DoiT Named 2020 Google Cloud Global Reseller Partner of the Year – Read more

Make machine learning a collaborative process.

Our secret sauce

We are obsessed with data.

Our extensive experience, cutting edge technology, and passion for machine learning will help get your ML projects off the ground successfully.
Icons

Effective and reliable.

We want to package the right program for you and your business’ needs. Let’s choose your technology area of interest and project type to get things started.

Phase 1: Discovery

Phase 1 Discovery
backgroundLayer 1
Research

Business
Understanding

backgroundLayer 1
Collection

Data
Understanding

backgroundLayer 1
 

Data
Preparation

Phase 2 Innovation

Phase 2:
Innovation
(our favorite!)

backgroundLayer 1
Data Science

Feature
Selection

backgroundLayer 1
 

Model
Training

backgroundLayer 1
 

Model
Validation

Phase 3: It’s Really Happening

Phase 3
backgroundLayer 1
Research

Model
Deployment

backgroundLayer 1
Change

Update
& Tuning

Our Crew

Gad Benram

When Gad isn’t stuck in the cloud, he’s dominating in League of Legends while nibbling on assorted cheese and drinking red wine. It’s called work-life-balance.

Come say hi.

Our Crew

Elad Shabi – Cloud Architect

When Elad isn't stuck in the cloud, well... he spends most of his time there 🙂.

Come say hi.
Previous
Next

Our clients say.

“Agriculture is a seasonal business, so we have certain months of peak activity followed by quiet months, and we also have peaks throughout the day. During quiet times, we can scale back all our high-level Compute Engine GPU resources automatically so we don't have to prepare our system in advance.”
Taranis
Eli Bukchin, Co-founder and CTO
Credentials
Google Developers
Google Cloud Partner
Kaggle
Our ML/AI Services

Machine Learning on AWS

We can help you to choose from pre-trained AI services for computer vision, language, recommendations, and forecasting; Amazon SageMaker to quickly build, train and deploy machine learning models at scale.

Data Lakes and Analytics on AWS

We will help you to design and build AWS-powered data lakes that can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights.

Real-Time Analytics with Amazon Kinesis

Almost everyone uses streaming data to gain real-time insight into customer activity and immediate business trends. Streaming data, which is generated continuously from thousands of data sources.

Gaming Analytics Pipeline on AWS

Given the dominance of the free to play model and in-app purchases offered in the gaming industry, games have become more of a service than a product. In-game analytics is critical to engage and monetize users.

Machine Learning for Minimum Viable Model (MVM)

Machine Learning for Minimum Viable Model helps customers develop an initial machine learning model running on TensorFlow to demonstrate proof-of-concept modeling of a specific business use case.

Get real with AI

Take the journey with us

Let us help you to make an impact with data.