Automate repetitive content work
Generate text, images, video and audio automatically, keep output consistent across digital platforms and cut the manual effort behind every campaign.
Generative AI · Content and creative workflows
Generative AI Development Services for content production at scale
We design, train and deploy generative models that produce text, images, video and audio for your business. From marketing copy and design assets to custom language models for reports and customer communication, we build the model first as an MVP, prove it on real output, then scale it into your workflows.
- Consistent content across channels with less manual work
- Custom LLMs built and fine-tuned for your business
- Proven on an MVP before you scale
- 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 generative AI changes in your workflows
Generative models take over routine creative production and open new options for your teams.
Personalise the user experience
Recommendation engines, assistants and campaigns that analyse user behaviour and generate tailored content in real time, to lift engagement and conversion.
Extend what your teams can create
Use generative AI for artwork, graphics, music and new product concepts, and open new revenue streams through AI-assisted concept work.
What we deliver
Our main generative AI capabilities
Models built around the content your business needs to produce, and the systems it has to fit into.
- 01
AI-powered content generation
Models that create text, images, video and audio tailored to your business needs, so content production scales without a matching rise in effort.
- 02
Custom large language models
We build and fine-tune LLMs for chatbots, personalised customer interactions and generated reports that make your communication more efficient.
- 03
AI-generated visuals and graphics
Image and video generation for marketing visuals, social media content and design assets with minimal human intervention.
- 04
AI-powered personalisation
Generative models that deliver personalised recommendations, automated customer engagement and customised experiences across digital platforms.
- 05
AI-driven creative assistance
Writing assistants, music composition and graphic design tools that speed up concept work for your creative teams.
- 06
Integration and deployment
We integrate generative solutions into your existing infrastructure with minimal disruption to operations.
- 07
Model optimisation and maintenance
We monitor model performance and fine-tune continuously to keep accuracy and efficiency aligned with your goals.
- 08
AI ethics, governance and security
Governance frameworks for compliance, bias mitigation and responsible use, plus security measures that protect your models and meet data protection rules.
Technologies we work with
- GPT
- Stable Diffusion
- DALL-E
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
Professional Services · Generative AI, NLP
Custom LLM chatbot with document references for a consulting firm
In-house LLMno 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.
Read the case study
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.
NLP chatbot for centralised meeting scheduling
3,000 man-hours saved per month
A natural language processing chatbot for a centralised meeting scheduling system that automated the process and reduced the number of human operators needed.
Semantic company search for private equity deal sourcing
1 week of 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.
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 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.
“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.
“They are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
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
Generative AI by industry
Generated content and reports we apply in each sector.
Insurance
Better customer interactions, automated claims and sharper risk assessment.
- Generated policy documents
- Claims processing with generated reports
- Fraud detection
- Personalised policy recommendations
Construction
Generative models for planning, safety and project management.
- Generated project blueprints and models
- Site monitoring and analysis
- Risk assessment reports
- Material and labour forecasting
Finance
Automated customer service, generated insights and support for compliance.
- Generated financial reports
- Market trend analysis
- Fraud detection
- Personalised investment strategies
Government
More efficiency, transparency and public engagement in administration.
- Policy briefs and reports
- Intelligent document automation
- Public service chatbots
- Predictive analytics for decision-making
Tech Start-ups
Faster content creation, product development and customer engagement.
- Product descriptions and marketing content
- Chatbots and support automation
- User behaviour analysis
- UI and UX design automation
Media
Generated content, automated media workflows and audience insights.
- Articles and news summaries
- Video and image enhancement
- Sentiment analysis of media trends
- Personalised content recommendations
Oil and Gas
Data synthesis and predictive analytics for exploration, production and maintenance.
- Generated geological reports
- Drone and satellite monitoring analysis
- Predictive maintenance insights
- Resource allocation strategies
Pharmaceuticals
Generated insights and automation for drug discovery, research and patient care.
- Drug development simulations
- Clinical trial reports
- Personalised treatment recommendations
- Predictive analytics for healthcare trends
Real Estate
Streamlined property management, marketing and valuation.
- Property descriptions and listings
- Pricing prediction models
- Real estate document processing
- Personalised property recommendations
Space
Support for exploration, satellite monitoring and mission planning.
- Satellite image analysis
- Predictive mission diagnostics
- Anomaly detection in space systems
- Space research insights
NGOs and Non-profits
Automation for social impact, fundraising and policy research.
- Grant applications and reports
- Impact assessment reports
- Fundraising engagement strategies
- Policy recommendations for social initiatives
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
What does generative AI development involve?
Designing, training and deploying models that create text, images, video and other media. The aim is to automate creative production so your business can scale content output without scaling manual effort at the same rate.
What can generative AI produce for us?
Marketing copy, visuals and social media content, design assets, reports generated by a custom language model, chatbot responses, personalised recommendations, and creative material such as music or product concepts. We scope the model around the content your teams need most.
How do you move from concept to production?
We start with discovery to define goals and check feasibility. We then prepare the data and select the models, build an MVP to test output quality on real tasks, and refine it based on feedback. Once validated, we scale the solution into your processes and keep monitoring and fine-tuning it.
Which industries benefit from generative AI?
Media, e-commerce, healthcare and finance benefit most visibly from generated content, automation and personalisation. We also apply it in insurance, construction, government, pharmaceuticals, real estate, energy and the non-profit sector.
How long does generative AI development take?
Timelines depend on complexity, data availability and the level of customisation you need. Projects typically take from several weeks to a few months.
How do we get started?
Contact us to discuss your project. We guide you through strategy, model selection and implementation, aligned with your business objectives.
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.