In 2024, I realized the problem we had struggled with for almost 10 years… was still there.
That’s why we’re building Neuraan.
This is a story about costly mistakes, hard-earned lessons, and why the real challenge of AI isn’t the technology—it’s integrating it with the real world.
After speaking with over 200 IT leaders from large companies, we found that a major challenge in adopting AI is the difficulty of integrating and automating both commercial and custom/proprietary applications.
To address this, we created a “conversational Zapier” that automates processes and connects apps within companies—no coding or workflow design required. Our AI handles everything, helping companies become AI-driven and ready for the digital workforce era.
I'm sharing this quick video so you can see how it works! If you’re interested in trying our product, we—the founders—would be happy to talk with you. You can book a 30-minute video call with us here:https://cal.com/isracv/knowing-your-need
We’re Israel & Mario, cofounders of Neuraan (https://neuraan.com). It is difficult for natural language processing developers in LatAm to get their applications to have the same accuracy in Spanish as in English. We create an API that helps them correct those inaccuracies and increase the adoption of their solution.
We have +6 years of experience developing chatbots and voice assistants for large enterprises across LatAm and was very common to end up doing some research and developing algorithms to enhance the accuracy that the commercial solutions like Dialogflow, Watson, Amazon Lex, and Azure Cognitive deliver because they provide a general solution for non-English languages.
I'll like you to try or invite someone to try our API and share your feedback with us.
We’re Israel & Mario, cofounders of Neuraan (https://neuraan.com). It is difficult for natural language processing developers in LatAm to get their applications to have the same accuracy in Spanish as in English. We create an API that helps them correct those inaccuracies and increase the adoption of their solution.
We have +6 years of experience developing chatbots and voice assistants for large enterprises across LatAm and was very common to end up doing some research and developing algorithms to enhance the accuracy that the commercial solutions like Dialogflow, Watson, Amazon Lex, and Azure Cognitive deliver because they provide a general solution for non-English languages.
To provide an extra layer to improve the performance of conversational applications in Spanish we developed a RESTful API that allows developers and enterprises to provide a few examples of the intents and entities used by their applications to enhance the recognition. We are using a few shot learning strategies developed using various Machine Learning strategies including deep neural networks along with self-developed algorithms.
This solution permits the enhancement of the recognition of goal-oriented applications (create a support ticket, extract data from a user conversation, make a telephonic sale, etc.) instead of standard NLP engines' general Spanish.
Our pricing is based on API requests.
We look forward to feedback from the HN community!
It was my mistake not to explain correctly the situation. The investor knows the fact that the co-founder leaves and I hire a freelancer to continue with the development, no matter this, he decide to invest.
The truth is that the investor knows the situation, te co-founder leaves before the investor decide to invest and he told me that the situation doesn't change the fact that he want to invest and he is doing so because he trust in me.
I don't have the technical abilities, that's the only thing. Definitely the co-founder is replaceable. I have just hire someone to continue the work and see how things go before asking to be a co-founder and don't burn money on salaries in this very early stage. What would be your recommendation for me?
Right now I'm focus on getting organic growth our analytics show us that the landing isn't converting well and the feedback from visitors indicate us that our message is neither clear nor persuasive. Whit this indicators we are now working on some changes that could get as a result, a higher conversion on the landing. That, I think is the first of our problem, then wi'll focus again in the strategy to keep growing.
In 2024, I realized the problem we had struggled with for almost 10 years… was still there.
That’s why we’re building Neuraan.
This is a story about costly mistakes, hard-earned lessons, and why the real challenge of AI isn’t the technology—it’s integrating it with the real world.