Our mission is to empower technology
entrepreneurs to make a mark on the world
thanks to better understanding of data

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Data Ventures is a service-oriented, early stage venture capital firm bridging the gap between CEE & Global startup ecosystems. We specialise in data analytics technologies for B2B.
We invest in projects which automate processes, eliminate middlemen and reduce information asymmetry within markets to make them more efficient. We focus on Fintech, DevTools, SaaS verticals and Artificial Intelligence, Blockchain, Big Data technologies.

About

No small ideas.
Built to last.

We set several rules which distinct us from all other VC firms:

  • We invest in CEE-based disruptive ideas which can completely change economic landscapes in the chosen industries,
  • We mostly invest at Seed stage. We prefer post-MVP projects.
  • We only invest in our areas of competencies (technology - driven B2B companies).
  • We are rooted in a global startup ecosystem, closely cooperating with top-tier international angel investors, accelerators and vc funds.
  • We are Founder-centric, with help-but-not-disturb mentality.
  • We invest 100k to 500k EUR but we can consider investing smaller/larger amounts in interesting ideas and technologies.
  • We use fair & up-to-par with global standards deal terms.
  • We help with smart investment planning and advocating for international expansion & further fundraising from day 1.
  • We support in the long run - we know it takes time to build global winners.

  • We build companies to last.

Investment Motifs

Artificial Intelligence

About

Data processing and analytics stand for the main competitive advantage for most of the businesses in the years to come. Companies started to analyse massive amounts of data and derive predictive insights to beat their competitors.

Why now

Accelerating adoption of AI / Machine Learning stack by a broader set of companies, ranging from medium-sized to the very largest multinationals.

Areas of interest

chat bots, data integration and visualisation, machine learning, real-time analytics, deep learning, search, industry application of analytics tech, pattern recognition.

Blockchain

About

Bitcoin the digital currency was the first successful application of blockchain. The technology allows disintermediation of business models by eliminating trusted 3rd parties from value chains. The ultimate goal of this technology stack is to liberate the data and empower the users.

Why now

Now, innovative startups are using blockchain technology to provide greater efficiency, transparency and security in all sorts of industries.

Areas of interest

smart contracts – digital rights, escrow, wagers; record keeping for ownership, voting, ownership, compliance; digital currencies – payments, value transfer, remittance, P2P lending, decentralised apps stack

Big Data

About

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organisations make more-informed business decisions.

Why now

Companies sit on large data sets and have just started a transformation from traditional business models into data centric models.

Areas of interest

Hadoop/Spark/No-SQL DB/Graph DB/MPP DB tools, undesrstanding and targeting customers, optimising and automating business processes (incl. RPA), intelligent search, fraud and risk detection

DevTools

About

Programming seems to be a next industry to be disrupted by automation of code writing, testing, software deployment and management.

Why now

Record high cost of hiring engineers forced companies to focus more on automation and increased efficiency of programmers. DevOps and automated testing are the concepts that have catalysed into a movement and are rapidly spreading throughout the technical community.

Areas of interest

tools for microservices, provisioning, CI, monitoring, cloud IaaS/PaaS, build/config management, release management, deployment, logging, repo management, software testing, tools assisting in software development

Fintech

About

Financial Industry was for years one of the the least vulnerable for disruption in the economy. FinTechs are a group of startups aiming for disintermediation and defragmentation of traditional financial business models.

Why now

Now it’s perfect time to get off the bench: over 20% of Financial Services businesses are at risk to FinTechs and the industry is growing at exponential pace. We bet on both horizontal and vertical unbundling of financial industry.

Areas of interest

digital and mobile payments, roboadvisors, smart insurance solutions, new generation brokerage servies, financial market data, B2B lending and receivables, alternative equity financing, alternative assets, anti-fraud

SaaS

About

SaaS is the essence of whole cloud computing idea. Services delivered over the Internet have no technical limits to make a global impact.

Why now

All companies fit into one of two buckets: either becoming a software company or being disrupted by one. Every industry is being fundamentally altered by software.

Areas of interest

specialised vertical SaaS products for enterprise, data-as-a-service, platform-as-a-service, analytics-as-a-service, APIs, tools for SaaS apps administration

About

Data processing and analytics stand for the main competitive advantage for most of the businesses in the years to come. Companies started to analyse massive amounts of data and derive predictive insights to beat their competitors.

