Evara provides an Inferential AI platform powered by automated Bayesian inference to guide professional decision-making under uncertainty. Its Excel integration allows users to leverage existing data and expertise to generate superior, adaptive predictions for various business functions like FP&A and supply chain management. The platform simplifies complex statistical analysis to extract valuable insights even from sparse datasets.
Funding
Funding not disclosed
Founders
Product
Problem
Many business decisions rely on intuition and guesswork due to the limitations of traditional statistical models when dealing with sparse or incomplete data. Existing forecasting and risk assessment methods often struggle to adapt to new information, leading to inaccurate predictions and suboptimal outcomes.
Solution
Evara provides an Excel-integrated software solution that leverages automated Bayesian inference to generate predictive models, even from limited datasets. The technology creates numerous potential future scenarios and refines them based on available data, offering unique insights and risk assessments to guide decision-making. Evara continuously incorporates new data points to improve model accuracy, tailoring them to specific business realities. By automating complex statistical analysis, Evara enables professionals to make data-driven decisions and improve business modeling across various industries.
Target Audience
Evara is designed for professionals across various industries, including finance, supply chain, and insurance, who need to make predictions and informed decisions based on limited or uncertain data.
Features
- Automated Bayesian inference engine for generating predictive models from sparse data
- Excel integration for accessibility and ease of use
- Continuous model improvement through incorporation of new data points
- Ability to handle a wide range of business applications, including FP&A, supply chain management, and insurance risk profiling
- Automated statistical analysis to improve prediction accuracy