Tresic: Turning Conversations into Revenue with the Tresic Intelligence Cloud, Podcast

Recorded live at Cloud Connections, Doug Green, Publisher of Technology Reseller News, spoke with Kevin Nethercott, CEO, and Robert Galop, Chief Product Officer at Tresic, following the company’s first public debut after operating in stealth mode.

Nethercott and Galop described Cloud Connections as the ideal venue for Tresic’s introduction to the market, noting strong engagement from CSPs, MSPs, and channel partners eager to understand how AI can be applied practically to communications. Drawing on decades of industry experience, the Tresic team positioned its mission at the intersection of communications, AI, and monetization—helping partners unlock new revenue using assets they already own.

At the core of Tresic’s offering is the Tresic Intelligence Cloud, a platform designed to treat conversations—across voice, messaging, chat, and social channels—as first-class business data. Rather than delivering generic AI summaries or call detail records, Tresic focuses on transforming unstructured conversational data into actionable intelligence that directly drives business outcomes.

Galop explained that recent advances around “beacons” enable conversations to be analyzed in real time and after the interaction concludes. Tresic’s After Call Co-Pilot and First Alert Co-Pilot address two critical business questions: what actually happened in a conversation, and what commitments or signals now require action. The platform automatically surfaces follow-ups, obligations, sentiment, and key moments that would otherwise be lost—routing that intelligence directly to the right people inside an organization.

By doing so, Tresic effectively closes the gap between communications and systems of record such as CRMs. Every conversation becomes a source of structured actions, alerts, and insights without relying on manual data entry or post-call administration. This gives businesses a 360-degree view of customer interactions while accelerating revenue-generating workflows.

Both executives emphasized that Tresic’s AI is not generic. Models are trained using partner and customer data, enabling vertical-specific insights that reflect how each business actually operates. This approach allows CSPs and MSPs to differentiate their offerings with intelligence tailored to their customers’ industries, rather than one-size-fits-all analytics.

In closing, Nethercott and Galop underscored Tresic’s partner-first strategy. The company goes to market exclusively through CSPs, MSPs, and channel partners—organizations that already own the customer relationship. Tresic’s goal is to help those partners add a new intelligence layer on top of existing services, enabling them to double or even triple revenue without replacing their current platforms.

More information about Tresic and its partner-driven AI communications platform is available at https://www.tresic.cloud/.