About Datricity AI
Training a great AI model doesn't start with the architecture - it starts with the data.
At Datricity AI, our mission is simple:
Help teams transform messy, unstructured content into clean, reliable training data for large language models.
Whether you're fine-tuning GPT-4 on your own customer support knowledge base or building a domain-specific assistant from scratch, data quality is everything. We built Datricity AI to make that quality easy to achieve, fast to scale, and repeatable across projects.
Why We Exist
Fine-tuning often fails because teams underestimate how hard it is to prepare their data:
- PDFs that don't extract cleanly
- Knowledge base entries with redundant or conflicting answers
- CSVs with inconsistent formatting
- Chat logs full of noise or missing structure
Datricity AI automates the tedious, manual steps - so you can focus on building better models.
What We Offer
- Multi-source ingestion (PDFs, websites, CSVs, databases)
- Automated cleaning and normalization
- Semantic deduplication to reduce redundancy
- Prompt/completion structuring
- Export to validated JSONL
Who We Help
- AI researchers preparing datasets for experimentation
- MLOps teams building internal training pipelines
- Enterprises training domain-specific support assistants
- Data science teams cleaning knowledge bases for retrieval or LLM fine-tuning
Our Philosophy
- Clean data is the foundation of trustworthy AI
- Data preparation should be automated, not improvised
- Every example in a fine-tuning corpus should earn its place
Ready to Get Started?
🚀 Start cleaning and structuring your data the right way.
With Datricity AI, you can move faster, reduce risk, and fine-tune with confidence.