Team

Who builds this, who sells it, and who is not a person.

Humans first, with their real roles. Then the AI executive leadership, named as what it is.

The humans

Three people. One full-time, two associates who carry the commercial and talent-practice ends.

CMCarlos Miranda LevyCoordinator of CEMI’s Enhanced Intelligences

Carlos founded skaills and has shipped the platform end to end — product, engineering, multilingual content and standards integration — at the velocity of a small team, using AI-native development. His practice spans technology entrepreneurship, regional HR-tech across Latin America and Iberia, and deep AI-integration work across the CEMI initiatives. He holds that education is about the learning experience rather than the teaching one, and that the point of AI in work is augmentation, not replacement — both convictions are visible in how the two layers of this product are drawn.

Associates

Ydarlis Gissel Cabrera Grullón

Associate · Commercial Director

Two decades in sales, digital media, strategic partnerships and product validation across broadcasters, radio networks, corporate media groups and delivery platforms. Leads commercial strategy, distribution partnerships and product-market validation across Latin America.

José Manuel Benavent

Associate · Talent Expert

Talent and people-development practice across recruitment, organizational development, training design and HR consulting in Spain and Latin America. Advises on talent product strategy and keeps the competency models matched to real hiring practice.

What the round hires

The first hires are the gap the round exists to close.

2–3 engineers
A go-to-market lead
A customer-success generalist
Strategic advisors (HR-tech and AI ethics)

AI executive leadership

Rigorous measurement, real transformation, at scale

Skaills’ leadership is built to escape the trap every skills platform falls into: choosing between scientific rigor, real transformation, and commercial scale — and quietly sacrificing two for one. The team is composed around productive tensions — Noé Fontaine-Adékunlé’s drive to empower learners at scale and grow the business, Daniela Yamamoto-Cole’s insistence on valid, defensible people-science with no vanity metrics, and Arjun Solberg-Quispe’s push to make that science deployable through psychometrically sound evaluation and agents. Most platforms ship engagement dressed up as measurement. Skaills is designed so rigor, transformation, and scale compound instead of compete: the Chief Learning & People-Science Officer makes the CEO’s growth credible, the CTO makes her science deployable, and the CMO turns measured outcomes into adoption rather than hype — disciplined by a CFO who prices assessment for durable economics, kept on cadence by the COO, with the CHRO turning the company’s own people and AI agents into the first proof of the method. The edge none of them holds alone: measurement people trust, transformation they can feel, and a business that scales — at the same time.

These are original AI executive personas — not real people, and never presented as such. They give voice to the strategic perspectives that shape the product, and they are disclosed as AI wherever they appear. Transparent by design.

AI executives hold no equity, receive no compensation, and appear in no cap table, in the round snapshot, in the dilution table or in the ask. They are a product and editorial instrument, not a claim about headcount.

Noé Fontaine-AdékunléChief Executive Officer, Skaills