Multi RoboDOP Phase 1 and Phase 2 both focused on multi-camera autonomous robotic cameramen for live video production.
SEERVISION AG
Zurich-based AI startup building autonomous robotic camera systems for live video production and motion tracking.
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.
What they specialise in
Multi RoboDOP Phase 2 keywords include tracking objects, machine learning, and artificial intelligence for smooth camera motion.
SeerPredict focused on skeletal kinematics analysis for vision-based motion capturing, extending their computer vision capabilities.
Both Multi RoboDOP projects target cost-effective live video production through full automation of camera operation.
How they've shifted over time
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).
How they like to work
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.
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.
Highlights from their portfolio
- Multi RoboDOPPhase 2 grant of €1.53M — one of the larger SME instrument awards, indicating strong commercial potential validated by EU evaluators.
- SeerPredictExtends core camera AI into skeletal motion analysis, bridging live production with security and biomechanics applications.