EVOLEARNS PRODUCT OVERVIEW
Train AI
Train AI
Build better models through smarter feedback loops
Self-Learning Systems
Continuous learning pipelines to reduce labeling cost over time
Ensemble Validation
Evaluate agreement between multiple models for stronger predictions
Synthetic Data QA
Visual and statistical tools to validate synthetic data fidelity
Adaptive Label Suggestions
Smart UI suggestions based on reviewer patterns and model outputs
Oversee AI
Oversee AI
Model auditing, QA enforcement, and data integrity
Model Oversight Dashboard
Track model predictions, reviewer performance, and task flow
Gold Standard Enforcement
Compare outputs against ground truth data to identify drift
Reviewer Analytics Suite
Stats, audit trails, and accuracy monitoring across projects
Compliance Mode
Enterprise features for regulated and sensitive environments
Label AI
Label AI
Efficient data annotation across every modality
EvoLabel Engine
Scalable data labeling for text, images, video, 3D, and LiDAR
LLM Feedback Studio
Human-in-the-loop review for large language models
AI-Assist Prelabeling
Automated annotations with human QA validation
Medical & Compliance Labeling
HIPAA-ready pipelines for healthcare and legal data
Visual QA Tools
Gold-standard overlays and error detection