Censius is an all-in-one AI observability solution designed to monitor, explain, and analyze machine learning models. It offers clients automated monitoring and proactive troubleshooting to ensure reliable models throughout the ML lifecycle, eliminating bias and ensuring model transparency.
Censius provides a broad range of services, including registering models, capturing predictions and logs, and conducting data and feature quality checks. With deep-diving into what features contribute to model performance, clients can identify the best-performing models and improve model output.
Additionally, Censius seamlessly integrates with Java & Python SDKs or REST API and can be deployed on cloud or on-premise. In a nutshell, Censius's suite of powerful features enables clients to create trustworthy AI solutions that drive business outcomes while reducing resource costs.
TLDR
Censius is an end-to-end AI observability solution that helps monitor, explain, and analyze ML models. With automated monitoring and proactive troubleshooting, Censius ensures model transparency, eliminates bias, and helps clients identify the best-performing models while improving model output.
Censius provides real-time model performance data via an easy-to-use dashboard, making it simple for clients to understand how a model adds business value. Clients can automate the continuous monitoring of models to detect drifts, outliers, data quality issues, and dive deeper into every model decision, ensuring model transparency and explainability.
Additionally, with flexible, easy to use monitors, Censius adds velocity to AI solutions, which reduces back and forth iterations. Censius seamlessly integrates with Java & Python SDKs or REST API and can be deployed both on-premise and on the cloud. It also integrates with various platforms and services to provide comprehensive analytics and reporting features to businesses.
Censius offers flexible and affordable pricing options and values data protection, where users can manage the privacy controls of their data, control how their data is used, limit parties that have access to it, and configure how it is encrypted and shared.
Company Overview
Censius is an end-to-end AI observability solution that helps monitor, explain, and analyze ML models. They offer automated monitoring and proactive troubleshooting to build reliable models throughout the ML lifecycle, ensuring model transparency and eliminating bias. Censius provides an extensive range of services from registering models, capturing predictions and logs to conducting data & feature quality checks, verifying model performance using metrics, and deriving possible ROI out of ML initiatives.
Censius has an easy-to-use dashboard that provides real-time model performance data to understand how a model is adding business value using specific business metrics and visualization. By deep-diving into what features are contributing to model performance, clients can identify the best performing models and improve model output. Clients can also automate the continuous monitoring of models to detect drifts and outliers and dig down on every model decision to identify the components that lead to it.
Censius seamlessly integrates with Java & Python SDKs or REST API and can be deployed on cloud or on-premise. Clients can register a model, log features, and capture predictions in just a few lines of code. Censius provides transparency into the model decisions with its monitors and dashboard reports, cutting down the to-and-fro iterations.
This saves a lot of time and effort, enabling clients to create trust among users by enabling model explainability for every decision. Censius monitors offer a good range of flexibility for both generic and specific monitoring needs, adding velocity to AI solutions.
Overall, Censius offers a powerful suite of features to monitor, explain, and analyze ML models throughout their lifecycle to deliver reliable ML. With automated models' continuous monitoring, proactive troubleshooting, and model explainability, clients can eliminate bias, improve model output, and increase ROI while reducing resource costs.
Features
Censius Monitors
Automated Monitoring
Censius Monitors provide automated monitoring of the entire ML pipeline for performance, drift, outliers, and data quality issues. With real-time alerts for performance violations on preferred channels, teams can take quick corrective actions and ensure consistent high-performance models that increase ROI and reduce resource costs.
Issue Resolution
The automated issue resolution feature of Censius Monitors ensures that time-to-resolve issues are minimized. Teams can dive deeper into model functioning by performing root cause analysis using the Censius Explainability feature, allowing them to understand what features and data segments are responsible behind every model decision.
The monitors are easily configurable with dozens of monitor configs to track the entire ML pipeline without writing any code.
User-Friendly Interface
The Censius Monitors are built with an easy-to-use interface that allows for effortless registration of models, logging of features, and capturing of predictions in just a few lines of code. With 98% of users finding it easy to set up, Censius Monitors provide velocity to AI solutions.
Censius Explainability
Deep Dive Analysis
Censius Explainability allows teams to dive deep into a model's decision-making by performing root cause analysis on the features and data segments responsible for every model decision. This provides a detailed and transparent view of model decisions and reduces the time and effort required for iterations between teams.
Time-Saving Troubleshooting
With Censius Explainability, teams can easily troubleshoot model issues and gain complete visibility of model functioning. The AI explainability feature analyzes every model decision, saving time and effort required for troubleshooting.
