Trazadera Lens is an advanced Dark Data collection and edge computing platform that unlocks hidden operational data from complex, legacy, and real-time sources. It captures, processes, and integrates valuable insights while ensuring full privacy.
With seamless deployment across industries, it empowers businesses to enhance AI models, optimize processes, and drive smarter decisions with real-time, untapped data.
Trazadera Lens is a cloud-based enterprise platform that enables non-intrusive dark data capture, processing, and transformation. It extracts hidden, unstructured, and siloed data from networks, IoT devices, and legacy systems, turning it into structured, actionable insights.
Capture lost data from APIs and applications using non-intrusive network sniffing.
Leverage Wi-Fi and network touchpoints to track customer positioning and movement.
Capture data from machines and IoT devices, perform edge processing, and extract metrics.
Unstructured dark data at the edge to uncover novel insights.
Collects and harmonizes data from diverse sources, including legacy, APIs, Wi-Fi, and industrial machines, ensuring comprehensive visibility and interoperability.
Ensures full compliance with GDPR and enterprise security standards while supporting deployments from small-scale pilots to large enterprises.
Performs real-time data transformation, anomaly detection, and AI-driven analytics directly at the edge for faster insights and reduced cloud dependency.
Most organizations generate massive amounts of dark data—unstructured, hidden, and siloed information that remains untapped. This leads to missed opportunities, inefficiencies, and increased costs.
Valuable operational data is locked in legacy systems, silos, and proprietary formats, making it difficult to extract and analyze.
Organizations fail to leverage critical insights from unstructured data, limiting growth, compliance, and competitive advantages.
Extracting and processing IoT, machine, and edge data is often resource-intensive, costly, and disruptive to existing systems.