Wojciech “Wojo” Krupa CTO · Founder · Engineer
AI strategy, architecture & execution.
I help companies turn AI ambition into production systems that actually work.
Co-Founder & CTO, Knowde Former LinkedIn Staff Engineer Builder and investor in AI companies
SIMSAR sits between seem and real.
AI can make almost anything seem real. Demos are convincing right up until they encounter real data, real workflows, real users, regulation, legacy systems, and scale.
My work has always been about crossing that arrow.
Make AI real.
- 01
Find the opportunity
Identify where AI materially changes economics, operations, customer experience, or product advantage.
- 02
Design the system
Define architecture across data, models, agents, software, integrations, evaluations, security, and human oversight.
- 03
Make it real
Stay involved through prototype, engineering, vendor selection, organizational change, and production.
AI & Agentic Systems
LLMs, agents, RAG, document intelligence, voice AI, evaluations, orchestration, human-in-the-loop systems.
Architecture & Engineering
Distributed systems, APIs, cloud, modernization, engineering organizations, technical strategy.
Search, Data & Knowledge
Information retrieval, relevance, acquisition, enrichment, entity resolution, knowledge systems.
Vertical AI
AI embedded into complex industry workflows and operating systems, rather than generic AI interfaces.
Technology Leadership
CTO strategy, technical roadmaps, build-vs-buy, team design, diligence, transformation.
These companies are also my laboratory. Much of what I advise companies about is technology I am actively building, deploying, and operating.
CEOs & boards
“We know AI matters, but I do not trust that we are making the right architecture, workflow, data, or build-vs-buy decisions.”
CTOs & CIOs
A capable team that needs senior judgment on AI architecture, search and data design, engineering transformation, or a consequential platform decision.
Operating companies
Information-heavy, workflow-heavy, regulated, or legacy-rich environments where a generic SaaS purchase will not solve the core problem.
PE firms & investors
Is the AI or technology story real? Where is the risk, what is the data advantage, and where is post-close value creation plausible?
Deep operating experience in industrial and chemical markets, real-estate and affordable-housing operations, and enterprise software — without limiting the work to them.
What are you trying to make real?
If you’re making an important decision about AI, technology, architecture, or engineering — or trying to move an ambitious idea into production — I’d be interested in hearing about it.
Discuss an AI initiative