We build and run our own AI products — and partner with a select few companies to build theirs. Led by a founder who has shipped and sold real products for 20+ years.
A hybrid model: we invest in our own AI products, and we take that same product discipline into a handful of partnerships.
We build and operate AI products end-to-end — and run them in production. We carry the risk, so we know exactly what it takes to ship and keep AI alive.
A few high-value partnerships at a time, end-to-end: product strategy → AI build → AWS operations. You work with the principals, start to finish.
Real systems with real users — each one stating exactly what the AI does.
A full applicant tracking system we built and run ourselves. AI works across the entire hiring lifecycle.
Hungarian speech, transcribed and summarised entirely on-device. Built for the public sector, where recordings never leave the building.
A fleet of production AI services — candidate screening, job parsing, structured evaluation — running on AWS with real SLAs, monitoring and cost control.
We start from the outcome and the P&L, not the model. AI is a means to revenue, never the pitch.
The simplest thing that works, in production, beats the clever thing in a slide deck.
Strategy → code → AWS operations. One team owns it from idea to uptime.
We design for compliance from day one — risk classification, transparency, human oversight.
EU data residency by default. Offline / on-prem when the data can't leave the room.
We size models and infra to the job. No idle GPUs, no runaway token bills.
Credibility through transparency — here's the actual stack behind the work above.
Serial product founder. Founded and exited a price-comparison marketplace (2004–2011), founded a CRM SaaS (2012), and is building an AI ATS. 20+ years turning products into revenue.
A pharmacist building neural networks since 2017 — always in fields where a wrong answer is expensive: pharma manufacturing, vaccine design, AI-driven microbiome analysis, vision-based lab instruments. He brings the regulated-domain rigour — pharma, clinical, GDPR, the EU AI Act — that this studio designs for from day one.
You work with the principals — not a layer of juniors.
Valueonboard is a product-first AI studio operating in Hungary and the EU, with two tracks: our own AI products that we fund, build, and run in production, and a small number of high-value partnerships where we build yours. IntelliHR — our flagship AI recruitment product — is the clearest proof that we ship real products, not demos.
Yes — this is Track B of our hybrid model. We take on a small number of high-value partnerships at a time, handling product strategy, AI build, and AWS operations end-to-end. You work with the principals, start to finish.
IntelliHR is our flagship AI recruitment product — an AI-powered applicant tracking system built and run by Valueonboard in production. It is the clearest proof that we ship real products, not demos.
We design for compliance from day one — EU AI Act risk classification, transparency requirements, and human oversight are built into the architecture, not bolted on. GDPR data residency defaults to EU infrastructure on AWS.
Yes. We offer on-premises and offline capability for regulated domains where data cannot leave the room. This is standard practice for the sectors we work in, including pharma and clinical environments.
You work with the principals, start to finish — not a layer of junior consultants. Both the product and technical leadership are directly involved throughout the engagement.
Engagements are end-to-end: product strategy and scoping, AI build to production grade, then AWS operations and cost discipline. We carry the accountability from first conversation through to live uptime.
Valueonboard is based in Budapest, Hungary, and serves the Hungarian and EU markets. Our infrastructure runs on AWS in the EU region by default.
Tell us what you're trying to ship. If it's a fit, you'll talk to a principal within a week.