DoiT's New AI Platform Aims to Automate Cloud Savings for Dynamic Era

SANTA CLARA, CA – May 21, 2026 – Cloud intelligence company DoiT today announced the launch of PerfectScale for Commitments, an autonomous platform designed to revolutionize how companies manage their cloud spending. The new product promises to continuously optimize cloud commitments on AWS and Google Cloud, with Microsoft Azure support forthcoming, tackling a problem that has plagued finance and engineering teams in the age of dynamic, auto-scaling infrastructure.

The Breaking Point for Manual Cloud Cost Control

Cloud providers like AWS, Google Cloud, and Azure have long offered significant discounts—up to 72% off on-demand prices—for customers who commit to a certain level of usage over one or three years. These commitments, known as Savings Plans or Committed Use Discounts, have been a cornerstone of FinOps (Financial Operations) strategy. However, they were designed for a world of relatively stable and predictable infrastructure.

That world is rapidly disappearing. The rise of modern cloud-native architectures built on Kubernetes, serverless functions, and aggressive autoscaling has created environments that are anything but stable. Infrastructure now expands and contracts by the minute in response to user demand, making manual, forecast-based commitment planning an exercise in futility and high risk.

Organizations have found themselves caught in a difficult bind. Under-committing means leaving significant savings on the table and paying premium on-demand prices. Over-committing, a common outcome when a project's needs change or an autoscaling workload dips unexpectedly, results in paying for cloud capacity that goes completely unused. According to industry reports from the FinOps Foundation, optimizing these commitments is a top challenge, with many teams still relying on cumbersome spreadsheets and static analysis that are quickly overwhelmed by the sheer velocity and complexity of their cloud environments. This manual toil is not only inefficient but also introduces a critical lag between engineering action and financial insight, often leading to budget overruns that are only discovered long after the money has been spent.

Beyond Static Analysis: How PerfectScale for Commitments Works

DoiT's PerfectScale for Commitments enters this challenging landscape with a fundamentally different approach. Where most solutions rely on analyzing historical billing data to make recommendations, DoiT's platform applies what it calls "workload-aware intelligence and continuous behavioral analysis."

Built on the same AI-powered optimization engine that drives its PerfectScale for Kubernetes product, the new tool continuously ingests and analyzes granular, hourly usage data directly from a customer's cloud environment. Instead of a static snapshot, it builds a dynamic understanding of how workloads behave, adapting its strategy as the environment evolves.

The platform operates on a continuous, self-correcting loop built on three core capabilities:

• AI-Powered Recommendation Engine: This engine moves beyond simple historical averages to calculate optimal commitment levels based on real-time usage patterns, scheduling purchases to maximize savings.

• Commitment Laddering: To mitigate the risk of large, long-term commitments, the platform staggers smaller purchases over time across overlapping plans and durations. This "laddering" strategy reduces exposure to overcommitment and smooths out the financial shock of large renewals, allowing the system to validate each small commitment against fresh usage data before making the next one.

• Controlled Automation with Guardrails: Recognizing that handing over the keys to cloud purchasing requires immense trust, the platform offers both fully autonomous execution and approval-based workflows. Finance and engineering teams can set risk thresholds and guardrails, ensuring they remain in control of every financial decision, whether it's executed by a human or the platform's AI.

This combination allows the system to intelligently purchase commitments for the stable, baseline portion of a company's usage while leaving dynamic peaks to be handled by on-demand or spot instances, creating a more sophisticated and cost-effective portfolio.

A New Playbook for FinOps in a Competitive Market

The launch positions DoiT to compete more directly with established players in the cloud financial management space, such as CloudHealth by VMware, Apptio Cloudability, and Spot by NetApp, as well as more specialized automation tools like ProsperOps. While the market is crowded, DoiT is betting that its focus on autonomous optimization for truly dynamic workloads will be a key differentiator.

Many existing platforms excel at providing visibility and recommendations but still require significant human intervention to analyze, approve, and execute commitment purchases. DoiT's approach aims to automate this entire workflow, freeing up valuable FinOps and engineering resources to focus on strategic initiatives rather than reactive cost management.

Further shaking up the market is the product's performance-based pricing model. Customers pay only when the platform delivers realized savings, with no upfront fees or long-term contracts. This model effectively eliminates the risk of adoption and directly aligns DoiT's success with that of its customers, a compelling proposition for budget-conscious organizations. For FinOps leaders, this shifts the conversation from justifying a software purchase to proving a clear return on investment through demonstrable savings tracked within the platform.

Building the Autonomous Cloud Operation

The release of PerfectScale for Commitments is not an isolated event but a strategic move in DoiT's broader ambition to build a comprehensive, self-optimizing cloud intelligence platform. The company, which already manages over $20 billion in cloud spend for 4,500 customers, is weaving together a suite of tools designed to automate optimization across the entire cloud stack.

This new product is a natural extension of PerfectScale for Kubernetes, which focuses on rightsizing containerized workloads. It also complements the recently added PerfectScale for Data Platforms, born from the acquisition of SELECT, which tackles cost efficiency within data warehouses like Snowflake.

"It was always our vision for PerfectScale to extend beyond Kubernetes and become a broader continuous optimization platform for modern cloud infrastructure," said Amir Banet, General Manager of PerfectScale at DoiT, in the announcement. "The acquisition of SELECT accelerated our expansion into data platform optimization, and now PerfectScale for Commitments extends that same optimization intelligence into cloud commitment management. Together, these capabilities give customers one of the industry's broadest optimization coverage models across infrastructure, data platforms and cloud financial operations."

This integrated strategy suggests a future where cloud environments are not just monitored but are actively and autonomously managed by intelligent systems. By connecting infrastructure spend (via commitments), application resource usage (via Kubernetes optimization), and data platform costs, DoiT is aiming to provide a single, intelligent engine that keeps a company's entire cloud estate continuously optimized for both cost and performance, marking a significant step towards the long-promised vision of a truly autonomous cloud.