How well does this scale? Like how many simultaneous calls can a single voice agent handle through your platform?
It is very scalable. We currently handle >100k calls per day on our platform.
Launch HN: Leaping (YC W25) – Self-Improving Voice AI
31–40 of 44 posts
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#32Congrats on the launch! I work in this space, and fwiw I strongly agree with the idea of A/B testing + continuous improvement. I have found that it is relatively easy to setup A/B tests, much harder for stakeholders to draw the right conclusions.
Also every stakeholder might value different things: call deflection rate, CSAT, number of bookings, etc. Important to align expectations upfront
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#33the demo is pretty impressive ngl. knowing it's a bot though makes you want to phrase your questions a certain way, so i tried to just pretend like i was talking to an actual support person. i always feel with these bots its like way too "polished" in the responses or how it speak. maybe that's a good thing and we are just so used to hearing someone speaking more casually be less well spoken lol. it makes it feels in…
Essentially you are currently optimizing for the majority. Looking forward to how that develops over time as conversations get more personalized
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#34I want this as an option to handle all my personal calls I built a skeleton of an iOS app that managed my calls such that I could choose to answer, decline or send to my chat bot So it gets real data from all my regular calls and in my state (1 party consent) I don’t need anyone’s permission to record every call. So that data kicks off a fine tuning running that can run overnight or locally to improve my personal mod…
Interesting and seems like a great use case. We currently focus on working with businesses though:/
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#35> Existing voice AI solutions are a pain to set up for complex use cases. They require months of prompting all edge cases before going live, and then months of monitoring and improving prompting afterwards I wonder why! Most (or all) of customer support calls are recorded. Have you tried (or proposed) to train on that corpus on your Customers premises? You can do multiple evals in that setting - replay user calls int…
This is on the roadmap. We haven’t yet been able to execute on this, since we are still laying the foundations, but this is a great idea!!
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#36What framework did you use for flow building?
We are using Vercel
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#37Super awesome demo! The contact center market, including inbound customer support, is incredibly ripe for disruption, and I'm sure you guys will be on the forefront of that. Kinda funny how many amazing CX companies start in Germany! I’m the CEO & founder of Rime, so I’ve been following your progress with real interest. Feel free to reach out and I’d love to explore ways we might collaborate. Until then, wishing you…
The German call center market is very large, established and well-organised. Also pricing power here is often higher, because you cannot outsource call center work to outside Germany (because no one speaks German).
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#38Earlier quoted context omitted.
Why do you think it didn't work out in legal? We currently don't focus on that domain. In general, we currently have really high success rates with relatively constrained use cases, such as lead qualification and well scoped customer service use cases (e.g., appointment booking, travel cancellation). In general, voice AI is hard because WYSIWYG (there is no human in the loop between what the bot is saying and what th…
I think the problem relates to the core value proposition of automating an intake department with voice AI. The best voice AI customer is in an industry in which there is a clear increase in value that comes with the ability to handle a larger mass of calls. This was not the case in the legal world, when one missed client might be a loss of millions (and many firms would live off of Therefore I think the verticals of…
We see the main value prop of voice AI to be to enable higher volumes of calls in a cost-efficient manner. It is clear that there is a slight trade-off on quality, because humans will do a better job in "high-stakes" calls and where creativity is more required.
It thus makes sense why it might not work for legal, since every call there might be high stakes.
Having the bot be "creative" is actually an interesting proposition. We currently do not focus on it, since the majority of our customers want the bot to be predictable and not hallucinate.
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#39It's too funny. I tried the voice chat and it was the typical frustrating shit, misunderstanding words, then slowly answering to them - "das Ding" it understood as "Singen" etc. You could film a comedy with that, but a company that owns something like it - I'd never call them.
Re: Launch HN: Leaping (YC W25) – Self-Improving Voice AI
#40It's too funny. I tried the voice chat and it was the typical frustrating shit, misunderstanding words, then slowly answering to them - "das Ding" it understood as "Singen" etc. You could film a comedy with that, but a company that owns something like it - I'd never call them.
It seems you tried the English demo. Wondering was the website in English or German for you?