Why now

Accelerating adoption of AI / Machine Learning stack by a broader set of companies, ranging from medium-sized to the very largest multinationals.

Areas of interest

chat bots, data integration and visualisation, machine learning, real-time analytics, deep learning, search, industry application of analytics tech, pattern recognition.

About

Bitcoin the digital currency was the first successful application of blockchain. The technology allows disintermediation of business models by eliminating trusted 3rd parties from value chains. The ultimate goal of this technology stack is to liberate the data and empower the users.

Why now

Now, innovative startups are using blockchain technology to provide greater efficiency, transparency and security in all sorts of industries.

Areas of interest

smart contracts – digital rights, escrow, wagers; record keeping for ownership, voting, ownership, compliance; digital currencies – payments, value transfer, remittance, P2P lending, decentralised apps stack

About

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organisations make more-informed business decisions.

Why now

Companies sit on large data sets and have just started a transformation from traditional business models into data centric models.

Areas of interest

Hadoop/Spark/No-SQL DB/Graph DB/MPP DB tools, undesrstanding and targeting customers, optimising and automating business processes (incl. RPA), intelligent search, fraud and risk detection

About

Programming seems to be a next industry to be disrupted by automation of code writing, testing, software deployment and management.

Why now

Record high cost of hiring engineers forced companies to focus more on automation and increased efficiency of programmers. DevOps and automated testing are the concepts that have catalysed into a movement and are rapidly spreading throughout the technical community.

Areas of interest

tools for microservices, provisioning, CI, monitoring, cloud IaaS/PaaS, build/config management, release management, deployment, logging, repo management, software testing, tools assisting in software development

About

Financial Industry was for years one of the the least vulnerable for disruption in the economy. FinTechs are a group of startups aiming for disintermediation and defragmentation of traditional financial business models.

Why now

Now it’s perfect time to get off the bench: over 20% of Financial Services businesses are at risk to FinTechs and the industry is growing at exponential pace. We bet on both horizontal and vertical unbundling of financial industry.

Areas of interest

digital and mobile payments, roboadvisors, smart insurance solutions, new generation brokerage servies, financial market data, B2B lending and receivables, alternative equity financing, alternative assets, anti-fraud

About

SaaS is the essence of whole cloud computing idea. Services delivered over the Internet have no technical limits to make a global impact.

Why now

All companies fit into one of two buckets: either becoming a software company or being disrupted by one. Every industry is being fundamentally altered by software.

Areas of interest

specialised vertical SaaS products for enterprise, data-as-a-service, platform-as-a-service, analytics-as-a-service, APIs, tools for SaaS apps administration

Contact

Every journey starts
with a single step.
Drop us a line!

Wyrażam zgodę na przetwarzanie moich danych osobowych przez Data Ventures Sp. z o.o. w celu kontaktów biznesowych z Data Ventures Sp. z o.o. Szczegółowe informacje dotyczące przetwarzania danych osobowych znajdują się pod linkiem dataventures.io/gdpr

You can also come and enjoy coffee with us!

Data Ventures

Head Office
Rozbrat 6/18
00-451 Warsaw, Poland

HQ
Wloclawska 161
87-100 Torun, Poland

Submit a project

Turn your great business ideas into reality.

Data Ventures Sp. z o.o. (wcześniej Data Invest Sp. z o.o.) realizuje projekt pt. „Data Fund 1 – wyspecjalizowany w technologii big data fundusz typu seed z głównymi obszarami zainteresowania: branża finansowa (fintech), bezpieczeństwa IT, technologiczna, SaaS, Internet Rzeczy, Sztuczna Inteligencja” dofinansowany ze środków Unii Europejskiej w ramach Programu Operacyjnego Inteligentny Rozwój 2014-2020.
Działanie 1.3. Prace B+R finansowane z udziałem funduszy kapitałowych.
Poddziałanie 1.3.1. Wsparcie projektów badawczo-rozwojowych w fazie preseed przez fundusze typu proof of concept – BRIdge Alfa

Wartość projektu: 15 000 000 zł
Dofinansowanie projektu z UE: 12 000 000 zł

Bridge Alfa