Training makes perfect models.
At Prism LLM Labs, we help AI teams eliminate the chaos of data preparation. From raw data to refined intelligence — we design, label, and deliver the high-quality datasets your models need to perform perfectly.
We believe training data should prove its worth — not just promise it.
That’s why Prism LLM Labs operates on a performance-first basis
How we can help
You probably have an idea the type of labelled data your model needs and what could go wrong if your labelling is sloppy — inconsistent labels, drifting guidelines, and unclear annotation logic. Outsourcing is possible with us.
At Prism LLM Labs, we design and deliver human-in-the-loop annotation pipelines that transform training chaos into training clarity.
Your team builds the model — we make sure it learns from the right data.
Text & NLP Labeling
Sentiment, intent, entity tagging, summarization, and more.
Vision & Image Labeling
Bounding boxes, masks, and classifications with audit-ready accuracy.
Active Learning Integration
Close the feedback loop — let your model guide the next annotation batch.
Consulting
Multi-pass review, inter-annotator agreement, and validation scripts.
Annotation Strategy & Design
Schema creation, task setup, and project documentation.
Dataset Delivery
Final, clean, and versioned data aligned with your model’s format.
Our Approach
Human-in-the-loop pipelines that evolve with your model. Our process combines automation with human precision
- Project Scoping: Define objectives, label schema, and data specs.
- Guideline Setup: Build clear annotation rules for accuracy and consistency.
- Active Learning Cycle: Use model feedback to surface the most valuable samples.
- Human-in-the-Loop Annotation: Expert annotators label and refine data.
- Quality Assurance: Automated validation + human review loops.
- Delivery & Monitoring: Final dataset ready for training, complete with lineage tracking.
Privacy & Security
Built for trust, from data intake to delivery.
We treat your data like production code — secure, compliant, and version-controlled.
- NDA-backed workforce
- Encrypted data handling and transfer
- No data retention beyond project delivery
- Strict separation of datasets and labeling environments
Because privacy isn’t optional — it’s integral to trust.
Let’s make your data work harder.
Your next model breakthrough begins with better training data.
Let’s talk about how Prism LLM Labs can power your AI with precision labeling.
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