Enlightenment.AI or EAI helps businesses understand the power of their data.
It does this by developing data strategies together with the CEO's of companies that believe in the power of data but are unsure of what analysis are feasable and would have the greater impact. It also helps companies audit their own existing AI.
The company counts with people who worked with Cambridge and MIT in the beggining of data science adoption, as well as market leaders around the world: Singapore, UK, USA, Portugal and others.
- Artificial Intelligence
- Big Data & BI
Enlightenment.ai Executive Interview
The impact is the driving force of EAI. Our company specializes in data strategy. We help our clients and partners bring a real positive impact through Data Science and Artificial Intelligence on their companies, their people, and the world. As the CEO of a small company, I have to take on different responsibilities, both strategic and operational. In one day I might be refining the company’s objectives and in another, I might be talking to a client.
We started as a typical data science company focused on delivering data science and AI projects of the highest quality. This was a natural evolution from our background: technical people who worked for universities like MIT, market leaders, and even investment funds in places like Singapore and London.
With time, executives gained our trust and instead of just asking us to design and implement data science systems, they started asking us for strategic advice on their data and data-driven products and services. For us, this was like a new beginning, a new start for Enlightenment.ai. After this, we have worked with clients on this particular subject and that was also when I started developing FORCE, our own data strategy methodology.
Sometimes a project is just too large for a team our size to implement in the right time frame. In this case, we take on the leadership of the project and then we work together with a network of reliable, proven experts we had a chance to work with in the past. This way, we manage everything for clients and we guarantee the work will be done with our quality standards.
Because we work with such a variety of customers and projects, the ratio of repetitive clients cannot reflect the diversity of our customer behavior. What we can say is that our data strategy program is a continuous process and that’s where our clients are the most repetitive. As for execution, it varies greatly. Some companies want help with a specific one-time project while others want permanent support. Our longest relationship with a client started in 2018 and hasn’t yet stopped.
We do this at all levels of the company, C-board level, managers, and field-workers. As for observations, we join the company’s professionals for some time during their day-to-day work, in order to better understand their needs, wants, challenges and constraints. We believe that a deep understanding of each company’s context is key to a successful application of technology, such as data science and AI systems.
For single-time projects, there’s an initial payment of 50% at the beginning of the project and 50% upon delivery. For longer relationships, we tend to adapt this to each client, but there’s typically some kind of initial payment and consecutive monthly payments.
We have had multiple prospects turned into clients after they declined our proposal and started working with someone cheaper only to see that project fail. We try to avoid phrases like “I told you so”, but a lot of times, that’s the feeling.
We are, however, lucky enough that clients that take data science and artificial intelligence very seriously and allocate considerable budget for these initiatives. That’s also the reason why they are with us.
To answer your question directly, our budget requirements are a function of three variables: complexity, duration, and how overbooked we are. If there are multiple clients who want to work with us at the same time, the required budget tends to increase.
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Working with Enlightenment.ai
What is it about the company that you appreciate the most?
Efficiency and Strategic Thinking
How starting with Data Strategy saved us thousands of euros.
There are multiple companies in the market that do Data Science but most of them will bill you by the time, so their incentive is for the project to take as much time as possible (billing you more in the process).
Enlightenment AI takes a different approach, they start by doing Data Strategy. I know most people feel the pressure from upper management to get going, but this was totally worth it.
By starting with Data Strategy, we were able to understand which data was important for our specific business case saving thousands even before starting the project.
Once they actually started doing Data Science, we had a Data Roadmap for the whole project. Everyone knew exactly what needed to be done and what was expected. Saving time and money.
It’s my understanding that most Data Science projects fail, now I can understand why, no strategy from the get go.
Would like to thank the team from EAI, definitely recommend them. 5/5.