Automate repetitive work
Hand routine tasks to AI to reduce human error, keep quality consistent and free your teams for work that needs their judgement.
AI consulting · Strategy to production
We help companies find the AI use cases that pay off, check whether their data can support them, and build a roadmap their teams can execute. Our consultants are data scientists who also build the systems they recommend.

















We focus on the processes where AI changes the numbers, not on technology for its own sake.
Hand routine tasks to AI to reduce human error, keep quality consistent and free your teams for work that needs their judgement.
Models that find patterns in unstructured data flag risk factors early, so you can act before they turn into losses.
Turn large volumes of data into real-time insights, trends and predictions that managers can act on.
From the first assessment to an organisation that runs AI on its own: pick the part you need or the full path.
We find, assess and prioritise where data science, machine learning and AI can bring the greatest value to your business.
We analyse your current situation, agree on a target vision with you and turn it into a step-by-step strategic roadmap.
We design and evaluate data architectures that let you handle, audit and clean your data efficiently.
We help you choose and adopt the data science and AI tools that fit your use cases and your existing stack.
We identify inefficient processes and design AI-based solutions that automate and improve them.
We set up governance structures that reduce the risks of your AI solutions, improve data quality and support regulatory compliance.
We plan your team structure, define roles and hiring requirements, write job descriptions and help interview and evaluate candidates.
We adapt processes and structures to new AI solutions and help address resistance, so the technology is actually used.
We carry out cutting-edge research with you and support patent filings and scientific publications.
Workshops and training programmes that build a data-driven mindset and practical AI skills across your organisation.
Not sure which of these you need? Describe the problem and we will recommend the approach.
Discuss your project
1 weekof analyst work saved per new niche market
An end-to-end NLP solution that lets private equity funds and venture capital firms find and cluster relevant companies by meaning rather than by industry code or keyword.
Read the case study
Per trip driving score and personal discount
A deep learning model that analyses telematic data from drivers’ phones to detect driving behaviour, score each trip and calculate personalised discounts and safe-driving recommendations.
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.
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.
1M+ real estate items analysed to train the model
A machine learning tool that estimates property prices, monitors market trends and finds attractive offers, which guided around €20 million of real estate investments.
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.
AI Superior was founded in 2019 by AI researchers with published papers and patents, and the whole team works to that research standard.
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.
Strategy, models and software are designed by one team, so nothing gets lost in hand-overs between vendors.
When data must not leave your organisation, we build on private, self-hosted models instead of third-party AI services.
Your project is led by senior data scientists and engineers with research backgrounds, supported by our product and development teams.
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).
Dr. Sergey Sukhanov Advisor PhD in Machine Learning, data scientist since 2013. Publications, patents and 30+ implemented AI use cases; several IEEE awards.
“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.
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.
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
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
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
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
We review the results with you and make sure they are read correctly.
You get: What the solution delivered and where to improve next
Examples of the use cases we assess and implement with clients in each sector.
AI and data science are central to the digital transformation of insurers of every size.
AI helps financial organisations improve customer experience, cut costs and errors, and streamline workflows.
AI supports drug research, consumer safety, planned operations and care information.
AI makes construction operations more productive and reduces the chance of expensive errors.
AI improves property search, lead generation and compliance across the whole transaction.
AI supports discovery, exploration, production, transportation and sales.
AI enables more personalised recommendations and differentiated services for audiences.
AI in public services improves administration, from tax and legal routines to project approvals.
Safer operations, more accurate data analysis and AI features for your own customers.
AI analyses mission data quickly and accurately, supports spacecraft safety and automates operations.
AI solutions designed around the specific challenges and requirements of non-profit organisations.
Recognised by international business awards and by independent B2B platforms that rank companies on verified client reviews.
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 AI consulting helps you understand how AI applies to your business and turns that into a plan you can execute. Typical activities are strategy development and readiness assessment, a proof of concept to test feasibility and impact, implementation and integration with your existing systems, and ongoing optimisation and maintenance of the deployed models.
AI is complex and changes quickly, many companies are unsure where it fits their industry, and implementation takes significant time and resources. Expert guidance helps you invest in the use cases most likely to pay off and avoid projects that fail for lack of assessment.
It depends on the scope, complexity, data availability, customisation and integration requirements. We cannot give an exact figure before we understand the project, but we use a transparent pricing model and scope each stage before it starts, so you always know what the next step involves.
It depends on data availability, the complexity of the problem and the scale you need. A project can take from several weeks to a few months. We give you a realistic estimate once we understand your requirements, and each stage of the AI project life cycle has clear criteria that must be met before moving on.
Data is essential for training and evaluating models. A prototype can sometimes be built on realistic synthetic data, but the relevance, quality and quantity of real data largely determine how well an AI system performs in production. Part of our work is assessing whether your data is sufficient.
It depends on the use case: text for NLP, images for computer vision, sensor data for IoT. In every case the data must reflect the real situations the model will face. Projects typically use training, validation and test data sets, plus the production data the deployed model works with.
No. We help you gather and organise the data, clean it of errors and inconsistencies, and pre-process it so it is suitable for developing an AI model.
Start with the business problems you face today and where AI could help solve them. An AI consultant then assesses these ideas against your data and processes and helps you choose the one that solves the problem most effectively.
Share a few details and our AI team will take it from there. Here is what happens next: