Build vs Buy: How to Decide When SaaS Beats Custom Software

Originally Published:
January 16, 2026
Last Updated:
January 20, 2026
11 min

TL;DR

The build vs buy software debate is the ultimate strategic crossroads for modern IT leaders. Building offers total control and customization but comes with high maintenance costs and technical debt. Buying SaaS offers speed, scalability, and lower initial costs but can lead to vendor lock-in. This guide provides a definitive decision matrix focused on "Core vs. Context" to help you determine whether SaaS or custom software is the right path for your organization in 2025.

Introduction: The Trillion-Dollar Engineering Dilemma

Every CIO, CTO, and Engineering VP eventually faces the same question. It usually starts in a conference room where a team of developers is pitching a new internal tool.

"We can build this ourselves in three months," they say. "It will fit our workflow perfectly, we won't pay licensing fees, and we'll own the IP."

Across the table, the CFO and Procurement leaders are skeptical. They see a roadmap filled with distractions, potential security holes, and a maintenance burden that will last for a decade.

This is the classic build vs buy software dilemma.

In the early days of tech, you built everything because you had to. There was no Salesforce; there was no Slack. Today, the SaaS landscape is saturated. There is an API for everything from billing (Stripe) to communication (Twilio) to authentication (Auth0).

Yet, the urge to build remains strong. Companies like Uber and Airbnb built their own internal tools because nothing in the market could scale to their needs. But for the vast majority of enterprises, the calculation is different.

Making the wrong choice here is expensive. Buying the wrong software leads to shelfware and frustration. Building the wrong software results in millions of wasted engineering hours and a legacy codebase that paralyzes innovation.

This guide will dissect the SaaS vs. custom software decision, moving beyond surface-level arguments to expose the hidden costs of ownership, the realities of maintenance, and the strategic frameworks used by the world's top tech companies.

The Core Framework: Core vs. Context

Before we dive into spreadsheets and feature lists, we must establish a philosophical framework. The most effective model for this decision is Geoffrey Moore's Core vs. Context framework.

What is Core?

Core is your business's unique differentiator. It is the proprietary functionality that customers pay you for. It is the reason you exist in the market.

  • Example: For Uber, the algorithm that matches riders to drivers and sets pricing is Core. They should build this.

What is Context?

Context is everything else required to run the business. It is mission-critical, but it doesn't differentiate you.

  • Example: For Uber, the HR system that pays employees or the CRM that tracks sales leads is Context. They should buy this.

The Golden Rule: Invest your engineering talent in Core. Buy SaaS for Context.

If you are building custom software for payroll, email marketing, or IT procurement strategy, you are likely allocating scarce resources to a non-differentiating activity. Your customers do not care how good your internal ticketing system is; they care about your product.

The Case for Buying SaaS

In 2025, the default setting for most enterprise needs is "Buy." The SaaS market has matured to the point where specialized vendors can almost always outperform internal teams in their respective niches.

1. Speed to Market (Time-to-Value)

This is the single biggest advantage of buying. A complex SaaS platform can be deployed in days or weeks. Building a comparable solution internally could take 6–18 months.

  • The Reality: In a competitive market, waiting a year to deploy a solution is often not an option. Speed is a feature.

2. Predictable Costs (OpEx)

When you buy SaaS, you know the price tag. It is a line item in the budget: $100 per user/month. This predictability allows Finance to forecast accurately.

  • The Nuance: While SaaS costs can rise (see the concept of the "Renewal Trap"), they are generally more transparent than the nebulous costs of internal development.

3. Benefit from Best Practices

When you buy a tool like Salesforce or ServiceNow, you aren't just buying code; you are buying the collective workflow wisdom of thousands of customers.

  • Crowdsourced Innovation: SaaS vendors spend millions on R&D. When they release a new AI feature or security patch, you get it instantly without lifting a finger.

4. Transfer of Risk

Security, compliance, and uptime become the vendor's problem. If you build it, you are responsible for patching every vulnerability (Log4j, anyone?) and waking up at 3 AM when the server crashes.

  • Compliance: Achieving SOC 2 or HIPAA compliance for a home-grown tool is a massive, ongoing headache. SaaS vendors handle this for you.

Stop wasting engineering hours on non-core tools; request a demo to see how buying solves the problem instantly.

