Where programs die
Watch any AI program run by a regulated organization and you will see the same failure: the deck gets made, the advisory ends, and the advice walks out of the building - while the data never could.
About
We exist so that organizations whose data cannot leave the company never have to choose between the value of AI and the custody of their data. That choice is false - our firm exists to prove it.
Problems we solve
Validation before capital
The conviction the firm was built on: no organization should write a procurement check for hardware it has never seen run its own workloads. Validation belongs before capital - on real hardware, against real workloads, in the room with your people, while the design can still change.
One coherent method
So the firm was built around one coherent method rather than a menu of services: six ordered stages, our own GPU lab, our own agent platform, and an On-Site AI Architect at your facility. Everything this method needs, the firm owns - nothing depends on third-party hardware or a rented cloud.
What we hold to
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Proof over promise
Nothing advances without working software.
Claims are cheap at the stage gate. Every phase ends with a working deliverable - a model on the bench, a measured baseline, a deployed flow - and only that evidence opens the next phase.
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The network is sacred
Your data does not leave. Full stop.
Not to a cloud tenant, not to a shared model, not for convenience. The systems we build run entirely inside your network, and we hold that line even when it costs us speed.
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Your site, not ours
We work in your room.
Delivery is carried by an embedded On-Site AI Architect - in the room with your teams, on your constraints and your real infrastructure, there when the baseline is taken and still there when the live system is measured.
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Measured, always
Go-live is where accountability starts.
Delivery does not end at go-live; that is where our accountability begins. Systems we ship are held to live metrics, and improvements compound after the handover - the record is the numbers, not the kickoff deck.
Technology leaders
Andrzej Tuchołka, PhD CEO
Software architect and consultant in IT strategy and security - he holds a PhD in the practical applications of neural networks, with articles published in IEEE and Springer. He has built platforms for VOD, distributed compute, and networking, and led the architecture team at Spain's largest social network. He founded Private Vector AI on one conviction: the value of AI and the custody of data must not be a trade.
James Chivers
His extensive experience in building mission-critical infrastructure and AI platforms comes from startups and bigtech. At Apple he led the AIML team behind the core Siri runtime engine, and at Amazon he extended Alexa's capabilities and its software development tools. In Google's SRE organization he maintained reliability and performance across millions of servers.
Mauricio Morales
Product builder, architect, and entrepreneur with expertise in technology consulting, he works on AI-native software and, increasingly, on robotics and autonomous systems operating in the physical world. He is the founder and CEO of DailyBot, a Y Combinator-backed company. He also invests in and partners with early-stage teams across AI, robotics, autonomy, and mobility.
Borys Lubera
A senior technology leader, he works across IT services strategy, business transformation, and the co-creation of products, services, and value. He has delivered application services and key initiatives in more than 20 countries. He also leads the strategy and management of vendor partnerships for systems that support enterprises and institutions.
Management team
Agnieszka Ostoia
Business Development
Her fifteen-year finance career began in banking, where she successfully offered services and products… Read more
Her fifteen-year finance career began in banking, where she successfully offered services and products to medium-sized businesses. She also led regional Private Banking teams of financial advisors, building regional structures from the ground up. In later years she worked with an economic-advisory consultancy. In her work she is always guided by care and thoroughness.
Rafał Pieczyński
Business Operations
Carries engagement operations end to end: resourcing, partnership management, and delivery continuity across regions. Read more
Carries engagement operations end to end: resourcing, partnership management, and delivery continuity across regions. If a project needs specialists the management team does not employ in-house, he assembles the team.
Efraim Aizenman
Finance
He has spent over ten years in startup, e-commerce, and SaaS finance, building financial systems… Read more
He has spent over ten years in startup, e-commerce, and SaaS finance, building financial systems from scratch and keeping books audit-ready. Expert in full-cycle accounting, GAAP compliance, and revenue recognition (ASC 606), he optimizes financial workflows and turns complex financial data into insight the business can act on. He brings strategy and clarity to the management team.
Francisco Ortiz von Bismarck
Strategy
Prominent angel investor and entrepreneur, known for co-founding successful ventures like Tuenti and Inception Capital. Read more
Prominent angel investor and entrepreneur, known for co-founding successful ventures like Tuenti and Inception Capital. He has built a solid reputation in the venture capital sector and is recognized for his strategic investments in high-growth industries.
Karolina Tuchołka, Attorney-at-Law
Legal
Leads her own law practice in Poznań, advising entrepreneurs, companies, and public institutions across civil… Read more
Leads her own law practice in Poznań, advising entrepreneurs, companies, and public institutions across civil, commercial, contract, and criminal law. As an attorney-at-law she represents clients before the common courts at every stage - from negotiation and mediation through preparatory proceedings to trial.
Built with partners
Our strength is agility and flexibility. Through numerous partnerships we can assemble a broad, interdisciplinary team of specialists, capable of delivering projects of large scale and complexity.
How we build
Every engagement runs the same six-stage methodology - validated in our own GPU lab before capital commits, with agents adapted from the Hefty toolbox. The detail lives on the methodology pages.
Read how we engage