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Cloudchipr

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Cloudchipr

Workflow Automation for Cloud Operations

cloudchipr.com
HQ: Berlin, Berlin, Germany; Hamburg, HH, Germany; Yerevan, Yerevan, Armenia; Remote
1-10
B2B

Company research

Public company, workplace, funding, and market signals

Updated Jul 29, 2026

Overview

Cloudchipr is a YC W23 FinOps platform that unifies cloud and AI spend visibility, allocation, anomaly detection, and automated remediation across AWS, GCP, Azure, and Kubernetes. It sells via tiered SaaS/free-trial and demo flows, serves engineering/finance/leadership teams, and appears to run a distributed, remote-friendly team. I did not verify a public X account or a standalone careers page.

Primary product

AI-powered FinOps and cloud cost management platform

Founded

2022

Headquarters

San Francisco, California, United States

Team size

11-50

Work style

Remote

Industry

Technology, Information and Internet

Sub-industry

FinOps / cloud cost management

Offices

San Francisco, California, United States
Wilmington, Delaware, United States

Business model

SaaS subscription
Freemium/free trial
Demo-led sales
Professional services

Funding

Stage

Seed

Total raised

$625K

Latest round

Seed · Aug 2023

Latest amount

$125K

Seed

Aug 2023

$125K

Pre-Seed

Apr 2023 · Y Combinator

$500K

People & investors

Leadership

Ashot Ayvazyan

Co-Founder and CEO

Suren Marashlyan

Co-Founder and VP of Engineering

Tigran Hakobyan

Chief Marketing Officer

Tigran Sardaryan

CTO / Principal Engineer

Mikayel Ayvazyan

Lead Product Designer

Investors

Begin Capital
BigStory VC
Decacorn Capital
Flyer One Ventures
SmartGateVC
Triple S Ventures
Y Combinator

Work & culture

Fast-moving, engineering-heavy, remote-distributed startup culture with close founder access, customer-feedback-driven product shipping, and strong DevOps/FinOps orientation.

Work style

Remote

Compensation

No public salary bands were found. A public SDR posting mentions a stock equity program after the probation period.

Benefits

Remote / work from anywhere
Flexible schedule
Stock equity program after probation
Training and development from day one
Direct work with co-founders
Product-team environment

Product & market

Pricing

Tiered monthly SaaS with free trial/no credit card and demo-led sales; public tiers were shown at $49.99, $189.99, and $899.99 per month.

Differentiators

  • —Unified visibility across cloud and AI spend
  • —Automated actions and remediation workflows, not just reporting
  • —AI Copilot / MCP support for natural-language queries
  • —Cost allocation by dimensions, team, product, and business unit
  • —Live resource metrics tied to spend spikes
  • —DevOps and FinOps expert support/services
  • —Kubernetes-focused optimization and pull-request workflows
  • —Multi-cloud coverage across AWS, GCP, Azure, and more

Technology

AWS
GCP
Azure
Kubernetes
Terraform
Helm
GitHub Actions
Argo CD
Datadog
New Relic
Confluent
Databricks
DigitalOcean
OpenAI
Anthropic
GitHub Copilot
Slack
Jira
MCP

Customers

ServiceTitan
CodeSignal
Digital.ai
D2iQ
SuperAnnotate
Activeloop
Bardeen

Competitors

CloudZero
Cloudability
CloudHealth
Vantage
DoIt

Scale & contact

Estimated revenue

$2.9M-$4.3M/year (third-party estimates)

Estimated monthly visits

43.8K

Traffic estimate as of Apr 2026

support@cloudchipr.com+1 302-551-3768

Latest news

AI Cost Governance: Budgets, Policies, and Spend Guardrails That Actually Work

Cloudchipr blog · Jul 2026

Cloudchipr argues AI spend now needs budget hierarchy, alerts, policy guardrails, and pre-deploy cost review to prevent surprises and make governance operational.

Cloudchipr Now Works With Your AI Assistant: Query Your Cloud Costs in Plain English

Cloudchipr blog · Jul 2026

Announces the MCP server that lets users query cloud costs and savings opportunities from assistants like Claude and Cursor in natural language.

Measuring AI ROI: A Leadership Guide to Proving Value Beyond Cost Savings

Cloudchipr blog · Jul 2026

A leadership guide focused on measuring AI ROI using cost per outcome, unified visibility, and attribution across AI and cloud spend.

AI vs Cloud Cost Visibility: Why AI Spend Is Structurally Harder to Observe

Cloudchipr blog · Jul 2026

Explains why AI spend is harder to attribute than cloud infrastructure and positions Cloudchipr as a unified visibility layer across both.

Product Updates: July 1, 2026

Cloudchipr blog · Jul 2026

Adds GitHub Copilot spend tracking, improved MCP access, broader filtering/anomaly features, and other product enhancements.

BlogDevOps ServicesDocs: Get HelpGitHub orgLeadershipLinkedIn companyMCP serverPricingSupportWebsite
SourcesOfficial homePricingSupportLeadershipTerms & ConditionsBlogDevOps ServicesDocs: Get HelpDocs: MCP ServerGitHub orgLinkedIn companyY Combinator company pageSmartGateVC investment postFlyer One Ventures investment postAshot Ayvazyan LinkedInSuren Marashlyan LinkedInTigran Hakobyan LinkedInMikayel Ayvazyan LinkedInTraffic estimateRevenue estimate

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