Build a Machine Learning Solution

We leverage the latest AI research and years of hands-on experience, to build state of the art solutions for the industry.

We have successfully delivered Machine Learning solutions for companies across industries and functions, including Oil and Gas, Insurance, Transportation, Human Resource.

Here you can find more about we how operate.

What

Images

Extract, analyse and use information from images and videos using Computer Vision

Applications include:

  • Person, gender and age counter
  • Text extraction from Images
  • Manufacturing: defect detection
  • Machines maintenance

Text

Process, extract and use information from text data using Natural Language Processing

Applications include:

  • Sentiment Analysis
  • Document Classification
  • Entity Extraction

Predictive

Estimate likelihood of events and discover the driving factors behind

Applications include:

  • Marketing, Retail – Predict Churn Rate
  • HR – Predict attrition and understand its drivers
  • Industrial assets – Predictive Maintenance

Clustering

Find patterns in large amount of data and identify hidden structures

Applications include:

  • Customers Segmentation
  • Patterns recognition
  • Social Network Analysis

Recommender Systems

Suggest the most relevant products or services to each customer

Applications include:

  • E-commerce: Products recommendations
  • Marketing: Dynamic ads selection

Why

The great innovation brought by Machine Learning consists in the possibility to do things that were not possible before, or to just carry out existing tasks more efficiently with a fraction of the effort.

Algorithms can be incorporated into products and applications, increasingly leading to smarter and amazing products.

How

Over the years, we have established a flexible yet well defined approach to deliver Machine Learning solutions.

Our first priority is to show you proof of what we can do. As such, as a first step we will quickly deliver to you a Proof of Concept. This is a working product with limited functionality, which demonstrates how the solution works.

If the you are happy with the Proof of Concept, we will take on the rest of project, during which we encourage having regular touch-points and progress updates.

Development Process

  • Problem statement
  • Scoping the problem and approach
  • Quick Delivery of a Proof of Concept 
  • Core algorithm development with regular touch points
  • Final delivery
  • Live deployment

What our clients think

‘Rediscovery.io built the core Machine Learning engine behind our product recommendation system for a major client, and did brilliant work in the design of the algorithms behind our ads bidding platform’

DWAYNE MANZANO
Project and Product Manager, FusePump

Do you want to build a innovative Machine Learning solution?

Get in touch and let’s discuss your project.
Contact us

Some of our case studies

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