Private Equity

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Pragmatech

Pragmatech is a technology sector company founded in 2019 in Warszawa, Poland. It offers services such as web and mobile application development, graphic...

Pragmatech logo

Pragmatech

Pragmatech is a technology sector company founded in 2019 in Warszawa, Poland. It offers services such as web and mobile application development, graphic design, and website creation. Pragmatech serves sectors that require online experiences and technology solutions.

General information

Firm type

Private Equity

Year founded

2020

AUM

Undisclosed

Location

Region

Europe

Country

United Kingdom

City

London

Corporate office

London, United Kingdom

Principals

Evgeny

Investor

Artem

Investor

Sector focus

AI/MLEnterprise Software

Frequently asked questions

Who runs investment decisions at Pragmatech?

Principals Evgeny and Artem lead investment activities, according to the firm's website. Portfolio company founders describe them as hands-on operators involved in sales and strategic decisions.

How does Pragmatech source proprietary deal flow?

Pragmatech emphasizes its operator background and a specific thesis around three defensible moats — Workflow Ownership, Trust Layer, and Distribution Lock — which likely acts as a sourcing filter to identify AI-native teams before they become widely shopped.

What is Pragmatech's investment focus?

The firm targets early-stage, AI-native European startups building in four areas: AI-powered workflow software, trust-heavy real-world workflows, software-led service delivery, and managed marketplaces.

Does Pragmatech lead rounds or mainly co-invest?

Pragmatech's investment posture is not publicly detailed beyond its description as a venture capital firm. Founder testimonials suggest the firm takes an active, hands-on role, which may imply concentrated or lead positions.

What is Pragmatech's view on AI risk in portfolio companies?

Pragmatech explicitly invests in companies with a 'Trust Layer' — a regulated license, proprietary data, or a trusted brand — believing these attributes create competitive durability that improvements in large language models cannot erode.

Profile maintained by using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.

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