Predictive Intelligence

for Medicine, Research & Insurance

Powered by AI & Actuarial Science

Veritas AI is a technology company specializing in developing innovative data-driven solutions that combine

actuarial methods, advanced statistical models, and artificial intelligence (AI) — to improve precise, smart, and

efficient decision-making in research, healthcare, insurance, and finance.

Veritas AI is a technology company specializing in developing innovative data-driven solutions that combine actuarial methods, advanced statistical models, and artificial intelligence (AI) — to improve precise, smart, and efficient decision-making in research, healthcare, insurance, and finance.

VERITAS AI Vision

In an era where the volume of data required for meaningful decision-making is growing at a staggering pace, making accurate, swift, and fully data-driven decisions has become a core challenge across many fields, including research, medicine, insurance, and finance. Despite significant advancements in information technology and artificial intelligence, decision-makers still find translating complex data into clear, actionable insights to be a formidable challenge.

Veritas AI was founded to address this exact need. We develop advanced technological solutions that integrate actuarial models, artificial intelligence (AI), and autonomous agents to enable highly accurate, data-driven decision-making.

Our company develops innovative platforms that provide practical tools for data analysis, outcome prediction, and uncertainty mitigation. By combining advanced probabilistic models with powerful AI capabilities, Veritas AI’s solutions empower users to forecast future scenarios, identify critical variables, and generate precise insights in real time.

In the medical field, we pioneer a unique approach to probability-based clinical decision-making. Simultaneously, our platforms enable the automation of research workflows—from raw data analysis to the generation of publication-ready scientific outputs.

What sets Veritas AI apart is our multidisciplinary integration of actuarial science, statistics, and artificial intelligence, coupled with our ability to transform complex models into transparent, measurable, and easily implementable systems. Unlike traditional "black box" tools, our solutions offer complete transparency, providing clear visibility into the decision-making process and maximum adaptability to the user’s specific data.

SYSTEM

Veritas AI's vision is to lead the next generation of data-driven decision-making — turning probabilities, predictions, and insights into central, accessible, and practical tools for professionals and organizations worldwide.

The Technology Behind Our Platforms

An advanced technological system combining probabilistic-actuarial models, advanced statistical analysis,

and artificial intelligence — to create precise, personalized, real-time insights.

An advanced technological system combining probabilistic-actuarial models, advanced statistical analysis, and artificial intelligence — to create precise, personalized, real-time insights.

Probabilistic-Actuarial
Models

Personalized prediction based on advanced probabilistic models, enabling high-precision risk and outcome analysis — based on real data rather than general assumptions.

Advanced Real-Time
Data Analysis

Performing research-grade statistical and actuarial analyses within seconds, replacing months-long complex processes — delivering precise and immediate insights.

AI-Powered Automated
Academic Research

Automatic conversion of data into complete publication-ready scientific papers, including statistical analyses, tables, and academic content — with high precision and in accordance with research standards.

Three Platforms. One Data-Driven Approach.

Veritas AI develops three complementary platforms, built on a combination of probabilistic models,

advanced actuarial science, and artificial intelligence — creating precise insights and enabling smart decision-making.

An advanced insurance pricing system based on actuarial models and current medical data, enabling precise risk assessment and personalized pricing.
 
 
An automated platform that transforms clinical data into publication-ready scientific papers, including statistical analyses, tables, and academic content at research-grade quality.
A clinical decision support system based on personalized probabilistic models, enabling prediction of treatment outcomes and risks based on patient data and local population data.
A clinical decision support system based on personalized probabilistic models, enabling prediction of treatment outcomes and risks based on patient data and local population data.
An automated platform that transforms clinical data into publication-ready scientific papers, including statistical analyses, tables, and academic content at research-grade quality.
An advanced insurance pricing system based on actuarial models and current medical data, enabling precise risk assessment and personalized pricing.
 
 
MEDI
Tested in practice through a clinical pilot at Hadassah Hospital — with proven improvement in medical decision accuracy.

MediPredict

A probability-based clinical decision support system for precise, personalized analysis of treatment outcomes.

MediPredict is an advanced clinical AI platform combining probabilistic-actuarial models, statistical analysis, and machine learning to improve the quality of medical decision-making.

Unlike traditional approaches based on general guidelines, the system analyzes the patient's personal data alongside local and global population data, providing personalized predictions with high precision.

