SciTransfer
Organization

SEERVISION AG

Zurich-based AI startup building autonomous robotic camera systems for live video production and motion tracking.

Technology SMEdigitalCHSMENo active H2020 projects
H2020 projects
3
As coordinator
3
Total EC funding
€1.8M
Unique partners
0
What they do

Their core work

Seervision develops AI-powered autonomous robotic camera systems for live video production. Their technology uses machine learning to track objects and people, enabling smooth, multi-camera operation without dedicated human operators — dramatically reducing costs for live events, broadcasts, and studio productions. They also work on vision-based motion capturing using skeletal kinematics analysis, extending their computer vision expertise into movement prediction and tracking.

Core expertise

What they specialise in

Autonomous robotic camera systemsprimary
2 projects

Multi RoboDOP Phase 1 and Phase 2 both focused on multi-camera autonomous robotic cameramen for live video production.

AI-based object and person trackingprimary
2 projects

Multi RoboDOP Phase 2 keywords include tracking objects, machine learning, and artificial intelligence for smooth camera motion.

Vision-based motion capturingsecondary
1 project

SeerPredict focused on skeletal kinematics analysis for vision-based motion capturing, extending their computer vision capabilities.

Live event production automationprimary
2 projects

Both Multi RoboDOP projects target cost-effective live video production through full automation of camera operation.

Evolution & trajectory

How they've shifted over time

Early focus
Robotic camera feasibility
Recent focus
AI-driven video automation and motion prediction

Seervision's H2020 trajectory shows a textbook SME instrument scale-up. They started in 2018 with a feasibility study (Multi RoboDOP Phase 1, €50K) and progressed to the full Phase 2 project in 2020 (€1.5M), indicating successful commercial validation. In parallel, they branched into motion prediction with SeerPredict, suggesting a deliberate expansion from reactive camera tracking toward predictive motion analysis — a natural technical progression for their core AI vision platform.

Seervision is moving from basic autonomous camera control toward predictive AI that anticipates movement, positioning them for broader applications beyond live events (security, sports analytics, telepresence).

Collaboration profile

How they like to work

Role: consortium_leaderReach: Local

Seervision operates exclusively as a solo coordinator — all three projects were SME instrument grants with no consortium partners. This is typical for a product-focused startup using EU funding to accelerate its own technology commercialization rather than to build research networks. Working with them would mean engaging a focused product company, not a collaborative research group.

Seervision has no consortium network from H2020 — all three projects were single-beneficiary SME instrument grants. Their network likely exists through their ETH Zurich proximity and commercial partnerships rather than EU project consortia.

Why partner with them

What sets them apart

Seervision occupies a very specific niche: AI-driven robotic camera automation for live production. Their ETH Zurich base gives them access to top-tier computer vision and robotics talent. The successful progression from SME-1 to SME-2 (a 30x funding increase) signals strong technology validation and commercial readiness — they are a product company, not a research lab.

Notable projects

Highlights from their portfolio

  • Multi RoboDOP
    Phase 2 grant of €1.53M — one of the larger SME instrument awards, indicating strong commercial potential validated by EU evaluators.
  • SeerPredict
    Extends core camera AI into skeletal motion analysis, bridging live production with security and biomechanics applications.
Cross-sector capabilities
Security and surveillance (autonomous tracking)Media and entertainment (live broadcast automation)Sports analytics (motion capturing and prediction)Telepresence and videoconferencing (autonomous framing)
Analysis note: Profile based on only 3 SME instrument projects (all single-beneficiary, no consortium data). The technology focus is clear but collaboration patterns and network insights are limited since SME instrument grants don't involve partners. Company likely has a richer commercial profile than what H2020 data alone reveals.