Low-Code Cloud Performance Analysis

Our revolutionary new low-code platform dramatically simplifies and accelerates the workload analysis process with proprietary AI algorithms that achieve near-instant results. Sign up for our Alpha release today.

AIOBench is proud to support AWS on our Beta release

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Intel InnovatiON featuring AIOBench
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We’re thrilled our venture was chosen to present at Intel’s recent developers conference. Recorded live from Fort Mason in San Francisco, our interactive tech demo gave developers from around the world a sneak peek into our platform and the chance to ask questions.

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AIOBench Featured at Intel Innovation

We’re thrilled our venture was chosen to present at Intel’s recent developers conference. Recorded live from Fort Mason in San Francisco, our interactive tech demo gave developers from around the world a sneak peek into our platform and the chance to ask questions.

Two Solutions, One Radical New Approach

Turning the traditional process of cloud workload analysis on its head, our data-driven results are derived in a matter of seconds and minutes, instead of weeks and months, giving you the insights you need to go beyond default configurations and time-consuming trial and error.

Instant Cloud Performance Estimation

Get instantaneous results with our AI-driven workload performance estimation algorithms and rapidly expanding list of supported applications.

Low-Code Cloud Workloadanalysis

Build custom cloud application topologies with drag-and-drop components, launch them in the cloud with the click of a button, and get results within minutes.

Applications

Our Alpha release supports the most common three-tier web applications, including:

Insights

Get actionable insights and cloud performance recommendations, including:

Dashboard

Our interactive Visual Cloud Canvas gives you the answers you need in minutes.

Get results 50x fasterthan with manual analysis

Simplifying Cloud Complexity

Featuring drag-and-drop workload components, interactive sliders, and informative data visualizations, our automated low-code platform has been developed to reduce the complexity of cloud service options.

01

Save
Time

Cut months of development time with instant estimations and rapid topology development.

02

Enhance
Productivity

Run multiple configurations of your cloud application and user workload in minutes.

03

Streamline
Workflows

Automate your what-if analysis processes with a single easy-to-use platform.

04

Reduce
TCO

Get  quick and easy visibility into your cloud costs with workload-specific analytics.

30% of the average cloud budget is spent on performance analysisHow much are you spending?

Get the Insights You Need Before Going Live

We make estimating cloud performance easy with instant scenario modeling and real-world simulations derived from AI algorithms. Developed with deep architectural expertise, these algorithms produce workload-specific performance estimations that are so reliable, they eliminate the need for time-consuming performance observation.

View Our Platform Demos

Instant Cloud Performance Estimation Demo
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Low-Code Cloud Workload Analysis Demo
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Delivering Value Across The DevOps Lifecycle and Beyond

Seamlessly integrated into the DevOps workflow, our platform empowers everyone from performance engineers and cloud architects to program managers to reach their application architecture, deployment, and performance goals.

Development

Enable continuous integration and development with our Beta release.

Deployment

Launch with confidence with fast and accurate performance analysis.

Operations

Drive standardization and consistency by automating workload analysis processes.

Business

Get to market faster and maximize performance for better customer experiences.

Our Story

Founded by passionate group of Intel engineers with expertise in cloud development, performance analysis and optimization, data center storage technologies, and AI/ML algorithmic development, AIOBench is on a mission to transform cloud application performance analysis through the power of AI. Graduates of the 2021 Intel Incubation Program, our team is currently busy developing our Beta release with the goal of launching our MVP in early 2022.

AIOBench Team - Nilesh Shah

Nilesh Shah

Venture Lead
co-founder

Kalapi Biswas

Product Manager
co-founder

Soon Ee Ong

Prediction Architect
co-founder

Chee Hoo Kok

Cloud SW Engineer
AIOBench Team - Rashmin H. Patel

Rashmin N. Patel

Cloud SW Engineer
co-founder

Sje Yin Teo

Cloud SW Engineer

Recent Updates

  • The cloud computing industry is moving ahead at a rapid pace. Especially in the public cloud space, where the market is flooded with a wide variety of

  • Setting up a common functional microservice may be straightforward, but selecting the optimal performance-cost cloud SKU for deployment can be tricky.