Network Monitoring Provider
Real-Time Network Anomaly Detection Deployed Across Client Base
Network Problems Were Discovered by End Customers, Not Caught Proactively by the Provider
The client needed to design and implement a scalable solution deployable across their client base to detect a wide range of anomalies in network and application performance.
ML Pipeline Ingests Network Indicators and Runs Multiple Anomaly Detectors in Parallel
Blindspot developed a scalable machine learning pipeline that ingests various network indicator data and applies multiple anomaly detection algorithms simultaneously.
Real-Time Anomaly Detection Deployed and Scalable Across the Provider's Entire Client Base
Customers of the client gained enhanced monitoring capabilities and can detect network and application performance problems in real time, with the solution scalable across a distributed client base.
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AI Agents Deliver Personalized Night Radio Broadcasts, Cutting Costs by Up to 60%
Seznam deployed a multi-agent AI system where one agent produces time-optimised playlists and selects news, while another writes engaging scripts and applies text-to-speech using real presenter voices — fully automating overnight radio broadcasts.
Global Cybersecurity Vendor
ML Pipeline Processes Terabytes of Cybersecurity Data Daily
A global US-based cybersecurity vendor needed to reduce the volume of threats their analysts manually review. Blindspot built a scalable unsupervised ML pipeline for anomaly detection on time-series data, capable of processing terabytes of security events daily.
Expert ML Team Enhances DFLabs' Cybersecurity Product
DFLabs required specialised AI and ML expertise to strengthen their cybersecurity product. Blindspot provided a dedicated expert team who implemented machine learning capabilities directly into the product offering.
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