Elisenda Bou-Balust

Who they are

Elisenda Bou-Balust is CEO & Co-Founder of Cala — previously co-founded Vilynx, an AI video understanding company acquired by Apple, and also founded EstimTrack, a machine learning tool for optimizing patient flow in hospitals.

Person

Elisenda studied Telecommunications Engineering and completed a PhD in Electronic Engineering and AI at the Polytechnic University of Catalonia (UPC), where she also stayed on as an affiliated researcher and professor — a signal that her technical roots run deep. From academia she moved into an Applied AI and Information Retrieval Lead role before co-founding Vilynx, an AI company specializing in video understanding and semantic search that was acquired by Apple. After Apple, she didn't go corporate — she co-founded Cala, an AI infrastructure company building the data layer for AI agents, powered by trustworthy and explainable data. She has also founded EstimTrack, which applied machine learning algorithms to optimize patient flow in hospitals. Possibly — the EstimTrack project predates or overlaps with Vilynx, suggesting she was running applied AI experiments in parallel before the video intelligence bet paid off. The through-line is deep technical conviction applied at the model layer: video semantics, patient logistics, now AI agent infrastructure — always building the substrate, not the application on top. She writes on LinkedIn about AI agents, data infrastructure, and the Barcelona AI scene, and spoke at 4YFN Barcelona in March 2026 on the shift from SaaS to an agent-driven economy.

Network

No edge data is available for Elisenda's direct network. She is embedded in the Barcelona tech community — a featured speaker at Startup Grind Barcelona, 4YFN, MWC Barcelona, and TechSpirit Barcelona — and holds an affiliation with UPC, which likely anchors ongoing ties to the Spanish academic AI community.

How they likely show up

PhD research background at UPC followed by founding two technical companies → likely operates from first principles, not frameworks; expects depth in any technical conversation.
Co-founded Vilynx (acquired by Apple) then immediately started Cala rather than taking a senior role → high agency, chooses the hard path by default.
Founded EstimTrack (hospital patient flow ML) alongside Vilynx → comfortable running parallel bets; probably impatient with single-track thinkers.
Speaking at 4YFN March 2026 on 'From SaaS to Agent-Driven Economy' → has a clear macro thesis she is actively evangelizing, not just building quietly.
Affiliated researcher and professor at UPC while founding companies → values intellectual rigor and is likely precise about language, especially around AI claims.
Possibly — early-stage company (1-10 employees at founding) → accustomed to doing everything herself; may be skeptical of overhead-heavy processes.

Conversation tips

→ Come with a specific technical question about AI agent infrastructure or data trustworthiness — she built the stack herself and will engage at that level immediately.
→ Reference the Vilynx-to-Apple arc specifically, not generically — she has a concrete story about what it takes to build AI that a major acquirer finds credible.
→ Her 4YFN 2026 talk framed a macro shift from SaaS to agent-driven economy — ask her where she thinks the inflection actually is, not whether it's coming.
→ She teaches and researches at UPC; she'll appreciate precision. Don't use 'AI' as a hand-wave — be specific about what layer you mean (model, data, orchestration).

Toolbox

Openers

Open on the Vilynx acquisition by Apple — she built an AI video understanding company from Barcelona to a Big Tech exit, and the story of what made it credible to Apple is a natural conversation starter.
Reference her 4YFN March 2026 session 'From SaaS to Agent-Driven Economy' — she gave this talk three months ago and it reflects her active thesis; asking what's changed since will land better than asking what she believes.
Mention EstimTrack — most people know Vilynx, but she also built ML for hospital patient flow optimization, which signals a range of applied AI instincts that goes well beyond the video intelligence story.

Discovery questions

When you were building Vilynx, what did Apple's diligence process reveal about what they actually valued in your AI — and how has that shaped what you're building at Cala?
Your 4YFN talk framed the shift from SaaS to an agent-driven economy — where specifically do you think the data infrastructure breaks down today when enterprises try to make that move?
EstimTrack applied ML to hospital patient flow and Vilynx tackled video semantics — very different domains. How do you decide which problem is worth founding a company around versus just solving it as a research project?

Avoid

Don't make vague claims about AI being 'trustworthy' or 'explainable' without specifics — that's the exact problem she is building a company to solve, and she will push back hard if the language is sloppy.

Make it yours