SOURCE-LINKED INTELLIGENCE
Solving the ‘last-mile delivery challenge’ for quality Over-The-Top (OTT) streaming content
Solving the ‘last-mile delivery challenge’ for quality Over-The-Top (OTT) streaming content We leverage online machine learning and next-generation congestion control to maximize Quality of Experience (QoE) for adaptive video streaming and video conferencing. Compatible with any HTTP-based application, our technology will significantly disrupt the Over-the-top (OTT) video market.Today, the dominant congestion control protocols (TCP and increasingly BBR) are one-size fits all and consequently fail to deliver good QoE. Our solution is based on something new: Performance-oriented Congestion Control (PCC), developed by Compira co-founder Prof. Michael Schapira and Prof. Brighten Godfrey from the University of Illinois at Urbana-Champaign (a key advisor). Unlike TCP, PCC changes transmission rates in line with predicted effect on performance and specific application needs - at a granularity of 10s of milliseconds. Rate selection is optimized by machine learning, enabling us to swiftly overcome netwo
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2489148
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.