
Aprecomm, the intuitive network and customer experience platform provider, has appointed former Airties CEO Philippe Alcaras as an advisor.
Alcaras oversaw Airties for 10 years from 2012, a time of substantial growth, when the company expanded its footprint into new markets.
Aprecomm says Alcaras brings the experience and business acumen necessary to support and advise Aprecomm’s executive team as demand for its AI-driven customer experience (CX) platform grows.
“Aprecomm has already secured over 20% of the Indian fixed broadband market and is supplying close to 50 service providers with its customer experience optimization software,” said Alcaras. “With the penetration of managed WiFi estimated at only 15-30% globally, Aprecomm has a huge opportunity to disrupt the market with its AI data-driven approach and fast speed to market – I’m excited to join Pramod and his Team and support this high-growth phase.”
Alcaras will work on the company’s positioning and narrative for investor outreach and fundraising initiatives, support engagement with strategic customers and partnerships, and provide ongoing input and feedback on corporate governance, product strategy, and roadmap development.
“I’m thrilled to welcome Philippe, who will provide his expertise and advice to the Company during our next growth phase,” said Pramod Gummaraj, Founder & CEO, Aprecomm. “Philippe’s knowledge will be invaluable as we continue to disrupt the industry, helping service providers harness AI’s power to serve their subscribers better, bringing joy to online experiences while achieving significant operational savings through our intuitive and self-healing approach to network management.”
Serving both residential and business subscribers, Aprecomm’s CX suite helps broadband service providers transform their connectivity approaches. By utilizing sophisticated artificial intelligence, including a unique quality of experience algorithm, Aprecomm is paving the way for intuitive zero-touch networks. Aprecomm adopts a self-optimising and self-healing approach to managed WiFi, adjusting the network to accommodate the unique needs of each user and the application they are using.