nOps
An automated FinOps platform that manages cloud commitments and gives visibility into AI and multicloud costs across AWS, Azure, and GCP.
An automated FinOps platform that manages cloud commitments and gives visibility into AI and multicloud costs across AWS, Azure, and GCP.
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nOps is a practical fit for buyers evaluating focused AI tooling.
- What is nOps?
- An automated FinOps platform that manages cloud commitments and gives visibility into AI and multicloud costs across AWS, Azure, and GCP.
- Who is it for?
- FinOps managers who need automated Savings Plans and Reserved Instance management; reduces manual commitment tracking and purchasing.
Product information
What this product does
Automatically reduce your cloud costs with zero ongoing effort. Autonomous hourly commitment management for 50%+ savings. Pay only for results.
Sourced from nops.io
Works With
Platforms
- Web
AI Models
- Claude
Company & Maker
Who built nOps?
- Company
- nOps, Inc.
- Product
- An automated FinOps platform that manages cloud commitments and gives visibility into AI and multicloud costs across AWS, Azure, and GCP.
- HQ
- San Francisco
- Founded
- 2015
- Team size
- 51-200
- Founders
- JT Giri - CEO & Founder
- Sumit Gupta - Co-founder
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
Problem Solved
What problem does nOps solve?
FinOps leads, cloud engineers, and finance teams running AWS, Azure, or GCP workloads often only reach about 25% compute savings. Many avoid long-term commitments for fear of lock-in, and manual rebalancing happens roughly monthly even with dedicated FTEs. nOps maps usage patterns and automatically buys and manages Reserved Instances, Savings Plans, and CUDs, rebalancing hourly, while also allocating AI spend by model, team, and customer. Example: an engineering team on AWS connects its account read-only and lets nOps manage commitments instead of rebalancing by hand.
Researched with AI · Data refreshed 3 hours ago · How we score
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nOps is a cloud cost management platform that helps engineering and FinOps teams track spending, manage cloud commitments, and automate resource optimization. It focuses on reducing AWS costs while offering visibility and rate optimization across AWS, Azure, and Google Cloud.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Automate AWS commitment management without lock-in risk
- Allocate AI spend to the model, team, and customer that drove it
- Get unified visibility across multicloud, Kubernetes, SaaS, and AI costs
- Ask a FinOps AI agent cost questions and delegate cost tasks
- Automates AWS Savings Plans and Reserved Instance purchasing, renewal, and coverage adjustments based on usage patterns.
- Generates cloud cost allocation reports showing spending by service, account, team, and application.
Pricing reality
Vendor stated
Autonomous rate optimization uses a share-of-savings model. Cost visibility and allocation use a fixed fee based on cloud spending. A 14-day trial is advertised.
Actual cost
nOps does not publish its savings-share percentage or fixed-fee tiers on its pricing page. Capterra lists a $199 monthly starting price for a Basic offering, but current commercial terms require confirmation.
Hidden costs
4 hidden cost warnings — unlock to view
Pricing reality
Last updated Oct 2026
Starting price
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Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the listed starting price instead of fabricating plan names or $0 tiers.
General buyer tips
Common across software subscriptions, not findings about this product.
True cost for your case
LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
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Activity signals
Insufficient data
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HOW THIS TOOL SCORES
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Innovation Index™
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Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (30%) - some sub-scores have thin evidence.What this means →
Traffic & search proof
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Google Trends live interest
Live Google Trends data for nOps: interest over time, regions, topics, and related queries.
Tracks 12-month Google search interest on a 0-100 relative interest scale.
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Includes related topics and related queries to surface adjacent demand and search intent.
FAQ
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Sources and methodology
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COMMUNITY CREDITS
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