Automated lease data extraction
Payment terms, expiration dates and obligations are extracted automatically, reducing manual effort and keeping accuracy consistent across large volumes of leases.
AI lease abstraction · NLP and OCR
AI Lease Abstraction Services from lease documents to structured data
We build AI solutions that read lease agreements and extract the terms that matter: payment terms, rent, renewals, expiry dates, obligations and key legal clauses. The result is structured, searchable lease data that reduces manual review, supports compliance and gives you a clear view of your portfolio.
- Key lease terms extracted automatically
- Clauses, obligations and risks flagged for review
- Structured, searchable data across your portfolio
- 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 AI lease abstraction delivers
Consistent extraction across large volumes of leases, so your teams spend their time on decisions, not on reading.
Compliance and risk mitigation
Models identify key clauses, obligations and risks, so you keep records up to date, reduce legal exposure and meet regulatory requirements.
Better portfolio management
Structured, searchable lease data integrated into your real estate workflows improves visibility and helps you manage obligations and financial performance.
What we deliver
Our AI lease abstraction capabilities
From scanned documents to analytics: the building blocks we combine for your lease portfolio.
- 01
Automated lease data extraction
Models that extract rent, renewals, obligations and other key terms, trained on high-quality data for accuracy.
- 02
OCR for scanned leases
AI-enhanced optical character recognition that digitises lease data from scanned documents.
- 03
NLP for lease analysis
Natural language processing that interprets lease language precisely, including key legal clauses.
- 04
Compliance tracking and risk assessment
Identification of risk factors, obligations and clauses that affect regulatory compliance and legal exposure.
- 05
Lease classification and structuring
Models that categorise and organise lease agreements for easier retrieval and management.
- 06
Multi-language lease processing
Abstraction of leases in multiple languages, so international portfolios can be managed in one place.
- 07
Lease analytics and forecasting
Insight into lease performance, tenant obligations and financial trends, with predictive analytics for portfolio decisions.
- 08
Integration with lease management systems
AI connected to your existing lease management platforms to automate workflows with less manual intervention.
Technologies we work with
- GPT
- BERT
- Dialogflow
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
Oil and Gas · Computer Vision, NLP
Automated information extraction from invoices
25xfaster 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.
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.
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.
Property price estimation and market prediction for real estate
1M+ real estate items analysed to train the model
A machine learning tool that estimates property prices, monitors market trends and finds attractive offers, which guided around €20 million of real estate investments.
Map segmentation for urban zone pricing on a real estate platform
5 classes of land use mapped pixel by pixel
A deep learning system that segments city maps, compares them with historical maps and tracks open land over time to support price assessment of urban zones.
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
“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.
“They are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
“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 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 lease abstraction across industries
Examples of how organisations with lease portfolios use AI abstraction.
Real Estate
Streamlined property management, valuation and compliance tracking.
- Lease abstraction for property portfolios
- Tenant lease tracking and compliance monitoring
- Lease risk assessment for investors
- Lease-based revenue forecasting
Finance
Asset management, compliance and risk assessment for financial institutions.
- Lease portfolio analytics
- Automated lease abstraction for financial audits
- Risk evaluation of lease agreements
- Compliance tracking for lease-based investments
Insurance
Risk assessment, compliance tracking and policy automation.
- Lease risk assessment and compliance monitoring
- Automated lease policy extraction for claims
- Fraud detection in lease agreements
- Predictive analytics for lease-based pricing
Construction
Lease management and risk assessment for construction projects.
- Lease agreement tracking for projects
- Automated compliance verification
- Lease risk forecasting
- Procurement and lease budgeting insights
Pharmaceuticals
Lease abstraction for research, manufacturing and facility management.
- Compliance monitoring for facility leases
- Lease abstraction for clinical trial sites
- Lease risk evaluation for healthcare institutions
Government
Transparency, efficiency and compliance in public lease management.
- Lease management for government assets
- Lease data processing for regulatory compliance
- Lease policy evaluation
Oil and Gas
Risk assessment and compliance automation for site leases.
- Lease monitoring for oil and gas sites
- Compliance tracking for regulatory adherence
- Lease forecasting for resource allocation
Media
Portfolio management and compliance for offices and production spaces.
- Lease data extraction for offices
- Compliance verification for studio leases
- Contract review for production spaces
Tech Start-ups
Office leasing and cost control for scaling companies.
- Lease term extraction for workspace rentals
- Lease cost tracking and budget forecasting
Space
Lease abstraction for satellite stations, research facilities and launch sites.
- Lease monitoring for space facilities
- Compliance tracking for aerospace leases
- Lease data structuring for space agencies
NGOs and Non-profits
Space management and efficiency for non-profit property holdings.
- Lease tracking for property holdings
- Compliance verification for non-profit leases
- Lease analytics for grant-funded properties
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 is AI lease abstraction?
It is the use of AI to extract and organise critical information from lease agreements automatically: payment terms, rent, renewals, expiry dates, obligations and key clauses, delivered as structured data.
Why use AI for lease abstraction instead of manual review?
AI keeps extraction consistent across large volumes of leases, reduces manual workload, supports compliance and makes the whole portfolio searchable. Your specialists review flagged clauses and risks rather than reading every page.
Can it process scanned and multi-language leases?
Yes. AI-enhanced OCR digitises lease data from scanned documents, and we support lease abstraction in multiple languages for international portfolios.
Can the solution connect to our lease management system?
Yes. We integrate AI lease abstraction with existing lease management platforms and real estate workflows, so extracted data flows into the tools your teams already use.
Which industries benefit from AI lease abstraction?
Any organisation with a significant lease portfolio, including real estate, finance, insurance, pharmaceuticals and government agencies.
How long does implementation take?
It depends on complexity, customisation and data volume. Projects typically range from a few weeks to several months. We start with discovery and an MVP, then scale and integrate once the models are validated.
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