Higher, more consistent quality
Automated classification, detection and tracking catch defects and deviations that manual inspection misses, and apply the same standard to every image.
Computer vision · Image and video analysis
Computer Vision Services that turn images into decisions
We build computer vision systems that find actionable information in image and video data. Tasks that take people hours of looking, image after image, run in seconds and at a consistent standard. We scope the problem with you, develop a custom model and integrate it with your existing infrastructure.
- Image analysis tasks automated in seconds, not hours
- Custom models built around your data and process
- Integrated with your systems and maintained after launch
- 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 computer vision changes for your business
Computer vision pays off where people currently inspect, count, sort or read visual material by hand.
Lower cost of manual work
Automated segmentation, data extraction and image labelling take repetitive work off your teams, reduce errors and let people focus on tasks that need judgement.
Insight into behaviour and operations
Video analysis and image recognition show how customers, vehicles and crowds move, so you can refine layouts, staffing and marketing on evidence.
What we deliver
Our computer vision capabilities
We cover the full path from consulting and development to integration and maintenance, across these core techniques.
- 01
Image recognition, classification and segmentation
Models that identify what an image shows, sort it into categories and separate it into regions, from anomaly detection to counting and inspection.
- 02
Object detection, tracking and labelling
Automatically detect, label and follow objects across video and image series for inventory management, vehicle tracking and security monitoring.
- 03
Advanced video analysis
Real-time analysis of video streams to detect trends, anomalies and patterns, plus automated video tagging, movement monitoring and video summarisation.
- 04
Optical character recognition
Extract printed and handwritten text from documents, images and video for document digitisation, content indexing and automated data entry.
- 05
Visual search
Image recognition models that find products or similar images in large databases, powering catalogues, search and recommendation engines.
- 06
Pose estimation
Deep learning that estimates human poses from images and video to improve ergonomics in manufacturing, retail store layouts and fitness tracking.
- 07
Face recognition and biometrics
Analysis of facial features for identity verification and access control, and development of biometric products.
- 08
Image annotation and measurement
Annotate key features and measurements on images, such as distances between facial landmarks, so they can be analysed and compared.
- 09
Image generation and custom GANs
Generative adversarial networks and text-to-image systems that create synthetic images, upscale them, restore missing parts and augment training data.
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
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.
Real-time graffiti detection and mapping for a municipality
Real-time graffiti detection with GPS location
A deep learning system that detects and locates graffiti across a city in real time, so cleaning teams can find, prioritise and remove it faster.
Roof detection and segmentation for a solar energy company
Automated roof detection and roof plane segmentation
Deep learning models that detect residential roofs in satellite images, segment them into distinct planes and estimate the area and dimensions of each, so solar panel installations can be planned efficiently.
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.
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 successfully fulfilled every component of the project and exceeded our expectations.”
Built an AI model that analyzes the roofs of residential and commercial properties, including data collection and labeling. All key deliverables were completed on time.
“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.
“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
Use cases by industry
Where our computer vision makes an impact
Examples of the problems computer vision solves in each sector.
Healthcare and medicine
Computer vision supports patient care and research through medical image analysis, remote patient monitoring and drug discovery.
- Faster disease diagnosis
- Remote patient monitoring
- Automated cell identification
- Facial patient authentication
- Supervision of patient exercise routines
- Automated biopsy, urine and blood sample analysis
Retail and e-commerce
Better customer experiences and leaner operations through inventory management, visual try-on, visual search and customer behaviour analysis.
- Inventory optimisation
- Customer behaviour analysis for personalised marketing
- Virtual try-on and visual search
- Shelf occupancy tracking and product placement
- Real-time alerts on suspicious behaviour
Manufacturing
Efficiency and quality control through production line monitoring, defect detection and predictive maintenance.
- Production line monitoring
- Predictive maintenance to prevent downtime
- Automated visual inspection and quality control
- Safer working environments
Facility management
Image processing and deep learning analyse video and images of public spaces to give insight into how buildings are used.
- Leak detection for preventive maintenance
- Space optimisation
- Visitor tracking for resource and security management
- Vehicle and crowd movement monitoring
Agriculture and food production
Crop monitoring, pest detection and quality inspection help improve yield, protect crops and keep food safe.
- Soil and plant growth monitoring
- Automated food quality control
- Early pest detection
- Crop monitoring to optimise cultivation
Security
Surveillance systems that automatically detect objects and people of interest support security operations and public safety.
- Anomaly detection for early threat detection
- Object tracking for monitoring
- Facial recognition for identity verification
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
How can computer vision benefit our business?
It automates image analysis tasks such as classification, detection and tracking, which improves product quality. Automated segmentation, extraction and labelling reduce costs and errors. Surveillance applications strengthen security, and image recognition helps you understand customer behaviour and preferences.
Do you build custom solutions or use off-the-shelf products?
We build custom solutions. Off-the-shelf computer vision products often lack the features a specific process needs or cost more than they return. We start with detailed discussions about your goals and challenges, then develop a solution that fits them.
What does a computer vision project involve?
We gather your requirements, then collect and prepare the data for training and testing. Next we design and train the model and evaluate its accuracy. Once it performs as required, we integrate it into your existing infrastructure and provide ongoing support, maintenance and updates.
Can you help if we are not sure computer vision fits our problem?
Yes. Our computer vision consulting starts by understanding your needs, determining whether and how computer vision can help you reach your goals, and agreeing a strategy for implementing it before any development begins.
Can the system work with video as well as still images?
Yes. We analyse video streams in real time to detect trends, anomalies and patterns, and build applications such as object tracking, movement monitoring, automated video tagging and video summarisation.
How do you protect the privacy and security of image data?
We use encryption and access control and follow strict data-handling practices, including GDPR requirements. Where people appear in images but are not the subject of analysis, privacy can be designed in, as in our workplace hygiene project, where images containing people are dropped before processing.
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.