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Chamber

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The AIOps Agent for ML Teams

Winter 2026Founded 20264 peopleSeattle, WA, USA
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AI insightcan contain mistakes
ML Infrastructure AutomationSaaSML engineering teams managing AI workloads across cloudsMedium competition
Moat
Autonomous detection, root-cause analysis, and resolution of ML infrastructure failures; GPU optimization and cost reduction.
Key risk
Niche ML ops audience; cloud providers (AWS, GCP, Azure) bundling AIOps; low switching costs.
Why now
ML workload scaling; infrastructure complexity rising; GPU shortages driving cost optimization demand.
Competitors
AWS, GCP, Azure, DataRobot, emerging ML ops tools
↻ Pivot / rename signal

This company has previously operated under Astraio. A rename frequently marks a pivot in positioning or product — useful raw material for variant ideas.

About

Chamber puts your AI infrastructure on autopilot, and saves your machine learning engineers hours of manual effort. Our agents continually monitor, detects failures, provide root-cause analysis, resolve issues, and optimize AI workloads and scale across clouds. It operates like an autonomous infrastructure team, helping save your research and engineers hours each day, and debugging workload performance issues. Your ML teams move faster, infra waste drops, and GPU bottlenecks disappear.

Founders · 4

Charles Ding
Charles DingFounder & CEO
MetaAmazonMicrosoft

Second Time Founder with 1X Exit | Former Engineering Leader at Meta & Amazon | Ex-Microsoft. We are building to accelerate the world’s AI innovation through agents.

Andreas Bloomquist
Andreas BloomquistFounder
Amazon

Shipped observability and infrastructure products at scale across AWS and Amazon. At AWS, I launched CloudWatch Application Signals, the native APM solution for AWS. At Amazon, I led the launch of the central GPU orchestration service, centralizing access and maximizing utilization across Amazon's science and AI/ML teams.

Jason Ong
Jason OngFounder
Amazon

I’m a software engineer from Malaysia who moved to the U.S. in 2016. I’ve built high-impact systems at Amount, Avant, Flexport, and Amazon. I’ve worked across fintech, logistics, and GPU-related scheduling tooling, where I saw how hard distributed training is for many teams. I’m now co-founder of Chamber, focused on simplifying GPU orchestration for training workloads.

Shaocheng Wang
Shaocheng WangFounder
Amazon

I am a cofounder of Chamber and a former Senior Software Engineer at Amazon. Over the past 9+ years, I’ve built and launched multiple 0→1 AWS products, with deep expertise in large-scale observability, distributed systems, and AI infrastructure efficiency. At Chamber, I’m applying this experience to build intelligent AI workload orchestration and observability software that helps companies run AI workloads much more efficiently.

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