Automate language-heavy work
Hand repetitive tasks such as summarising, translating and drafting to a model, so your teams spend their time on work that needs judgement.
LLM development · End to end
Large Language Model (LLM) Development Services from strategy to production
We plan, build and run language model solutions for your business: choosing or creating the right model, adapting it to your data, integrating it into your workflows and keeping it accurate after launch. Our engineers cover the whole development process, so nothing is lost between strategy and delivery.
- An LLM strategy based on your data and systems
- Models built or fine-tuned for your use case
- Integrated, tested and maintained in production
- 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 LLMs do for your business
Language models pay off where your teams handle large volumes of text, questions and documents.
Serve customers faster
Virtual assistants answer queries, guide users through processes and give real-time support in a consistent voice.
Decide on unstructured data
Extract insights from reviews, reports and conversations that were too large or too messy to analyse by hand.
What we deliver
Our LLM development services
One team from the first assessment to a maintained system. Take the full path or the part you need.
- 01
LLM consulting and strategy
We analyse your data, infrastructure and business goals, interview your teams and build a roadmap for LLM adoption.
- 02
Model selection or creation
We evaluate your requirements and either choose an existing LLM or create a model designed for your needs.
- 03
Training and fine-tuning
We train new models or fine-tune foundation models such as GPT, from architecture design to parameter tuning, for accuracy and efficiency.
- 04
LLM integration
We embed the model into your existing systems and workflows, then test it on your use case and adjust it where results fall short.
- 05
Interface design
We design the user interface around the integrated model, so the people who use it every day can work with it easily.
- 06
LLM-powered applications
Chatbots, virtual assistants, speech recognition, content generation tools and text analytics solutions built on language models.
- 07
Maintenance and optimisation
Continuous monitoring, troubleshooting, optimisation and fine-tuning keep your model efficient and aligned with changing business needs.
Technologies we work with
- Python
- TensorFlow
- Scikit-learn
- Pandas
- Jupyter
- Databricks
- Kubernetes
- AWS
- Azure
- Oracle
- Grafana
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
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.
NLP skill gap analytics for a science and technology company
~10,000 man-hours saved
An interactive NLP tool that assesses employees' skills, compares skill profiles and identifies skill gaps between business-critical staff and their potential successors.
Automated information extraction from invoices
25x faster invoice processing
A web service that extracts data from different types of invoices, automating data entry for a multinational equipment distributor and saving 850 man-hours per month.
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.
-
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.
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.
“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.
“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.
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
-
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
Custom LLMs across industries
We shape each model around the language, documents and rules of your sector.
Marketing and advertising
Models that generate on-brand content tailored to your target audience.
- Slogans and campaign copy
- Marketing emails
- Audience-specific messaging
Healthcare
LLMs that support medical professionals and improve the patient experience.
- Treatment recommendation support
- AI-driven clinical insights
E-commerce
Language models that make an online shop more responsive to each customer.
- Shopping chatbots
- Product recommendations
- Product descriptions
Finance
Models that analyse financial data and support customers with their enquiries.
- Financial data analysis
- Operational streamlining
- Customer virtual assistants
Customer service
Round-the-clock assistants that resolve issues and shorten response times.
- Issue resolution
- Information requests
- Personalised support
Education
More interactive learning that adapts to each learner.
- Personalised tutoring
- Learning material creation
- Real-time feedback
Legal
Faster, more precise handling of documents and research.
- Legal document generation
- Contract analysis
- Legal research
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 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
Do we need our own LLM, or can you use an existing one?
Either can be right. We first understand your objectives and data, then either select an existing model or create one tailored to your needs. In both cases we train and fine-tune it so it understands the specifics of your business.
How do LLMs benefit a business?
They automate repetitive language tasks, improve customer interactions, generate consistent content and turn unstructured text into insights for data-driven decisions.
Can LLMs be customised for our industry?
Yes. We develop and fine-tune models on industry-specific data and requirements, so the output is relevant and accurate for your domain.
How do you keep LLMs unbiased and ethical?
We follow ethical AI principles throughout development, with rigorous testing before release and continuous monitoring afterwards to detect and prevent bias.
How long does LLM development take?
It depends on the size of your dataset, the complexity of the model and your business requirements. We give you a realistic estimate once we understand the scope, and we organise the work to move efficiently without cutting corners on quality.
What happens after the model goes live?
We monitor the model, troubleshoot issues, optimise it and fine-tune it based on user feedback, so it keeps performing as your business and data change.
How do we get started?
Contact us to discuss your needs. We start by assessing your data, goals and infrastructure, and propose a tailored strategy for your LLM solution.
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.