Let's Meet
AI Evolved Apps
AI Evolved Industries
Now… AI Evolves AI
'EARTH' by Evolution.inc
The AI-for-AI Platform That Builds a Forever Evolving AI
Thanks to AI-for-AI, you can achieve tailor-made AI for any business or tech need,
with a shorter time-to-market and higher accuracy levels.
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 parallelized platform running Genetic Algorithms that evolve AI systems.
PROVIDING A SPECTRUM OF SOLUTIONS
From basic access to ‘Earth’ to customized implementation by our network of partners.
How genetic algorithms do AI-for-AI
Our Customers
ACCEL AI Leadership
Ashi Mark
VP Sales
Dr. Lee Ben-Ami
Co-Founder & Chief Scientist
Dr. Ronen Tal-Botzer
Co-Founder & CEO
Udi Weintraub
Board Member
Ronen Shor
Board Member
Accel AI co-founders have gone through quite some evolution...
Accel AI was founded by entrepreneurs with a shared vision to reshape the AI space, and boasts over two decades 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.
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 hypotheses.
