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What is asqav?

asqav stands out as an innovative platform dedicated to the governance and security of artificial intelligence, ensuring that AI agents are consistently prepared for audits through real-time monitoring, enforcement, and a dependable log of every action taken. It boasts an efficient SDK that allows developers to seamlessly integrate governance capabilities into their AI agents with minimal code, enabling thorough oversight throughout the entire AI activity lifecycle. The platform also employs behavioral analysis to detect potential issues such as drift, exceeded rate limits, and scope violations, along with advanced threat detection systems that identify risks like prompt injections, leaks of sensitive data, and harmful outputs. Policy enforcement is facilitated by customizable “policy gates,” which establish specific rules for each agent, perform preflight evaluations, and offer dynamic approvals prior to any actions, ensuring that agents operate within defined boundaries. Moreover, asqav strengthens security with automated incident response functionalities that permit the suspension, isolation, or escalation of agents assessed as high-risk, thereby creating a comprehensive framework for maintaining accountability and safety in AI applications. Through these features, asqav not only protects AI operations but also fosters confidence in their use across a multitude of industries, thereby enhancing the overall efficacy and reliability of AI technologies. Ultimately, asqav serves as a crucial ally in the responsible deployment of AI, championing best practices in governance and security.

What is Aporia?

Create customized monitoring solutions for your machine learning models with our intuitive monitor builder, which alerts you to potential issues like concept drift, decreases in model performance, biases, and more. Aporia seamlessly integrates with any machine learning setup, be it a FastAPI server on Kubernetes, an open-source solution like MLFlow, or cloud services such as AWS Sagemaker. You can dive into specific data segments to closely evaluate model performance, enabling you to detect unexpected biases, signs of underperformance, changing features, and data integrity problems. When your machine learning models encounter difficulties in production, it's essential to have the right tools to quickly diagnose the root causes. Beyond monitoring, our investigation toolbox provides an in-depth analysis of model performance, data segments, statistical information, and distribution trends, ensuring you have a comprehensive grasp of how your models operate. This thorough methodology enhances your monitoring capabilities and equips you to sustain the reliability and precision of your machine learning solutions over time, ultimately leading to better decision-making and improved outcomes for your projects.

Media

Media

Integrations Supported

Agent Development Kit (ADK)
Amazon Bedrock
Amazon S3
Amazon SageMaker
Azure Blob Storage
Claude
CrewAI
Glama
Google Cloud Storage
Grafana Cloud
Jira
LangChain
MLflow
Microsoft Teams
Model Context Protocol (MCP)
New Relic
OpenAI
Prometheus
Sagify
Slack

Integrations Supported

Agent Development Kit (ADK)
Amazon Bedrock
Amazon S3
Amazon SageMaker
Azure Blob Storage
Claude
CrewAI
Glama
Google Cloud Storage
Grafana Cloud
Jira
LangChain
MLflow
Microsoft Teams
Model Context Protocol (MCP)
New Relic
OpenAI
Prometheus
Sagify
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

$39 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

asqav

Date Founded

2025

Company Location

Portugal

Company Website

www.asqav.com

Company Facts

Organization Name

Aporia

Company Website

www.aporia.com

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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