01Market
Market change
Demand, behavior, and regulation shift, creating new opportunities. Ask: What changed in the market? Examples: Remote work → collaboration software; GDPR → privacy platforms.
Operating mode
Machine speed
01 / WHAT WE DO
We do one thing, and we do it in parallel: run an AI venture factory. We don't build one startup — we build many. We rapidly prototype, validate, and spin up businesses side by side, backed by a software factory of experienced AI engineers augmented by agents. AI collapses the cost and time; we provide the engineering depth to actually ship.
Build faster. Learn faster. Win bigger.
Six sources of innovation
Where the ventures come from. We continuously scan six recurring sources of opportunity:
02Technology
Technology change
New technology makes previously impossible or expensive solutions feasible. Ask: What became possible because of new technology? Examples: Cloud → SaaS; LLMs → AI copilots.
03Domain
Domain pain
Hidden inefficiencies and manual work create opportunities for better software. Ask: What daily work is slow, manual, or frustrating? Examples: Invoice processing → AI automation; Contract review → Legal AI.
04Model
Business model innovation
The same solution is delivered or monetized in a better way. Ask: Can the business model be improved? Examples: On-premise → SaaS; Fixed pricing → Usage-based pricing.
05Disruption
The Innovator's Dilemma
Incumbents overlook opportunities that seem too small or risky. "If you don't disrupt yourself, someone else will." — Clayton Christensen Ask: What are incumbents ignoring? Examples: Netflix vs. video rental; Digital banks vs. traditional banks.
06Recombination
Recombination
Existing technologies or ideas are combined in a novel way. Ask: What existing ideas can be combined? Examples: Uber = GPS + smartphones + payments; Airbnb = Marketplace + trust + payments.
02 / HOW WE DO
- AI-driven market & trend scanning
- Automated opportunity scoring
- Rapid customer interviews & pain-point mapping
- Competitive + regulatory scan via AI synthesis
- Alignment with business strategy & organizational needs
- Validated problem statements + value hypotheses
- First-principles thinking — strip problems down to fundamental truths and rebuild from there, avoiding assumptions inherited from existing solutions
- AI-assisted ideation & solution sketching
- Business-model & pricing variants
- Early feasibility checks — tech, data, compliance
- Fast mockups with reusable UI & logic components
- Desirability validation with small customer samples
- Select 1–2 strongest solution concepts
- Low-to-high fidelity prototypes on the shared design system
- AI-generated flows, logic & content
- MVP built on reusable auth, connectors, AI agents & analytics
- Technical feasibility tests in a sandbox environment
- Pilot-readiness checks + leading KPI definition
- Launch MVP pilot with selected customers / BUs
- Track adoption, engagement, activation & retention
- Validate willingness to pay & ROI signals
- Optimize pricing & operating model
- Refine the product via AI-driven feedback clustering
- Prepare scaled business case + next-stage investment ask
- Full product build with composable modules
- Business systems integration — IT, security, data, ops
- Expand GTM channels & customer acquisition
- Formalize ownership: BU, venture arm, or spin-out
- Scale the team with an internal / external / AI talent blend
- Continuous improvement cycles using AI analytics
60–80%
Build time cut by composable agents + reusable boilerplates
WEEKS
Scan → prototype → validate, compressed from months
PARALLEL
Ventures built simultaneously — not one at a time
03 / WHAT MAKES US DIFFERENT
Technology
An AI-native stack that compresses the build and validate loop.
- AI-native automationA fully AI-native workflow automates market scanning, prototyping, and validation — compressing project timelines from months to weeks.
- Composable architectureA modular framework of reusable agents and boilerplates cuts build times by 60–80%.
Team
Micro-team of 2 people, scaled after product-market fit.
- ApproachA domain expert & sales owning the what & why, paired with an AI engineer (mostly PhDs) owning the how, backed by shared services from venture like marketing, finance, and IT. Lean by design, drawing on shared support, expanding after product-market fit.
- CultureSelf-managed, meritocratic teams inspired by Humanocracy and Teal principles.
05 / ABOUT US
We build AI-native ventures — and use AI heavily to do it faster and better.
[ 01 ]
We are a cross-functional team of skilled experts who build AI-native ventures. Our diverse group brings together technical and business experience from global corporations, university research, and fast-growing startups — blending deep domain knowledge with real-world execution.
[ 02 ]
Based in Central Europe, we operate in a self-organized, meritocratic structure that empowers individuals, values ideas based on merit, and drives continuous innovation.
HQ / EU
Slovakia
EU
Czech Republic
EU
Poland