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Infrastructure

Domain User
Embeddings

We train custom embedding models on your data to surpass general purpose models in specific domains.

Outcome-based Training
Domain Specificity
High Precision
We've trained our own embedding models based on 10,000+ expert-reviewed matches to create systems that align embeddings with desired outcomes rather than just semantic similarity.
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General Embedding Space
User Tower
Outcome Tower
ArchitectureDual-Encoder
Without Domain Embeddings
✗Generic embeddings plateau at ~70% accuracy
✗Semantic similarity ≠ business outcome
✗One-size-fits-all vectors miss domain nuance
With Domain Embeddings
✓Significantly better recall in specific domains
✓Trained on expert-reviewed matches
✓Aligns with business outcomes

Disentangling intent
from semantics.

Standard embeddings treat all content equally, failing to distinguish between style, intent, and outcome. In high-stakes verticals like hiring, fraud detection, or reciprocal recommendations, semantic similarity is not enough.

The Solution: We train dedicated models that learn embedding spaces for your specific domain and align them based on successful outcomes, not just text overlap.

Outcome Alignment

Optimize vectors to predict successful interactions (clicks, hires, sales) rather than just linguistic similarity.

Domain Specificity

Models that understand the nuance of your specific industry and data structure.

Expert Trained

Trained on thousands of expert-reviewed matches to ensure high quality ground truth.

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