Sold by: ETIQ AI
Deployed on AWS
AWS Free Tier
A software solution to identify opportunities and test for weaknesses in your AI
Overview
Etiq.ai is a flexible and customizable software tool for data scientists, risk, and business managers in the insurance, lending, and the finance technology industry. Etiq helps to discover new business opportunities, mitigate risk, increase productivity, data accuracy, and transparency by identifying and mitigating unintended bias in machine learning algorithms. Etiq's functionality allows data scientists & risk managers to test and store pipelines, then make parallel comparisons between pipelines when experimenting with debiasing. It allows you to identify areas of improvement, perform model monitoring and diagnosis in your algorithms. For both tech and commercial teams, an interactive dashboard that helps understand and substantiate the drivers behind machine learning models, showcase risk evaluation, accuracy, fairness, and growth potential.
Highlights
- AI monitoring
- AI governance
- Machine learning
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.small Recommended | $5.34 |
t2.micro | $5.34 |
t3.micro | $5.34 |
t3.medium | $5.34 |
t2.medium | $5.34 |
c6in.large | $5.34 |
t3a.medium | $5.34 |
c5ad.large | $5.34 |
c6i.large | $5.34 |
c5n.large | $5.34 |
Vendor refund policy
Yes, email support.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
- Data Fingerprinting
- Added Apple Silicon Support
Additional details
Usage instructions
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Top
100
In ML Solutions
Top
100
In Data Governance
Top
25
In Observability, Software Development
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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Customer service
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AI generated from product descriptions
Bias Detection and Mitigation
Identifies and mitigates unintended bias in machine learning algorithms across insurance, lending, and fintech applications.
Model Testing and Comparison
Enables testing and storage of pipelines with parallel comparison functionality for experimenting with debiasing techniques.
Model Monitoring and Diagnosis
Provides model monitoring and diagnosis capabilities to identify areas of improvement in algorithms.
Fairness and Risk Evaluation
Evaluates and substantiates machine learning model drivers including fairness metrics, risk assessment, and accuracy measurements.
Interactive Analytics Dashboard
Offers an interactive dashboard for visualizing model performance, risk evaluation, fairness metrics, and growth potential for technical and commercial teams.
Data Quality Monitoring
Automated monitoring and alerting across data vitals with out-of-the-box anomaly detection and configurations for identifying data quality issues.
Multi-Data Type Support
Capability to monitor tabular, image, and text data types across machine learning applications and data pipelines.
Privacy-Preserving Architecture
Platform operates on processed data summaries rather than raw data, enabling privacy preservation and no-configuration deployment at scale.
Comprehensive ML Observability
Unified monitoring of model inputs, outputs, performance metrics, data drift, concept drift, and upstream data quality issues in a single platform.
Broad Integration Ecosystem
Integration with popular ML and data tools including Pandas, Apache Spark, AWS SageMaker, MLflow, Flask, Ray, RAPIDS, and Apache Kafka.
Agent and Application Observability
Full visibility into AI agent behavior through tree-structured traces capturing user inputs, routing logic, tool calls, memory access, and model outputs with native support for Amazon Bedrock Agents and open-source frameworks
Prompt Optimization and Testing
Prompt IDE environment enabling design, testing, and comparison of prompt versions with live inputs, outputs, and integrated evaluation results for iterative improvement
LLM and Agent Evaluation
Offline and online LLM-as-a-Judge evaluations assessing accuracy, tool-calling, planning, and goal achievement across agent workflows
Closed-Loop Improvement Workflows
Self-improving agent capabilities combining trace analysis, evaluation feedback, and golden datasets for continuous iteration and performance enhancement
Real-Time Monitoring and Alerting
Custom metrics definition and monitoring of latency, token usage, and failures with alert configuration for production issue detection and prevention
Standard contract
No
No
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