Easy, Shareable Dashboards
Censius Explainability provides access to real-time model performance with easy-to-understand and shareable dashboards. Teams can analyze every model decision using AI explainability, quantify ROI of ML initiatives and share model performance with other teams. This makes it easier to get leadership buy-in on critical model decisions.
Flexibility and Integration
Multiple Integration Methods
Censius allows for seamless integration through Java & Python SDKs or REST API and can be deployed on cloud or on-premise. This makes it easy to integrate Censius with existing frameworks and technologies, allowing teams to quickly start building trustworthy AI solutions.
Thorough and Easy-to-Use
Censius Monitors and Explainability are built with flexibility and ease of use in mind. The monitors are thorough and provide a good range of flexibility for both generic and specific monitoring needs. Teams can track monitor violations and analyze issues without writing any code, adding velocity to AI solutions.
Convenient Continuous Monitors
The continuous monitors of Censius provide convenience to clients as well as other stakeholders. They help identify if, when, and why the model has degraded and if it requires training, making it easy to maintain high-performance models without constant human intervention.
Comprehensive One-Stop Solution
Post-Deployment Support
The Censius AI Observability Platform is a one-stop solution for all post-deployment needs of ML models. With automated monitoring, AI explainability, and analytics, teams can take control of their production models and serve high-performance models consistently.
No Extra Cost
Censius AI Observability Platform provides comprehensive features at no extra cost, allowing teams to scale enterprise ML without incurring additional expenses. Additionally, with the ability to quantify ROI of ML initiatives, teams can make critical model decisions that drive business outcomes.
Fostering Team Learning and Growth
Censius fosters team learning and growth with a culture that values the constant learning, building, and growing together. Teams can get started with the Censius ebook that helps them take the first step towards building trustworthy AI. With these features, teams can build reliable ML models that drive business outcomes.
Integrations
Censius is an AI-powered tool that can be integrated with various platforms and services to provide comprehensive analytics and reporting features to businesses. Here are some of the integrations that Censius offers:
Google Analytics
Censius can be easily integrated with Google Analytics to provide businesses with contextual insights into their website traffic. This integration allows businesses to identify the sources of their website traffic, how users are interacting with their website, and where their website visitors are located. By combining the power of Censius's AI algorithms with Google Analytics, businesses can get a comprehensive understanding of their website performance and make informed decisions to improve their online presence.
Shopify
Censius can also be integrated with Shopify to provide businesses with a comprehensive view of their eCommerce performance. This integration allows businesses to understand how their customers are interacting with their online store, which products are most popular, and how well their marketing campaigns are performing. By having all this information in one place, businesses can gain valuable insights into their eCommerce performance and make informed decisions to optimize their online store for better sales conversion rates.
Facebook Ads
Censius can be integrated with Facebook Ads to provide businesses with in-depth insights into their audience's behavior and preferences. This integration allows businesses to track their ad spend and measure the ROI of their Facebook advertising campaigns. By combining the power of Censius's AI algorithms with Facebook Ads, businesses can create more effective advertising campaigns by ad targeting specific demographics, interests, and behaviors of their audience.
HubSpot
Censius can also be integrated with HubSpot to provide businesses with a complete view of their marketing and sales performance. This integration allows businesses to track their website traffic, email marketing campaigns, social media engagement, and sales performance all in one place. By eliminating data silos and having all this information in one place, businesses can identify areas of improvement and gain valuable insights to make meaningful marketing and sales strategy decisions.
Zendesk
Censius can be integrated with Zendesk to provide businesses with an AI-powered helpdesk solution. This integration allows businesses to streamline their customer support processes and provide the best possible service to their customers. Censius offers an AI-powered chatbot that can handle common customer queries, freeing up human agents to deal with more complex issues.
By using Censius's chatbot, businesses can improve response times, reduce human error, and provide a better overall customer experience.
Pricing
Censius offers flexible and affordable pricing options. With the basic plan, users get access to unlimited users, pay only for what they use, and have no credit card requirement.
This is the perfect plan for starters and small teams who want to explore how Censius can help them monitor, explain, and analyze their ML models. For those who want to do more, there is the pro plan for teams that want to manage models and work with developers.
With Censius, you'll have transparency into model decisions, cutting down on time-consuming back and forth iterations. The product has a clean user interface, making it easy to use and allows users to create specific monitors for suspicious data segments with a good range of flexibility for both generic and specific monitoring needs. This adds a velocity to AI solutions, making the monitoring of machine learning solutions more efficient and effective for consistent performance and ROI.
