
Before Inworld’s virtual characters, there was a phone assistant with millions of users. Ilya Gelfenbeyn has spent his career working on the awkward distance between what people say and what computers understand.

From the Instore register to an app built with his father and a voice-ordering project, Rajeev Viswanathan keeps returning to the spaces between a customer’s request and a business’s reply.

Before voice AI became fashionable, Ganesh Gopalan and his co-founder were collecting the untidy sounds of everyday India. The Gnani.ai CEO’s wager is that useful intelligence begins by listening to people as they are.
At Waymo, Brooke Hopkins built systems for testing self-driving cars. At Coval, she is applying the lesson to AI conversations, with a founder’s eye for everything from failed calls to the flowers on the table.

The founder of Custom Creatives learned to sell before he learned to delegate. Two decades later, his work in agency coaching and voice AI keeps returning to the same question: who will actually get the job done?

When a graduation announcer stumbled over his sister’s name, Praveen Shanbhag began working on a fix. The Namecoach founder has spent the years since turning a familiar awkward moment into a problem software can help solve.

He turned down a Stanford PhD offer to build with his college friend. Finding something worth building took longer: a tutor, a model business, and a year of uncomfortable revisions before Giga found its way into customer support.

He built a business around keeping people connected, then made going unreachable a company rule. For Bandwidth cofounder David Morken, knowing when to answer has always been part of the job.
Before CNTXT AI, Mohammad Abu Sheikh built places to exchange ideas and tools to make Arabic knowledge easier to reach. His next bet is that AI will travel further when it learns to listen locally.
Trucker Path’s founding CEO helped drivers find somewhere to stop. After a complicated sale and an education startup, he is back in freight, working on the conversations that keep it moving.

Before OpenHome, Shannon Wu helped bring decentralized identity and finance to market. Now she is building voice technology around a familiar conviction: people should have more say in how their tools work.

He made airline booking simpler. Customers kept asking questions anyway. Ditto Anindita built Botika around that stubborn preference, then followed the conversation from travel agents to railway stations and voice AI.

A roomful of volunteers, a new phone number and a bottle of wine: the Natterbox co-founder made a business telephone system work in three minutes. His longer project is making the call easier for everyone else.
A customer asked for a simpler phone system. Martin Malych helped turn the request into CloudTalk - and has spent the years since learning how much work sits on either side of a conversation.

A childhood bargain bought him time with Mario. A machine-learning elective introduced him to his co-founder. For Hyro’s Israel Krush, curiosity has a habit of becoming a job.

He helped take Kontakt.io from Kraków to customers around the world. Along the way, Szymon Niemczura learned that building a company means giving other people room to build it too.

Before Voiceflow built tools for AI agents, it made children’s stories for Alexa. Braden Ream’s education began when the stories attracted an audience and the tools attracted a business.

A father of four helped create a screen-free communicator for children. Then businesses started ordering it, sending the Relay co-founder toward hotel corridors, factory floors, and a different idea of what a radio could do.
He helped turn one Dialpad into Yahoo Voice and GrandCentral into Google Voice. With another Dialpad, Craig Walker is still working on a familiar irritation: why talking to a business takes so much work.

He began WIZ.AI in Singapore with global ambitions. Getting there meant taking local speech seriously, then asking a less glamorous question: does the customer’s problem actually get solved?

A noisy call between Armenia and California gave Davit Baghdasaryan a problem worth solving. Krisp grew from that irritation; his work now reaches into venture capital, education, and the future of voice.
A teenage immigrant learned to code, taught Windows one chapter ahead of his class, and built RingCentral around a monthly phone bill. His career turns on a surprisingly difficult judgment: when to ship, and when to wait.

Before he built voice software, Vladislav Chernyshov tried to make construction more predictable. At Dasha, his attention has turned to the pauses, interruptions and awkward little exchanges that make conversation human.
A side project sent Russ d'Sa looking for better audio infrastructure. After years of building consumer products, the LiveKit co-founder found a business in the machinery that lets people - and now AI - talk to each other.

Before Retell AI answered business calls, Bing Wu’s team built a dubbing tool that kept listeners waiting seven seconds. His voice-AI company took shape around a deceptively difficult question: when should a machine speak?

At Handy and Angi, Alex Levin found that some customers needed a conversation before they could click “buy.” With Rebecca Greene, he built Regal around that unfinished exchange - and is now putting voice AI on the line.

From a drawing robot at Harvard to a debit card for neighborhood shops, Abdulrahman Jamjoom kept building things that had to work in the real world. At Arini, that habit now shapes how he builds AI with his longtime collaborator Rami Rustom.
Before AI Rudder, Teng Ren built the engine behind a smartphone keyboard. His next company took him to Indonesia, where the business of being understood became a lesson in building across borders.
At 9 p.m. on the last day of 2015, Aircall was six dollars short of its monthly revenue goal. Olivier Pailhes’s journey from steel factories to cloud telephony has been a long education in what numbers can measure - and what people have to do.

A childhood experiment with sound-controlled lights became a career in teaching machines to understand people. Omilia’s co-founder is still working on the same problem, from bank calls to drive-through orders.