follow the terms defined at purchase.
Do you offer a free trial?
Yes. 60-day Explore trial with 5 assets, no credit card required.
Is my data private?
Absolutely. Encrypted at rest and in transit. We never share individual user data or watchlists.
Do you provide API access?
Yes, from Pro tier and above. Full REST API documentation available.