
Aquin Labs
On a mission to democratize AI — making the creation of top-tier models radically simple, fast and accessible to every individual, startup and enterprise on earth.
Vibe Code LLMs
Aquin Labs
Aquin Labsokay, so what's Aquin?
Aquin is an LLM training platform. vibe code your own LLMs — the same way people vibe code apps with Cursor or Lovable, but for AI models. no ML expertise. no infrastructure. feed it content, walk away with a trained model.
feed it anything: text, PDFs, code, images, screen recordings, websites, YouTube transcripts, Google Drive, Gmail, audio. pick a model from Hugging Face, choose fine-tuning or RAG, and go.
train locally or in the cloud. generate API keys. publish to the marketplace. or keep everything to yourself.
cool but why?
anyone wanting their own AI model today faces four brutal problems: high cost, high effort, a lot of time, and serious complexity. training from scratch costs hundreds of millions. fine-tuning requires ML expertise and months of setup.
we're doing for AI what personal computers did for software — removing every barrier between an idea and something real. no ML degree. no infrastructure. no complex pipelines.
makes sense, why now tho?
QLoRA, LoRA, and RAG make personalized AI viable right now. what used to take research labs and million-dollar budgets takes a few clicks and a few minutes. we've already proven it works.
if we move now, we establish the open alternative before it gets monopolized again. the future of AI is owned, not rented.
easily customize all specs
use ai to make ai
Aquin LabsGreat choice! For a general-purpose model, you'll want diverse question-answer pairs covering everyday knowledge. Start with 200-500 high-quality examples across categories like science, history, and practical how-tos. What's your target audience?
Keep it simple — alternating question/answer format works best. Mix short factual answers with longer explanations. You can export as TXT, JSON, JSONL, or CSV depending on your framework.

editor with rich integrations
What is the capital of France?
The capital of France is Paris. It is located in the north-central part of the country.
How do I make scrambled eggs?
Beat 2-3 eggs in a bowl, add a splash of milk, heat butter in a pan over medium heat, pour in the eggs, and gently stir until soft and fluffy.
Explain photosynthesis in simple terms.
Photosynthesis is how plants make their own food using sunlight, water, and carbon dioxide, releasing oxygen as a byproduct.
What are three benefits of regular exercise?
Regular exercise improves cardiovascular health, boosts mood, and helps maintain a healthy weight.
Write a short poem about the ocean.
Waves crash upon the sandy shore, salt spray dances in the breeze. Endless blue stretches evermore, where mysteries hide beneath the seas.
2-3 minute training time
no
lagging
advanced ml methods
simplified training
fine-tuning
Update all model weights
LoRA
Low-Rank Adaptation: ΔW = B × A
QLoRA
Quantized + Low-Rank Adaptation
RAG
Retrieval Augmented Generation(works with third-party llms as well)
train in any format
automatic formatting with ai
JSON
Export your training data as structured JSON arrays with full metadata and nested properties for maximum flexibility.
JSONL
Export as JSON Lines format - one complete JSON object per line, ideal for streaming and processing large datasets efficiently.
CSV
Export as comma-separated values with headers - simple, lightweight, and universally compatible with spreadsheets and databases.
TXT
Export as plain text with custom delimiters - perfect for simple question-answer pairs and human-readable training data.
[{"question": "What is the capital of France?","answer": "The capital of France is Paris, a major European city and a global center for art, fashion, gastronomy and culture.","category": "geography","difficulty": "easy","source": "world_facts_v2"},{"question": "How does photosynthesis work?","answer": "Photosynthesis is the process by which plants use sunlight, water, and carbon dioxide to create glucose and oxygen. This occurs primarily in the chloroplasts of plant cells.","category": "science","difficulty": "medium","source": "biology_basics"},{"question": "Write a haiku about coding","answer": "Code flows like water\nDebugging through the night\nCoffee keeps me alive","category": "creative","difficulty": "medium","source": "creative_writing"},{"question": "What is machine learning?","answer": "Machine learning is a subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed. It uses algorithms to parse data, learn from it, and make predictions.","category": "technology","difficulty": "medium","source": "ai_fundamentals"},{"question": "Explain the theory of relativity in simple terms","answer": "Einstein's theory of relativity shows that space and time are interwoven and relative to the observer. The faster you move through space, the slower you move through time. Massive objects also bend spacetime, creating what we experience as gravity.","category": "science","difficulty": "hard","source": "physics_explained"},{"question": "What are the main differences between Python and JavaScript?","answer": "Python is primarily used for backend development, data science, and automation, with indentation-based syntax. JavaScript is mainly for web development, running in browsers, with curly-brace syntax. Python is interpreted and strongly typed, while JavaScript is also interpreted but weakly typed.","category": "programming","difficulty": "medium","source": "coding_comparisons"},{"question": "Describe the water cycle","answer": "The water cycle is the continuous movement of water on, above, and below Earth's surface. It includes evaporation, condensation, precipitation, and collection. Water evaporates from surfaces, forms clouds, falls as rain or snow, and collects in bodies of water.","category": "science","difficulty": "easy","source": "earth_science"},{"question": "What is blockchain technology?","answer": "Blockchain is a distributed ledger technology that records transactions across multiple computers in a way that makes them nearly impossible to alter retroactively. Each block contains transaction data, a timestamp, and is cryptographically linked to the previous block.","category": "technology","difficulty": "hard","source": "fintech_guide"}]
Type datasets to build strong memory and context with your mails, files, URLs, browser, audio and screen context.
Hugging Face
Browse, download, use and train any model from Hugging Face with datasets using fine-tuning, LoRa and QLoRa or use RAG system.
Anthropic
Select provided claude models. Use datasets with a strong RAG system for long term and large memory and context.
OpenAI
Select provided OpenAI models. Use datasets with a strong RAG system for long term and large memory and context.
the labs:
Aquin Labs is a research and development engine, not just a product company. the platform today is the foundation — training pipelines, RAG, fine-tuning infrastructure. beyond it: a marketplace for publishing and monetizing models, better economics for AI hosting, and deeper research into what truly personalized AI can become.
problems we're solving:
efficiency
training and inference should be fast and cheap. we're optimizing hard for both CPU and GPU, with zero lag even across simultaneous processes.
factuality
models hallucinate. we're building RAG-first architectures and dataset curation systems that keep trained models grounded in real knowledge.
robustness
models break under edge cases. we're investing in training pipelines that produce models that actually hold up in production.
safety
unconstrained models are dangerous. every model trained on Aquin is built with privacy, safety, and responsible use as a core constraint, not an afterthought.
bias and fairness
biased training data produces biased models. we're building tooling to help users understand and clean their datasets before training ever starts.
reasoning and planning
current models struggle with multi-step reasoning. we're exploring how to bake stronger reasoning into fine-tuned and RAG-powered models.
continual learning
models go stale. we're building background training and checkpoint systems so your model keeps learning from new data without starting over.
we're starting extremely specific: the model training platform. but these problems are the north star. every feature we build, every infrastructure decision we make, is a step toward solving them at scale.
we believe the best way to fix AI is to democratize who builds it. when millions of people can train, own, and iterate on their own models, the feedback loop accelerates. diversity of builders means diversity of solutions.
Thanks for reading!
~Love, Team Aquin
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