Frequently Asked Questions

Product Overview & Purpose

What is Sedai and what does it do?

Sedai is the first autonomous cloud management platform, designed to optimize cloud operations for cost, performance, and availability. It acts as an intelligent autopilot for Site Reliability Engineers (SREs) and engineering teams, automating routine tasks, proactively resolving issues, and enabling teams to focus on innovation rather than manual optimizations. Sedai is patented to make safe, autonomous optimizations in production without causing incidents or breaching SLOs, thanks to its gradual, validated approach. [Source]

How does Sedai differ from traditional automated cloud management tools?

Sedai is the only platform patented for safe, autonomous optimization in production. Unlike traditional tools that rely on static rules or manual adjustments, Sedai uses machine learning to make gradual, validated changes, continuously checking for safety and reversibility. This ensures optimizations never cause incidents or breach SLOs, setting Sedai apart from risky, all-at-once optimizers. [Source]

What is the primary purpose of Sedai's platform?

The primary purpose of Sedai's platform is to eliminate toil for engineers by automating cloud optimization and management. This allows teams to focus on impactful work, innovation, and delivering reliable, high-performing applications. [Source]

How does Sedai ensure safety during autonomous optimizations?

Sedai's patented technology ensures every optimization is constrained, validated, and reversible. The platform makes slow, incremental changes with continuous health verification and automatic rollbacks, guaranteeing safe operations and compliance with enterprise-grade governance. [Source]

Features & Capabilities

What are the key features of Sedai's autonomous cloud management platform?

Sedai offers autonomous optimization, proactive issue resolution, full-stack cloud coverage (compute, storage, data across AWS, Azure, GCP, Kubernetes), release intelligence, plug-and-play implementation, multiple modes of operation (Datapilot, Copilot, Autopilot), and enterprise-grade governance. [Source]

Does Sedai support proactive issue resolution?

Yes, Sedai detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 50% and ensuring seamless operations. [Source]

What cloud environments does Sedai support?

Sedai provides full-stack optimization for AWS, Azure, GCP, and Kubernetes environments, covering compute, storage, and data resources. [Source]

What is Release Intelligence and how does it work?

Release Intelligence is a feature in Sedai that tracks changes in cost, latency, and errors for each deployment. This ensures smoother releases, minimizes risks, and improves release quality. [Source]

What modes of operation does Sedai offer?

Sedai offers three modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution), allowing teams to choose the level of automation that fits their needs. [Source]

What integrations does Sedai support?

Sedai integrates with monitoring and APM tools (Cloudwatch, Prometheus, Datadog, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitLab, GitHub, Bitbucket, Terraform), ITSM tools (ServiceNow, Jira), notification tools (Slack, Microsoft Teams), and various runbook automation platforms. [Source]

How does Sedai's application-aware intelligence work?

Sedai optimizes cloud resources based on real application behavior, traffic patterns, and dependencies, ensuring that optimizations are aligned with business outcomes like cost efficiency and performance, not just infrastructure metrics. [Source]

What is Sedai for S3 and what does it do?

Sedai for S3 is a specialized solution that optimizes Amazon S3 costs by managing Intelligent-Tiering and Archive Access Tier selection, achieving up to 30% cost efficiency gain and 3X productivity gain by reducing manual effort. [Source]

Implementation & Ease of Use

How long does it take to implement Sedai?

Sedai's setup process is quick and efficient: 5 minutes for general use cases and up to 15 minutes for specific scenarios like AWS Lambda. For complex environments, timelines may vary. [Source]

How easy is it to get started with Sedai?

Sedai offers plug-and-play implementation with agentless integration via IAM, personalized onboarding sessions, detailed documentation, and a 30-day free trial. Customers can also access a community Slack channel and dedicated support. [Source]

What technical documentation is available for Sedai?

Sedai provides detailed technical documentation, case studies, datasheets, and strategic guides. These resources are available at docs.sedai.io/get-started and sedai.io/resources.

