What is Sedai and what problem does it solve?

Sedai is an autonomous cloud optimization platform designed to eliminate engineering toil by safely and efficiently optimizing cloud resources in production. It addresses challenges such as manual right-sizing, cost inefficiencies, operational toil, and performance issues by automating optimization actions without causing incidents or breaching SLOs. Sedai's patented approach ensures gradual, validated changes, resulting in up to 50% cost savings, 75% latency reduction, and 6X productivity gains. Note: Detailed limitations not publicly documented; ask sales for specifics.

Who founded Sedai and what is the company's origin story?

Sedai was founded by Suresh Mathew (CEO) and Benji Thomas (CTO), who previously built the first autonomous system to optimize cloud resources at PayPal. Their system was the only one trusted to make production changes during peak hours. Inspired by this success, they started Sedai to eliminate toil for engineers and cloud architects globally. Today, Sedai has over 100 team members serving Fortune 500 companies, startups, and government agencies. Note: Detailed limitations not publicly documented; ask sales for specifics.

Who are the key leaders and board members at Sedai?

Sedai's leadership team includes Suresh Mathew (Founder & CEO), Benji Thomas (Co-founder & CTO), Vaneet Bhaskar (CRO), Oksana Patel (VP of Marketing), Hari Chandrasekhar (SVP of Engineering, Core), Ethan Andyshak (VP of Product), Nikhil Kurup (SVP of Engineering, ML Platforms), Shankar Jothi (VP of Engineering, AI/ML), and Aby Jacob (VP of Engineering). The board of directors features Matthew Howard (Norwest Venture Partners), Tim Guleri (Sierra Ventures), Manish Agarwal (AVP), and Salil Deshpande (Uncorrelated Ventures). Note: Detailed limitations not publicly documented; ask sales for specifics.

What are the core features and capabilities of Sedai?

Sedai offers autonomous optimization of cloud resources, application-aware intelligence, proactive issue resolution, full-stack cloud coverage (across AWS, Azure, GCP, Kubernetes), safety-by-design (continuous health verification, automatic rollbacks, incremental changes), release intelligence, and plug-and-play implementation. Sedai supports agentless and agent-based SaaS deployment, integrates with major monitoring, CI/CD, and ITSM tools, and delivers up to 50% cost savings, 75% latency reduction, and 6X productivity gains. Note: Best fit for teams seeking autonomous, production-safe optimization; teams needing manual control over every change may want to consider alternatives.

How does Sedai ensure safety and reliability in production environments?

Sedai is patented to make safe, autonomous optimizations in production without causing incidents or breaching SLOs. It achieves this through continuous health verification, automatic rollbacks, and incremental, validated changes. As of the latest data, Sedai has caused zero incidents in production across $3 billion in managed cloud spend and 25 million optimization actions. Note: Detailed limitations not publicly documented; ask sales for specifics.

What integrations does Sedai support?

Sedai integrates with Prometheus, Datadog, Cloudwatch, Azure Monitor (monitoring/APM); Kubernetes autoscalers (HPA/VPA, Karpenter); CI/CD tools (GitHub, GitLab, Bitbucket, Terraform); ITSM (ServiceNow, PagerDuty, Jira); notification tools; runbook automation platforms; and serverless platforms (AWS Lambda, AWS Fargate). Note: Some integrations may require additional setup time depending on environment complexity.

What technical documentation is available for Sedai?

Sedai provides a Getting Started Guide, a Kubernetes Optimization Guide, and a Platform Overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. Note: Some advanced topics may require direct support from Sedai's technical team.

How long does it take to implement Sedai and how easy is it to start?

Initial onboarding for Sedai takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics. Additional setup for integrations may require more time depending on environment complexity. Sedai offers a plug-and-play process, operates autonomously, and provides a free Proof of Value. Note: Complex environments may require additional configuration time.

What is Sedai's pricing model?

