List of Sedai Autonomous Cloud Platform Customers
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Since 2010, our global team of researchers has been studying Sedai Autonomous Cloud Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Sedai Autonomous Cloud Platform for Application Performance Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Sedai Autonomous Cloud Platform for Application Performance Management include: Palo Alto Networks, a United States based Professional Services organisation with 15289 employees and revenues of $8.03 billion, KnowBe4, a United States based Professional Services organisation with 2200 employees and revenues of $480.0 million, Fabric, a United States based Professional Services organisation with 500 employees and revenues of $80.0 million and many others.
Contact us if you need a completed and verified list of companies using Sedai Autonomous Cloud Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Sedai Autonomous Cloud Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Fabric | Professional Services | 500 | $80M | United States | Sedai | Sedai Autonomous Cloud Platform | Application Performance Management | 2022 | n/a |
In 2022, Fabric deployed the Sedai Autonomous Cloud Platform for Application Performance Management to autonomously optimize its AWS Lambda based serverless services supporting a headless commerce platform. The project focused on SRE and application performance operations across North America and targeted runtime responsiveness for commerce APIs and backend functions.
The Sedai Autonomous Cloud Platform was configured to perform closed loop autonomous optimization, ingest function level telemetry, and execute policy driven tuning workflows. Implementation emphasis included autonomous function rightsizing and provisioned concurrency tuning inferred from the deployment details, aligning platform automation with standard serverless performance management capabilities.
Integration was direct with Fabric's AWS Lambda based serverless estate, instrumenting function invocation metrics and control plane parameters to enable runtime adjustments. The architecture centralized application performance telemetry and control within the Sedai Autonomous Cloud Platform while preserving SRE visibility into optimization actions and exception handling.
Operationally the deployment shifted SRE work from manual tuning to policy oversight and exception management, concentrating governance on automated policies and observability. The deployment produced a 48% latency reduction and a 33% reduction in SRE workload.
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KnowBe4 | Professional Services | 2200 | $480M | United States | Sedai | Sedai Autonomous Cloud Platform | Application Performance Management | 2024 | n/a |
In 2024, KnowBe4 implemented Sedai Autonomous Cloud Platform. The deployment used the Sedai Autonomous Cloud Platform for Application Performance Management to drive cloud cost optimization and improve operational productivity across KnowBe4's North America AWS footprint.
The implementation concentrated on autonomous optimization of AWS ECS and Lambda workloads, leveraging platform capabilities to detect inefficiencies and execute corrective actions. Functional capabilities in scope included automated rightsizing, workload scaling adjustments, and policy driven actioning to reduce waste and stabilize performance. The Sedai Autonomous Cloud Platform executed over 1,100 autonomous actions in the first 90 days of operation.
Integration work targeted AWS ECS and AWS Lambda, with the Sedai Autonomous Cloud Platform operating directly against KnowBe4 cloud workloads to adjust compute allocation and runtime configuration. The rollout followed a phased approach across North America, sequencing pilot clusters and serverless functions into broader production governance. The phased rollout delivered about 27% overall cloud cost savings and an approximately five month payback period.
Governance was established through a phased operational oversight model led by cloud engineering and DevOps stakeholders, who monitored autonomous actions and tuned policy thresholds during the initial 90 days. The deployment positioned Sedai Autonomous Cloud Platform as the central Application Performance Management capability for ongoing cloud cost optimization and ops productivity at KnowBe4.
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Palo Alto Networks | Professional Services | 15289 | $8.0B | United States | Sedai | Sedai Autonomous Cloud Platform | Application Performance Management | 2024 | n/a |
In 2024, Palo Alto Networks implemented Sedai Autonomous Cloud Platform to manage and autonomously optimize its complex multi-cloud environment that supports high-availability security services. Sedai Autonomous Cloud Platform is being used as an Application Performance Management solution for cloud operations and SRE teams in the United States.
The deployment emphasized autonomous optimization and autopilot operations, with Sedai configured to monitor service health, drive automated remediation, and perform cost optimization across public cloud accounts. Functional capabilities implemented included autonomous anomaly detection, policy-driven remediation workflows, and automated rightsizing and spend controls aligned to Application Performance Management practices.
Operational coverage was scoped to cloud operations and site reliability engineering, centralizing observability and control across the multi-cloud estate while reducing manual intervention. The implementation relied on continuous telemetry ingestion and cloud provider metrics to inform automated control plane actions and maintain availability for security services.
Governance shifted toward event-driven oversight with SREs focused on exception handling and policy authoring as Sedai executed routine optimization in autonomous autopilot mode. The engagement produced reported large-scale cost savings of $3.5M and helped the team improve availability and reduce manual toil while enabling Sedai to operate in autonomous mode.
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Buyer Intent: Companies Evaluating Sedai Autonomous Cloud Platform
- Modern Aviation, a United States based Transportation organization with 210 Employees
- Verse Design LA, a United States based Professional Services company with 20 Employees
- Cota Capital, a United States based Professional Services organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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