Deeper insight from unstructured data
Extract entities, relationships and sentiment from reviews, social media and emails to spot market trends and support strategic decisions.
NLP · Text, speech and documents
Natural Language Processing (NLP) Services for text, speech and documents
We build NLP solutions that read, extract, search and generate language so your teams do not have to do it by hand. From consulting through custom development to integration and maintenance, we tailor each system to your data, your domain and the systems you already run.
- Key facts extracted from documents automatically
- Faster answers for customers and employees
- Deployed into your systems with MLOps support
- 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 NLP brings to your business
Most business knowledge sits in text: emails, contracts, reviews, reports and call recordings. NLP makes it usable.
Better customer experience
Chatbots, voice assistants and personalised recommendations give customers accurate, relevant answers, which supports retention and loyalty.
Digitised document flows
Digitise, classify and summarise documents automatically to cut manual errors, speed up data entry and make information easy to find and share.
What we deliver
Our core NLP capabilities
We offer NLP consulting, custom development and integration, built on these capabilities.
- 01
Information extraction
Identify and extract key information from web pages, emails and documents such as invoices or inventories, without anyone reading them end to end.
- 02
Automated document processing
Extract, analyse and process forms, invoices and contracts automatically to reduce manual errors, speed up data entry and support regulatory compliance.
- 03
Named entity recognition
Classify dates, organisations, people and locations in text to improve indexing and content tagging and enable entity-based search.
- 04
Text summarisation
Condense lengthy reports, articles and documents into summaries that keep the key information, so decisions take minutes rather than hours.
- 05
Sentiment analysis
Analyse the tone and wording of social media posts, surveys and reviews to understand how customers perceive your brand and products.
- 06
Semantic search
Search that understands the meaning and context of a query, for e-commerce sites, enterprise search portals and knowledge management systems.
- 07
Question answering and chatbots
Systems that understand and answer queries in natural language around the clock, from customer support to transactions and product recommendations.
- 08
Speech recognition
Models that transcribe customer service calls, interviews and meetings, and enable voice-controlled interfaces.
- 09
Custom LLM development
Language models trained on your proprietary data for context-aware applications that address the specific challenges of your industry.
- 10
Text generation
Personalised marketing copy, recommendations and human-like responses for virtual assistants across your platforms.
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
Finance · NLP
Semantic company search for private equity deal sourcing
1 weekof 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.
Read the case study
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.
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.
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.
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, 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. 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.
“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
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 does an NLP project involve?
Five stages. We define the problem and clear goals with you. We collect and pre-process the data, including cleaning, tokenisation, stemming and vectorisation. We select and train a suitable model, then optimise it with additional data, hyperparameter tuning and better feature representations. Finally we deploy it into your production environment and maintain it.
Can you build NLP solutions for our specific domain?
Yes. We develop custom NLP solutions using proprietary algorithms and advanced machine learning techniques, and can train language models on your own data so they understand the terminology and context of your industry.
Can NLP be integrated with our existing systems?
Yes. Whether you use third-party APIs or proprietary software, we tailor the NLP solution to integrate with your existing infrastructure and workflows.
How do you protect our data in NLP applications?
We follow security best practices, encrypt sensitive data and conduct regular security audits. Where data must not leave your organisation, we can build on a self-hosted language model, as in our private LLM chatbot project.
How is the model kept reliable after launch?
We rely on modern CI/CD and MLOps practices to deploy and monitor models, and we provide ongoing support, maintenance and updates so the solution keeps performing as your data changes.
Which industries have you delivered NLP projects for?
We have delivered NLP projects for clients in financial services, manufacturing, education and healthcare, among others.
How much does an NLP solution cost?
It depends on the scope and complexity of the project. We first work to understand your requirements and then give you a transparent estimate for the work.
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