What feedback have customers given about Sedai's ease of use?

Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, personalized onboarding, and extensive support resources. The 30-day free trial and comprehensive documentation make adoption smooth and accessible. [Source]

Business Impact & Customer Proof

What business impact can customers expect from using Sedai?

Customers can expect up to 50% reduction in cloud costs, up to 75% latency reduction, up to 6X productivity gains, and up to 50% fewer failed customer interactions. Notable results include Palo Alto Networks saving $3.5 million and KnowBe4 achieving 50% cost savings. [Source]

Can you share specific customer success stories with Sedai?

Yes. KnowBe4 achieved 50% cost savings and saved $1.2 million on AWS. Palo Alto Networks saved $3.5 million and reduced Kubernetes costs by 46%. Belcorp reduced AWS Lambda latency by 77%. See more at Palo Alto Networks Case Study and KnowBe4 Case Study.

Who are some of Sedai's customers?

Sedai is trusted by leading companies such as Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. These organizations use Sedai to optimize cloud environments and improve operational efficiency. [Source]

What industries does Sedai serve?

Sedai serves industries including cybersecurity, IT, financial services, security awareness training, travel and hospitality, healthcare, car rental, retail and e-commerce, SaaS, and digital commerce. [Source]

What feedback have customers given about Sedai's impact on their teams?

Customers report significant improvements in reliability, uptime, and efficiency. For example, Tasq's Co-Founder noted Sedai's proactive configuration adjustments, and Fabric's EVP highlighted the ability to scale SRE support from 2–3 to 20 customers. [Source]

Use Cases & Target Audience

Who can benefit from using Sedai?

Sedai is designed for platform engineers, IT/cloud ops, technology leaders (CTO, CIO, VP Engineering), site reliability engineers (SREs), and FinOps professionals in organizations with significant cloud operations across industries. [Source]

Is Sedai suitable for both startups and large enterprises?

Yes. Sedai is used by serverless startups and large enterprises undergoing digital transformation, supporting a wide range of cloud environments and operational needs. [Source]

What problems does Sedai solve for engineering and operations teams?

Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and FinOps. [Source]

How does Sedai help SREs and developers?

Sedai acts as an intelligent co-pilot, continuously monitoring and managing microservices, proactively addressing issues, and enabling SREs and developers to focus on innovation rather than firefighting. [Source]

What are some common pain points Sedai addresses?

Sedai addresses pain points such as repetitive manual tasks, ticket queues, risk vs. speed trade-offs, autoscaler limits, visibility-action gaps, hybrid complexity, and slow response to cost anomalies. [Source]

Security & Compliance

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. [Source]

How does Sedai ensure compliance with enterprise governance?

Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows, ensuring all changes are safe, auditable, and reversible. [Source]

Competitive Differentiation

How does Sedai compare to other cloud optimization platforms?

Sedai is the only patented platform for safe, autonomous optimization in production. It offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack coverage, release intelligence, and rapid plug-and-play implementation. Competitors often rely on static rules, manual adjustments, or require complex onboarding. [Source]

What makes Sedai unique in the market?

Sedai's patented, safety-first approach, 100% autonomous optimization, proactive issue resolution, application-aware intelligence, and rapid, agentless onboarding make it unique. It is the only platform proven to safely optimize production environments without causing incidents. [Source]

Are there different advantages for different types of users?

Yes. Platform engineers benefit from reduced toil and IaC consistency; IT/cloud ops see lower ticket volumes and safer automation; technology leaders gain measurable ROI and lower cloud spend; FinOps teams align engineering and cost goals; SREs experience fewer alerts and more reliable operations. [Source]

Funding & Company Growth

How much funding has Sedai raised?

Sedai has raised $15 million in Series A funding, bringing its total funding to $18.8 million as of March 2022. The round was led by Norwest Venture Partners with participation from Sierra Ventures and Uncorrelated Ventures. [Source]

What are Sedai's plans for growth?

