AI has become a powerful tool, but so far we ve mostly been consumers of AI models: huge, trained on generic data, expensive to run, and often poorly suited to the specific tasks we actually need.
We believe AI should be a commodity, something anyone can create, own, and deploy for their specific use case. You should have an AI model that truly fits you, trained with your own data.
NeuroBlock training 3B parameter models on your own data and letting you download the weights is a completely different value prop than fine-tuning through an API you don't control. Most teams I've seen bolt RAG onto a generic model and spend weeks tuning retrieval to compensate for domain gaps. Skipping that layer entirely with a purpose-trained lightweight model is cleaner, especially when the domain is narrow enough that 3B parameters can cover it. The dataset enrichment step before training is a nice touch... garbage in, garbage out applies double at that model size.
NeuroBlock
We’re incredibly excited (and honestly a bit nervous!) to finally share this project with the Product Hunt community. 🚀
For a long time, we kept running into the same issue: building quality datasets, creating AI models, and taking them to production is still way more complex than it should be. Out there, there are too many disconnected tools, too much infrastructure work, and not enough time actually experimenting.
So we built NeuroBlock, a no code AI lab where you can:
-Create and manage training datasets.
-Explore and reuse existing data.
-Train models and LLMs in the cloud.
-Run inference directly on the platform.
-Access your models via API.
-Or download your models and run it wherever you want.
Our goal is to help developers, startups, and companies go from idea to working AI model in minutes instead of weeks.
We’ve been obsessed with making it powerful, but also ridiculously easy to use.
We’d love to hear what you’re building, what you want to train, and what we’re missing to make this a must-have part of your workflow. Every bit of feedback truly means the world to us.
Thank you so much for the support and for giving it a try. 🙌🏼
NeuroBlock
A lot of coffee and not much sleep😅 — but we finally made it 🚀
Huge congratulations to the whole team for the incredible work.
We truly hope you enjoy this end-to-end tool as much as we do (and I do).
Stay tuned!
Great work guys! I like the dataset extraction part a lot, and also having everything up to testing in the same platform makes this easy. Best of luck with the launch!
NeuroBlock
@th_calafatidis Hi! Thank you for your feedback and support. Glad to know you see value in what we’re building. We’re focusing heavily on data pipelines, and we’ll be launching new data processing formats for images and video in the coming weeks!
Congratulations on the launch! Is it possible to create a separate knowledge base for each agent and combine them into a multi-agent system? In our project we have around 50+ agents, and each one has its own sources it learns from.