Optimalex was founded in 2020 after nearly a decade of intensive legal analytics, data science research, and software engineering between New York (Columbia) and Paris (La Sorbonne).
Optimalex is an insurtech whose ambition is to increase fairness, reduce risk, and improve efficiency on damages claims and recoveries, hence benefiting all parties involved in disputes.
Optimalex provides AI predictive analytics decision support tools to improve consistency, fairness, and efficiency in P&C insurance claims management and dispute resolution.
Predictive Analytics For Insurance Claims
Our predictive analytics software offers property and casualty insurance companies and attorneys the means to reduce the uncertainty over the claims lifecycle and optimize outcomes in a variety of legal situations and claim types:
Business Tort Damages
Damages to New Businesses
Optimalex’s AGATHA is a SaaS platform that uses AI predictive intelligence to estimate the outcome of a claim, quantify damages compensation and length of proceedings for all parties involved.
Motor Vehicle Accidents
AGATHA displays an interactive dashboard of estimates.
Users can update parameters to create multiple win and recovery rate estimates for the same case.
Optimalex’s NOAH extracts, curates, and structures your data for prediction. This service sets the course for your future cases to streamline claims and litigation management.
Predictive Data Analytics
Years of Cumulative Experience
Data Points Used In Our Predictions
Legal Practice Areas
We start with Law and then use data sciences. While 85% of our work is automated, Optimalex's lawyers stay committed all along the chain, ensuring that our products and services are continuously improved.
Optimalex analyzes 11,070,100 data points in judicial decisions and settled cases, through machine learning and natural language processing techniques, to offer our
clients the most objective predictions.
How It Works
The Path From Data to Prediction
Our team of lawyers continuously analyzes new claims data, both settled and litigated, to keep our models up-to-date.
Natural Language Processing and Machine Learning techniques enhance our capabilities, but we do not rely on them alone. Our lawyers verify and correct results to ensure our predictions are interpretable and reliable: we are lawyers trained in data science, not the other way around.
Our legal team also continually explores new areas of the law where our expertise could be helpful.
Our engineers and data scientists have developed tools to identify, extract, and curate all the relevant information per claim, whether structured or not, and from private and public sources for optimal insurance claims and legal risk management.
With our groundbreaking AI algorithms and user interface, we offer our clients the collective intelligence of all our analytics without putting their data at risk. Only you can access the data you decide to share with Optimalex.
Once the data is extracted and secured, our data scientists and legal analysts turn to predictions. We use state-of-the-art machine learning techniques, including Neural Networks, Random Forests, and Gradient Boosters. Our internal lawyers collaborate with our engineers throughout the entire process to ensure that models are interpretable and sound.
Once the process is completed, you will have instant access to predictions with unprecedented levels of detail.
Take advantage of advanced analytics to quickly settle claims and improve consistency and fairness.
From INOL to closing, estimate the value of claims, the likelihood of escalation, the propensity to litigate, and so much more.
Our legal predictive analytics solutions lead to efficient decisions within your team.
How We Help
Insurance Claims Litigation Management
As an insurtech, Optimalex helps claims adjusters identify early-on potentially outlying cases to protect insurance companies from devastating verdicts.
Our solutions also help you optimize retention of legal representation and experts.