Web & Mobile App
Tethral
Turning a founder's ambitious smart-home vision into a reliable, repeatable ship-it machine — hardware, apps, AI agents, and checkout, delivered together.
01
The starting point
Mav AI set out to do something hard: use AI to analyze in-person communication — sales calls, customer conversations, meetings that drive a business but usually vanish the moment they end.
For companies whose success depends on face-to-face interactions, that's a huge blind spot. Mav AI wanted to turn those conversations into objective, usable insights, and they needed a tool that could deploy fast and slot into what clients already used — not another system to rip and replace.
They needed a tool that could deploy fast and slot into what clients already used — not another system to rip and replace.
02
Where the work was actually breaking down?
Verbal conversations are subjective by nature, and that makes them almost impossible to learn from consistently:
Inconsistent takeaways
Two people walk out of the same sales call with different takeaways.
Coaching by gut
A manager sitting in, listening, and giving feedback — slow, inconsistent, and impossible to scale.
Nothing to standardize against
Without an objective standard, every conversation was judged differently.
A blind spot at the core
The moments that drive the business — sales calls, customer conversations — vanished the moment they ended.
The challenge was to make something inherently subjective objective: analyze in-person interactions the same way every time, so the insights were reliable and coaching didn't eat a manager's week.
03
What Singular built
We built an AI-powered tool that analyzes face-to-face communication and turns it into objective, consistent insight.
Objective analysis — Of verbal interactions — the same standard applied every time, not one person's interpretation.
Faster, lighter coaching — Managers get clear, data-backed feedback instead of sitting in on every conversation.
Slots into existing tools — Integrated with the tech clients already ran, deployable in a single sprint.
We built the interface, the workflow, and the data underneath it as one connected system, not three parts bolted together.
That's what keeps it useful for the teams using it and practical to run.
Evidence
What it produced
75% faster setup
Deployed in a single sprint, not a drawn-out rollout.
Coaching time cut significantly
Objective insights replaced hours of manual review.
Higher productivity
Teams got consistent, actionable feedback on interactions that used to disappear.
