Clear view of where you stand
Understand your business goals in a digital context and how ready your organisation is for AI.
AI education · Lectures and workshops
Education in Artificial Intelligence: lectures and workshops for decision-makers
Our lectures and workshops help managers and teams understand where AI fits their business before they invest in it. The content comes from the projects we deliver: we build the AI systems we teach about.
- Measure your digital maturity and AI readiness
- Learn how AI and ML work in practical settings
- Methods for innovation and product design
- 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
Why learn AI from practitioners
Good training modules need years of hands-on experience and a deep grasp of the underlying academic concepts.
Concepts separated from hype
We separate the basics of computing from machine-learning algorithms, so participants grasp the fundamental concepts.
Ready-to-use strategies and tools
Every lecture and workshop comes with strategies, materials and tools your teams can apply afterwards.
What we deliver
Lectures and workshops
Topics can be booked individually or combined into a programme for your management team.
- 01
Digital transformation and AI readiness
We clarify the business goals behind going digital, measure digital maturity and AI readiness, and show the right mix of technology and people.
- 02
AI and ML for businesses: introduction
A practical introduction with ready-to-use strategies and materials, showing how AI and ML can improve processes and unlock the value in your data.
- 03
AI for business leaders
A one-day workshop for executives on AI strategy, ethics and implementation.
- 04
Case study sessions
Walk-throughs of data analytics and AI projects our team has delivered across several industries.
- 05
Design thinking
Training in design thinking methods from a team that builds products as well as teaching, for people developing new products with AI.
- 06
Innovation management
Innovation management methods for managers in busy business settings, following the approach of the ISO 56000 series on terminology, tools and methods.
- 07
Remote sensing
A lecture on remote sensing and satellite technology combined with AI and machine learning.
- 08
Data science team training
For technical teams, from data science practice to coding rules. See our tailored AI training programmes.
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
Healthcare · Computer Vision, Deep Learning, Object Detection
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.
Read the case study
Custom LLM chatbot with document references for a consulting firm
In-house LLM no 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.
Personalised content recommendation for a media company
+5% diversity of content consumed by users
A personalised recommendation system that learns each user’s consumption patterns and preferences across diverse media content, helping a media company raise engagement, retention and customer lifetime value.
Pothole detection and road damage assessment for a public body
Automated pothole detection, severity scoring and mapping
A deep learning platform that detects and evaluates potholes and road damage on different types of roads with minimal human intervention, and maps them for maintenance teams.
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
“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 are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
“I would be more than happy to speak to anyone about how much of a rock star you guys are.”
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 is AI education different from your AI training programmes?
AI education is a set of lectures and workshops on specific topics, mostly for managers and decision-makers: AI readiness, digital transformation, innovation and design thinking. Our AI training programmes are customised curricula that build hands-on technical skills in your teams.
Who are the lectures and workshops for?
Businesses that want to integrate AI into their operations, and the managers who have to decide where and how. Technical depth is kept to what participants need to understand how AI and ML work in practical settings.
What does the AI readiness lecture cover?
We help you define the business goals behind your digital transformation, measure your digital maturity and AI readiness, and discuss the mix of technologies and people that will affect your outcomes.
Why would a company outsource AI training?
Building good training modules takes years of experience and a deep understanding of complex academic concepts in AI. Working with a team that delivers AI projects gives your people content grounded in real implementations.
Do you cover topics beyond AI itself?
Yes. We teach design thinking and innovation management, because successful AI products depend on how innovation is developed and managed, not only on the technology.
Can the sessions use examples from our industry?
Our case study sessions draw on data analytics and AI projects delivered across several industries, including healthcare, insurance and real estate. We select the examples that are closest to your business.
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