
by
July 1, 2025
This article is based on a recent sit-down with The AI Show, where our CEO Muj Choudhury joined James Nixon from Lenovo to discuss RocketPhone.ai's journey, our technology, and the future of real-time voice intelligence. Watch here: https://the-ai-show.heysummit.com/talks/building-an-ai-ready-culture/
In an era where generative AI chatbots dominate headlines, an equally powerful frontier is emerging in the enterprise: real-time analysis of voice conversations. Every day, businesses generate countless phone calls, meetings, and virtual discussions – each one a potential source of insight and value if harnessed effectively. At RocketPhone.ai, we are tapping into this rich vein by delivering real-time voice and conversation intelligence. By analysing spoken interactions as they happen and triggering instant actions, our platform is transforming how enterprises engage customers, ensure compliance, and learn from every dialogue. It’s a forward-looking vision that promises to turn everyday conversations into strategic assets for business growth and customer experience.
Our CEO, Muj Choudhury, founded RocketPhone.ai after identifying a glaring gap during his 11-year tenure at Salesforce and earlier roles at Siebel and Oracle. Despite the rise of CRM systems and telephony integrations, the content of voice calls remained largely untapped. Muj noticed voice and conversations are a huge source of really useful data that businesses weren’t extracting. This realisation became our mission: to harness conversational data in ways that traditional call recordings and post-call analytics never had, closing a critical gap in enterprise intelligence.
To unlock the value in voice, we built a platform designed from the ground up for real-time conversation intelligence. In simple terms, our system does three things exceptionally well:
“We’re the only company today that operates on a real-time basis,” says Muj. For example, if a rep is about to violate a compliance rule or a customer mentions a new opportunity, we can take action immediately. Many solutions analyze post-call transcripts. We work on the waveform itself, enabling richer, faster insight.
Integration is seamless. Connecting RocketPhone.ai to a CRM like Salesforce can be done in hours, not months. We focus on Salesforce-using enterprises to maximize immediate value.
Highly regulated sectors like financial services are where our real-time intelligence delivers extraordinary value. One of our early customers – a top global life insurance and wealth management company – faced massive compliance exposure. With traditional manual reviews, they could audit only 0.0001% of calls. Today, we monitor 100% of their calls in real time.
In just two months, we deployed a system that:
If a customer mentioned interest in a product, we instantly routed that lead to the right team, even if the current agent wasn’t equipped to act on it. We also monitored vulnerable customer interactions and handled tasks reps often missed.
“The number one word that we bandy around our company is just trust,” says Muj. We’ve designed RocketPhone.ai with transparency and user control at its core.
In scenarios where a call might be recorded, we listen for consent. If a customer says “yes” to recording, our AI begins. If they say “no,” it stops. These real-time red lines ensure ethical operation and protect reputations.
To combat AI hallucinations and bias, we don’t rely on massive general-purpose models. Instead, we use localised LLMs tailored to each client’s own data, sometimes running on-premise. This ensures accurate, relevant outputs and minimises risks of misinformation or liability.
Muj’s tech journey began at age 8, coding on a Sinclair ZX Spectrum. From then on, technology was his calling. After years at Salesforce and other tech giants, he founded RocketPhone.ai to bring visionary ideas to life.
We foster a culture of experimentation: “Just do crazy things and see what happens,” Muj says. Our team is encouraged to propose radical ideas, test fast, and fail forward. That mindset has fueled innovations like our upcoming video meeting connector, which doesn’t just transcribe Zoom calls but analyzes visual content and on-screen materials in real time.
Muj admits the journey has been hard. “If I had the foresight of these last six years… I would not do it,” he laughs. But he doesn’t regret a thing. His advice to other AI entrepreneurs: take the leap. Don’t let fear of failure keep you from building something great.
Our ultimate goal is to become the conversation intelligence layer embedded in every enterprise system. Not just for voice, but for all conversations: Zoom, Teams, Meet, field service calls, and beyond.
This goes far beyond note-taking apps. We aim to understand intent, context, and emotion across all channels, triggering workflows and surfacing insights instantly. That’s how businesses will unlock the full potential of every customer or employee conversation.
Large firms are taking notice. A global manufacturer recently chose RocketPhone.ai over a much bigger software vendor, citing our domain expertise, agility, and ability to execute where others merely marketed AI.
We are redefining the way enterprises think about conversations. By turning calls and meetings into structured, actionable data in real time, we close the loop between insight and action. In regulated industries, we reduce risk. In customer engagement, we boost performance. And in enterprise strategy, we offer a new lens into what customers and employees really want.
RocketPhone.ai isn’t just building software. We’re building a new layer of enterprise intelligence – one conversation at a time.
We set out to build the best phone system on the planet and ended up building the best in the universe 🚀