Single Source of Truth
Our mission is to empower businesses to harness the power of AI to enhance performance and unlock innovation.
GOAL
TIMESPAN
PROCESS
OUTCOME
GOAL
to obtain a comprehensive understanding of the degree to which your internal data is prepared to begin producing superior AI capabilities. How do I get here, and what is the priority?
PROCESS
To look over your internal data and surrounding infrastructure, we begin with a kickoff meeting. After that, our staff must crunch the data.
We conduct the exam over the course of four weeks, using a top-down methodology to address each of these important topics one at a time:
- Which top systems are available on the market to provide superior AI capabilities both now and in the future?
- What implications does this have for technical architecture, organisation, and data requirements?
- Do your current technical infrastructure, data, and data structure meet these requirements?
- What are the procedures to prepare this and where are the gaps?
Which of these steps should be prioritised in order to find the quickest route to high-quality AI capabilities?
OUTCOME
a thorough evaluation of the obstacles, tasks, and resources in your internal data to enable superior AI and a prioritised plan to get your data in order.
Our AI Readiness Assessment is the starting point here, to clearly identify a roadmap to get your data in shape for the best AI models available today. We execute this roadmap with our engineering team and start to build the full infrastructure to collect, clean, transform, embed your data and to offer this in an AI Content Store.
This AI Content Store is an easy to use database that contains all your data transformed for AI, ready to use by your developers to build amazing AI applications. We also create the integrations with leading AI model vendors, so your teams have flexibility of choice and no lock-in.
Typically we enable and educate internal teams to work with the AI Content Store to build great AI applications at a rapid pace. We know most companies have great development teams that have a deep domain knowledge and it’s our focus to get them access to the data as soon as possible. But depending on the setup of your team, we can advise your team on new AI UX paradigms or even develop the application or prototype.
To enable your teams to rapidly build high quality AI applications.
A complete AI infrastructure that runs in your cloud, automatically processes new incoming data, integrates with model vendors and offers your team the central heart of AI development.
12 weeks
AI Quality Framework
PROCESS
There are many ways to improve the performance of AI applications. But in most cases, your biggest lever is iterating on the input side. To get the quality of AI generated output to a great level, iterations are needed to optimize how your data is embedded and offered to different models. But first the question comes; how do you define quality?We have developed a framework to measure how your AI is performing. Using tangible and feasible KPIs that are possible to implement and run on an automated basis.
GOAL
To offer you the KPIs and tools to measure and improve the quality of your AI.
OUTCOME
AI Quality Measurement built into your infrastructure and visualized for internal teams, to start making improvements and understand what works best to invest in the right direction.
TIMESPAN
8 weeks
