Today, we’re announcing that we’ve closed our Series C and raised $100M to continue automating the world’s most complex phone calls.
We grabbed some guy named Paul to talk about it because nobody else in the office wanted to. 🧵
Phone trees cost you money.
Idaho Housing & Finance Association takes over 4,000 calls a day. Each one used to start with a push-button menu and a minute of ID checks at about $1 a minute.
Now Bland answers every line, verifies callers, and routes them to the right team:
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How does voice AI correctly replicate laughs, signs, and whispers?
Our research team developed NVAlign, a new training method that uses a second model to listen for sounds like laughter and feed that feedback into speech-generation training.
Here’s how it works. 👇
Bland 🤝 @pipecat_ai
Pipecat put Bland Speech v3 through a live demo, take a look.
We wrote an article on how our research team taught it to laugh and sigh on cue.
x.com/usebland/statu…
Sometimes, choosing a voice for your Pipecat agent is about more than just latency. It might be about personality, accent, or how convincingly a voice fits the situation.
We explore voice realism with @usebland Speech v3, available in Pipecat as a maintained service.
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Our research team developed NVAlign, a new training method that uses a second model to listen for sounds like laughter and feed that feedback into speech-generation training.
Here’s how it works. 👇