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FinOpslyAsk a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
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Lockbox LIMSA cloud-based Laboratory Information Management System (LIMS) is designed to oversee sample tracking, test outcomes, and inventory management specifically for life sciences research, industrial quality control laboratories, and biotechnology/next-generation sequencing applications. This comprehensive system provides essential regulatory compliance support for standards such as CLIA, HIPAA, Part 11, and ISO 17025, ensuring that laboratories operate within the necessary legal frameworks. The importance of quality, security, and traceability in managing samples cannot be overstated, as these factors play a pivotal role in a lab's effectiveness and reliability. Utilizing the Lockbox LIMS platform, laboratory professionals gain the ability to meticulously oversee their samples, offering complete transparency throughout the entire process, from initial accession to long-term preservation. Additionally, LIMS analysis encompasses far more than merely tracking outcomes; the Lockbox system features advanced multilayered sample storage capabilities and location management, allowing users to customize their laboratory's storage framework with diverse options that include rooms, storage units, shelves, racks, and boxes. This flexibility empowers labs to efficiently organize and access their samples, ultimately enhancing operational productivity and accuracy.
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PylonPylon offers an easy-to-use design software that enables you to generate precise proposals in under two minutes from virtually anywhere. As a unique feature, Pylon allows users to access high-resolution imagery directly within the application. The software also includes an award-winning 3D Solar Shading toolkit, which assists in identifying and monitoring shading effects throughout the seasons. With Pylon's load profile analysis and interval data analysis, your team can gain valuable insights into customer consumption trends. By examining load profiles and interval data, you can make more informed decisions. The use of interactive Web and PDF proposals, along with native eSignatures, can significantly enhance your ability to finalize solar proposals. Additionally, Pylon provides a fully integrated solar Customer Relationship Management (CRM) system that seamlessly works with its design software to streamline the proposal conversion process. The Pylon Solar CRM includes features such as two-way SMS and email communication, team and lead management, as well as ready-made deal pipelines to optimize your workflow. This comprehensive solution ensures that your team can collaborate effectively while maximizing opportunities in the solar industry.
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QuantaStorQuantaStor is an integrated Software Defined Storage solution that can easily adjust its scale to facilitate streamlined storage oversight while minimizing expenses associated with storage. The QuantaStor storage grids can be tailored to accommodate intricate workflows that extend across data centers and various locations. Featuring a built-in Federated Management System, QuantaStor enables the integration of its servers and clients, simplifying management and automation through command-line interfaces and REST APIs. The architecture of QuantaStor is structured in layers, granting solution engineers exceptional adaptability, which empowers them to craft applications that enhance performance and resilience for diverse storage tasks. Additionally, QuantaStor ensures comprehensive security measures, providing multi-layer protection for data across both cloud environments and enterprise storage implementations, ultimately fostering trust and reliability in data management. This robust approach to security is critical in today's data-driven landscape, where safeguarding information against potential threats is paramount.
What is Guild AI?
Guild AI is an open-source toolkit designed to track experiments, aimed at bringing a structured approach to machine learning workflows and enabling users to improve both the speed and quality of model development. It systematically records every detail of training sessions as unique experiments, fostering comprehensive monitoring and assessment. This capability allows users to compare and analyze various runs, which is essential for deepening their insights and progressively refining their models. Additionally, the toolkit simplifies hyperparameter tuning through sophisticated algorithms that can be executed with straightforward commands, eliminating the need for complex configurations. It also automates workflows, which accelerates development processes while reducing the likelihood of errors and producing measurable results. Guild AI is compatible with all major operating systems and integrates seamlessly with existing software engineering tools. Furthermore, it supports a variety of remote storage options, including Amazon S3, Google Cloud Storage, Azure Blob Storage, and SSH servers, making it an incredibly versatile solution for developers. This adaptability empowers users to customize their workflows according to their unique requirements, significantly boosting the toolkit’s effectiveness across various machine learning settings. Ultimately, Guild AI stands out as a comprehensive solution for enhancing productivity and precision in machine learning projects.
What is Amazon SageMaker?
Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.
Integrations Supported
AWS Deep Learning Containers
AWS IoT Core
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Model Building
Amazon SageMaker Model Deployment
Anaconda
Coral
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Version
Pricing Information
Try free for two months
Free Trial Offered?
Supported Platforms
SaaS
On-Prem
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Online Training
Company Facts
Organization Name
Guild AI
Date Founded
2018
Company Location
United States
Company Website
guild.ai/
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/sagemaker/
Categories and Features
ML Experiment Tracking
Not specified
Categories and Features
Agentic AI
Not specified
AI Development
Not specified
AI Fine-Tuning
Not specified
AI Governance
Not specified
AI Infrastructure
Not specified
AI Tools
Not specified
AI/ML Model Training
Not specified
Artificial Intelligence
Not specified
Data Catalog
Not specified
Data Governance
Not specified
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Not specified
ML Experiment Tracking
Not specified
ML Model Deployment
Not specified
ML Model Management
Not specified