Co-founder | CEO
Founder of Machine Learning companies Enjins & Deeploy. Previous roles in data and financial consulting at VODW, WTW and EscolherSeguro. BSc Econometrics @University Maastricht, MSc Quantitative Finance @Erasmus.
The potential of Machine Learning for our society is huge. We see more and more impactful ML applications, ranging from governments and healthcare to tech and banks.
On the other hand, we become more aware of the risks and demand explainability and accountability of complex models. Interaction between humans and models is crucial to make ML projects a success, meaning humans understand and give feedback on models.
We believe we can live up to the promise of ML while keeping models explainable and accountable. Deeploy enables human involvement with models, making sure everyone can understand, control and interact with Machine Learning.
Bastiaan van de Rakt
Co-founder | CCO
20+ years entrepreneurial experience in Machine Learning / data science as CEO and CTO, 10+ years experience in strategic AI consultancy, (Co-)Founder of 4 tech companies, Advisor and Investor in Multiple Tech Companies, M.Sc System Engineering @TU Delft
Machine learning is becoming a commodity, but many people don’t understand why and how this commodity works. Without explainable or reproducible models, Machine Learning will never be trusted or used. At Deeploy we create constant human involvement in Machine Learning to ensure explainability and reproducible results.
Co-founder | CTO
- 5+ years Lead Machine Learning & Product owner for multiple tech teams
- 5+ years ML tech consultancy for corporates and scale-ups
- MLOps & ML Engineering Specialist
- M.Sc Information Systems (IEIS) – TU Eindhoven
I see many concerns in ML deployments that cause a bit of a negative sentiment around AI/ML, let’s look at what we can do and how! I believe that explainable AI (XAI) is a crucial development that every model deployment can benefit from. Especially to make human (expert) involvement possible. With Deeploy we want to build the foundation to make ML deployments truly accountable, so every Data Scientist can make reliable, thoughtful deployments and involve the right domain experts.
Co-founder | CMO
Founder of Machine Learning companies Enjins & Deeploy. 8+ years of ML implementation experience at scale-ups & corporates. Previous roles at VODW, KLM and Isobar. MSc Econometrics @ RuG.
Talking about concepts like “Explainability”, “Accountability” or “Ethics” in AI or ML is something that many people do nowadays. But building a technical solution that actually supports companies in realizing those concepts in their day-to-day ML operations is not. Throughout the years, I have seen that the ML model itself is not the true challenge. It is the technical and organizational challenge of implementing a model into production and keeping it there. That’s why I co-founded and believe in Deeploy.
Head of Business Development
3 years experience in Strategy Consulting, 5 years experience in Mobility & Supply Chain Management, M.Sc Business Development @ Ludwig Maximilian University Munich
Machine learning is disrupting not only the mobility sector but entire industries. And yet, transparency, accountability, and trust present an enormous challenge for companies. Often harming adaptation and leading to missed business opportunities. To solve those challenges, we at Deeploy strive to ensure explainability for every model prediction with human involvement in the center. Creating transparency and trust in AI.
Business Development Intern
Hello! I am Nipun and I work as a Business Development intern at Deeploy. I am a recent graduate with a BSc. in Business Administration from the Rotterdam School of Management, Erasmus University. My previous experience was at The Next Web – a technical consultancy firm based in Amsterdam, as a Startup Scout. I have also worked in a startup sales environment in Barcelona where I worked at a database monetization firm.
I chose Deeploy primarily due to Artificial Intelligence being an exciting industry that has been- and continues to be taking the world by storm by constantly providing new possibilities that were deemed impossible at some point in the past. Deeploy adds a layer of transparency through XAI which provides for a seamless ML experience with human accountability – further polishing the technology and making it future-proof when it comes to commercialization. In addition to this, the fun, helpful, and dynamic team at Deeploy makes it even better to work here!
- 4+ years in Sales & Account management
- Founded his event-company in 2019
- Recently graduated from his traineeship in Growth Hacking
I am excited to have the opportunity to start as a Growth Marketer in a landscape that starts to evolve massively. Operating in a fast-paced environment where companies make sure that AI/ML is deployed in a responsible, explainable and transparent way. I believe that explainable AI (XAI) is a crucial development that enables high-risk industries to further develop innovation, be efficient, and at the same time take responsibility for their AI Models. We believe that a human-centric approach with a continuous feedback loop will set the foundation of making ML deployments truly accountable and explicable. Providing Machine Learning Engineers to make reliable, thoughtful deployments and in the end involve the right domain experts.
