Turn unstructured text into structured value.
Extraction, classification, summarisation, and search across emails, tickets, contracts, claims, and the long tail of business text.
- First task in production
- 0-8wk
- Extraction precision
- >0%
- Languages supported
- 0+
- Auditable predictions
- 0%
NLP that respects your domain.
Generic NLP misses the things your domain calls by different names. We collect, label, and tune on your corpus so the model recognises your contracts, claims, products, and people the way your team does.
- Named-entity, relation, and event extraction tuned to your taxonomy
- Multi-label classification with human-in-the-loop where it matters
- Multilingual coverage where the corpus demands it
From discovery to production.
- 01
Discover
Audit the corpus, define the labels and edge cases, and pick the model strategy.
- 02
Prototype with evals
Build a labeled holdout suite. Models pass when they hit precision and recall targets your team will defend.
- 03
Deploy
Shipped behind your auth boundary with batch and streaming endpoints, cost dashboards, and a labeling loop for hard cases.
- 04
Operate
Active learning on uncertain cases, regular re-evaluation, and a feedback loop that compounds.
Drowning in unstructured text that nobody has time to read?
Book a 30-min consultWhat you get.
Predictions you can defend, not vibes.
Every prediction has a confidence score, every model release runs through a labeled eval, and every uncertain case routes to a human for labeling. The system gets better in the open.
- Confidence-scored predictions; thresholds tuneable per workflow
- Active-learning queues feeding back into training data
- Audit logs sufficient for regulated workflows
Common questions.
Make your text data work for you.
Free 30-minute consultation. Bring a corpus; we'll outline what's possible.
Schedule consultation