B2B SaaS · voice agents
Fymera Voice
A multi-tenant platform for AI voice agents that answer the telephone. It is in development: what follows is what has been designed and built so far.
cat ./context.md
Fymera product · 2026
./role --ours
In-house architecture and development
Before and after
how it was
Inbound calls are the channel nobody manages to scale: the person answering is a person, and when they are not there the call is lost. Generic voice assistants know nothing about the company they are meant to represent.
what we built
A multi-tenant platform where each company has its own agents, its own numbers and its own knowledge base. The agent answers with what it knows about the company, books, qualifies and hands over to a person when it should.
$ ls ./components
How it is built
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01
Versioned knowledge base
Sources and sections are managed separately from publication: you prepare a version, publish it when it is ready, and the agent on the line does not change its answers halfway through the day.
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02
Handover to a person
The agent recognises when it should stop pressing and transfers the call, instead of going round in circles until the caller hangs up.
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03
Logs, review and analytics
Every call stays available: you listen back, assess it, and correct the knowledge base wherever the answer was wrong.
$ ./results --after
How it turned out
[ok] Each company has its own agents and numbers, isolated from the rest
[ok] The knowledge base is published in versions, not edited live
[ok] Calls stay logged and available to listen back, so the agents can be corrected
// services involved
$ ls ./other-cases
Got a similar project?
Thirty minutes on video to work out whether it is worth doing, and what it really costs. If we are not the right people, we will say so.
