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Average Ratings 0 Ratings
Description
Koritsu is a cloud cost optimization solution that merges FinOps knowledge with artificial intelligence to assist organizations in minimizing excessive cloud expenditures across major providers like AWS, Azure, and Google Cloud. This platform aims to provide businesses with comprehensive insights into their infrastructure expenses, pinpointing inefficiencies such as overprovisioned resources, inactive services, and improperly configured setups that can result in substantial financial losses. By examining cloud usage trends, it offers practical recommendations via automated insights, enabling teams to refine their environments while maintaining application performance and security. The platform functions through a systematic optimization cycle, wherein AI agents collaborate with cloud specialists to assess costs, identify significant savings opportunities, and execute quick wins that yield tangible results in a relatively brief period. Ultimately, Koritsu empowers organizations to achieve cost-effective cloud management and drive operational efficiency.
Description
Parsivex serves as a platform designed for engineering teams to optimize AWS costs and identify waste associated with their cloud expenditures.
Much of the waste in AWS arises from everyday oversights, such as RDS instances left running, unattached EBS volumes, NAT Gateways that are no longer useful, and EC2 instances that were provisioned for a load test long ago. While Cost Explorer can indicate an increase in costs, it fails to provide actionable insights about what can be removed.
Connecting through a read-only IAM role, Parsivex operates without the need for agents or write permissions, thoroughly scanning for specific instances of waste: idle EC2 instances, unused RDS and load balancers, orphaned snapshots and Elastic IPs, over-provisioned computing resources, and untagged items. Each identified issue comes with detailed information, including the resource ID, its region, the potential monthly savings, and the rationale for its selection, enabling engineers to validate findings and take action without necessitating further investigation.
Additionally, scans are conducted on a predetermined schedule and can flag cost anomalies while expenses are still manageable, all from a unified dashboard that supports multi-region management.
There are no sales calls required; simply initiate a free scan and receive your initial report within minutes, allowing for immediate insight into potential savings.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
No
Microsoft Azure
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$39/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Koritsu AI
Founded
2025
Country
United Kindgom
Website
koritsu.ai/
Vendor Details
Company Name
Parsivex ApS
Founded
2026
Country
Denmark
Website
www.parsivex.com
Product Features
Cloud Cost Management
Cost Reduction Optimization
No
Dashboard
No
Data Import/Export
No
Data Storage
No
Data Visualization
No
Resource Usage Reporting
No
Roles / Permissions
No
Spend and Cost Reporting
No
Product Features
Cloud Cost Management
Cost Reduction Optimization
No
Dashboard
No
Data Import/Export
No
Data Storage
No
Data Visualization
No
Resource Usage Reporting
No
Roles / Permissions
No
Spend and Cost Reporting
No