The Case for Building Custom Software

Despite the dominance of SaaS, "Building" is not dead. There are specific scenarios where custom development is not just a valid choice, but the only choice.

1. Unique Business Processes

If your workflow is truly unique, perhaps you manage a supply chain for a novel type of biofuel, off-the-shelf software might only cover 60% of your needs.

  • The Gap: Trying to force a rigid SaaS tool to fit a unique process often requires clumsy workarounds that destroy productivity.

2. Competitive Advantage

If the software does something that gives you an edge over competitors, you should own it.

  • Control: Custom software lets you iterate faster than a vendor that has to prioritize features for thousands of clients. You control the roadmap.

3. Total Cost of Ownership (At Scale)

This is the counter-intuitive point. For massive scale, SaaS can become prohibitively expensive.

  • The Example: Companies like Dropbox eventually moved off AWS (IaaS/SaaS) to build their own infrastructure because the storage margins at their scale were unsustainable. Similarly, if you have 100,000 users, a per-seat SaaS license might cost $10M/year, whereas a custom tool might cost $2M/year to maintain.

4. Integration Requirements

Sometimes, your legacy systems are so archaic or specific that no modern API can connect to them. Building a custom middleware or interface might be the only way to bridge the gap.

The Hidden Killer: Technical Debt and Maintenance

The biggest mistake organizations make in the build vs buy software calculation is looking only at the Build cost.

They ask: "How much will it cost to develop version 1.0?"

They should ask: "How much will it cost to maintain this for 5 years?"

The Maintenance Iceberg

Industry data suggests that the initial build is only 20-30% of the total lifecycle cost of software. The remaining 70-80% is maintenance.

  • Bug Fixes: Code breaks. Browsers update. APIs change. Who fixes it?
  • Security Patches: New vulnerabilities are discovered daily.
  • Feature Requests: Internal users will demand updates. "Can we add a dark mode?" "Can we integrate with the new HR system?"
  • Documentation: Who trains new employees to use the homegrown tool?

If you build it, you become a software company for that tool. You need a Product Manager, a QA team, and a support desk. Do you have the headcount for that?

This is often referred to as technical debt, where short-term decisions to build quickly result in long-term operational drag.

Comparative Analysis: SaaS vs. Custom Software

To help visualize the trade-offs, let's look at a direct comparison across key dimensions.

Feature Buying SaaS Building Custom
Upfront Cost Low (Implementation fees) High (Development salaries)
Ongoing Cost Medium/High (Subscription fees) Variable (Maintenance & Hosting)
Time to Market Fast (Weeks) Slow (Months/Years)
Customization Low/Medium (Configuration) High (Infinite)
Scalability High (Vendor handles it) Dependent on architecture
Security Risk Low (Vendor responsibility) High (Your responsibility)
Innovation Vendor-driven Internal-driven

The Decision Matrix: How to Decide

So, how do you make the call? Use this decision matrix.

Question 1: Is this problem unique to us?

  • Yes: Lean towards Build. If you are solving a problem nobody else has, there is no product to solve it.
  • No: Lean towards Buy. If you need a CRM, HRIS, or Ticketing system, buying is smarter.

Question 2: Is this a "Core" competency?

  • Yes: Lean towards Build. Own your IP.
  • No: Lean towards Buy. Don't reinvent the wheel for administrative tasks.

Question 3: Do we have the talent?

  • Yes: Lean towards Build (potentially). Do you have idle engineers with the required skill set (e.g., AI/ML)?
  • No: Lean towards Buy. Hiring a team to build a tool can take months before a single line of code is written.

Question 4: Does an 80% solution exist?

  • Yes: Lean towards Buy. If a SaaS tool covers 80% of what you need, buy it and adapt your process to it. The cost of building the final 20% is rarely worth it.
  • No: Consider a hybrid build-buy FinOps strategy, where you buy a platform and build custom extensions on top of it.

Question 5: What is the Time-to-Value requirement?

  • Urgent: Lean towards Buy.
  • Long-term: Build is an option.

The Hybrid Approach: Build On Top Of Buy

In 2025, the binary choice is fading. The rise of Platform-as-a-Service (PaaS) and robust APIs means you can often do both.

This is the "Composability" strategy. You buy the core engines (e.g., Stripe for payments, Auth0 for login, Twilio for SMS) and "glue" them together with custom code to create a unique experience.

