Re-envision your product in the AI era.

We help companies to accelerate AI adoption.

Identifying the opportunity

Leveraging our ML expertise and long R&D experience, we identify possible ML opportunities for your business/product that address key challenges. Our goal is to develop innovative and working ML projects in order to deliver strong return on investment. At this point we can envision how your business could exploit the full power of ML.

Leveraging your data

We involve a group of experts such as software engineers and machine learning engineers. All together on board we design your scalable machine learning infrastructure pipeline as needed to deploy ML workflows while assembling your technical stack and data. Our goal is to productize your ML ideas and focus on what matters most: the algorithmic solution.

Training your people

Each ML Solution Pipeline is composed by a group of experts from our side and possibly by domain experts from your side. This way the project moves fast as we transfer the technology and expertise to your organization. Our goal is the AI adoption by your side in order to continue the AI journey by yourself.
Our goal is to transfer the technology and expertise to your organization in order to continue the AI journey by yourself.

The phases ML/AI Solution Pipeline.

Discover

A kick-off workshop with our experts on board to identify ML opportunities while building a well-formulated ML project in order to provide momentum in your organization and the people involved.

Plan

Plan and design the ML infrastructure for the project. Define a clear development path from your data platform to ML model deployment and experimentation while leveraging your current technical stack and compliment with new ML infrastructure when necessary.

Build

Analyse and explore your data, build the right feature extraction ETL, find the right models in order to solve the problem accurately and efficiently. Experiment on multiple configurations and hyperparameter tuning and finally visualize and interpret model’s results.

Deploy

Design, build the appropriate orchestration pipeline for building, training and deploying the developed models into production. Performance monitoring is of crucial importance to close the virtuous ML loop: more data, better model leads to better product.
Making sure that there is an ML opportunity with a well-defined problem. Continuous monitoring. Clear outcomes’ measurement that address your business challenges.

Plans & Features

You are free to build your own custom plan by selecting features from the table below that match your needs. We offer solutions with either short duration, in the form of fast explorations (2-4 weeks), standard (2 - 4 months) or heavy and long term solutions (up to 12m). Cost is determined per case, taking into consideration all provided resources and requirements, the involved task complexity, the amount of involved data and the time that is to be allocated. We provide the following indicative plans.
FAST
FAST
STANDARD
HEAVY
Duration (months)
½-1
2-4
6-12
Monitoring
Email
●
●
●
Teleconfereces
●
●
●
On-board expert
●
Reporting
Basic
●
●
●
Technical
●
●
Outputs
Basic output & results
●
●
●
API
●
●
System implementation
●
Support
Expert support
●
●
Dedicated expert
●
Live training
●
Data
Load control
●
●●
●●●●●
STADARD
FAST
STANDARD
HEAVY
Duration (months)
½-1
2-4
6-12
Monitoring
Email
●
●
●
Teleconfereces
●
●
●
On-board expert
●
Reporting
Basic
●
●
●
Technical
●
●
Outputs
Basic output & results
●
●
●
API
●
●
System implementation
●
Support
Expert support
●
●
Dedicated expert
●
Live training
●
Data
Load control
●
●●
●●●●●
HEAVY
FAST
STANDARD
HEAVY
Duration (months)
½-1
2-4
6-12
Monitoring
Email
●
●
●
Teleconfereces
●
●
●
On-board expert
●
Reporting
Basic
●
●
●
Technical
●
●
Outputs
Basic output & results
●
●
●
API
●
●
System implementation
●
Support
Expert support
●
●
Dedicated expert
●
Live training
●
Data
Load control
●
●●
●●●●●