PRISM
The Data Health Engine
Prism automatically detects issues, finds their root causes, and helps teams fix and optimize models faster across image, video, text and tabular datasets.
More than 40,000 teams use RagaAI platform
180+
Quality Data products built
300+
Data quality tests produced
60%
Faster data cleaning cycles
COMPUTER VISION
Validate and debug computer vision models across multiple visual tasks.
TEXT
Clean, anonymize, and structure textual data for LLM and NLP model testing.
Quality Filtering & Deduplication
Removes low-quality, redundant, and irrelevant text samples.
PII & Data Balancing
Ensures privacy (via PII removal) and unbiased data through controlled blending/shuffling.
TABULAR
Ensure structured data consistency, drift-free performance, and high model reliability.
Prism’s Tabular Data tests automatically monitor schema changes, feature drift, and regression errors, ensuring your models stay accurate and reliable across evolving datasets.
Feature & Schema Validation
Identify missing values, schema mismatches, and null or outlier issues before model training.
Regression & Performance Analysis
Detect prediction errors, class imbalance, and data leakage across versions.
Drift and Trend Monitoring
Track distribution shifts and feature drift to maintain consistent model performance over time.
