Chamber is an AIOps agent for ML teams that puts AI infrastructure on autopilot by monitoring GPU clusters, detecting failures, providing root-cause analysis, and optimizing workloads across cloud environments. It aims to help ML teams work more efficiently while reducing infrastructure waste. The company is based in Seattle and is part of Y Combinator's Winter 2026 batch.
Chamber
ActiveThe AIOps Agent for ML Teams
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
Seattle, United States
Agent-ready
—
AIOps agent built for ML teams
Continuous monitoring of GPU clusters
Automated failure detection across infrastructure
Root-cause analysis of cluster and workload issues
Workload optimization across cloud environments
Reduction of infrastructure waste
Autopilot-style management of AI infrastructure
Cross-cloud workload coordination
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
Databricks
The data + AI company
AI AgentsAI Infrastructure
Figure AI
General-purpose humanoid robots
AI InfrastructureAI Robotics
Upscale AI
Pure-play AI networking infrastructure
AI Developer ToolsAI Infrastructure
Dash0
AI-native observability platform built on OpenTelemetry
AI InfrastructureAI Data Engineering
Noma Security
End-to-end security for agentic AI
AI InfrastructureAI for Cyber Defense
Ineffable Intelligence
An AI research company building a superlearner to achieve superintelligence through reinforcement learning
Foundation ModelsAI Infrastructure
- What does Chamber do for ML teams?
- Chamber is an AIOps agent that puts AI infrastructure on autopilot by monitoring GPU clusters, detecting failures, and providing root-cause analysis. It also optimizes workloads across cloud environments to keep ML infrastructure running efficiently.
- How does Chamber reduce infrastructure waste?
- Chamber optimizes workloads across cloud environments and identifies inefficiencies in GPU usage. By automating monitoring and optimization, it helps ML teams cut wasted compute and associated costs.
- Does Chamber explain failures or just alert?
- Chamber goes beyond alerting by providing root-cause analysis when failures occur. This helps ML teams understand and resolve issues faster rather than just being notified of them.
- Who is Chamber for?
- Chamber is built for ML teams managing GPU clusters and cloud-based AI workloads. It suits teams that want to reduce manual infrastructure management and waste.
Discussion
Sign in to join the discussion.
Sign inExplore more around Chamber
Contextual paths to related AI startups, deals and rankings.