Users can explain blackbox AI decisions to customers and stakeholders, especially during prediction failures. They can analyze and share reports across the hierarchy of stakeholders and prioritize and customize alerts to handle critical cases first. Additionally, users can add and measure any metric that exactly fits their business use case and build clean and organized user accounts with access controls for each level.
Censius values customer trust and knows how important it is to protect sensitive assets like data. To earn this trust, the company works closely with users to understand their data protection needs and offers the most comprehensive set of services, tooling, and expertise to help protect their data. Censius even offers technical, operational, and contractual measures needed to protect user data.
Users can manage the privacy controls of their data, control how their data is used, limit parties that have access to it, and configure how it is encrypted and shared. Censius underpins these capabilities with the most flexible and secure options and even has on their roadmap a managed service option where the data resides on users' Cloud and even an on-premise deployment.
If you're interested in exploring Censius's product before onboarding with a plan, contact the company for a customized demo and receive product credits based on your specific requirements.
FAQ
What is Censius?
Censius is an end-to-end AI observability solution that monitors, explains, and analyzes ML models throughout their lifecycle. It offers automated monitoring and proactive troubleshooting to guarantee reliable models, eradicate bias, and boost ROI.
What are the benefits of using Censius?
Censius offers various benefits to clients, including model transparency, model explainability, continuous monitoring, proactive troubleshooting, and ultimately reliable ML models. Clients can register a model, log features, and capture predictions quickly and efficiently with just a few lines of code. Censius provides transparency into the model decisions with its monitors and dashboard reports, cutting down the time and effort required to identify the components that lead to a decision, making it easy to create trust amongst users by enabling model explainability for every decision.
What are the main features of Censius?
Censius offers an extensive range of services, including registering models, capturing predictions and logs, conducting data and feature quality checks, verifying model performance using metrics, and deriving possible ROI out of ML initiatives. By deep-diving into what features are contributing to model performance, clients can identify the best performing models and improve model output. Censius monitors offer a good range of flexibility for both generic and specific monitoring needs, adding velocity to AI solutions.
How does Censius monitor models?
Censius monitors models by tracking model performance over time, flagging issues such as poor data quality, model drift, bias, and degrading performance. Censius offers dozens of monitor configurations to track the entire ML pipeline, from the model input data, the ML model internals, to the final output predictions.
Additionally, Censius seamlessly integrates with Java & Python SDKs or REST API and can be deployed on cloud or on-premise.
Can clients automate the monitoring of their models with Censius?
Yes, Censius automates the continuous monitoring of models to detect drifts and outliers efficiently. This feature offers a proactive solution that identifies issues beforehand, hence reducing the time taken for diagnosis and troubleshooting.
Clients can dig down on every model decision to identify the components that lead to it, ensuring model transparency and explainability.
Can Censius handle both on-premise and cloud deployment?
Yes, Censius can be deployed both on cloud and on-premise. Clients can register a model, log features, and capture predictions with just a few lines of code. Seamlessly integrating Censius through Java & Python SDKs or REST API ensures that it is easy to use both on-premise and on the cloud.
What languages does Censius support?
Censius supports Java and Python SDKs and REST API, enabling clients to use their preferred language while seamlessly integrating with their current systems.
How does Censius improve ROI on AI initiatives?
Censius helps improve ROI on AI initiatives by registering models, capturing predictions and logs, conducting data and feature quality checks, verifying model performance using metrics, and deriving possible ROI out of ML initiatives. Clients can easily identify the best performing models and improve model output by deep-diving into what features are contributing to the model performance.
Does Censius provide dashboard reports?
Yes, Censius offers an easy-to-use dashboard that provides real-time model performance data indicating how the model is adding business value using specific business metrics and visualization. With dashboard reports, clients can identify the best-performing models and improve model output.
How does Censius ensure model transparency and eliminate bias?
Censius ensures model transparency and eliminates bias through automated monitoring and proactive troubleshooting to build reliable models throughout the ML lifecycle. By digging down into every model decision, clients can identify the components that lead to it, ensuring model transparency and explainability.
Continuous monitoring of models detects drifts and outliers efficiently, offering a proactive solution that identifies issues beforehand. Censius monitors offer a good range of flexibility for both generic and specific monitoring needs, decreasing the chances of introducing bias.
