# Customers

See the remarkable results that Sedai helps engineering leaders achieve. Lower cloud costs. Better application performance. World-class availability.

## Unreal Stories

Hear from engineering leaders who achieved (almost) impossible success with Sedai.

## The Only Way to Exceed Your Limits…

…is technology that changes the math of your job. That’s Sedai. Our platform helps engineering leaders reach goals that require superhuman speed & scale.

$3.5 million cloud savings. 99.999% app availability. A promotion to VP. What will you do with Sedai?

### Suresh Saved Millions of Dollars

Suresh Sangiah is Senior VP of Engineering at Palo Alto Networks, the world-leader in cybersecurity.

He’s responsible for keeping the company’s cloud online — no matter what...

### Suresh Saved Millions of Dollars

At the same time, Suresh needs to run its multi-cloud environment as efficiently as possible. Zero waste.

The problem is, reducing costs usually means sacrificing performance & availability. As a cybersecurity company, Palo Alto Networks can’t make that compromise.

“As the scale [of our infrastructure] goes up, it becomes harder and harder to balance optimal costs with performance and availability. The conventional, human-centered approach just doesn’t work.”

By partnering with Sedai, Suresh was finally able to balance cost reduction with performance & availability.

Our platform uses patented ML to learn how each application actually behaves. That lets Sedai find the ideal infrastructure settings — based on Suresh’s SLOs.

As a result, Suresh has saved Palo Alto Networks millions of dollars on cloud costs. All while making progress on his goal of world-class, 99.999% availability.

"Sedai has helped us save millions of dollars by optimizing and managing our own back-end services. But most importantly, what Sedai has done very well is allow us to respond in real time when anomalies are detected."

— Suresh Sangiah, Senior VP of Engineering

### Matt Achieved ROI in 5 Months

Matt Duren is VP of Engineering at KnowBe4, the global leader in security awareness training.

When KnowBe4 grew rapidly to support more than 70,000 customers, Matt had to manage a massive surge in its cloud usage...

### Matt Got Promoted to VP

...On AWS Lambda alone, KnowBe4's usage skyrocketed by 422%, with 250 million invocations every day.

The scale was simply too great to optimize everything, using a conventional approach. Matt needed a new way to keep cloud costs under control.

“We try to build software that will scale to any number of users. But until we started using Sedai, we really had no solution for actually scaling the people side of things — the team."

So Matt deployed Sedai to optimize the cloud at KnowBe4. It wasn’t long before he saw remarkable results.

Sedai made 1.1K optimizations in the first 3 months, and delivered a positive ROI in just 5 months.

Meanwhile, the platform dramatically reduced latency, with some Lambda functions speeding up by over 90%. As a result of his success, Matt was promoted twice, ultimately becoming VP of Engineering.

"Sedai is a game-changing tool, both for our cloud strategy and for me personally. Sedai helped me become a key strategic leader at KnowBe4, and it freed up our team to focus on more valuable projects."

— Matt Duren, VP of Engineering

### Paul Eliminated 1K Hours of Toil

Paul Thomas is VP of Engineering at HP, a company that needs no introduction.

Today, HP’s developers are distributed across dozens of product divisions. Its cloud is beyond complicated...

### 1K Hours of SRE time reclaimed

For Paul, the key challenge was to understand the impact of new releases, from every division, on AWS & Azure.

But doing that in real time is impossible — at least for engineering teams alone. The scale is simply too big for reports and alerts to handle. 

“Our spend is over $100 million with AWS, a year. And we have in excess of 40 different divisions building software. It becomes very critical to have eyes on everything. That’s the role of AI.”

With Sedai, Paul finally has a single command center to operate HP’s cloud.

Sedai’s Release Intelligence feature uses ML to analyze how each new release impacts costs & app performance.

But importantly, our platform goes beyond dashboards. Sedai takes action. It has already saved over 1K hours of toil for HP’s team — by optimizing workloads in real time.

Looking to the future, Sedai has identified more than $1.5 million in savings opportunities at HP, which the platform is ready to perform on Autopilot.

— Paul Thomas, VP of Engineering

### Rob Freed Up His Small Team

Rob Berger is Chief Architect at Informed, an AI-powered loan verification platform.

As a startup, Informed has a lean engineering team, but it still needs to optimize costs for its complex cloud. That's not easy...

### Lambda Optimized, On Autopilot

Rob rebuilt the company's infrastructure from the ground up on AWS Lambda. Each environment runs 306 Lambda functions, many dedicated to running ML inference models.

For a lean engineering team, managing complex infrastructure at that scale is no small feat.

"In the past, there were no tools to optimize Lambdas for cost & performance without a lot of manual work," Rob said.

The ongoing manual toil of checking configurations, monitoring costs, & tuning functions quickly consumed engineering capacity.

But now with Sedai, Rob simply "doesn't have to worry about optimizing Lambda." 

Our platform finds opportunities to safely reduce Informed's AWS costs — without impacting the performance of its applications. In fact, Sedai has dramatically reduced latency across all Lambda workloads, while saving the company money.

Most importantly, Sedai goes beyond recommendations and alerts. Our platform takes action — performing optimizations on Autopilot.

"My engineers want to learn and build new things, not worry about delivering new features or spending time on optimizations. Sedai handles that with autonomy, so my team can just build."

— Robert Berger, Chief Architect

## Start Your Sedai 
Success Story
