Vonage and Bdeo take QoD API live in insurance claims
Vonage, the API platform subsidiary of Ericsson, has deployed its Quality on Demand (QoD) Network API in a live commercial insurance-claims workflow alongside Madrid-based insurtech Bdeo, marking what the companies describe as one of the first enterprise-scale go-lives of the QoD standard in full production. The deployment, enabled by a Telefónica network partnership, combines dynamic mobile-network prioritisation, live video and programmable messaging into a single orchestrated stack that Bdeo uses on behalf of more than 50 insurers across Europe and Latin America.
QoD is a GSMA-backed network API standard that allows application developers to request a temporary uplift in mobile bandwidth for a specific session, rather than relying on whatever connectivity a policyholder happens to have at a crash scene or in a congested car park. In Bdeo's implementation, Vonage's platform monitors each video session in real time and invokes QoD only when bitrate drops below the threshold needed for reliable evidence capture. The result, the companies say, is sharper incoming video frames, which directly improves the accuracy of Bdeo's AI damage-detection models, reduces the need for human review, and shortens overall claims cycle times.
From telecoms plumbing to AI input quality
The technical logic here is straightforward but strategically significant. AI visual-intelligence models are only as good as the data fed into them. Blurry, compressed frames captured over a congested 4G connection produce ambiguous damage assessments; a network-prioritised stream produces cleaner pixels. By treating connectivity quality as a programmable input rather than a fixed environmental variable, Vonage and Bdeo are essentially extending the AI pipeline upstream into the telecoms layer.
Bdeo's scale gives the deployment immediate commercial weight. The company reports that it manages more than 50 percent of motor insurance underwriting in Spain and works with eight of the ten largest motor insurers in that market. Operating as a white-label platform, it processes claims across more than 25 countries, meaning the QoD integration touches carrier environments with materially different network conditions, precisely the scenario the dynamic invocation model is designed to handle.
"Vonage gave us everything we needed in one place, global coverage, a robust API infrastructure, and the ability to bring video, network, and messaging together through a single provider," said Rafael Castillo, CTO at Bdeo. "That consolidation was essential for a company like Bdeo, operating across multiple countries and carrier environments."
Cross-sector read-across: telecoms APIs meet insurtech and AI
The broader significance of this deployment sits at the intersection of three converging trends. First, the GSMA's Network-as-a-Service API push, of which QoD is a flagship use case, is accelerating the commoditisation of programmable connectivity. Telecoms operators including Telefónica, Deutsche Telekom and Vodafone have all committed to exposing QoD and related APIs through common gateways, which means the underlying infrastructure Bdeo is using today is set to become widely replicable across industries that depend on reliable mobile video: telemedicine, field-service inspection, autonomous-vehicle remote monitoring and industrial IoT.
Second, the deployment illustrates a capital-allocation theme worth tracking. Ericsson's ownership of Vonage reflects a strategic bet that telco infrastructure value will increasingly be extracted at the API layer rather than the network layer. As AI-dependent workflows multiply, the quality of the connectivity feeding those models becomes a competitive differentiator, and therefore a monetisable service. Insurers that lock in carrier-grade video quality for claims now may find themselves with meaningfully lower loss-adjustment costs and stronger compliance documentation as regulators in the EU and Latin America tighten digital-evidence standards.
Third, for the broader insurtech investment landscape, Bdeo's deployment signals that the next wave of differentiation in AI-driven claims is not purely about model sophistication. It is about data quality at source. Investors evaluating insurtech platforms should increasingly scrutinise the connectivity architecture underpinning AI pipelines, not just the model benchmarks. That reframing, from AI-as-software to AI-as-system, has direct implications for due diligence frameworks across health, property and mobility insurance verticals, wherever remote visual evidence sits at the centre of the claims process.