Patent work to global standards
We oversee research and patent projects based on your input and deliver outcomes that meet the highest scientific standards.
AI consulting · Research and patents
SOTA Research and Patents for patents and scientific publications
We support research, patent and publication projects with state-of-the-art AI, machine learning and data management techniques. Our PhD-level experts combine academic and industrial backgrounds and work to the scientific standards your project must meet.
- AI-supported patent discovery and patent projects
- Research results ready for scientific publication
- Complex data analysed, interpreted and visualised
- 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 SOTA research delivers
Publishable scientific results
Research built on AI and machine learning methods, prepared as scientific publications.
Quantitative, reliable findings
We analyse and interpret many types of data and turn them into clear visualisations your research can rely on.
What we deliver
Our research and patent services
State-of-the-art solutions shaped to your requirements, with a detailed and efficient approach.
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AI for patent discovery
AI and machine learning methods that support your search and analysis in patent discovery.
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Patent project support
Our team assists with and oversees patent projects based on your input, automating much of the process.
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Scientific publications
We carry out AI- and machine learning-based research and prepare the results as scientific publications.
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Data analysis and visualisation
We analyse various data types, interpret the results and create visualisations that communicate them clearly.
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Quantitative research projects
Fast, reliable, quantitative research using AI, machine learning and data management techniques.
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Research across STEM fields
Our research background covers core STEM disciplines and other areas that call for AI, machine learning and data management.
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Research and development
State-of-the-art reviews, original research and implementation of published papers for your R&D programme.
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, Machine Learning
Eye fat and muscle volume estimation from MRI scans
Automatedfat 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.
Read the case study
Eye Metrics: deep learning app for proptosis detection
Automated eyelid and proptosis measurements from facial images
Eye Metrics, a cross-platform application built on deep learning, measures eyelid position and proptosis-related metrics from facial images and supports surgical assessment for healthcare professionals.
Medical image translation between tissue stains for a pharma company
Reused one 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.
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.
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.
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 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.”
“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.
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
What kind of research projects do you support?
Research, patent and scientific publication projects that apply AI, machine learning or data management, across core STEM fields and other areas where these methods are needed.
How can AI help with patents?
AI supports patent discovery and lets us automate much of the process. Our team assists with and oversees patent projects based on your input, aiming for results that meet the best scientific standards.
Who carries out the research?
A team of PhD-level experts with academic and industrial backgrounds. Our leadership team holds publications and patents of its own.
Can you work with our existing research data?
Yes. We analyse many types of data, interpret the results and create data visualisations that support your research and publications.
How is this different from your R&D service?
This service focuses on patents and scientific publications. Our research and development service covers state-of-the-art reviews, original research, implementing published papers and developing new concepts.
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