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Evolution.INC
The AI-for-AI Platform That Builds a Forever Evolving AI

Get the most optimal AI solution, which is often unattainable by human AI engineers,
using an AI that does all the required data science work for you, so you don’t have to.

AI-FOR-AI MAXIMIZES BUSINESS IMPACT

The KPIs of almost any AI system can be improved… but not necessarily by humans.

HARDWARE & SOFTWARE FOR EVOLVING AI

'Earth' is a GPU-based platfrom running Genetic Algorithms that evolve AI systems.

PROVIDING A FULL SPECTRUM OF SOLUTIONS

From basic access to ‘Earth’ to customized implementation by our network of partners.

How genetic algorithms do AI-for-AI

EVOLUTION.INC Leadership

Evolution co-founders have gone through quite some evolution...

Evolution.inc was founded by three entrepreneurs with a shared vision to reshape the AI space, and boasts over a decade of success working together in both research and commercial arenas. Together they have applied AI systems across various industries, such as healthcare, eCommerce, FinTech, gaming, LegalTech, and higher education.

Our Team

Beny Rubinstein

Strategic Partnerships Officer

Beny is a founding team member of Microsoft Azure and cloud computing master. Drove innovative cross-industry and cross-functional growth ventures at Microsoft. He has an MBA from Wharton School, with specialization in Finance and Strategic Management.

Dean Vitenberg

Product Manager

An expert in quality control and project management, Dean served in the HQ of Ofek 324, the computing and cyber unit of the Israeli Air Force, and later as a commander in its Unmanned Aerial Vehicle (UAV) department.

Gil Kotton

Co-Founder & CTO

Gil is a veteran technologist with over 30 years of experience in advanced and complex systems, working with simulator technologies, cloud and accelerated computing. Gil has a rare expertise in making hardware and software work synergistically together.

Kobi Hazan

Database Administrator

Kobi is the one who translates Evolution’s high-level vision into the tiny details of big data. He is an electrical engineer by profession and a master of creating structure and order by heart.

Dr. Lee Ben-Ami

Co-Founder & CSO

A former fighter pilot in the Israeli Air Force, Lee served for 25 years in the IAF Ofek 324 unit, as the unit’s Chief Programmer and head of large-scale, mission critical software development teams. Lee has also earned BSc, MSc, and PhD degrees in Bioinformatics. In his research work he developed implantable systems for human cognitive augmentation.

Matan Medina

Sr. Algorithms Developer

A computer geek of the worst kind, Matan is an expert in Genetic Algorithms and writes high quality code with dazzling virtuosity. He is a software engineer by profession and algorithmic problem solver by nature.

Dr. Nati Mendelman

Data Scientist

Nati served in the Technological Unit of the Intelligence Division, IDF. He earned a MSc degree in Physical Chemistry and a PhD in Computational Biology: two disciplines with deep focus on data. During his research he got fascinated by AI, which impacts all aspects of life.

Dr. Ronen Tal-Botzer

Co-Founder & CEO

A serial entrepreneur and founder of Sense.Education. Ronen served in the Technological Unit of the Intelligence Division, IDF. He holds a double major degree in CS and Biology (Summa Cum Laude) with a direct track to PhD in AI for Medicine. Ronen is also the Director of the Genomics and Biomedical Informatics Program by Sheba Medical Center and Bar-Ilan University.

Roy Abend

Cloud Developer

After graduating from the Bar-Ilan University program for excelling students in Mathematics, Roy continued his excelling tradition in all ML-related fields. He is also a graduate of The Computer Science, Academia and Industry Program of Davidson Institute, as well as the Data Science Career Track of DataCamp.

Roy Elbaz

ML Engineer

Roy has the unique combination of scientific research skills alongside strong hands-on engineering capabilities. Formerly an engineer and innovation leader at Payoneer, he earned BSc and MSc degrees in Physics, with emphasis on data mining and spatial simulations.

Roy Abend

Cloud Developer

Dr. Ronen Tal-Botzer

Co-Founder & CEO

Dr. Nati Mendelman

Data Scientist

Matan Medina

Sr. Algorithms Developer

Beny Rubinstein

Strategic Partnerships Officer

Dean Vitenberg

QA Manager

Gil Kotton

Co-Founder & CTO

Kobi Hazan

Database Administrator

Roy Elbaz

ML Engineer

Dr. Lee Ben-Ami

Co-Founder & CSO

AI/ML Features

Data Aggregation & Enrichment

Treat data itself as a product. Have dedicated algorithms improve it before the ML parts.

Assess the impact of your data properties regarding size, noise and sparseness levels.

Employ various simulation techniques in order to overcome data challenges.

Feature Selection/Engineering

Transform raw data into more meaningful representations to enhance machine learning.

Reduce big data jungles to the optimal combination of the most informative features.

Generate new, creative feature relations by automatic mathematical manipulations.

Split Data Between Different Models

Instead of having one model to treat the whole dataset, split data into several packages.

Run a variety of algorithms, each on its own data package, to combine their advantages.

Create new boosting mechanisms of various datasets and algorithms working in parallel.

Classification - Evolved

Evolve traditional structures of classification models to express complex behaviors.

Improve ML training processes to reach the globally-optimal tuned model.

Create more free-form classification rules to increase inference accuracy.

Clustering - Evolved

Free your algorithm from restricted centroids or linkage methods.

Integrate more domain expertise into cluster definitions.

Match data points based on real proximity rather than clustering procedures.

Pattern Recognition - Evolved

Catch hidden phenomena by considering novel pattern definitions.

Discover more authentic associations between patterns.

Formulate new, more predictive distance metrics between patterns.

Hyperparameter Optimization

Evolve your current AI system automatically by tuning its parameters for better results.

Run a powerful trial-and-error search of multiple parameters and combinations at once.

Repeat this process over and over again (24/7 GA), to always strive for perfection.

Prediction & Association Rules

Project time series into either less or more complex dimensions.

Align historical events to each other according to flexible rules.

Find hidden relationships between features to better understand data process behavior.

Optimized ML Pipelines & Architectures

Mix regression models with themselves or with classification models.

Make large-scale expeditions to draw insights from raw data.

Predict better by finding unexpected relationships between points. potheses.

Let Evolution Do The Work

Mail: contact@evolution.inc

Phone: +972-73-7373737

Office: 40 Tuval St., 40th Floor, Ramat-Gan, Israel

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