AI consulting · Strategy to production

AI Consulting Services from strategy to working systems

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.

  • AI use cases prioritised by business value and feasibility
  • A data and AI roadmap your organisation can execute
  • Support from proof of concept to production
  • 57% of our team hold a PhD
  • German company, working under the GDPR

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Trusted by enterprises, scale-ups and non-profits

  • Boehringer Ingelheim
  • HUK-Coburg
  • World Vision
  • Siemens
  • Merck
  • Stiftung GOLDKIND
  • European Space Agency
  • Enaex
  • Serco
  • Finiata
  • zeile sieben
  • TVARIT
  • Digit AI
  • Spryfox
  • Cycled
  • Firnas Aero
  • nomads
What you gain

Where AI consulting creates value

We focus on the processes where AI changes the numbers, not on technology for its own sake.

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.

See risks earlier

Models that find patterns in unstructured data flag risk factors early, so you can act before they turn into losses.

Decide faster on live data

Turn large volumes of data into real-time insights, trends and predictions that managers can act on.

What we deliver

Our AI consulting capabilities

From the first assessment to an organisation that runs AI on its own: pick the part you need or the full path.

  1. 01

    AI use case identification

    We find, assess and prioritise where data science, machine learning and AI can bring the greatest value to your business.

  2. 02

    Data and AI roadmap

    We analyse your current situation, agree on a target vision with you and turn it into a step-by-step strategic roadmap.

  3. 03

    Data architecture design

    We design and evaluate data architectures that let you handle, audit and clean your data efficiently.

  4. 04

    Tools and technology selection

    We help you choose and adopt the data science and AI tools that fit your use cases and your existing stack.

  5. 05

    Process optimisation with AI

    We identify inefficient processes and design AI-based solutions that automate and improve them.

  6. 06

    AI governance and compliance

    We set up governance structures that reduce the risks of your AI solutions, improve data quality and support regulatory compliance.

  7. 07

    In-house AI team creation

    We plan your team structure, define roles and hiring requirements, write job descriptions and help interview and evaluate candidates.

  8. 08

    Change management for AI adoption

    We adapt processes and structures to new AI solutions and help address resistance, so the technology is actually used.

  9. 09

    State-of-the-art research and patents

    We carry out cutting-edge research with you and support patent filings and scientific publications.

  10. 10

    AI training and data-driven culture

    Workshops and training programmes that build a data-driven mindset and practical AI skills across your organisation.

Technologies we work with
  • PyTorch
  • TensorFlow
  • PySpark
  • Hadoop

Not sure which of these you need? Describe the problem and we will recommend the approach.

Discuss your project
Case studies

Results we delivered for our clients

All case studies
Illustration of AI-assisted deal sourcing
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%
Team by highest degree
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.

  • Dr. Ivan Tankoyeu 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 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

Rated 5.0 by the people we build for

5.0
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.

Darko Stefanovic CTO & Co-Founder, Qode Interactive Verified on Clutch · Belgrade, Serbia
★★★★★
“They are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
Sven Bunge Managing Director, zeile sieben Client testimonial
★★★★★
“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.

Anna Kozłowska CEO, Finiata Verified on Clutch · Berlin, Germany
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.
Start with discovery
  1. 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
  2. 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
  3. 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
  4. 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

    Go / no-go decision
  5. 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

How we apply AI across industries

Examples of the use cases we assess and implement with clients in each sector.

Insurance

AI and data science are central to the digital transformation of insurers of every size.

  • Risk management
  • Behavioural analysis
  • Customer churn prediction
  • Retention strategy assessment
  • Automated claims processing
AI in insurance
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.

  • Top Artificial Intelligence Company Germany 2026, Clutch Top Artificial Intelligence Company Germany 2026 · Clutch
  • Top Machine Learning Company Germany 2026, Clutch Top Machine Learning Company Germany 2026 · Clutch
  • Top Computer Vision Company Germany 2026, Clutch Top Computer Vision Company Germany 2026 · Clutch
  • Top Generative AI Company Germany 2026, Clutch Top Generative AI Company Germany 2026 · Clutch
  • Go Global Awards Winner 2021, International Trade Council Go Global Awards Winner 2021 · International Trade Council
  • Best Data Science & AI Service Provider, Europe 2021, German Business Awards Best Data Science & AI Service Provider, Europe 2021 · German Business Awards
  • Top Artificial Intelligence Company 2023, Clutch Top Artificial Intelligence Company 2023 · Clutch
  • Top Machine Learning Company 2023, Clutch Top Machine Learning Company 2023 · Clutch
  • Clutch Champion Fall 2023, Clutch Clutch Champion Fall 2023 · Clutch
  • Clutch Global Fall 2023, Clutch Clutch Global Fall 2023 · Clutch
  • Top BI & Big Data Company Germany 2023, Clutch Top BI & Big Data Company Germany 2023 · Clutch
  • Top IT Services Company Germany 2023, Clutch Top IT Services Company Germany 2023 · Clutch
  • Top Artificial Intelligence Companies 2023, TrueFirms Top Artificial Intelligence Companies 2023 · TrueFirms
  • Top Machine Learning Companies 2021, Techreviewer Top Machine Learning Companies 2021 · Techreviewer
  • Most Reviewed IT Services Companies Germany, The Manifest Most Reviewed IT Services Companies Germany · The Manifest
FAQ

Frequently asked questions

Something else on your mind? Ask us directly.

What does AI consulting include?

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.

Why work with an AI consulting company instead of starting alone?

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.

How much does AI consulting cost?

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.

How long does an AI project take?

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.

Can we start an AI project without data?

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.

What data does an AI project need?

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.

Do we have to prepare the data ourselves?

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.

How do we know whether we are ready for AI?

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.

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:

  1. We review your request and reply by email.
  2. A call with an AI expert to understand your problem, data and goals.
  3. A clear recommendation: the approach we suggest and a high-level estimate.

By submitting, you agree to our privacy policy. We use your details only to reply to your request.

Discuss your project