Aquin is where you train your own AI models. no ML expertise, no expensive cloud GPUs, no complex pipelines. just use it naturally, and your personalized model learns from everything you do. 2-3 minutes from data to trained model.

we're democratizing AI development itself. making it as simple as making your morning coffee: a few clicks, a few minutes, and you're done. use AI to make AI. then publish your models to our marketplace, generate API keys, or build applications on top of them.

the floating assistant is how it works. it's your context consumption layer, collecting training data automatically from:

every interaction becomes training data. automatically formatted in JSON, JSONL, CSV, or TXT. cleaned and ready for your choice of training method: fine-tuning, LoRA, QLoRA (with Hugging Face models), or RAG (works with Hugging Face, Anthropic's Claude, and Ollama for dynamic knowledge retrieval).

train any model from Hugging Face with advanced fine-tuning methods. use Anthropic's Claude or Ollama models with our powerful RAG system for long-term memory and massive context handling. you can even write datasets yourself to teach Aquin specific things.

train locally or in the cloud. create APIs. sell your models in our marketplace. or host everything yourself. privacy-focused, transparent, democratized, and decentralized AI development. complete control, zero lagging, maximum customization.

look at the current AI landscape. incredible technology, but the barriers to entry are massive.

training models costs hundreds of millions. fine-tuning requires ML expertise, expensive GPUs, and complex infrastructure. even simple customization means cloud bills, engineering teams, and weeks of setup time.

want AI that understands your specific context? you're looking at enterprise contracts, data engineering pipelines, and ongoing maintenance costs. the time from idea to trained model can take months.

we're removing all of that. 2-3 minute training times instead of weeks. a few clicks instead of engineering teams. minimal cost instead of cloud dependency. complete ownership instead of subscription fees.

think about what programming did for computing. before personal computers and accessible languages, creating software required specialized facilities and expertise. then everything changed. suddenly millions of people could create, not just consume.

we're doing that for AI. making model training as simple as creating an HTML webpage. your floating assistant captures context from everything—your files, browser tabs, Gmail, Drive, audio, clipboard, screen. AI formats it automatically into datasets. you choose fine-tuning, LoRA, QLoRA, or RAG. train on Hugging Face models, Claude, or Ollama. export, publish, monetize.

no ML degree required. no infrastructure to manage. no complex pipelines to build. just use Aquin naturally, and your personalized model learns from everything you do. then publish it to our marketplace, generate API keys, or build applications on top of it.

this isn't just about better UX or cooler features. it's about removing the barriers: complexity, cost, time, and expertise. making AI development accessible to everyone. from passive users to active creators. from paying for access to building and owning your own intelligence.

the technology is finally ready. small, powerful models can be fine-tuned in minutes. QLoRA/LoRA makes training incredibly efficient. RAG enables massive context without retraining. the infrastructure exists to make personalized AI actually accessible.

and the timing is perfect. people want AI that actually understands their context. they're tired of re-explaining things every conversation. they want models trained on their workflows, their data, their style—not generic responses from one-size-fits-all systems.

the gap between what's technically possible and what's practically available has never been smaller. training used to require research labs and million-dollar budgets. now? 2-3 minutes and a few clicks.

we've already proven it works.

if we move now, we can establish the open, accessible alternative while the technology is accelerating. create the tools that let anyone build, own, and monetize AI models. capture this moment when barriers are collapsing and possibilities are exploding.

the future isn't just better AI products. it's individuals owning their own AI, trained on their own data, working exactly how they need it to work. and that future is available right now.