Vivilo’s €628K Round Tests AI Event Media Beyond Sport

Vivilo’s €628K pre-seed round gives the Italian artificial intelligence (AI) event content startup €628,000 to expand a platform that finds participants inside event footage, generates personal photos and clips, and gets them to buyers shortly after an event ends. The company, formerly Jubatus, is moving from sports video roots into motorsport, festivals, trade fairs, concerts and community events.

The bet is narrow enough to look unglamorous beside bigger AI funding announcements. It also sits on a stubborn production problem: mass events create thousands of images, and each person usually wants only the handful that prove they were there.

A Small Round for a Heavy Workflow

Vivilo said the pre-seed was backed by a group of Italian investors that included entrepreneurs, executives, engineers, lawyers and technology professionals. The company did not disclose valuation, individual cheque sizes or the ownership sold in the round.

• €628,000 was raised for marketing, brand awareness, product development and hiring.
• Three founders were named in the announcement: Logan Para, Marco Ciabini and Gionata Manduchi.
• The recognition layer can identify faces, race numbers, objects, vehicles and other visual elements in event footage.
• Participants can buy, download and share generated photographs, clips and short-form videos after an event.

Small rounds need more discipline than large ones because the margin for wasted product work is thin. Vivilo’s disclosed use of funds puts revenue work and model work in the same budget: brand awareness, commercial growth, team expansion and product depth all sit on the funding plan.

From Jubatus to Vivilo

Before the name change, the company traded as Jubatus. Cesenalab’s startup profile for Jubatus described the startup as an AI videomaking team focused on large sports events, with customized reels and race movies generated for each participant through an internally developed recognition algorithm.

An older Emilia-Romagna StartUp company page placed the business in Cesena and identified it as a limited liability company working with organisers and competitions. The page said the system used AI to identify athletes and compose individual memories of a course within a few hours. It also listed the plan to move beyond sport into stadium matches, concerts, track circuits and festivals.

Vivilo was born from a simple observation: participants often invest significant time and effort into an event, yet have limited access to professional content that captures the experience.

Logan Para, Vivilo’s chief executive and co-founder, said that in the funding announcement. Para added that the money would help the company accelerate commercial growth, strengthen the platform and expand into motorsport, festivals, trade fairs, concerts and community events.

The Product Sits After the Camera Cut

Vivilo can work after a venue’s cameras have already done their job. The company works with organisers and content production partners, then applies recognition after footage exists. The public-facing flow is simple: identify the participant, assemble the relevant media, make the file available for purchase or download.

Camera automation is moving through live media from several directions. Thunder Tiger Europe recently covered Muybridge’s software-defined broadcast cameras, a separate push aimed at changing how footage is captured. Vivilo’s round concerns the layer after capture, where the archive turns into a personal product.

Motorsport Pushes the Recognition Stack

Part of the new money is earmarked for motorsport recognition. Vivilo specifically named motorcycles, cars, helmets and vehicle models as targets for further development. Those categories sit beyond the face and race-number matching used in running events.

In a triathlon or marathon, a race number gives the software a visible label when the camera angle cooperates. On a track, helmets hide faces, vehicles move faster, and several entrants may share a similar silhouette. A clip that goes to the wrong rider or driver creates an immediate refund problem.

The motorsport work also changes the sales conversation. A rider wants footage of their own overtake, spin or finish. An organiser wants the delivery automated enough that the content team is not sorting helmet colours late into the night. Vivilo has named the technical target; the round gives it room to test that target across faster, messier footage.

Why Organisers May Pay

Vivilo is selling into a market with budget. Grand View Research’s event management market report estimated global event management revenue at $1,160.4 billion in 2024 and said Europe held a 34.86% revenue share. The same firm’s event management software forecast expects the software market to reach $17.33 billion by 2030, growing at a 13.2% compound annual growth rate from 2025 to 2030.

Those market figures are broader than Vivilo’s niche. The budget context helps explain why organisers are testing narrow software: registration, ticketing, analytics and engagement already sit in the stack. A participant media checkout can be added without changing the venue or the ticket inventory.

• Participant sales can add post-event revenue after ticket inventory is fixed.
• Sponsor content travels farther when attendees share branded clips from their own accounts.
• Production teams can reduce gallery search time before the next event starts.
• Organisers gain a service to sell during registration, at the finish area or in follow-up messages.

Privacy Travels With the Upside

Recognition products that touch faces need a clean consent and data path in Europe. The European Union’s General Data Protection Regulation (GDPR, the EU privacy law) definition of biometric data covers personal data from technical processing of physical, physiological or behavioural characteristics that allows or confirms unique identification, including facial images. Vivilo’s public materials discuss face recognition for event media, so organisers will need clear notices, lawful basis, retention rules and deletion routes.

The European Union’s Artificial Intelligence Act (AI Act) Service Desk biometrics guide gives media archive facial recognition as an example of remote biometric identification when content is compared against a reference database without active involvement. Event photo delivery can be designed around active participant search, such as a selfie upload or race number lookup, but the distinction has to be engineered and documented.

Data control is becoming a selling point across AI workflows. Thunder Tiger Europe’s coverage of Archestra.AI’s seed round on sensitive data access was about enterprise agents, yet the buyer question carries over: who can touch the data, where it is stored and how the audit trail is kept.

The Test Moves Beyond the Finish Line

Vivilo’s old Jubatus footprint gave it a sports proof point: personalised race movies for athletes, delivered after mass participation events. The new brand has to prove the same habit forms around other formats, where the participant may be a fan, a rider, an exhibitor or a visitor.

The company says it is already profitable. It has also said it is exploring international expansion, with longer-term plans for a United States presence. Those two claims give the funding round practical tests that have little to do with demo videos.

• Organisers outside sport have to package personal content as a paid add-on.
• Motorsport recognition has to cope with helmets, vehicles and fast camera movement.
• Production partners have to accept the platform as a distribution layer after they shoot.
• Consent flows have to stay simple enough for crowded live venues.

For now, the company has enough capital to find out. A €628,000 round buys a small team time; the harder measure arrives when event participants start paying for their own clip before the next crowd leaves the venue.