Fast, real-time responses
Hosted models are configured and tuned to keep latency low and throughput high, so users get answers in real time.
LLM hosting · Secure, scalable operation
Large Language Model (LLM) Hosting Services that run reliably at scale
We host and run your language models in a secure cloud or on-premises environment, so your applications get fast, reliable responses without your team managing the infrastructure. We set up the environment, expose the model through APIs, scale it with demand and keep it monitored, patched and optimised.
- Hosted models your applications reach through APIs
- Resources that scale with peak demand
- Encryption, access control and monitoring built in
- 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
Why host your LLM with us
Hosting is about what happens every day after launch: speed, security and cost under real workloads.
Your data stays protected
Data encryption, access control and compliance protocols safeguard the model and the sensitive data it processes.
Capacity that follows demand
Resources scale up for peak periods and back down afterwards, so performance holds while costs stay managed.
What we deliver
Our LLM hosting services
End-to-end hosting: the environment, the model running in it, and the operations that keep it healthy.
- 01
LLM infrastructure setup
We configure high-performance cloud or on-premises infrastructure for your model, with efficient resource allocation, security and compliance with your industry requirements.
- 02
Hosted API access
We deploy the model in a secure environment and make it available through API endpoints or direct integrations, so your applications use it without managing infrastructure.
- 03
Performance optimisation
We tune hosted models for minimal latency, better accuracy and efficient use of computing resources.
- 04
Security and compliance
We implement data encryption, access control and compliance protocols to protect the model and the data it handles.
- 05
Dynamic scaling
We scale resources to match varying workloads, keeping the model responsive during peak demand while managing costs.
- 06
Monitoring and maintenance
Continuous monitoring, security updates, troubleshooting and performance improvements, with issues identified and resolved proactively.
Technologies we work with
- Kubernetes
- AWS
- Azure
- Oracle
- Grafana
- Databricks
- Python
- TensorFlow
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
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.
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.
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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
“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 would be more than happy to speak to anyone about how much of a rock star you guys are.”
“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 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
Hosted LLMs by industry
Hosting tailored to the data and compliance needs of each sector.
Finance
Securely hosted models for financial analysis and monitoring.
- Fraud detection
- Market analysis
- Automated trading algorithms
Healthcare
Clinical and patient-facing tools on compliant hosting.
- Clinical support tools
- Medical transcription
- Automated patient interaction
E-commerce
Hosted models behind the storefront and support channels.
- Recommendation systems
- Product description generation
- Customer support chatbots
Legal
Models that process contracts and regulations at volume.
- Contract analysis
- Legal research
- Automated compliance monitoring
Marketing and Content Creation
Hosted generation platforms for content and campaign teams.
- Content generation platforms
- Personalised ad copy
- Social media assistants
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 is LLM hosting?
LLM hosting means running and managing a large language model in a secure, scalable cloud or on-premises environment, so it delivers real-time responses while making efficient use of computing resources. Your applications use the model; we run it.
What are the benefits of a hosted LLM?
You get the model's capabilities without managing the infrastructure yourself. Deployment, security, scaling and maintenance are handled for you, and your applications access the model through APIs.
Can the model be hosted privately?
Yes. We host in the cloud or on-premises depending on your requirements. For a consulting firm we built a chatbot on a custom, self-hosted language model, so answers are traceable and data does not leave the company.
Is LLM hosting secure?
Our hosting includes data encryption, access control and compliance measures to protect sensitive data, plus continuous monitoring and security updates.
Can hosting be tailored to our use case?
Yes. We design the hosting architecture around your requirements, compliance needs and expected workloads, whether that is API access for your applications, a content platform, a chatbot or document processing.
What does LLM hosting cost?
It depends on your hosting requirements, the size of the model and the workload it has to handle. We assess these first and then propose a hosting plan scoped to your needs.
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.