For example, in the FinOps world, many companies debate custom cost governance tools vs. buying a platform. The smart move is often to buy a comprehensive platform like CloudNuro to handle the heavy lifting (ingestion, normalization, optimization) and then use the API to feed that clean data into internal dashboards for specific stakeholder reporting.

This gives you the reliability of SaaS with the customization of a build.

Don't struggle with custom maintenance; see how CloudNuro combines SaaS power with custom flexibility.

Financial Modeling: Calculating the Real ROI

When presenting your case to the CFO, you need numbers. Here is how to model the ROI.

Cost of Buying

CostBuy = (LicenseCost × Users × Years) + ImplementationFee + Training

Cost of Building

CostBuild = (DevHours × Rate) + (Maintenance% × BuildCost × Years) + InfrastructureCosts

Note on Maintenance %: A standard industry rule of thumb is that annual maintenance costs are 20-25% of the initial build cost.

The Breakeven Point:

Typically, building is cheaper in the very long run (5-7 years) if the scope doesn't change. However, in software, scope always changes. When you factor in the opportunity cost (what else could those engineers have built?), Buying almost always wins on ROI for non-core applications.

For a deeper dive on comparing financial models, read our analysis on FinOps as a Service vs In-House ROI.

Key Entities & Data (Quick Reference)

For IT leaders scanning this guide, here are the critical concepts:

  • Concepts: Technical Debt, Core vs. Context, TCO (Total Cost of Ownership), Opportunity Cost, Vendor Lock-in, Shelfware.
  • People: CIO, CTO, Product Manager, CFO, Procurement Lead.
  • Metrics: Time to Value (TTV), ROI, Maintenance Ratio, CapEx vs. OpEx.
  • Alternatives: Low-Code/No-Code Platforms, Commercial Off-The-Shelf (COTS), Bespoke Development.

FAQ: Build vs Buy Software

1. Is "Building" cheaper than "Buying" in the long run?

Rarely for non-core software. While you avoid license fees, the internal costs of maintenance, hosting, and security patching usually exceed the subscription cost of SaaS over a 3-5-year period.

2. How does AI impact the build vs buy decision?

AI makes "Building" easier (via coding assistants) but also makes "Buying" more attractive because SaaS vendors can integrate complex LLM features faster than an internal team can build them securely.

3. What about security risks in SaaS?

SaaS vendors generally have better security (SOC 2, ISO 27001) than internal tools because their business depends on it. Internal tools often languish without security updates.

4. Can we customize SaaS software?

Yes, most enterprise SaaS offers APIs, webhooks, and custom fields. However, heavy customization can make future upgrades difficult.

5. What is the 80/20 rule in build vs buy?

If a SaaS product meets 80% of your requirements, buy it. Building a custom solution to get that extra 20% of features usually costs 500% more.

6. Does CloudNuro support custom integrations?

Yes. CloudNuro is a SaaS platform that integrates with your unique stack, offering the best of both worlds, immediate value with flexibility.

Conclusion

The build vs buy software decision is not just a math problem; it is a strategic bet on where your organization should focus its energy.

In a world where speed is the currency of success, the bias should almost always be toward buying for any system that is not your core product. The "Context" of your business, HR, Finance, IT Management, and CRM, should be powered by best-in-class SaaS vendors who wake up every day thinking about how to optimize those specific workflows.

Reserve your "Build" capacity for the "Core", the secret sauce that makes your company unique.

By following this framework, you avoid the trap of becoming an IT shop that maintains internal tools instead of a business that serves its customers.

Ready to stop building and start optimizing? Get a free savings assessment to see the value of buying today.

About CloudNuro

CloudNuro is a leader in Enterprise SaaS Management Platforms, giving enterprises unmatched visibility, governance, and cost optimization. Recognized twice in a row by Gartner in the SaaS Management Platforms Magic Quadrant (2024, 2025) and named a Leader in the Info-Tech SoftwareReviews Data Quadrant, CloudNuro is trusted by global enterprises and government agencies to bring financial discipline to SaaS, cloud, and AI.

Trusted by enterprises such as Konica Minolta and FederalSignal, CloudNuro provides centralized SaaS inventory, license optimization, and renewal management along with advanced cost allocation and chargeback. This gives IT and Finance leaders the visibility, control, and cost-conscious culture needed to drive financial discipline.