The system enables physicians to receive within minutes a probabilistic assessment of possible treatment outcomes — including success rates, risk levels, and recurrence probability — thereby helping reduce uncertainty and improve treatment outcomes.

Advanced Risk Assessment

Calculating probabilities for various medical scenarios with high precision.

Personalized Clinical Prediction

Probabilistic analysis based on the patient's data and relevant population.

Results in Short Time

Data analysis and insight generation within minutes instead of lengthy processes.

Real Decision Support

Moving from general recommendations to data-driven decisions.
RESEARCH

Academic Research AI

Transforming clinical data into complete scientific papers — quickly, precisely, and at high academic quality.

Academic Research AI is an innovative platform designed for physicians and clinical researchers, enabling the transformation of raw medical data into complete research outputs.

The system automatically performs all research stages: statistical analysis, appropriate test selection, table and graph construction, and full academic writing — in accordance with medical journal standards.

Through full automation of the research process, the platform saves time and resources, enables increased publication output, and improves research quality through consistent precision and methodology.

Advanced Statistical Analysis

Selection of appropriate analysis methods and generation of precise results.

Automated Data Processing

Analysis of medical databases without the need for human intervention.

Academic Standards Compliance

Building content in accordance with medical journal requirements.

Publication-Ready Papers

Creation of a complete paper draft including background, methodology, results, and discussion.
RESEARCH
INSURAI

InsurAI

Smart insurance pricing based on actuarial models and current medical data.

InsurAI is an advanced platform for insurance companies, combining artificial intelligence with actuarial models for risk analysis and policy pricing.

The system uses current medical data and advanced models to provide precise risk assessment for each insured individual, enabling personalized and fair pricing.

Through automation of prediction and analysis processes, the platform improves operational efficiency, reduces manual work, and helps organizations balance profitability with precision.

Personalized Pricing

Setting premiums according to each insured's risk profile.

Precise Risk Assessment

Combining medical data with advanced actuarial models.

Process Optimization

Automation of actuarial models and reduction of manual work.

Transparency & Regulation

Clear calculations supporting regulatory compliance.

The Challenge in Decision-Making — And the Opportunity to Change It

Despite significant advances in data, AI, and medical guidelines — decision-making is still not based on personalized probabilities.

Need for Transparency & Trust

Many systems operate as a 'black box,' while the need for transparency, understanding of the decision-making process, and adaptation to different populations continues to grow.

Physician Overload & Decision-Making

Physicians face growing workload and lack of time for deep data analysis, making data-driven decision-making difficult.

Shift to Personalized Medicine

The demand for personalized treatment is growing, but existing tools don't provide precise probabilistic prediction for each patient.

Significant Growth in Clinical Data

The volume of available medical data continues to grow rapidly, yet the ability to extract precise insights from it remains limited.

Leading Team

A leading team of experts with a unique combination of academic knowledge, clinical experience, and advanced technological expertise
פרופ' רמי יוסף

Prof. Rami Yosef

Lead Founder
Full Professor of Actuarial Science at Ben-Gurion University of the Negev, President of the Israeli Institute of Actuaries (AIA), and former President of IAVFA. One of Israel's foremost actuaries and researchers, with an international reputation in pension and actuarial analysis. Serves as a consultant to the government, the Bank of Israel, insurance companies, pension funds, and the judiciary.
ד״ר שנהב מלול

Dr. Shenhav Malul

Co-Founder
Senior Lecturer and researcher in actuarial science and complex risk prediction. Certified Public Accountant (CPA), CEO of the Israeli Institute of Actuaries (AIA), and faculty member at Ben-Gurion University. Specializes in actuarial-economic consulting, legal opinions, and IAS19 reporting, with publications in international journals.
 
 
פרופ׳ איתמר גרוטו

Prof. Itamar Grotto

Board Member & Senior Advisor
Public health physician and Doctor of Health Systems Management. Served in senior leadership roles including Associate Director-General of the Ministry of Health and Head of Public Health Services. Led national strategic initiatives, and in 2017 was elected as a member of the WHO Executive Board.
 
 
 

Contact & Partnerships

We'd love to hear from you — for partnerships, pilots, research, or exploring business opportunities.

VERITAS AI is open to strategic partnerships with medical institutions, universities, research organizations, insurance companies, and investors who believe in the potential of predictive AI in medicine, research, and insurance.

Veritas AI
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