Valuations based on data
Models trained on large market data sets estimate property prices and show which parameters drive the value.
Industries · Real estate
Artificial Intelligence in Real Estate: better data for every transaction
AI takes on the heavy lifting in real estate transactions: complex data, compliance, paperwork, finding the right property and managing offers. We build models that estimate property prices, monitor market movement and analyse urban zones, so your teams and clients decide on better data.
- Automated property price estimation
- Early signals on market movement
- Zone insights from city maps
- 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 changes in real estate
More data and better conditions for your clients, with faster and simpler transactions.
Opportunities found earlier
Market monitoring flags significant changes and underestimated properties, so you can react before other market participants.
Faster transactions
Automating data work, compliance checks and paperwork makes transactions quicker and more transparent.
What we deliver
AI solutions for real estate companies
The most common AI use cases in real estate, backed by projects we have delivered.
- 01
Property price estimation
Deep learning models estimate the price of residential and commercial properties from their features, land, facilities and location, and show how much each parameter contributes.
- 02
Market movement prediction
Monitoring that captures price dynamics across property types, predicts market movement and notifies you of significant changes.
- 03
Urban zone analysis
Semantic segmentation of city maps classifies roads, housing, infrastructure, green areas and open land, and tracks development over time to support zone pricing.
- 04
Identification of qualified leads
Analysis of customer behaviour and preferences to identify prospects who are most likely to transact.
- 05
Property search
Search and recommendations that match properties to what each buyer or tenant is actually looking for.
- 06
Process improvements and security
AI that streamlines document-heavy steps such as compliance checks and paperwork, and helps increase security across the transaction.
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
Real Estate · Computer Vision, Deep Learning, Machine Learning
Map segmentation for urban zone pricing on a real estate platform
5 classesof 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.
Read the case study
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.
Roof detection and segmentation for a solar energy company
Automated roof detection and roof plane segmentation
Deep learning models that detect residential roofs in satellite images, segment them into distinct planes and estimate the area and dimensions of each, so solar panel installations can be planned efficiently.
Drone-based litter detection and collection planning
25x faster litter detection, with overall costs halved
A computer vision system that detects litter in drone images across roughly one thousand square kilometres of coastline, with a GIS application for planning and tracking collection.
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
“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.”
“They successfully fulfilled every component of the project and exceeded our expectations.”
Built an AI model that analyzes the roofs of residential and commercial properties, including data collection and labeling. All key deliverables were completed on time.
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
How accurate can automated property valuation be?
It depends on the data. For a real estate company in the German market we built a data collection pipeline covering more than one million properties and trained a deep learning model on it. The client used its insights to make around 20 million euros of property investments with a positive return.
Does a valuation model work outside Germany?
The approach is transferable to other markets. A similar project was carried out for the Swiss market.
Can AI assess the value of a whole area rather than a single property?
Yes. For a real estate online platform we used semantic segmentation to analyse city maps, including historical maps from different years, to track open land available for development and support price assessments of urban zones.
Where should a real estate company start with AI?
Usually with the use case closest to revenue: property price estimation, lead identification or property search. We assess your data and processes first and follow a staged project lifecycle with quality criteria at each phase.
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