Your solution in 7 weeks

Rapid prototyping and delivery of ideas from the Keen AI solutions factory.

The ability to create deep learning models isn’t enough to create or unlock value in your organisation. To really make a difference you must understand the business objectives behind a process and then tailor a solution which delivers them through the use of AI and Machine Learning.

Using the KAI-V platform and our Onboarding Process, we work with you to understand how a process can be improved through Machine Learning, develop models and then a method for embedding them in the process using web apps or APIs.

Click to Learn about our Onboarding Process

Project failures arise for a number of key reasons:

  • Loosely defined objectives and scope.
  • Following a waterfall rather than an iterative approach. A waterfall model can work for IT projects but is much less effective with data science.
  • Not recognising that advanced analytics is often a creative process, better suited to small, highly skilled teams rather than large consultancies.
  • Internal IS policies making it difficult to explore and deploy technologies and platforms quickly enough in order to meet the requirements of the project.
  • Seeking to shoe-horn into proprietary platforms which look great but need considerable re-engineering to actually solve the problem.

Business outcomes in 49 days. Guaranteed

Within 7 weeks, we guarantee functional, usable business outcomes rather than a set of technical deliverables which may not deliver the intended benefits.

We put time in the box

We ensure success by deliberately time-boxing a project into five weeks, agreeing deliverables, resourcing, data availability and platforms before project kick-off.

Once the project starts there are no distractions by lack of access to systems, resources or data for example. These types of delays can be costly if they occur after a project team has been deployed.

Onboarding Approach

Understand & Create

  • Define the problem
  • Agree solution
  • Explore data availability
  • Set mutual expectations

Prototype

  • Rapid prototyping
  • Known mathematical techniques
  • No IT delay

Deploy

  • Make available to users
  • Does it work?
  • How can we improve?
  • Physical deliverables

Iterate

  • Learn & build improvements
  • Deploy more widely
  • API

Usable outputs

As part of our Understand & Navigate phase, we agree how you will be able to use the results of the project in your organisation. This could be via Web Apps, APIs for internal systems to connect to or coaching and handing over what we’ve created to your internal Data Scientists.

Small team, highly skilled

We keep our project teams deliberately small. This helps ease communication, and ensures clear lines of responsibility with no overlap.

On-demand cloud analytics

To accelerate delivery further, a project can be supported by our cloud platform with visualisation, modelling, machine learning, data connectors and processing libraries pre-built. Hosted in Amazon Web Services or Microsoft Azure for security.

It's a partnership

Success isn’t delivered in isolation. There will be significant demands on you to provide access to business users, knowledgable employees as well as access to data and the support required to interpret it correctly. This will be defined and agreed during the initial stage.