Model Monitoring & Oversight

Deploy reliable AI models you can trust

Model Monitoring & Oversight automates systematic review of model inference to help AI teams observe and improve models in production:

Exception handling: resolve low-confidence inferences and edge cases for production workflows.
Model monitoring: measure and monitor the accuracy and reliability of computer vision models against human-verified ground truth.
Quality assurance (QA): comprehensive, 100% examination of all data to provide the highest level of quality assurance.
Model auditing: independently verify production models’ behavior against key risk frameworks from a trusted third party.
Model improvement: analyze efficacy and identify model performance issues and improvements in AI models.

Annotation Types Supported

Optimize your AI models with high-quality 2-D image and video annotation.

Image Classification
Object Detection
Instance Segmentation
Semantic Segmentation
Keypoint Annotation
Video Understanding

Image Classification

AI-assisted annotation models continuously adapt to your data, getting better at predicting labels, including image tags and label attributes. Categorize images based on their visual content with a few simple clicks.

Object Detection

AI-assisted annotation models continuously adapt to your data, getting better at predicting labels, including bounding boxes. Identify and locate objects within images or videos in record time.

Instance Segmentation

AI-assisted annotation models continuously adapt to your data, getting better at predicting labels, including masks and polygons for object classes. Delineate between each specific instance of objects within an image in no time at all.

Semantic Segmentation

AI-assisted annotation models continuously adapt to your data, getting better at predicting labels, including masks and polygons for semantic classes. Group different parts of an image into distinct segments with pixel-perfect precision.

Keypoint Annotation

Our best-in-class tooling and data annotation services support keypoint annotations for use cases, including movement tracking, facial recognition, and pose estimation. Mark specific points of interest on an object within an image–it’s fast and simple.

Video Understanding

Our best-in-class tooling and data annotation services support video annotation for use cases, including human activity recognition, action recognition, and event recognition. Analyze and interpret the content and context of a video in a flash.

Why you need Model Monitoring & Oversight

Improve model reliability and deploy into production with confidence.

Faster time to market

Boost competitive advantage and operational efficiency by getting AI models into production faster to enhance business agility, reduce time-to-market for new features or products, and enable real-time data driven decision making.

Improve your MLops

Streamline ML operations by minimizing disruptions, maintaining consistent performance under unforeseen circumstances, and enhancing your AI model’s ability to recover quickly from errors and anomalies.

Increase revenue and margin

Improve operational efficiencies, drive personalized customer experiences, accelerate time to market, and improve model performance through enhanced exception handling, model monitoring, and QA.

Reduce incidents

Reduce the number of incidents and mean time to resolve (MTTR) by detecting and rectifying model degradations faster.

Why CloudFactory?

Quality, Speed, and Scalability

AI-assisted labeling + human expertise = the quality, speed, and scale your project needs.

AI-Powered Automation

Automation that continuously adapts to your data labeling and use case needs.

Critical Insights

We’ll let you know when something isn't working before we label your entire dataset.

Security and Confidentiality

Dedicated to process excellence, data security, and compliance—ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.

Experience and Service

Deep workforce expertise developed over 8M hours of data labeling for ML model training.

Get to Market Faster

Our proven operational methodology brings you the best result sooner with less effort.

We’re driving better oversight and observability in our production AI models. Through our partnership with CloudFactory’s Model Monitoring & Oversight, we’re improving monitoring and proactively detecting model degradations faster to minimize downtime.

Leonard Grazian

Engineering Manager, GameChanger