Solving the ‘last-mile delivery challenge’ for quality Over-The-Top (OTT) streaming content

Objective

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 network congestion within the critical 'last mile' of data delivery.

Fields of science

• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
• HORIZON.3.1.2 - The Accelerator

Topic(s)

• HORIZON-EIC-2021-ACCELERATORCHALLENGES-01-01 - Strategic Digital and Health Technologies

Call for proposal

HORIZON-EIC-2021-ACCELERATORCHALLENGES-01

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Funding Scheme

HORIZON-AG - HORIZON Action Grant Budget-Based

Coordinator

COMPIRA LABS LTD

Net EU contribution

€ 2 489 148,00

Address

Hayman Israel 37
7405055 Nes Tziona
Israel

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Links

Non-EU contribution

€ 1 083 277,00