Sharper strategy from data
Predictive analytics and behavioural insights support personalised campaigns, better ad spend and more relevant content recommendations.
AI marketing · Predictive and personalised
AI Marketing Services built on your customer data
We develop AI solutions that improve audience targeting, personalise content and automate marketing workflows. Predictive models score leads, optimise ad spend and surface customer insights in real time, so your marketing team works from data rather than guesswork.
- Audience segments built from real customer behaviour
- Leads scored by their likelihood to convert
- Ad targeting and budgets optimised continuously
- 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
Where AI improves marketing performance
We apply machine learning where it changes targeting, engagement and return on marketing spend.
Accurate, efficient campaigns
Models analyse large data sets and adjust targeting dynamically, improving campaign accuracy, engagement rates and return on investment.
Marketing that adapts
Machine learning and automation keep campaigns responsive to changing customer behaviour, from email automation and lead scoring to chatbot interactions.
What we deliver
Our AI marketing capabilities
Individual models or a connected marketing system: we build what fits your channels and your data.
- 01
Customer segmentation
AI analysis of customer data to create targeted audience segments for personalised marketing.
- 02
Content personalisation
Personalised messaging, product recommendations and email content, including optimised send times.
- 03
Predictive lead scoring
Models that identify high-value leads so sales and marketing can prioritise the contacts most likely to convert.
- 04
Ad optimisation and bidding
Machine learning for ad targeting, budget allocation and bidding strategies that improve campaign performance.
- 05
Marketing chatbots and virtual assistants
Chatbots that automate customer interactions and improve engagement with your brand.
- 06
Customer insights and behavioural analysis
Analytics that reveal customer preferences, buying patterns and marketing performance.
- 07
Sentiment analysis and brand monitoring
Models that track and analyse social media sentiment for brand reputation management.
- 08
AI-assisted content creation
Generative AI solutions that support copywriting, video production and visual creation.
- 09
SEO and competitive market analysis
Tools that analyse search trends, optimise content and assess competitor strategies and market trends.
- 10
Marketing automation
Automated workflows for campaigns, content scheduling and audience engagement on scalable infrastructure.
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 projectCase studies
All case studiesResults we delivered for our clients
Media and Marketing · Machine Learning
Social media analytics for a bank’s marketing activities
Lower churnmost at-risk clients retained, per client feedback
An interactive tool that analyses social media data to reveal audience interests, social group affiliation and demographics, so a bank can target offers that build loyalty and reduce churn.
Read the case study
Personalised content recommendation for a media company
+5% diversity of content consumed by users
A personalised recommendation system that learns each user’s consumption patterns and preferences across diverse media content, helping a media company raise engagement, retention and customer lifetime value.
Player churn prediction for an online gaming platform
11.3% churn rate after new retention strategies
A machine learning model that learns player behaviour during the game and predicts the probability of churn over a given time horizon, so the platform can apply the most relevant retention strategy.
Custom LLM chatbot with document references for a consulting firm
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.
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, takes a different kind of team. This is what you get with us.
01
Scientists, not generalists
AI Superior was founded in 2019 by AI researchers with published papers and patents. That depth runs through the whole team.
- 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 goes only into solutions proven 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 together, not handed over between separate 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
“Overall, our experience with AI Superior has been extremely positive, and we have been highly satisfied.”
Delivered a highly specialized AI chatbot with custom AI logic for a foundation supporting children and young adults.
“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.
“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.
How we work
A proven AI project life cycle
Every stage ends with a result you can check. You never commit to the next stage before seeing the previous one work, so scope, budget and risk stay under your control.
- 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
Together we evaluate the results of the implementation and make sure they are interpreted correctly.
You get: A clear picture of the value delivered and where to improve next
Use cases by industry
AI marketing across industries
Examples of the marketing use cases we implement in each sector.
Retail and E-commerce
Personalisation, product recommendations and automated customer support.
- Recommendation engines for e-commerce
- Predictive pricing and promotional strategies
- Chatbot customer assistance
Insurance
Marketing automation, customer insights and predictive analytics for insurers.
- Lead scoring and customer profiling
- Predictive policy recommendations
- Marketing automation for customer retention
Finance
Customer acquisition and personalisation for financial services.
- Predictive marketing campaigns
- Audience segmentation for targeted ads
- Customer engagement tools for banking and finance
Media
Audience targeting for media and entertainment platforms.
- Content personalisation engines
- Audience sentiment analysis for campaign optimisation
- Automated media ad targeting
Tech Start-ups
Personalised user experiences and audience growth for digital businesses.
- Customer acquisition and behavioural analysis
- Marketing automation for user engagement
- Content recommendation engines
Construction
Outreach, lead generation and engagement for construction and property projects.
- Content automation for project marketing
- Predictive customer segmentation
- Chatbot assistance for lead nurturing
Government
Public engagement, automated messaging and citizen-focused campaigns.
- Policy communication and outreach automation
- Sentiment analysis for public opinion tracking
- Predictive tools for civic engagement
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 do AI marketing services include?
They apply AI to customer engagement, marketing workflows and advertising performance: segmentation, content personalisation, predictive lead scoring, ad optimisation, sentiment analysis and marketing chatbots.
How does AI improve marketing campaigns?
It enables personalised content, predictive lead scoring, automated ad optimisation and real-time analytics. Campaigns are targeted by actual customer behaviour and adjusted as results come in.
Do you build custom models or configure existing tools?
Both, depending on the need. In the initial setup we gather customer data, configure AI marketing tools and set up automation workflows; where standard tools fall short, we develop predictive models on your own data.
What data do we need to get started?
Customer and campaign data is the basis: behaviour, purchases, engagement and ad performance. During discovery we assess which data you have and which use cases it can support.
How does an AI marketing project run?
Discovery defines your needs and automation opportunities. After the initial setup, we build an MVP to test real-time analysis and optimisation. Once validated, we scale the models, integrate real-time analytics and keep refining targeting based on measured results.
How do we get started?
Contact us to discuss your marketing goals and data. We will propose the AI solutions that fit them and a staged plan to implement them.
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