Lytn’s SDN and Predictive Data Science expertise combined with an open, agnostic approach to aggregating network metrics and business context ensures that networks support critical business outcomes. Every several minutes Lytn predicts network capacity and anticipates usage thus enabling issues to be addressed before they occur. These predictions help our partners and their enterprise customers optimize operations and maximize resource utilization.
PREDICT & AVERT NETWORK DISRUPTION
➡️ Proactively Predict Business Outcomes
Business context is central to Lytn’s prediction data model
➡️ Proactively Predict Capacity & Usage
Optimize performance, experience, costs, carbon footprint
➡️ Proactively Gain Insights
Review infrastructure QoS, resource usage, etc., with just a few clicks
➡️ Ingests all network metrics and relevant business context in real-time
➡️ Applies predictive data science, continuously learns from new data and its own performance
➡️ Predicts network capacity and anticipates usage
➡️ Predicts issues impacting business outcomes and quality of experience
➡️ Prescribes actions along with network & usage insights
➡️ Provides deep drill-downs on actions and insights with just a few clicks
➡️ Deploys simply via APIs and a SaaS model yielding immediate ROI
Etienne Coulon PresidentHaving successfully introduced more than 60 companies into EMEA, including several resulting in acquisitions, Etienne is a highly respected veteran of ICT International Business Development. Along the way Etienne founded multiple companies to accelerate successful commercial adoption of new technologies and partnerships. This experience impassioned Etienne to establish a company leading the development and commercial adoption of predictive data science solutions that drive the transformation of ICT to become an anytime-anywhere, reliable and resilient on-demand utility - Lytn's Proactive Network Intelligence.
Jean-Michel Cambot - Chief Techical OfficerWith an impressive 30 year track record of successfully applying predictive technologies to commercial business challenges, Jean-Michel holds multiple patents in predictive data science including several core to the success of Business Objects and the subsequent acquisition by SAP, for $6.1B.
Linda LaPorta - Chief Revenue OfficerWith a history of strategic growth partnerships, many resulting in successful exits including several with her own companies, Linda is a proven Go-to-Market and Strategic Alliance Executive.
Mike LaChance - Chief Marketing OfficerProviding Strategic Business Development and Product Strategy leadership, Mike has established a reputation for driving Emerging Market Development with successful New Market Entries.
Patrick Alainguillaume - Chief Delivery & DevelopmentWith a focus on Digital Transformation and Operation Growth executive leadership, Patrick has a career of bringing commercially successful disruptive ICT innovations to market.