Industrial & Aerospace

Guavus ignites the path to digital transformation by converging IoT connectivity, big data and artificial intelligence

From aerospace to manufacturing, it’s a race to see who will master these technologies in order to embrace a digital business model that embodies internal efficiencies and promotes revenue growth. Guavus enables companies to modernize their operations while reducing costs using advanced analytics and artificial intelligence found in the Guavus Reflex platform.

Powered by:

Guavus Live Ops

Guavus Proactive Ops

Digital Operations Center

The typical model where local industrial sites were left in the dark is vanishing as connectivity enables greater control and centralization opportunities. Guavus enables the digital twin paradigm and automation by aggregating connectivity and operational data from any sensor across multiple platforms in near real-time. This provides a global perspective for autonomous anomaly detection, precise issue attribution and faster resolution.

Monitor your assets through geo positioning and trending in near real-time.
Automatically set thousands of baselines to detect impactful business performance anomalies in real-time using machine learning. Static key performance indicators (KPIs) are rendered obsolete.
Aggregate and contextualize hundreds of disparate sources of data to rapidly identify the true source of the problem. Dramatically reduce mean time to understand (MTTU) and mean time to repair (MTTR).
Gartner estimates that 85% of performance incidents can be traced to changes. Immediately visualize the effect of changes and maintenances made to the network to remedy them as soon as possible.
Redefine your maintenance process. Use artificial intelligence to compare the benefits of alternate spending strategies and to select the best one.
Correlate thousands of alarms using behavioral classification algorithms to identify the root issue of an incident, drastically reducing the time to understand and fix the problem. Prioritize which alarms are most critical and impact your operations and auto-dismiss the rest. Take closed-loop actions as needed.
Use telemetry and alarm data to learn from patterns of events in the past to predict and prevent future incidents. Use artificial intelligence to understand patterns never seen before and predict their impact.

Powered by:

Guavus Marketing Insight

Guavus Live Ops

Guavus Proactive Ops

Monetization

Today’s products are the edge of tomorrow’s services.  Industrial products embedding IoT provide great opportunities for value added services (VAS) either by extending their normal purpose or by interconnecting them inside new value chains. Guavus supports enterprises in their transformation of traditional products into valuable services by enabling embedded analytics capabilities accessible through standard application program interfaces (APIs).

Not only can enterprises leverage analytics as part of their own operations, but they can also embed analytics capabilities into their offering either as a differentiator or as new services such as predictive maintenance or threat protection.
Bring data and analytics collected from digital operations together to drive adjacent business models such as audience measurement for inflight entertainment or connecting smart home and car experiences.

Powered by:

Guavus Security Intelligence

Security

Cybersecurity is the greatest hindrance to industry digitalization. Advanced and persistent cybersecurity threats are constantly morphing and evolving, making it impossible to keep pace using traditional tools that lack unified frameworks and advanced machine learning techniques. Guavus Security Intelligence uses Machine Intelligence to contextualize security data from multiple sources, automatically establish thousands of baselines and detect irregular patterns and behavior to identify emerging threats not yet seen before.

Guavus combines and contextualizes incidents from multiple disparate sources into a distributed multi-model data bus for continuous enrichment. Using Machine Intelligence, Guavus develops a comprehensive security score leveraging behavioral modeling and stochastic anomaly detection. Kill chain incidents are prioritized based on potential impact, key users and critical assets.
Sophisticated threat hunting tools allow the Security Operations Centers (SOC) staff to validate and remediate the identified threats. Analysts are able to self-assemble new threat hunt workflows using building blocks modules for ingestion, enrichment and analytics on a security playbook interface and track threats and their propagation across time and space through a relational-graph view of the network.
A security automation and orchestration framework ensures consistent and repeatable outcomes. Automate any ad hoc threat hunting or threat detection workflows. Auto-dismiss the vast majority of false positives, saving analysts’ valuable time and allowing them to focus on high-priority concerns.
Automate the incident triage process, with self-learning capabilities encompassing the ever-changing breadth and depth of malware, phishing, ransomeware, distributed denial of service (DDoS), and bring your own device (BYOD) risks. Artificial intelligence enables the identification of never seen before threats, malware and infiltration techniques.

Powered by:

Guavus Reflex Platform

Self-Operated Machines

Guavus puts forward closed loop technologies that support self-operated assets based on real-time, distributed computing and artificial intelligence.

Compute at the right time and the right location. Guavus distributed computing technology allows the implementation of compute units across the data distribution chain optimizing bandwidth utilization.
Apply global knowledge to individual actions. Guavus platform edge computing allows bidirectional communication between the centralized knowledge repository and distributed executing components, allowing any object to act with the knowledge of the entire operational state.