What is the core problem CityScale aims to solve?

According to Slide 2 and Slide 4, the problem is the 'scale, volume and complexity of living.' Existing solutions like real estate agents are described as biased or limited, while standard services prioritize sellers. CityScale focuses on what is 'behind the walls'—the environmental factors like crime and pollution that are harder to fix than a physical apartment.

How does CityScale generate revenue?

Slide 12 outlines a 'Freemium' business model. Revenue streams include refined open data distribution through a portal and API, as well as 'Life condition valuations as a service.' The deck describes the freemium approach as a 'social responsible model,' suggesting a mix of free public access and paid professional tools.

Who is the target audience for this platform?

Slide 10 identifies a diversified target audience including current and future citizens, private companies, city specialists, and government authorities. Slide 11 further specifies refugees and temporary displaced persons as a key demographic, particularly in the context of post-war rebuilding.

What technical features are highlighted in the deck?

Beyond data visualization on interactive maps (Slide 7), Slide 8 mentions experiments with 'smart agents' like chatbots to increase accessibility. The platform also provides raw data and APIs for professional users, indicating a developer-friendly infrastructure intended for scaling.

What evidence of traction is provided?

The primary evidence of traction is the product screenshot on Slide 7 and the award mentioned on Slide 15. The company won 3rd place at the 5th EU Datathon in the 'An economy that works for people' challenge, which included a 5000 EUR prize. Slide 14 also states they are 'working with local and international users.'

CityScale Pitch Deck (2021): 16-Slide Breakdown

See all 16 slides of the CityScale pitch deck — a 2021 deck in PropTech — with a slide-by-slide teardown of what the deck does well and where it falls short.

CityScale is a housing data platform that aggregates disparate information—ranging from real estate prices and crime rates to pollution and transportation—into an interactive map. The deck positions the company as a solution for citizens, private companies, and government authorities to make informed decisions about living environments. Notably, the presentation emphasizes the platform's utility in humanitarian contexts, specifically for refugees and post-war rebuilding efforts. While the deck showcases a functional product and a third-place win at the 5th EU Datathon (earning 5000 EUR), it i…

Key takeaways

The platform aggregates open data on prices, crime, pollution, transportation, and health facilities from both government and private sources (Slide 6).
CityScale employs a freemium business model, offering refined data distribution via a portal and API, alongside valuation services (Slide 12).
A significant portion of the value proposition is dedicated to post-war rebuilding and helping refugees find better shelter (Slide 11).
The product is already live, featuring an interactive map with specific metrics like 'Conditions valuation' and 'Ecology' scored out of 10 (Slide 7).
The company achieved 3rd place in the 5th EU Datathon, receiving a 5000 EUR prize (Slide 15).
The deck lacks a team slide, providing no information on the founders' backgrounds or technical expertise.
There are no financial metrics, user growth numbers, or a specific capital requirement listed anywhere in the 16 slides.
The long-term vision is to scale the platform globally to any location where people live (Slide 13).

Slide-by-Slide Analysis

The Vision and Problem (Slides 1-5)

Slide 1: Title The deck opens with the company name, CityScale, and the tagline 'Where is better open data-driven housing.' It includes a URL pointing to a Ukrainian domain (.com.ua), establishing the company's geographic roots.

Slide 2: Our goal The stated goal is 'To change how we choose a place to live.' The slide argues that choosing a home takes too much effort and responsibility due to the complexity of modern living. This is a high-level emotional hook but lacks specific data on the 'effort' involved.

Slide 3: Existing solutions The deck critiques current market players. Live agents are described as 'limited capacity, biased, opinionated.' Ordinary real estate services are called 'cluttered' and accused of prioritizing property and sellers over the buyer's needs.

Slide 4: The problem This slide clarifies the niche: 'They won't tell you what is behind the walls.' It emphasizes that while an apartment can be fixed, the surrounding environment cannot. This sets the stage for a data product focused on neighborhood quality rather than just floor plans.

