Learn More

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 3 Ratings

Description

With Amazon SageMaker Pipelines, you can effortlessly develop machine learning workflows using a user-friendly Python SDK, while also managing and visualizing your workflows in Amazon SageMaker Studio. By reusing and storing the steps you create within SageMaker Pipelines, you can enhance efficiency and accelerate scaling. Furthermore, built-in templates allow for rapid initiation, enabling you to build, test, register, and deploy models swiftly, thereby facilitating a CI/CD approach in your machine learning setup. Many users manage numerous workflows, often with various versions of the same model. The SageMaker Pipelines model registry provides a centralized repository to monitor these versions, simplifying the selection of the ideal model for deployment according to your organizational needs. Additionally, SageMaker Studio offers features to explore and discover models, and you can also access them via the SageMaker Python SDK, ensuring versatility in model management. This integration fosters a streamlined process for iterating on models and experimenting with new techniques, ultimately driving innovation in your machine learning projects.

Description

Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned. FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills. Capabilities include: Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured. Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed. Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly. Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served. For technology and finance leaders accountable for what AI spend returns.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Amazon SageMaker
Databricks
Jira
Microsoft Azure
ServiceNow
Snowflake

Integrations

Amazon Web Services (AWS)
Amazon SageMaker
Databricks
Jira
Microsoft Azure
ServiceNow
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$1000/month
FinOpsly pricing starts at $1,000/month and is aligned to the value delivered—based on cloud spend, scope, and automation depth. Customers typically offset the full platform cost within 6–9 weeks through tangible savings, automated optimizations, and faster financial operations.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/sagemaker/pipelines/

Vendor Details

Company Name

FinOpsly

Founded

2024

Country

United States

Website

finopsly.com

Product Features

Continuous Delivery

Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Machine Learning

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

Product Features

Cloud Cost Management

FinOpsly empowers businesses to effectively manage their cloud and data expenditures through a proactive, business-focused approach. Tailored for companies utilizing AWS, Azure, and GCP, along with data solutions like Snowflake and Databricks, FinOpsly links costs related to infrastructure and analytics with critical business elements such as products, teams, and services. This integration allows decision-makers to gain insights not only into their spending but also the rationale behind it across various cloud and data operations. Rather than relying on traditional dashboards and alerts, FinOpsly employs transparent AI agents that forecast expenses, identify cost drivers with clear explanations, and implement policy-driven actions to optimize resource usage responsibly. These agents function within established parameters, ensuring that automation remains aligned with performance, reliability, and organizational objectives. With FinOpsly, businesses can accurately allocate cloud and data costs, quickly identify inefficiencies and spending anomalies, enforce financial guidelines, and avert budget overruns before they become a significant issue.

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

FinOps

FinOpsly is an innovative FinOps platform designed to take proactive actions in managing finances related to cloud services, data, and AI. Its primary goal is to align spending with business value while ensuring secure automation of controls. The platform integrates costs from various services including AWS, Azure, GCP, Snowflake, and Databricks, linking them to products, teams, services, and customers. This integration empowers organizations to gain insights not only into their expenditure but also into which investments yield results, affect unit economics, and enhance overall business performance. With the help of transparent AI agents, FinOpsly consistently evaluates cost factors, delivering logical explanations for all recommendations and implementing actions that adhere to established policies for spending optimization. The automation process functions within predetermined financial and operational parameters, guaranteeing that adjustments are safe, verifiable, and consistent with both performance and business risk considerations. By merging cost mapping that is aware of business impacts with clear, regulated automation, FinOpsly elevates FinOps beyond mere reporting, transforming it into a reliable, ongoing practice that drives tangible value.

IT Financial Management

FinOpsly empowers organizations to effectively oversee their expenditures related to cloud services, data, and artificial intelligence as an integral part of their IT financial management strategy. As companies expand their operations across platforms such as AWS, Azure, GCP, and data solutions like Snowflake and Databricks, pinpointing, predicting, and justifying technology expenses becomes increasingly complex. FinOpsly integrates cost data, usage metrics, and business context into a cohesive operational framework, allowing finance and IT executives to gain a clear understanding of actual spending across different products, teams, and services. Leveraging explainable, autonomous AI, FinOpsly equips teams to anticipate costs proactively, maintain continuous oversight of financial performance, and implement policy-driven measures when expenses exceed expectations. The AI agents function within clearly defined parameters, ensuring that automation remains aligned with budget constraints, performance goals, and overall business objectives. With FinOpsly, organizations achieve precise cost allocation, efficient chargeback and showback processes, and accelerated financial cycles, transforming IT financial management into a proactive and disciplined practice.

SaaS Spend Management

FinOpsly empowers enterprises to effectively oversee their SaaS expenditures by integrating it into a comprehensive framework that encompasses cloud, data, and AI financial models. This approach transcends mere license management, providing organizations with genuine financial oversight. For data platforms such as Snowflake and Databricks, which operate on a usage-based pricing model, FinOpsly seamlessly links consumption metrics, costs, and business insights to identify the specific products, teams, and workloads contributing to expenses. This facilitates precise total cost of ownership (TCO) evaluations and equitable chargeback or showback processes. Harnessing the capabilities of explainable, proactive AI, FinOpsly scrutinizes SaaS usage trends, articulates the underlying cost factors in business language, and implements actions governed by established policies to optimize expenditures effectively and safely. The automation functions within predetermined boundaries, ensuring control while maintaining performance and data workflows. By viewing SaaS spending as an integral element of TCO and financial responsibility, FinOpsly assists organizations in avoiding budget overruns and aligning their SaaS investments with overall business objectives.

Alternatives

Alternatives

Amazon SageMaker Ground Truth Reviews

Amazon SageMaker Ground Truth

Amazon Web Services
Flexera One Reviews

Flexera One

Flexera
Unravel Reviews

Unravel

Unravel Data