Research you can build on
In-depth reviews of scientific, academic, business and third-party data give your R&D projects a basis you can use with confidence.
R&D for AI · Research to prototype
Research and Development for Artificial Intelligence from literature to working concepts
We carry out AI research and development that moves your organisation forward and help you shape an R&D strategic plan. Our team has proven research skills and an extensive academic background across multiple disciplines.
- In-depth reviews of the state of the art
- Published papers turned into working implementations
- New concepts for R&D projects that have stalled
- 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 AI research makes possible
Faster scientific discovery
AI helps researchers validate existing hypotheses, generate new ones and take over tasks such as data extraction and literature review.
Stalled projects moving again
Finding patterns in your data opens new focus areas and turns concepts into working results.
What we deliver
Our AI research and development services
Whatever the research area, we bring the skills to put your plans into practice.
- 01
State-of-the-art review
Extensive, in-depth reviews of scientific data, academic literature, business data or third-party research data.
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Original scientific research
Research using data mining, visualisation, analysis, statistics and machine learning to validate hypotheses or develop new ones.
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AI as a research assistant
Automated data extraction, post-market surveillance and literature review that save your researchers time.
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Implementation of published papers
We extract what matters from long, detailed papers, such as the algorithms, and implement it for your use.
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Curated paper collections
We use AI to build a stack of relevant papers and extract the significant information that supports your research.
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Concept development
We find patterns in your data to define new focus areas and materialise concepts for projects that are stuck.
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R&D strategic planning
We help you develop an R&D strategic plan that supports your organisation’s growth.
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Patents and publications
Support for patent projects and scientific publications based on state-of-the-art research.
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, Generative AI
Medical image translation between tissue stains for a pharma company
Reusedone disease classifier across stain reagents
An AI component that translates histological images from one stain domain to another, so existing software and machine learning models can be reused across all reagents.
Read the case study
Eye fat and muscle volume estimation from MRI scans
Automated fat and muscle segmentation in every MRI slice
A deep learning model for an ophthalmology centre that segments fat and muscle tissue in MRI orbit scans, estimates their volume and supports before-and-after comparisons.
Object detection in hyperspectral satellite imagery
10 x 8 px smallest object size recognised
An environmental monitoring solution, developed as part of our social responsibility programme, that detects small objects in hyperspectral satellite imagery with very high accuracy.
Map segmentation for urban zone pricing on a real estate platform
5 classes of land use mapped pixel by pixel
A deep learning system that segments city maps, compares them with historical maps and tracks open land over time to support price assessment of urban zones.
Land degradation and conflict prevalence research for an NGO
74% accuracy predicting conflict occurrence 6 months ahead
Data science research with the humanitarian NGO World Vision, analysing satellite vegetation data (NDVI) and historical conflict records to study how land degradation relates to conflict prevalence.
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. Ivan Tankoyeu CEO 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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Dr. Sergey Sukhanov Advisor PhD in Machine Learning, data scientist since 2013. Publications, patents and 30+ implemented AI use cases; several IEEE awards.
Client reviews
5.0 Rated 5.0 by the people we build for
18 verified reviews on Clutch
“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.
“They are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
“AI Superior responded to all of our needs very carefully and considered them in the project.”
Built AI models and a dashboard for a pilot program that detects waste in drone imagery.
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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Top Artificial Intelligence Company Germany 2026 · Clutch -
Top Machine Learning Company Germany 2026 · Clutch -
Top Computer Vision Company Germany 2026 · Clutch -
Top Generative AI Company Germany 2026 · Clutch -
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
What research areas do you cover?
Our team has an extensive academic background across multiple disciplines, so we support research in many fields. The common thread is the use of AI, machine learning and data analysis.
What sources can a state-of-the-art review include?
Scientific data, academic literature, business data and third-party research data. The result is a reviewed basis you can use with confidence in your R&D projects.
Can you implement methods from a published paper?
Yes. Papers are often long and detailed, while you may need only the most relevant parts, such as the algorithms. We extract what you need and implement it.
How does AI support scientific research?
Through data mining, visualisation, analysis, statistics and machine learning. AI can validate existing hypotheses, suggest new ones and act as a research assistant for data extraction, post-market surveillance and literature review.
Our R&D project has stalled. Can you help?
Yes. We look for patterns in your data that point to new focus areas and help develop concepts that move the project forward.
Do you also help with patents and publications?
Yes. Our SOTA research and patents service supports patent projects and scientific publications.
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.