Practical, hands-on skills
Theory is combined with real-world practice, so participants can tackle the AI challenges that come up in their own work.
AI training · Corporate programmes
Artificial Intelligence Training built around your teams and your data
We design AI training programmes around the problems your company actually needs to solve. Every programme starts with a needs assessment, follows a curriculum written for your industry and ends with hands-on work that your teams can apply straight away.
- Curriculum tailored to your goals and your data
- Hands-on practice on real-world scenarios
- From beginner to advanced technical level
- 57% of our team hold a PhD
- German company, working under the GDPR
Discuss your project
5.0 18 reviews on Clutch Go Global Awards winner
Trusted by enterprises, scale-ups and non-profits
What you gain
What your teams take away
We do not run template courses. Each programme is shaped by your data, your industry and your strategic goals.
Knowledge relevant to your industry
Examples and exercises are validated on actual cases and adapted to your sector, so what is learned applies directly to your business.
Support beyond the classroom
We keep supporting your teams after the training, helping with implementation, integration and the optimisation of data workflows.
What we deliver
Programmes and curriculum
Choose a format, then we build the content around your needs assessment.
- 01
Corporate AI workshop
A fully customised workshop that adapts to the prior AI knowledge of each team, so everyone gets exactly what they need.
- 02
AI for business leaders
A programme for executives on the strategic implications of AI for their industry, to support informed decisions.
- 03
On-demand lectures and workshops
Sessions on specific AI and ML topics that help your teams go deeper and stay current with new developments.
- 04
Foundations of AI
Core concepts and terminology, and why AI matters in today’s business landscape.
- 05
Machine learning in practice
ML theory together with practical application: building different models and extracting insights from large data sets.
- 06
Data preprocessing
Techniques for data quality and feature engineering, so the models your teams build have a solid foundation.
- 07
AI tools and frameworks
Hands-on work with established frameworks such as PyTorch, scikit-learn and TensorFlow.
- 08
Real-world projects
Participants apply what they have learned to actual industry challenges, preparing them for real AI projects.
- 09
Ethical and responsible AI
Bias mitigation, privacy, fairness and transparency in the development and deployment of AI.
Technologies we work with
- PyTorch
- scikit-learn
- TensorFlow
Not sure which of these you need? Describe the problem and we will recommend the approach.
Discuss your projectCase studies
All case studiesResults we delivered for our clients
Professional Services · Generative AI, NLP
Custom LLM chatbot with document references for a consulting firm
In-house LLMno reliance on third-party LLM services
A private, hosted chatbot built on a custom large language model, giving a consulting firm answers with source references while keeping full control over its data.
Read the case study
NLP skill gap analytics for a science and technology company
~10,000 man-hours saved
An interactive NLP tool that assesses employees' skills, compares skill profiles and identifies skill gaps between business-critical staff and their potential successors.
Candidate scoring and matching for an online recruiting platform
800 man-hours of expert scoring saved per month
Automated candidate scoring and candidate-to-company matching for an online recruiting platform, replacing manual assessment of technical skills.
Pill detection and counting for a healthcare technology provider
99.9% precision, recall and F1 across all predictions
A computer vision system that identifies, classifies and counts pharmaceutical pills by National Drug Code (NDC) from photos, replacing error-prone manual counting.
Why AI Superior
Research-grade AI, delivered like a product company
Many vendors can build a demo. Making AI work reliably on real data, inside real business processes, is the hard part, and it needs a different kind of team.
01
A research-led team
AI Superior was founded in 2019 by AI researchers with published papers and patents, and the whole team works to that research standard.
- PhD57%
- MSc28%
- BSc15%
02
Built to reach production
Every project is de-risked in stages, with a go/no-go decision at each milestone, so budget only goes into approaches that have worked on your data.
4× our proof-of-concept success rate compared with the market average
03
A complete team from day one
Strategy, models and software are designed by one team, so nothing gets lost in hand-overs between vendors.
- Product AI product owner, business analyst, project manager
- Data Data scientists, ML engineers, BI analyst
- Development Software engineers, QA, DevOps
04
Your data stays under control
When data must not leave your organisation, we build on private, self-hosted models instead of third-party AI services.
- GDPR, German company
- Self-hosted LLMs
- Transparent methods
Our team
The experts behind your project
Your project is led by senior data scientists and engineers with research backgrounds, supported by our product and development teams.
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Dr. Sergey Sukhanov Chief Data Scientist PhD in Machine Learning, data scientist since 2013. Publications, patents and 30+ implemented AI use cases; several IEEE awards.
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Dr. Ivan Tankoyeu Chief Data Officer PhD in Computer Science. Recognised by the IEEE GRSS Society, winner of the Global AI Hackathon 2017, Kaggle TOP500 data scientist (2014).
