Heiki Riesenkampf

So that is the initial pipeline of how we built the first version of the product. And the different tools that we relied upon was Twilio for connecting phone calls. And we ended up going with DeepRAM for the speech transcription. Now we're using Llama run on Grok for the translation, and we're using 11 Labs for the speech generation.

So that was the stack for the initial MVP that was just to prove the point that real-time speech translation at a very simple level is possible in 2024.

So that was the stack for the initial MVP that was just to prove the point that real-time speech translation at a very simple level is possible in 2024.

So that was the stack for the initial MVP that was just to prove the point that real-time speech translation at a very simple level is possible in 2024.

I built the product... In a developer environment that I had never used before, I used Replit in order to build the very first version. And Replit was always known as a kind of education tool. What I liked about Replit, how easy it was to invite other people to basically check out your code and basically help you reason about the code. And so that was an interesting tool.

I built the product... In a developer environment that I had never used before, I used Replit in order to build the very first version. And Replit was always known as a kind of education tool. What I liked about Replit, how easy it was to invite other people to basically check out your code and basically help you reason about the code. And so that was an interesting tool.

I built the product... In a developer environment that I had never used before, I used Replit in order to build the very first version. And Replit was always known as a kind of education tool. What I liked about Replit, how easy it was to invite other people to basically check out your code and basically help you reason about the code. And so that was an interesting tool.

I'm pretty sure that we will grow out of Replit. I just want it to be as scrappy as possible and as collaborative as possible. And so that was an interesting choice that I do not regret making. And probably on the photo stack part, I decided to use Twilio instead of basically building a web-based application because a regular phone call is such a standard format for...

I'm pretty sure that we will grow out of Replit. I just want it to be as scrappy as possible and as collaborative as possible. And so that was an interesting choice that I do not regret making. And probably on the photo stack part, I decided to use Twilio instead of basically building a web-based application because a regular phone call is such a standard format for...

I'm pretty sure that we will grow out of Replit. I just want it to be as scrappy as possible and as collaborative as possible. And so that was an interesting choice that I do not regret making. And probably on the photo stack part, I decided to use Twilio instead of basically building a web-based application because a regular phone call is such a standard format for...

Initiating an audio call, I would say looking back at it, I probably would have preferred to build it on top of like two different browser sessions instead of complicating things with bringing the phone connection into it.

Initiating an audio call, I would say looking back at it, I probably would have preferred to build it on top of like two different browser sessions instead of complicating things with bringing the phone connection into it.

Initiating an audio call, I would say looking back at it, I probably would have preferred to build it on top of like two different browser sessions instead of complicating things with bringing the phone connection into it.

Our product is very different from your average SaaS application. We will or are already becoming a research heavy company. I told you that the first prototype was built on top of third party services. We're now in the process of fine tuning our own machine learning models to do the same pipeline end to end.

Our product is very different from your average SaaS application. We will or are already becoming a research heavy company. I told you that the first prototype was built on top of third party services. We're now in the process of fine tuning our own machine learning models to do the same pipeline end to end.

Our product is very different from your average SaaS application. We will or are already becoming a research heavy company. I told you that the first prototype was built on top of third party services. We're now in the process of fine tuning our own machine learning models to do the same pipeline end to end.

The next iteration of that would be to actually build our own end-to-end model that we will definitely base on some of the existing research papers that do end-to-end speech-to-speech translation. But all of that is a very active research area. In a way, I know which step we're going to take in terms of increasing the risk and complexity of the machine learning pipeline step by step.

The next iteration of that would be to actually build our own end-to-end model that we will definitely base on some of the existing research papers that do end-to-end speech-to-speech translation. But all of that is a very active research area. In a way, I know which step we're going to take in terms of increasing the risk and complexity of the machine learning pipeline step by step.

The next iteration of that would be to actually build our own end-to-end model that we will definitely base on some of the existing research papers that do end-to-end speech-to-speech translation. But all of that is a very active research area. In a way, I know which step we're going to take in terms of increasing the risk and complexity of the machine learning pipeline step by step.

But it would be very hard for me to predict how long it would take us to prove each step of the way. And regarding the APIs or how our customers are going to connect to the core piece, which is the speech-to-speech translation, I feel like that part will likely stay relatively stable. And most of the efforts are going to go into just building the best in class speech translator.