Digital Marketing Intern
Graduated with a Bachelor’s in Marketing and currently working towards a Master’s degree in Data-Driven Marketing at NOVA University in Lisbon. Moved to Amsterdam to intern as a Brand Management Intern at JDE Douwe Egberts and now I am pursuing this exciting opportunity at Deeploy.
Deeploy is the perfect challenge! A growing company with an exciting proposition, at the forefront of the ever-important field of Machine Learning and AI. As a soon to be Marketing graduate, the opportunity to contribute to Deeploy’s growth as a company is invaluable and an experience that I am very excited for.
Market Analyst at Deeploy, currently following a Master’s Degree in Finance at Vrije Universiteit Amsterdam.
Machine Learning was completely new to me but soon it became very interesting. The Machine Learning market is very unique and has huge potential. What Deeploy adds to the Machine Learning market is very positive and inspiring. Also, the young, passionate, and ambitious team makes me want to work for Deeploy.
Robbert van der Gugten
Backend Engineer @Deeploy and have a background in Data Science and MLOps. I’ve worked for almost 6 years as a consultant for most big corporations.
By joining Deeploy I am able to build a machine-learning platform as a core product. I support Deeploy’s vision and enjoy the dynamic work environment. Looking forward to flawless releases, happy customers, and fun with coworkers.
Software Engineer @Deeploy. Graduated with a Bachelor in Software Engineering @HvA. Previous internship & part-time client-side programmer @PXL.Widgets
For me, Deeploy is both challenging and rewarding, while also having a social impact. I get the freedom to apply my creativity while focusing on the best coding and process practices. Apart from being professional, the team cares for one another and spends time together to get to know each other more, which is something I value a lot.
I am a second-year master’s student at TU Delft. Scalable, conversational, and explainable AI systems with Human in the Loop are my main areas of interest. After completing my engineering bachelor’s degree back in India, I worked as a software developer for a few years. I want to use technology to address important global concerns. I adore idea invention challenges and hackathons. Deeploy is a perfect place for my interests. Deeploy’s software product addresses critical AI challenges such as explainability and scalability. I also get to be a part of a vibrant startup team, which is a great atmosphere for my professional development. I spend my leisure time either visiting new places or playing Age of Empires, one of my favorite strategy games.
I think Deeploy is an exciting company in an interesting field and stage! There is a lot of potential for us to become a key player in the market and there is still a lot to learn and develop.
Design & Implementation Engineer
Previously Risk intern @ EY and Graduate Intern at Deeploy. MSc Complex Systems Engineering and Management @TU Delft
During my graduation internship at Deeploy I got excited about the company and the product. I am happy to stay and be part of Deeploy’s journey together with this great team of young, ambitious people. I am looking forward to contribute to responsibly integrating AI/ML in companies, while learning a lot.
Design & Implementation Engineer
- Previously student AI developer @ Bit
- MSc Artificial Intelligence
- BSc Cognitive Science
I wanted to work with a company that did not just strive to create cool ML models but rather understood the importance of doing it right and the impact of AI on society and relevant stakeholders. I also wanted a role that combined technical understanding and development with analysis of societal and organizational factors to ensure successful AI development and deployment. When I found the job of Design & Implementation Engineer at Deeploy I realized it had both of those parts, making it essentially my dream job. Luckily Deeploy also considered me a good fit 🙂
Graduate Research Intern
Currently graduating with a Masters in Data Science and AI at TU Eindhoven. Previous experiences in Explainable AI, ML Engineering, and Data Engineering.
I want to bring exciting cutting-edge projects to practice and Deeploy is the perfect company to do that! As I want to investigate how explainability can be utilized to assess the fairness of ML, Deeploy’s expertise in Explainability is indispensable for a project that would be used in industry. I hope to learn a lot about industry practices and develop not only as a researcher but also as an ML engineer.
Previously UX research intern at ING. BSc Information Science and MSc Business Informatics from Utrecht University.
Working at Deeploy is the perfect opportunity for me; I get to apply my knowledge of design for ML to a product with core values that align very closely with my own vision for the future of ML. On top of that, I get to work in a tight-knit, passionate team that I can learn so much from.