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Sergio Frayle, M.Sc. Lead Data Scientist Master’s in AI, Pattern Recognition and Digital Imaging; 7+ years in image processing and computer vision, with publications.
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Enrique Fernández, M.Sc. Senior ML Expert Master’s in Robotics and Mechatronics; builds and deploys complex AI solutions, particularly in computer vision and NLP.
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Peter Luck, M.Sc. AI Consultant Master’s in Business Engineering and Computer Science; product and project manager for machine-learning products.
Client reviews
5.0 Rated 5.0 by the people we build for
18 verified reviews on Clutch
“They are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
“I appreciate their approach, expertise, and the quality of information they provide.”
AI and machine learning consulting to identify the right use cases for a web design and graphics company.
“They delivered an extra module that we were not expecting but turned out to be very useful.”
Research and custom software development applying generative adversarial networks for a pharmaceutical company with 5,000+ employees.
How we work
A staged AI project life cycle
Every stage ends with a result you can check, and you decide on the next one only after seeing the previous one work. You keep control of scope and budget.
- Estimate before you commitYou see scope and expected results before the build begins.
- Go/no-go after every stageEach stage ends with a result you can check and a decision on the next step.
- Risks reported openlyWe share risks and opportunities as soon as the analysis shows them.
- Go / no-go decision
Discovery
We work through the business problem with your team and define the direction of the solution.
You get: Scope, approach and a high-level estimate of effort and expected results
- Go / no-go decision
Data and feasibility
We get to know your team and data and check whether AI is the right tool for this problem.
You get: A data assessment and a clear feasibility verdict before any build starts
- Go / no-go decision
Proof of concept / MVP
We start small, using the data already available, to test the solution in practice.
You get: Measured results on your own data and a basis for the investment decision
- Go / no-go decision
Integration and scaling
We integrate the solution into your existing systems, fine-tune the models and adjust them where needed.
You get: A solution running inside your processes, compatible with your data and systems
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Evaluation
We review the results with you and make sure they are read correctly.
You get: What the solution delivered and where to improve next
Awards and recognition
Ranked among the top AI companies
Recognised by international business awards and by independent B2B platforms that rank companies on verified client reviews.
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Go Global Awards Winner 2021 · International Trade Council -
Best Data Science & AI Service Provider, Europe 2021 · German Business Awards -
Top Artificial Intelligence Company 2023 · Clutch -
Top Machine Learning Company 2023 · Clutch -
Clutch Champion Fall 2023 · Clutch -
Clutch Global Fall 2023 · Clutch -
Top BI & Big Data Company Germany 2023 · Clutch -
Top IT Services Company Germany 2023 · Clutch -
Top Artificial Intelligence Companies 2023 · TrueFirms -
Top Machine Learning Companies 2021 · Techreviewer -
Most Reviewed IT Services Companies Germany · The Manifest
How do you tailor a training programme to our company?
We start with a needs assessment to understand the problem you want to solve and give you a high-level estimate of scope and expected outcomes. We then customise the curriculum, from advanced machine learning algorithms to specific AI applications in your industry, and build in real-world scenarios and case studies from your domain.
Which topics can the training cover?
Machine learning, neural networks, natural language processing, computer vision, data preprocessing, model evaluation and deployment strategies. Participants work hands-on with common AI frameworks and tools and apply the techniques to real-world scenarios.
Do participants need prior AI knowledge?
No. We offer introductory programmes that build a solid foundation and advanced programmes for people with prior AI experience. For some advanced courses a basic understanding of programming and data analysis helps.
Who in our organisation should attend?
Both technical and non-technical staff. Developers, engineers and data scientists deepen their knowledge of algorithms, tools and techniques. Executives, product managers, analysts, marketers and customer service teams learn what AI can and cannot do, so they work better with technical teams and make better-informed decisions.
How is the training delivered?
On-site, virtually or as a hybrid, depending on what suits your team. Self-paced online courses and in-person sessions for a more interactive experience are also available.
How long does a programme take?
It depends on the course. We offer short intensive programmes and longer comprehensive ones, and we adapt the duration to your needs, timeframe and desired outcomes.
Do participants receive a certificate?
Yes. Participants who successfully complete a programme receive a certificate of completion.
Who are the instructors?
The training is guided by PhD-level data scientists and AI practitioners from our own team, who combine a deep theoretical understanding with practical project experience.
Start your project
Tell us what you want AI to do for your business
Share a few details and our AI team will take it from there. Here is what happens next:
- We review your request and reply by email.
- A call with an AI expert to understand your problem, data and goals.
- A clear recommendation: the approach we suggest and a high-level estimate.
Prefer to pick a time yourself?
Schedule a call