Sedai is expanding its development team, opening an Engineering Center in Kerala, India, and increasing support for all cloud platforms to broaden its ecosystem. [Source]

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Sedai Raises $15M Funding for Autonomous Cloud Management

S

Sedai

Content Writer

March 14, 2022

Sedai Raises $15M Funding for Autonomous Cloud Management

Featured

Sedai, the first autonomous cloud management company, today announced that it has raised $15 million in Series A funding led by Norwest Venture Partners with participation from Sierra Ventures and Uncorrelated Ventures. The round follows a seed led by Sierra Ventures and Uncorrelated Ventures and brings the total funding to $18.8 million. Sedai will use the funding for growth and today announced the opening of an Engineering Center in Kerala, India. The company is growing its development team to increase support for all cloud platforms and broaden its ecosystem. 

Enterprises are under immense pressure to push new features fast to remain competitive, which means companies need to scale quickly and release more often. With today's cloud infrastructures, it is no longer realistic for organizations and site reliability engineer (SRE) teams to innovate while keeping track of hundreds of microservices and multiple dependencies. 

“To effectively manage scale, companies are rethinking the “shift left” “shift right” operations and automation that are slowing them down,” said Suresh Mathew, Founder & CEO. “Sedai delivers SREs a platform that can act independently on their behalf, learn from them, and carefully measure the efficacy and continuously fix and improve right in production.”

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“We built Sedai to let every SRE and developer experience the same benefits of an autonomous system that has previously only been accessible to the large enterprise technology companies,” said Benjamin Thomas, Co-Founder, Sedai. “With Sedai, companies no longer need to be burning out their SREs and can focus on innovating more with a lot less stress.”

The Shift from Automated to Autonomous

Sedai is the first company to deliver an autonomous cloud management system into the hands of every organization. SREs can connect Sedai to their cloud in minutes, and the platform automatically discovers resources and intelligently analyzes traffic and performance metrics. Sedai then continuously manages production environments with proactive actions—without manual thresholds or human intervention. 

Sedai’s machine learning model detects symptoms early and prevents issues ahead of time. Its intelligent, context-aware system means that it can safely run in production and proactively improve the overall experience. Because Sedai acts as an intelligent co-pilot to the SRE, continuously monitoring and managing microservices, SREs can now effortlessly achieve higher levels of availability and reduce cloud costs.

“Sedai has created the tool every SRE dreams of—autonomous cloud management to proactively and safely address issues in production. The improvements that companies are seeing in reliability, uptime, and efficiency show how beneficial this technology is,” said Matt Howard, general partner at Norwest Venture Partners. “Suresh and Benji proved this approach at scale while at PayPal, and we are excited to partner with them in bringing it to the market.” “Global competitiveness by businesses of all sizes is being defined by the success of their digital strategies in this coming decade, which is driving strong growth in the $40B APM and Digital Transformation market,” said Tim Guleri, Managing Partner at Sierra Ventures. “Suresh and Benji are the dream team, coming from PayPal and building an autonomous application management company that has exploded out of the gate. With 60% of all large enterprises projected to adopt autonomous technologies by 2024, customers like Fabric have already gotten on board with Sedai to stay competitive and scale. We are excited to back this talented team and look forward to the growth ahead.”

Sedai Customers

Several businesses are already using the Sedai platform to manage their cloud environments and production applications ranging from serverless start-ups to larger enterprises going through a digital transformation and moving to modern cloud environments.

"Sedai watches over our Lambdas and proactively makes configuration adjustments depending on what we need to do—whether it’s to minimize the latency or minimize our cloud costs."Kenneth NguyenTasq, Co-Founder

"Sedai helped us scale from having only one SRE supporting 2-3 customers on our commerce platform to now we can support 20 customers." Prakash MuppiralaFabric, Executive Vice President

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