<aside> đź’ˇ We want to make talking to AIs as human as possible.

Today, the highest adoption for voice-first AI interaction is happening in telephony voice agents. But, our personal interactions with banks / medical providers (e.g. GPs) / government (e.g. HMRC) has not changed at all; it’s still the same long queue times, or IVR systems. This is because the current AI telephony voice agent stack is broken - success rates are low, it’s a slow process to get them to work reliably. And this is just in carefully crafted low-risk scenarios where call times are shorter than 2 minutes.

The problems preventing adoption can’t be solved by any amount of data, and we’re re-architecting the underlying machine learning models (speech-to-text, text-to-speech, and LLMs) from the ground up to solve this.

The company was founded by Sid, founding engineer at Wayve.ai (which recently raised $1bn dollars), and Vatsal (who was critical in building Alexa’s first deep learning voice, and studied+taught Maths & CS at Cambridge). Our team is passionate and driven by building products that are deeply loved by the people who use them.

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Requirements and Experience

What we offer

Interview Process

We move with speed, and aim to go from first interview to offer within a week.

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