

The focus is turning data an organization already has into something people can use, governed and secured from the start.
Data & Analytics work is delivered through Katalyst Custom™, KitelyTech's fully engineered, validated build process; a fully built data platform or governance framework doesn't have a fixed-scope fast-track. If the need is narrower (preparing a single data source for use by an AI agent), that's covered under Data Integration & Structuring in Katalyst Launchpad™ instead. The distinction: Data Integration & Structuring prepares one data source for one agent's use; Data Science & Applied Modeling builds the broader statistical or machine learning work that a data platform itself depends on.
Data Governance & Security is one of three security-adjacent disciplines covered in depth at KitelyTech's Security, Compliance & Governance hub, alongside Cloud/Infrastructure Security and AI Governance & Model Security.
The team at Kitley became engaged immediately. The level of communication was excellent at every stage. They laid out exactly what they intended to do and explained to our team exactly the manner in which the task was to be executed.
Jason at Kitely has helped us with work around several fund raisers and several on-going projects. His knowledge, adaptability, and suggestions for improving upon some of our processes has been invaluable. The quality of work has been impeccable, but most importantly Jason is just really easy to work with....couldn't recommend Kitely more highly.
I very much enjoyed working with Kitely, they were able to assess the project easily and move it along in a timely and efficient fashion with a great final product. Would definitely recommend!
As soon as I talked with one of their team members, their zest and passion became evident. I saw the excellence that their team brought to the table.
They didn’t bill me enough for the quality of their work.
In terms of project management, I thought they did a fantastic job. There were several times when we reached out with a wide range of requests or questions, and they got back to us with answers pretty quickly. The whole speed of the project was good.
I made it clear that we needed this project done in six weeks and they were able to accomplish it in five.
What made the most difference in practice was the quality of the engineering judgment on this team. Not the ability to execute a specification — that is a baseline expectation. The ability to recognise when a specification was suboptimal, explain why, propose an alternative, and support the client in making a decision about it. That consultative dimension elevated the output beyond what the brief described and resulted in a product that is more fit for purpose than the one we had originally specified.
KitelyTech was able to go above and beyond. I wanted changes to the product in the middle of development, which their team made while staying within my budget.
Our project manager did an unbelievable job of partnering with us and making sure that Kitely met our unique needs every step of the way. Our experience could not have been easier and we could not be happier with our new app!!
Ocean floor data platform and 3D mapping

The ocean floor is mapped in fragments, by instruments that produce enormous, inconsistent datasets. The organization had the data and no way to organize, analyze, or show it.
Integration of 3D mapping with a customer dashboard and data visualization tools, turning raw survey data into interactive maps of the ocean floor and setting up the platform to grow into a full data-as-a-service model.
Machine learning for customer contact timing

The bank's outreach contacted customers at times chosen by the caller's schedule, not the customer's likelihood of answering.
A custom machine learning algorithm that predicts the top three times to contact each client, built with statistical rigor the domain deserves: Kolmogorov-Smirnov and Chi-squared testing, drift management as the customer base changes, architecture that scales with the bank's growth, and monitoring with retraining to hold accuracy over time. Productivity and sales rose measurably.
Multilingual ML search across SharePoint

An enterprise knowledge base on Microsoft SharePoint held the answers and hid them, across languages and formats.
Machine learning powered multilingual search across the SharePoint estate, with document recognition that brings scanned and image files into the index alongside native documents, cutting document management time and making the knowledge base earn its name. One engagement, delivered for a global digital transformation company.
