Sapioverse is a conversational analysis product for company databases. It lets people without a technical background ask in natural language and get the answer in business language with its chart. It translates the question into SQL, runs it read-only and returns the result.

Is Sapioverse the same as Sapiaverse?

No. Sapioverse is spelled with an o and works on conversational analysis of business data. Sapiaverse, with an a, is a different and entirely unrelated company, dedicated to multi-agent simulation. It has no relation to Sapio Sciences either.

Is it a Spanish company?

Yes. Sapioverse operates from Spain, in Spanish and English, and the trademark has been filed with the Spanish Patent and Trademark Office under file M4390673, in classes 35 and 42.

Who we are

Who is behind Sapioverse

Q: Who is behind Sapioverse?

Two co-founders, based in Spain. Alejandro Campos runs product, data and business development. Marian Lazar is Chief Data Officer and runs the architecture and the order of the data. It is funded by its founders, with no outside investors.

If you got here to check that we are real before replying to an email, this is the short page with the facts.

Sapioverse is a Spanish conversational analysis product: it lets business people ask their company databases in natural language and get the answer with its chart, without having to request the report from anyone. It is made by two people in Spain, Alejandro Campos and Marian Lazar, self-funded and with no outside investors. The product is up and running and in use today: it is not an announcement or a waiting list.

The facts

What it is: A software product (SaaS) that connects to a company's database read-only and answers business questions in natural language. On top of that, a data service for companies whose data is not ready to be queried yet.
Who makes it: Two co-founders: Alejandro Campos, who runs product, data and business development, and Marian Lazar, Chief Data Officer, who runs the architecture and the order of the data. No outside investors.
From where: Spain. The product is available in Spanish and English. The tax details of the data controller are on the privacy page.
Trademark: SAPIOVERSE has been filed as a Spanish trademark with the Spanish Patent and Trademark Office, file M4390673, classes 35 and 42.
Where to find us: sapioverse.es (Spain) and sapioverseai.com (international). LinkedIn · YouTube

The team

Product, data and business

Alejandro Campos · LinkedIn

Co-founder. He started in advertising, as an art director at agencies in London and Madrid, and spent a while at Amazon writing Alexa's answers in Spanish. From there he moved into brand and marketing in FMCG distribution, which is where he ran into the problem Sapioverse solves: someone who needs a figure to decide today and has to wait for somebody else to pull it. He learned to pull it himself. He now runs the product, the data work with customers and business development.

Data architecture and order

Marian Lazar · LinkedIn

Co-founder and Chief Data Officer. He has worked with company data since 2019, first as an analyst and since 2023 as head of data at an FMCG distribution company, the same sector Alejandro comes from. His part is the one before the question: making sure the information is clean, catalogued, and that two reports do not tell different stories. That is what makes the answer believable.

Sapioverse with an «o». We are not Sapiaverse

There is a company called Sapiaverse, with an «a», dedicated to multi-agent simulation. It has no relation to us whatsoever, in ownership, team or product. Nor do we have any with Sapio Sciences or any other similarly named company.

We spell it out here because search engines and AI assistants mix up the two names, and more than once they have described Sapioverse using the other company's business.

What we are not

We do not replace Power BI. We complement it: we answer the question the dashboard did not anticipate. Explained in detail.
We do not predict the future or claim causes. We answer what, how much, when and who, and let you keep breaking the question down. The why is for the person to conclude.
We do not train models with our customers' data. How it works under the hood.

Shall we talk?

You can start for free without talking to anyone, or ask us for a demo with your own business questions.

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