Sedai uses a volume-based pricing model, charging based on the resources optimized (e.g., Kubernetes pods, ECS tasks, VMs). Pricing is transparent, adapts to usage, and includes a free tier and a 30-day free trial. For Kubernetes environments, a demo is recommended to determine the best pricing structure. See sedai.io/pricing for details. Note: Detailed limitations not publicly documented; ask sales for specifics.

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. More details are available at sedai.io/security. Note: For additional certifications or compliance needs, contact Sedai directly.

What measurable results and business impact can customers expect from Sedai?

Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, 6X productivity gains, and a financial payback in under six months with ROI greater than 400%. For example, KnowBe4 saved $1.2 million on AWS costs, and Palo Alto Networks saved $3.5 million. Sedai has managed $3 billion in cloud spend and performed 25 million optimization actions with zero production incidents. Note: Results may vary based on environment and usage; detailed limitations not publicly documented.

Who can benefit from using Sedai?

Sedai is designed for IT/cloud operations, FinOps, technology leadership, platform engineering, and site reliability engineering (SRE) roles. It serves organizations in cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Teams with highly specialized, non-cloud-native environments may require additional evaluation.

What are some real-world customer success stories with Sedai?

KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS, Palo Alto Networks saved $3.5 million, Belcorp reduced AWS Lambda latency by 77%, Campspot reduced Lambda latency by 34%, Inflection improved platform performance, and Freshworks optimized Lambda latency. See sedai.io/customers for more details. Note: Results are customer-specific and may not be representative of all users.

What common pain points does Sedai address for engineering and operations teams?

Sedai addresses pain points such as manual optimization toil, cloud spend pressure, risk and compliance concerns, tool sprawl, talent bandwidth constraints, release risk, SLO drift, alert fatigue, brittle automation, change control friction, and the gap between monitoring and action. Note: Some organizations may have unique challenges not fully addressed by Sedai's current feature set.

How does Sedai differ from other cloud optimization tools?

Sedai is patented for safe, autonomous optimization in production, with zero incidents reported. Unlike competitors that rely on dashboards or manual recommendations, Sedai executes real-time, validated changes. It offers application-aware intelligence, full-stack coverage, proactive issue resolution, and release intelligence. Note: Teams requiring manual approval for every change may prefer traditional tools; Sedai is best for those seeking autonomous, production-safe optimization. Detailed competitor feature gaps not publicly documented; ask sales for specifics.

We Built Sedai Because Toil Sucks.

No one becomes an engineer to right-size containers all day. That’s why we created the world’s first self-driving cloud: To free millions of engineers from endless toil.

What customers say

"As an engineer, I have done umpteen optimizations. Not one of them was exciting to me. That’s why we built Sedai. It’s safe. It’s efficient. It’s autonomous. And it just works.”

Suresh Mathew

Founder & CEO

Sedai by the Numbers

We're making the cloud cheaper, faster, & safer. One action at a time.

$3 Billion

Total cloud spend managed for our enterprise customers

25 Million

Optimization actions made by Sedai — and counting

Incidents caused by our platform in production

Our Story

Sedai is the pioneer of autonomous cloud optimization. We kill toil — so your team can focus on bringing new products to life.

Our story begins when Suresh Mathew & Benji Thomas built the first autonomous system to optimize cloud resources, while working together at PayPal. The company managed the world’s largest OpenStack cloud, and it processed millions of transactions per day.

Ultimately, the autonomous system that Suresh & Benji developed was so successful, it was the only system PayPal trusted to make changes to prod, during peak hours. They realized that autonomous CloudOps was the future.

Suresh & Benji then founded Sedai — with the goal of eliminating toil for millions of engineers & cloud architects around the world. Today, we are a team of more than 100 builders, who are making that mission a reality for our customers, from Fortune 500 companies to fast-growing startups to government agencies.

But we’re just getting started. Because every organization deserves a self-driving cloud.