Slide 5: Reviews, maybe?... The founders dismiss user reviews as a primary solution, noting they are subjective, unstructured, incomplete, and potentially fake. This justifies the need for an objective, data-driven approach.

The Solution and Product (Slides 6-9)

Slide 6: What we do?... CityScale aggregates open data regarding real estate prices, crime, pollution, transportation, and educational/medical facilities. Crucially, they state they use both government and private data sources to create 'simple model valuations.'

Slide 7: Product Screenshot This is the most informative slide in the deck. It shows a functional map of Kyiv with color-coded data points. A pop-up box displays specific scores: 'Conditions valuation 6/10', 'Crimes 7/10', 'Ecology 6/10', and 'Transportation 4/10'. The interface includes filters for budget, rooms, floor, and points of interest. This proves the product is more than a concept.

Slide 8: Beyond visualization The company mentions experiments with 'smart agents' and chatbots. They also highlight the provision of raw data and APIs for professional use, suggesting a B2B layer to the business.

Slide 9: How it works for people?... This slide summarizes the user benefit: seeing the 'whole picture at a glance' to make 'conscious decisions with less effort.' It frames the outcome as 'fair housing and better living.'

Market and Sustainability (Slides 10-13)

Slide 10: Sustainability: target audiences The deck lists citizens, private companies, city specialists, and authorities as targets. The use of the word 'Sustainability' here refers to the longevity of the business model through diversification rather than environmental impact.

Slide 11: Sustainability: war and post-war This slide addresses the current geopolitical context of Ukraine. It positions CityScale as a tool for refugees and displaced persons seeking shelter and as a foundation for 'effective post-war rebuilding based on computer data analytics.' This is a powerful, mission-driven pivot.

Slide 12: Diversified services. Business model The model is 'Freemium.' Revenue comes from 'Refined open data distribution' via portal and API, and 'Life condition valuations as a service.' No pricing tiers or projected ARPU (Average Revenue Per User) are provided.

Slide 13: Sustainability: ultimate scaling The founders claim the platform is built to feed data for 'any location around the world where people live.' This asserts global ambitions but provides no roadmap for international data acquisition.

Current State and Contact (Slides 14-16)

Slide 14: Current state The company claims to be working with local and international partners and is 'shaping European market expansion.' No specific partners are named.

Slide 15: 5th EU Datathon Winner This slide provides external validation. CityScale took 3rd place in an EU-wide competition, winning 5000 EUR. This confirms the technical viability of their data processing.

Slide 16: Contacts The deck concludes with social media links and a feedback email. There is no 'Ask' slide detailing how much money they are raising or what the funds will be used for.

What Works

Clear Product Demonstration: Slide 7 is excellent. It shows exactly what the user sees, the metrics being tracked, and the level of granularity in the data. · Strong Problem Definition: The distinction between 'fixing an apartment' and 'fixing an environment' (Slide 4) is a compelling way to explain why neighborhood data is a separate, valuable asset class. · Social Impact Alignment: The inclusion of post-war rebuilding and refugee support (Slide 11) gives the project a sense of urgency and moral purpose that can appeal to impact investors and government grants. · External Validation: Citing the EU Datathon win (Slide 15) provides immediate credibility for a data-heavy startup.

What is Missing

The Team: There is no mention of who is building this. Investors need to know if the founders have the data science, urban planning, or real estate expertise to execute this vision. · The Ask: The deck ends without asking for anything. A fundraising deck must specify the amount being raised, the valuation (or cap), and the milestones the funding will achieve. · Financials and Metrics: There are no mentions of current user numbers, API pings, revenue, or growth rates. Even for an early-stage company, some indication of traction beyond a contest win is necessary. · Competition: The deck ignores existing competitors like Zillow (Neighborhood scores), Localize.city, or various open-data government portals. · Unit Economics: While a 'freemium' model is mentioned, there is no explanation of the cost of data acquisition versus the revenue generated per professional user.

