Target model fit quality for reliable predictions and uncertainty estimates.
Your personal scientist Extracting maximum information from your data, designing optimal experiments, predicting outcomes.
Like a scientist in your pocket-Evidentia analyzes your observations using rigorous mathematical models, quantifies uncertainty with probability theory, and designs the next optimal experiment. From sleep optimization to business metrics, from athletic performance to creative output: we transform your data into actionable intelligence using the same principles that power modern research labs.
The scientific method, automated
Evidentia applies rigorous mathematical optimization and probabilistic inference to your real-world data. We build surrogate models, quantify uncertainty, explore multidimensional solution spaces, and recommend experiments that maximize information gain-just like a research scientist would.
- Mathematical modeling with uncertainty quantification
- Multi-objective optimization across complex parameter spaces
- Confidence intervals and prediction bands for every recommendation
- Sensitivity analysis revealing which variables matter most
01
Data validation & modeling
Ingest observations, validate structure, build surrogate models with confidence metrics.
02
Probabilistic optimization
Explore solution space, quantify uncertainty, rank candidates by expected value.
03
Experiment design
Recommend next test with uncertainty bands, sensitivity analysis, and actionable insights.
Confidence intervals reported for all predictions with uncertainty quantification.
Candidate solutions evaluated per optimization run across parameter space.
Advanced mathematical analysis
Uncertainty quantification
Every prediction includes confidence intervals, standard errors, and model fit statistics (R², RMSE, MAE). We tell you not just what to expect, but how certain we are about it.
Multidimensional optimization
Navigate complex parameter spaces with multiple competing objectives. Our mathematical optimizer finds Pareto-optimal solutions and reveals trade-offs between different goals.
Sensitivity analysis
Discover which variables drive your outcomes. Quantitative sensitivity rankings show you where to focus your experimentation efforts for maximum impact.
Predictive modeling
Build data-driven models that capture relationships between inputs and outcomes. Get predictions with probability bands showing likely ranges and edge cases.
From athletic performance to business intelligence
Evidentia brings laboratory-grade analysis to any domain where you track variables and care about outcomes. The same mathematical principles work whether you're optimizing recovery protocols or conversion funnels.
Sport & athletic performance
Optimize training load, recovery windows, and nutrition timing. Model relationships between HRV, sleep quality, and performance metrics. Design periodization experiments with confidence intervals on expected adaptations.
- Training volume vs. recovery optimization
- Sleep architecture and performance correlation
- Nutrition timing for specific adaptations
Business & growth experiments
Run rigorous A/B tests on pricing, messaging, and product features. Multi-variate analysis of marketing channels, conversion funnels, and retention drivers. Predict revenue impact with uncertainty bounds.
- Pricing optimization with demand elasticity
- Marketing mix modeling and attribution
- Conversion funnel bottleneck analysis
Wellbeing & health optimization
Track mood, energy, stress biomarkers, and lifestyle variables. Identify the habits that genuinely move the needle on your wellbeing metrics through mathematical modeling and causal inference.
- Sleep quality drivers and interventions
- Energy level prediction and management
- Stress response and mitigation strategies
Data science & analytics
Rapid exploratory analysis with automated feature engineering. Sensitivity analysis for model debugging. Uncertainty quantification for production predictions. Turn raw datasets into actionable experiments.
- Automated exploratory data analysis
- Feature importance and selection
- Model validation with uncertainty metrics
Creative & cognitive work
Optimize your environment and routines for deep work. Model relationships between focus time, breaks, and output quality. Design experiments to maximize creative productivity.
- Focus session duration optimization
- Environmental factors and creativity
- Work-rest balance for sustained output
Process & operations
Optimize manufacturing parameters, logistics routes, or service workflows. Multi-objective optimization balancing efficiency, quality, and costs with probabilistic outcome predictions.
- Process parameter optimization
- Quality control with statistical limits
- Resource allocation under uncertainty
Mathematical rigor meets practical experimentation
We combine proven statistical methods, optimization algorithms, and machine learning techniques to extract maximum insight from limited data-the same approach used in scientific research, clinical trials, and high-stakes engineering.
Probabilistic inference
Every recommendation comes with uncertainty estimates. We quantify what we know, what we don't know, and how confident we are in our predictions.
Multi-objective optimization
Balance competing goals (sleep vs. productivity, cost vs. performance) using Pareto optimization. See the trade-offs explicitly and choose what matters most to you.
Adaptive experimentation
Each experiment refines our models and reduces uncertainty. We recommend tests that maximize information gain, not just optimize for short-term outcomes.
Surrogate modeling
When direct experiments are expensive or slow, we build mathematical approximations that capture the essential patterns and enable rapid exploration of possibilities.