Retrieval Optimization
Generic models guess. Ours learn. We automate the tuning of dense and sparse embeddings to your specific domain, ensuring that search results map to actual business intent.
Generic Embeddings
General-purpose models confuse distinct concepts without domain-specific fine-tuning.
Precision62%
Medical
Insurance
Cyber
K² Optimized
Domain tuning adjusts weights, moving relevant concepts closer and pushing noise away.
Precision94%
Medical
Insurance
Cyber
Synthetic Contrastive Alignment
We solve the cold-start problem by generating synthetic training triplets from your raw documents. Our pipeline mines hard negatives using embedding similarity to align models before a single user query is fired.
- Zero manual labeling required
- Automated negative mining
- Tuned in under 15 minutes
Input
Raw PDFs / HTML
Processing
Synthetic Triplets
Output
Aligned Weights