Competencies validated by practitioners
Candidates are interviewed and assessed by data scientists who know the tools and practices used in the industry.
AI consulting · Team building
Creation of In-house Data Science Team, planned, hired and onboarded
Skilled data scientists are scarce, and hiring them well means knowing the market, the tools and practices in use, and how to validate key competencies. We run the whole process for you, from planning and hiring requirements to interviews, assessment and onboarding.
- A data department strategy and team plan
- Job descriptions and interview tasks that test skills
- Candidates assessed for competence and cultural fit
- 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 you gain from expert-led hiring
A team that fits your organisation
We verify cultural fit alongside technical skills and help with onboarding, so new hires become productive members of your team.
Scale up or start from scratch
Whether you are extending a current team or building a data science department from zero, we execute every step required.
What we deliver
What we offer for your in-house team
Take the full process or the steps where you need support.
- 01
Data department strategy
We define the strategy for your data department and how it supports your business goals.
- 02
Team structure and roles
We help structure your organisation, set up processes and define the roles your teams need to develop data science and AI solutions efficiently.
- 03
Planning and hiring requirements
We plan the team with you and set the hiring requirements for each role.
- 04
Job descriptions and interview tasks
We write job descriptions and design interview tasks that test the competencies each role actually needs.
- 05
Interviews and candidate evaluation
We conduct interviews and evaluate candidate performance, so you hire on validated skills.
- 06
Cultural fit
We verify that candidates fit the way your organisation works, not only the technical profile.
- 07
Onboarding support
We help with the onboarding process so new team members get up to speed quickly.
- 08
Training and data-driven culture
Workshops and training programmes build practical AI skills and a data-driven mindset across the wider organisation.
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
Finance · Machine Learning
Credit scoring model for an SME lending company
800+features from 14 data sources
A machine learning model that predicts borrower default and fully automates underwriting, improving loan portfolio quality and cutting decision time from hours to a fraction of a minute.
Read the case study
Player churn prediction for an online gaming platform
11.3% churn rate after new retention strategies
A machine learning model that learns player behaviour during the game and predicts the probability of churn over a given time horizon, so the platform can apply the most relevant retention strategy.
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.
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, takes a different kind of team. This is what you get with us.
01
Scientists, not generalists
AI Superior was founded in 2019 by AI researchers with published papers and patents. That depth runs through the whole team.
- 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 goes only into solutions proven 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 together, not handed over between separate 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.”
“AI Superior showed a strong commitment to delivering high-quality solutions to us.”
Improves and maintains the data infrastructure of a credit solutions company: data pipelines, ML models and custom reports.
How we work
A proven AI project life cycle
Every stage ends with a result you can check. You never commit to the next stage before seeing the previous one work, so scope, budget and risk stay under your control.
- 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
Together we evaluate the results of the implementation and make sure they are interpreted correctly.
You get: A clear picture of the value 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
Why get outside help to build a data science team?
Skilled data scientists are in short supply, and hiring them well requires an understanding of the market, the tools and practices used in the industry, and how to validate key competencies. Our data scientists bring that knowledge to your hiring process.
Which parts of the process do you take on?
All of them if needed: data department strategy, planning and hiring requirements, job descriptions and interview tasks, interviews and candidate evaluation, cultural fit and onboarding. You can also choose only the steps where you need support.
Can you help extend an existing team?
Yes. We help companies quickly scale up a current team as well as build a data science team from scratch.
How do you assess candidates?
With interview tasks designed for the specific role, structured interviews and an evaluation of each candidate’s performance, combined with a check of cultural fit.
Can you help decide which roles we need?
Yes. We help structure your AI resources, define roles and processes, and set hiring requirements based on the data science and AI work your team will do.
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