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Motivity Labs
AI & ML

AI and machine learning services

Machine learning, data science and artificial intelligence applied to a wide range of problems, by a team that has shipped them before.

Deliver personalised customer experiences, automate internal processes, and put decisions on a footing of enriched data insight and predictive models.

Models in production

FeaturesModelDecision
300+

Projects

550+

Experts

50+

Clients

10

Countries served

96%

Client retention

A model is only useful once it is making a decision.

Our AI and ML consulting starts from the decision you want to improve and works back to the data and the model that can move it — rather than starting from a technique and looking for somewhere to apply it.

What we build

Six ways a model earns its keep.

01

Machine learning

Predictive models trained on your own data, built to be retrained as that data moves rather than to be right once.

02

Data mining

Finding the patterns and relationships already sitting in your data, and turning them into something a business can act on.

03

Data-driven IoT

Telemetry from connected devices turned into signals — condition, usage and failure — that reach a system in time to matter.

04

Chatbot development

Conversational interfaces that resolve the request rather than routing it, and hand over cleanly when they cannot.

05

Natural language processing

Extraction, classification and summarisation over the documents, tickets and transcripts your business already generates.

06

Image processing

Detection, classification and inspection on images and video, where a human pass would be too slow or too inconsistent.

Our approach

Four phases, from assessment to operationalisation.

We start from the decision you want to improve and work back to the data and the model that can move it.

01

Current state assessment

  • Identify existing models and analytics activity
  • Define the definition of churn
  • Identify the KPIs to be measured
02

Hypothesis map

  • Formulate business and intuitive hypotheses
  • Agree on the analytical output
03

Value-added insights

  • Data exploration, to understand the nuance of the data
  • Hypothesis validation
  • Continuous delivery
04

Modelling

  • Data science modelling
  • Executive story boarding
  • Pilot assessment and operationalisation plans
Tools & technologies

The stack our models are built on.

TensorFlow
Python
Keras
Elastic
Azure Cognitive Services
Microsoft Azure
Amazon SageMaker
SAS
Spring Framework
Industries we serve

Where these models are already running.

Talk to us about a model

Whether you have a decision you want to improve, a pile of data nobody has mined yet, or a pilot that never made it to production, our data scientists will walk the problem with you before anyone proposes a technique.