Founder Recommendations

Add a Team Slide: This is the most glaring omission. Highlight the technical lead's experience with GIS (Geographic Information Systems) and open data. · Quantify the Market: Instead of saying 'any location around the world,' identify the specific European markets you are targeting next and the size of the real estate data market in those regions. · Define the 'Ask': If this is a pitch deck, you must tell the investor what you need. For example: 'Raising $500k to expand data coverage to 5 additional European cities and launch the B2B API.' · Show User Traction: If you are 'working with local and international users,' show a graph of monthly active users (MAU) or a list of logos for your B2B partners. · Clarify Data Sourcing: Open data is notoriously messy. A slide explaining your proprietary 'processing' (mentioned on Slide 6) would help demonstrate a technical moat.

Frequently asked questions

What is the core problem CityScale aims to solve?: According to Slide 2 and Slide 4, the problem is the 'scale, volume and complexity of living.' Existing solutions like real estate agents are described as biased or limited, while standard services prioritize sellers. CityScale focuses on what is 'behind the walls'—the environmental factors like crime and pollution that are harder to fix than a physical apartment.
How does CityScale generate revenue?: Slide 12 outlines a 'Freemium' business model. Revenue streams include refined open data distribution through a portal and API, as well as 'Life condition valuations as a service.' The deck describes the freemium approach as a 'social responsible model,' suggesting a mix of free public access and paid professional tools.
Who is the target audience for this platform?: Slide 10 identifies a diversified target audience including current and future citizens, private companies, city specialists, and government authorities. Slide 11 further specifies refugees and temporary displaced persons as a key demographic, particularly in the context of post-war rebuilding.
What technical features are highlighted in the deck?: Beyond data visualization on interactive maps (Slide 7), Slide 8 mentions experiments with 'smart agents' like chatbots to increase accessibility. The platform also provides raw data and APIs for professional users, indicating a developer-friendly infrastructure intended for scaling.
What evidence of traction is provided?: The primary evidence of traction is the product screenshot on Slide 7 and the award mentioned on Slide 15. The company won 3rd place at the 5th EU Datathon in the 'An economy that works for people' challenge, which included a 5000 EUR prize. Slide 14 also states they are 'working with local and international users.'

Cover slide of the CityScale pitch deck — 2021 — CityScale pitch deck, slide 1 (2021)

CityScale pitch deck: the facts

Company: CityScale
Year: Not stated…
Stage: Early Stage (Datathon Winner)
Slides: 16
Sector: PropTech / Open Data
Deck type: Product / Social Impact Pitch
Outcome: 3rd Place EU Datathon Winner (5000 EUR)
Headquarters: Ukraine (.ua domain)

CityScale pitch deck PDF

The full CityScale deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the CityScale pitch deck was used for

This deck is the "CityScale – Better Data-Driven Housing" pitch shared on Slideshare, presenting a Ukraine-based data-driven housing search and analytics platform that aggregates open and private data on prices, crime, environment, transport, education and medical facilities into interactive maps. The project is associated with the EU Datathon 2021 "An economy that works for people" challenge, where CityScale is introduced as a real estate search and decision-support service based on EU and national open data. The deck positions CityScale as an early-stage application operating initially in Ukraine, with ambitions to serve individual movers, real estate professionals and public authorities; the specific fundraising round, target amount, and investors are not stated in publicly available sources. No credible external evidence has been found that this particular deck was tied to a closed equity funding round, so it is best understood as a competition / early fundraising and partner outreach deck rather than a documented venture round.

