Our three-year, €2M project on Multimodal AI Perception is partially funded and supported by France through Bpifrance.

Moments Lab (ex Newsbridge) team members recently visited the iconic Théâtre du Châtelet in Paris, and while we dressed up for the occasion, our purpose wasn’t to see an opera or ballet performance. We were there alongside some leading deep-tech French startups (Alice&Bob, Zaion, Giskard, and others), to receive our prize for winning the latest i-Nov Innovation Competition!

Part of the France 2030 Investment Plan, the i-Nov contest backs the most innovative R&D projects that work towards the energy transition. Newsbridge (now Moments Lab) received €850,000 in funding to support our three-year, deep-tech research into Multimodal AI Perception.

Spearheading Research into Multimodal Perception

Moments Lab’s work on Multimodal AI Perception harnesses the power of early data fusion technologies to identify the moments that matter in video content, and enable lower emissions processing.

Our goal is to automate the detection of complex editorial content in vast multimedia archives. Multimodal Perception aims to use early data fusion and self-supervised learning to detect relevant moments.

Creating frugal artificial intelligence models is essential to making these new video understanding capabilities work at scale, at low cost and with low energy consumption. This technology we’re developing will also reduce the energy impact of content storage, by suggesting the deletion of irrelevant elements otherwise weighing on large organizations’ storage bills.

Bringing these AI indexing capabilities to life—as we have done with Multimodal and Generative AI MXT-1—takes dedicated in-house research and development, and we’re thrilled to have this support from France 2030 and Bpifrance to continue our work!

If you have any questions about Moments Lab’s technology, or our AI R&D projects, don’t hesitate to get in touch.