AI Observability tailored to your Industry

Censius AI Observability platform implements automated AI monitoring and explainability for a wide range of industries and solutions.

Censius AI Observability Platform for your specific needs

Censius AI Observability platform implements automated AI monitoring and explainability for a wide range of industries and solutions.

  • Credit Scoring

    • Build transparent credit scoring models and explain every score prediction to customers

    • Explain credit risks to internal stakeholders before penalizing customers

    • Continuously monitor credit scoring models for performance, drift, bias, and quality issues

  • Cybersecurity

    • Detect anomalous model behavior at its onset to prevent major risks to data exposure

    • Understand the root cause behind model faults and instantly launch recovery plans

    • Reduce time-to-resolve issues and consequently solution downtime

  • Chatbot solutions

    • Continuously and automatically monitor if NLP models are performing as expected

    • Track subtle drifts in customer responses and detect the root cause for such behavior

    • Increase successful customer engagement with consistent NLP performance

  • Insurance Fraud Detection

    • Detect suspicious activities and subtle anomalies with continuous automated monitoring

    • Understand the root cause behind issues flagged by Censius monitors

    • Maintain consistent performance and ROI over pre-defined thresholds

  • Claims Processing

    • Detect subtle changes in input patterns for computer vision solutions used in claim routing

    • Instantly flag issues when image data shows signs of poor quality or drift

    • Explain model predictions for critical data points to customers and internal stakeholders

  • Insurance Offer Recommendation

    • Continuously and automatically monitor if NLP models are performing as expected

    • Track subtle drifts in customer responses and detect the root cause for such behavior

    • Instantly catch drifting customer behavior to design offers accordingly

  • Medical Record Processing

    • Continuously and automatically monitor if computer vision solutions are correctly capturing documents

    • Detect drifts in document patterns and drop in data quality

    • Maintain high accuracy for sensitive documents with cohort monitoring tools

  • Disease Detection and Monitoring

    • Track the performance of health trackers to maintain stability in detection or prediction methods

    • Pin down the root cause behind predictions and alerts sent by the health monitors

    • Analyze and report analysis results with flexible dashboards and widgets

  • Chatbot solutions

    • Continuously and automatically monitor if NLP models are performing as expected

    • Track subtle drifts in patient’s responses or medical data and detect the root cause behind them

    • Improve patient consultations and engagement with consistent NLP performance

  • Autonomous machinery

    • Manufacturing machinery is sensitive and monitoring makes AI in manufacturing more reliable

    • Detect root cause behind issues in record time and reduce downtime

    • Increase transparency of autonomous model with explainable AI

  • IoT Interfacing

    • Increase data reliability with continuous and automated data quality and drift monitoring

    • Monitor input and output of IoT devices and flag subtle abruptions early on

    • Explain model learnings such as preferred light intensity or temperature to end-users

  • Predictive Maintenance

    • Ensure high sensitivity and precision of predictive maintenance models with continuous monitoring

    • Instantly understand the why behind every prediction to validate them before expensive repairs

    • Plan maintenance activities in advance based on consistently tracked drift patterns

  • Predictive Marketing

    • Ensure high returns from reliable predictions on campaigns

    • Understand the specific causes behind campaign failure or success

    • Continuously monitor customer data to detect subtle drifts in behavior or buying patterns

  • Inventory Management

    • Monitor to save cost with reliable restocking and sales predictions

    • Explain budget plans to supervisors or management with explainable AI

    • Increase model transparency by building and sharing monitoring reports with all stakeholders

  • Customer Support

    • Continuously and automatically monitor if NLP models are performing as expected

    • Track subtle drifts in customer’s responses or purchase data and detect the root cause behind them

    • Improve customer engagement with consistent NLP performance and quick adaptability

  • Grading Software

    • Continuously monitor the trustworthiness of AI-based grading with minimal resources

    • Explain AI decisions on grades to students and guardians with high clarity

    • Resolve issues in record time before the model can have any major impact on students

  • Learning recommendations

    • Monitor the predictive capability of recommender systems built for targeted learning

    • Explain personalised recommendations and the specific benefits of the curriculum

    • Instantly catch drifts in student’s learning patterns or reception of recommendations

  • Administrative AI

    • Monitor performance of report generation and communication pipelines

    • Maintain personalized and frequent engagement with guardians through continuously monitored NLP

    • Redirect employee efforts towards more strategic tasks by automating monitoring activities

Banking

  • Credit Scoring

    • Build transparent credit scoring models and explain every score prediction to customers

    • Explain credit risks to internal stakeholders before penalizing customers

    • Continuously monitor credit scoring models for performance, drift, bias, and quality issues

  • Cybersecurity

    • Detect anomalous model behavior at its onset to prevent major risks to data exposure

    • Understand the root cause behind model faults and instantly launch recovery plans

    • Reduce time-to-resolve issues and consequently solution downtime

  • Chatbot solutions

    • Continuously and automatically monitor if NLP models are performing as expected

    • Track subtle drifts in customer responses and detect the root cause for such behavior