Headquarters: Ukraine
Industry: PropTech / Real Estate data platform

What the CityScale deck got right

Broad, multi-factor approach to housing data. CityScale offers a comprehensive aggregation of open data about real estate prices, crimes, pollution, transport, education, medical facilities, and utilities, giving users a multi-dimensional view of living conditions rather than just property features.
User-friendly visualisation and valuation of neighbourhoods. The platform processes and visualises data on interactive maps and provides simple model valuations, which can significantly reduce the cognitive and time burden involved in comparing different areas and choosing where to live.
Strong alignment with EU and national open-data initiatives. CityScale is explicitly framed as operating in Ukraine and using EU open data, positioning it well within the European open-data ecosystem and aligning it with public-sector and policy use cases as well as consumer housing search.
Extended features for professionals and higher accessibility. Beyond consumer visualisation, CityScale experiments with smart agents such as chatbots for higher accessibility and provides raw data and APIs for professionals, extending its value proposition to B2B and B2G stakeholders.
External validation via EU Datathon finalist status. The project’s selection as a finalist in the EU Datathon 2021 "An economy that works for people" challenge provides external validation of its concept and technical approach from a credible European institution.
Platform and ecosystem orientation beyond a single app. CityScale’s framing as an open-data portal and provider of extended solutions for other projects, authorities, and city specialists suggests a platform orientation that could support partnerships, integrations, and broader ecosystem impact.

What could have been stronger

No externally verified traction or revenue data. Neither the Slideshare deck nor EU Datathon materials provide any concrete traction metrics (user numbers, active cities, revenue, or paying customers), making it hard for investors to assess adoption or market validation beyond competition participation.
Absence of clear fundraising ask and financial plan. Available materials do not state a target raise amount, valuation, runway, or specific use of funds, so investors cannot tie the product vision to a financial plan or capital needs.
Limited externally visible information about team and governance. While CityScale is linked to EU Datathon 2021 and described as operating in Ukraine, public sources do not identify named founders, team size, or prior experience, leaving a significant gap in assessing execution risk and talent.
Unclear data rights, privacy, and regulatory approach. CityScale’s proposition relies heavily on aggregating and processing open and private data; however, externally visible materials do not detail data licensing, privacy, or compliance frameworks, which could be critical in multi-jurisdiction European deployments.

How an investor would read this deck

What draws attention

Verify CityScale’s current operational status in Ukraine, including live product, number of cities covered, and any expansion beyond Ukraine.
Assess the robustness of CityScale’s data pipeline: sources used, update frequency, data quality checks, and whether EU-level open data is meaningfully integrated with local datasets.
Clarify whether CityScale has moved beyond competition-stage (EU Datathon 2021) into a sustainable business model with freemium or enterprise customers, and obtain any evidence of paying clients.
Understand the product differentiation versus traditional real estate portals and GIS/open-data dashboards by reviewing the live interface, APIs, and any unique valuation models described in the deck.
Establish the regulatory and data-governance position, especially around combining government and private data, for future expansion across EU markets.

Risks that stand out

CityScale may still be in an early, competition-stage phase without significant traction or revenue, which could translate into high execution risk and long timelines to commercial sustainability.
Dependence on open and third-party data sources introduces potential fragility in data access, licensing changes, or quality issues, which could impact service reliability and scalability.
Operating initially in Ukraine and aiming for broader European deployment may expose CityScale to geopolitical, regulatory, and market-entry risks that are not addressed in publicly available materials.
Lack of publicly documented founders, governance structures, and investors complicates assessment of institutional robustness and alignment with responsible data use and housing policy debates.

Questions this deck invites

What is CityScale’s current user base (monthly active users, geography, and main segments) and how has it evolved since EU Datathon 2021? Please provide supporting data or analytics.
Which specific open and private data sources does CityScale integrate today, under what licenses, and how are data quality and timeliness ensured?
Has CityScale generated revenue (e.g., from premium features, API access, or B2B/B2G contracts), and if so, what are the main revenue streams and pricing models?
What commitments or recognition did CityScale receive from EU Datathon (mentorship, grants, partnerships), and how have these been leveraged in subsequent product or market development?
Who are the founders and key team members, what are their backgrounds in data science, GIS, real estate, or public policy, and how is governance structured? Please provide verifiable references or public profiles.