    • Increase successful customer engagement with consistent NLP performance

Insurance

  • Insurance Fraud Detection

    • Detect suspicious activities and subtle anomalies with continuous automated monitoring

    • Understand the root cause behind issues flagged by Censius monitors

    • Maintain consistent performance and ROI over pre-defined thresholds

  • Claims Processing

    • Detect subtle changes in input patterns for computer vision solutions used in claim routing

    • Instantly flag issues when image data shows signs of poor quality or drift

    • Explain model predictions for critical data points to customers and internal stakeholders

  • Insurance Offer Recommendation

    • Use intuitive dashboards and analysis widgets to explain why certain offers work better together

    • Explain poor performance of specific offers to business teams and other stakeholders

    • Instantly catch drifting customer behavior to design offers accordingly

Healthcare

  • Medical Record Processing

    • Continuously and automatically monitor if computer vision solutions are correctly capturing documents

    • Detect drifts in document patterns and drop in data quality

    • Maintain high accuracy for sensitive documents with cohort monitoring tools

  • Disease Detection and Monitoring

    • Track the performance of health trackers to maintain stability in detection or prediction methods

    • Pin down the root cause behind predictions and alerts sent by the health monitors

    • Analyze and report analysis results with flexible dashboards and widgets

  • Chatbot solutions

    • Continuously and automatically monitor if NLP models are performing as expected

    • Track subtle drifts in patient’s responses or medical data and detect the root cause behind them

    • Improve patient consultations and engagement with consistent NLP performance

Manufacturing

  • Autonomous machinery

    • Manufacturing machinery is sensitive and monitoring makes AI in manufacturing more reliable

    • Detect root cause behind issues in record time and reduce downtime

    • Increase transparency of autonomous model with explainable AI

  • IoT Interfacing

    • Increase data reliability with continuous and automated data quality and drift monitoring

    • Monitor input and output of IoT devices and flag subtle abruptions early on

    • Explain model learnings such as preferred light intensity or temperature to end-users

  • Predictive Maintenance

    • Ensure high sensitivity and precision of predictive maintenance models with continuous monitoring

    • Instantly understand the why behind every prediction to validate them before expensive repairs

    • Plan maintenance activities in advance based on consistently tracked drift patterns

CPG

  • Predictive Marketing

    • Ensure high returns from reliable predictions on campaigns

    • Understand the specific causes behind campaign failure or success

    • Continuously monitor customer data to detect subtle drifts in behavior or buying patterns

  • Inventory Management

    • Monitor to save cost with reliable restocking and sales predictions

    • Explain budget plans to supervisors or management with explainable AI

    • Increase model transparency by building and sharing monitoring reports with all stakeholders

  • Customer Support

    • Continuously and automatically monitor if NLP models are performing as expected

    • Track subtle drifts in customer’s responses or purchase data and detect the root cause behind them

    • Improve customer engagement with consistent NLP performance and quick adaptability

EdTech

  • Grading Software

    • Continuously monitor the trustworthiness of AI-based grading with minimal resources

    • Explain AI decisions on grades to students and guardians with high clarity

    • Resolve issues in record time before the model can have any major impact on students

  • Learning recommendations

    • Monitor the predictive capability of recommender systems built for targeted learning

    • Explain personalised recommendations and the specific benefits of the curriculum

    • Instantly catch drifts in student’s learning patterns or reception of recommendations

  • Administrative AI

    • Monitor performance of report generation and communication pipelines

    • Maintain personalized and frequent engagement with guardians through continuously monitored NLP

    • Redirect employee efforts towards more strategic tasks by automating monitoring activities

— Trishtana Banerjee // Security Associate, Meshcloud
Cloud Foundation Platform | Germany

Censius UI has a very clean look and is easy to use. I found monitoring options to be thorough with a good range of flexibility for both generic and specific monitoring needs. I can easily create a specific monitor for a suspicious data segment, and whenever that monitor triggers, I know exactly where to look first. This adds velocity to AI solutions.

— Trishtana Banerjee // Security Associate, Meshcloud
— Rajat Soni// Web Engineer, Factmata
Public Relations and Communications Services | London

We have weekly calls with the ML team where they discuss the models in training but the conversations lack transparency. Usually more communication is needed to deep-dive into how the model is performing. With Censius monitors and dashboard reports, there'll be transparency into the model decisions, cutting down the to-and-fro iterations.

— Rajat Soni// Web Engineer, Factmata
— Rishav Ray // Data Scientist, Nykaa
E-commerce | 1000+ Employees | $148M Raised

The product has been really well built, and by using this we can definitely monitor all ML-based metrics. I see the value of leveraging it at the tail end of our ML life cycle

— Rishav Ray // Data Scientist, Nykaa

New to AI Observability?
Start with the AI Observability Guide

Get ebook
Congratulations, you'll receive your ebook shortly!
Oops! Something went wrong while submitting the form.
A guide to stepping into AI Observability ebbok

Censius automates model monitoring

so that you can 

boost healthcare

improve models

scale businesses

detect frauds

boost healthcare

improve models

scale businesses

detect frauds

boost healthcare

Start Monitoring