What founders can take from the CityScale deck

A clearly articulated, data-driven housing product that translates complex open data into accessible maps and valuations can powerfully differentiate a proptech pitch from traditional listing-based real estate services.
Positioning an application within a recognised open-data competition such as EU Datathon provides external validation of the concept and technology, but investors still need subsequent traction and business-model evidence.
Emphasising the breadth of data sources—crime, environment, transport, education, healthcare, and utilities—helps convey the multidimensional nature of housing decisions and can appeal to both consumer and policy audiences.
Highlighting extended offerings like APIs, chatbots, and open-data portals shows how a housing analytics platform can serve multiple segments (individuals, professionals, authorities) and supports platform-thinking beyond a single app.
Early-stage data platforms benefit from clear communication of operational geography and target segments; CityScale’s focus on Ukraine and EU open data illustrates how local deployment can be combined with EU-wide datasets in a coherent narrative.
Competition decks without explicit financial asks or traction metrics may be effective for awards, but can leave traditional investors without the information they need to make funding decisions, underscoring the importance of complementary investor materials.

CityScale pitch deck: common questions

What is CityScale and what does it do?

CityScale is a Ukraine-based application and web service that helps people choose where to live by visualising, comparing and evaluating living conditions—such as housing costs, crime, environment, transport, and access to education and healthcare—using aggregated open and private data on interactive maps.

How does CityScale work in practice?

CityScale operates as a data-driven real estate and living-conditions search service: it collects open data from government sources and other providers, processes and visualises the data on maps, and offers simple model valuations of areas so users can quickly compare neighbourhoods and find the best place to live.

Did CityScale win the EU Datathon or raise funding from it?

Public sources link CityScale to the EU Datathon 2021, where it competed in the "An economy that works for people" challenge as an application using EU open data; however, available information does not state that CityScale won, nor does it describe a specific financial funding round associated with the pitch deck.

Where is CityScale available and who are its users?

According to EU open data publications, CityScale currently operates in Ukraine, where it uses national and EU-level data to help residents, real estate professionals, and government officials make more informed housing and policy decisions.

What is CityScale's business model and have they disclosed any funding details?

The Slideshare pitch deck and related presentations describe CityScale as a freemium, data-driven housing platform for individuals, real estate services, specialists, and authorities, emphasising open-data portals, APIs, and extended solutions, but they do not disclose revenue figures, funding amounts, or named investors.

Sources

Funding and outcome facts on this page were researched on 2026-08-21 from the pages below.

CityScale pitch deck slides

CityScale pitch deck slide 1 of 16 — CityScale pitch deck — slide 1 of 16

CityScale pitch deck slide 2 of 16 — CityScale pitch deck — slide 2 of 16

CityScale pitch deck slide 3 of 16 — CityScale pitch deck — slide 3 of 16

CityScale pitch deck slide 4 of 16 — CityScale pitch deck — slide 4 of 16

CityScale pitch deck slide 5 of 16 — CityScale pitch deck — slide 5 of 16

CityScale pitch deck slide 6 of 16 — CityScale pitch deck — slide 6 of 16

What each slide of the CityScale pitch deck says

Slide 1

> CityScale Where is better open data-driven housing https://www.cityscale.com.ua/

Slide 2

Our goal To change how we choose a place to live It takes too much effort and responsibility, because of the scale, volume and complexity of living

Slide 3

Existing solutions Live agents They are humans too: Limited capacity, biased, opinionated Ordinary Real Estate services Cluttered and prioritize property and sellers

Slide 4

The problem They won't tell you what is behind the walls But it is our focus because you can't fix an environment as easy as an apartment

Slide 5

[es ciyseale ~ ) Reviews, maybe?... Can be helpful. If you have enough of it Need to be all read Subjective: unstructured, incomplete Can be: manipulative or even fake

Slide 6

What we do?... Aggregate open data about real estate prices, crimes, pollution, transportation, educational and medical facilities Not only from government data sources but from private ones too Process them, visualise on an interactive maps, and provide as simple model valuations

Slide 8

What we do: beyond visualization We are experimenting with smart agents Like chatbots For even higher accessibility Providing raw data and API for professionals.

Slide text above is read directly from the CityScale deck PDF embedded on this page.