As the only Unified FinOps SaaS Management Platform for enterprises, CloudNuro brings AI, SaaS, and IaaS management together in a unified view. With a 15-minute setup and measurable results in under 24 hours, CloudNuro gives IT teams a fast path to value.

Request a Demo | Get Free Savings Assessment | Explore Product

Table of Content

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Table of Contents

TL;DR

The build vs buy software debate is the ultimate strategic crossroads for modern IT leaders. Building offers total control and customization but comes with high maintenance costs and technical debt. Buying SaaS offers speed, scalability, and lower initial costs but can lead to vendor lock-in. This guide provides a definitive decision matrix focused on "Core vs. Context" to help you determine whether SaaS or custom software is the right path for your organization in 2025.

Introduction: The Trillion-Dollar Engineering Dilemma

Every CIO, CTO, and Engineering VP eventually faces the same question. It usually starts in a conference room where a team of developers is pitching a new internal tool.

"We can build this ourselves in three months," they say. "It will fit our workflow perfectly, we won't pay licensing fees, and we'll own the IP."

Across the table, the CFO and Procurement leaders are skeptical. They see a roadmap filled with distractions, potential security holes, and a maintenance burden that will last for a decade.

This is the classic build vs buy software dilemma.

In the early days of tech, you built everything because you had to. There was no Salesforce; there was no Slack. Today, the SaaS landscape is saturated. There is an API for everything from billing (Stripe) to communication (Twilio) to authentication (Auth0).

Yet, the urge to build remains strong. Companies like Uber and Airbnb built their own internal tools because nothing in the market could scale to their needs. But for the vast majority of enterprises, the calculation is different.

Making the wrong choice here is expensive. Buying the wrong software leads to shelfware and frustration. Building the wrong software results in millions of wasted engineering hours and a legacy codebase that paralyzes innovation.

This guide will dissect the SaaS vs. custom software decision, moving beyond surface-level arguments to expose the hidden costs of ownership, the realities of maintenance, and the strategic frameworks used by the world's top tech companies.

The Core Framework: Core vs. Context

Before we dive into spreadsheets and feature lists, we must establish a philosophical framework. The most effective model for this decision is Geoffrey Moore's Core vs. Context framework.

What is Core?

Core is your business's unique differentiator. It is the proprietary functionality that customers pay you for. It is the reason you exist in the market.

  • Example: For Uber, the algorithm that matches riders to drivers and sets pricing is Core. They should build this.

What is Context?

Context is everything else required to run the business. It is mission-critical, but it doesn't differentiate you.

  • Example: For Uber, the HR system that pays employees or the CRM that tracks sales leads is Context. They should buy this.

The Golden Rule: Invest your engineering talent in Core. Buy SaaS for Context.

If you are building custom software for payroll, email marketing, or IT procurement strategy, you are likely allocating scarce resources to a non-differentiating activity. Your customers do not care how good your internal ticketing system is; they care about your product.

The Case for Buying SaaS

In 2025, the default setting for most enterprise needs is "Buy." The SaaS market has matured to the point where specialized vendors can almost always outperform internal teams in their respective niches.

1. Speed to Market (Time-to-Value)

This is the single biggest advantage of buying. A complex SaaS platform can be deployed in days or weeks. Building a comparable solution internally could take 6–18 months.

  • The Reality: In a competitive market, waiting a year to deploy a solution is often not an option. Speed is a feature.

2. Predictable Costs (OpEx)

When you buy SaaS, you know the price tag. It is a line item in the budget: $100 per user/month. This predictability allows Finance to forecast accurately.

  • The Nuance: While SaaS costs can rise (see the concept of the "Renewal Trap"), they are generally more transparent than the nebulous costs of internal development.

3. Benefit from Best Practices

When you buy a tool like Salesforce or ServiceNow, you aren't just buying code; you are buying the collective workflow wisdom of thousands of customers.

  • Crowdsourced Innovation: SaaS vendors spend millions on R&D. When they release a new AI feature or security patch, you get it instantly without lifting a finger.

4. Transfer of Risk

Security, compliance, and uptime become the vendor's problem. If you build it, you are responsible for patching every vulnerability (Log4j, anyone?) and waking up at 3 AM when the server crashes.

  • Compliance: Achieving SOC 2 or HIPAA compliance for a home-grown tool is a massive, ongoing headache. SaaS vendors handle this for you.

Stop wasting engineering hours on non-core tools; request a demo to see how buying solves the problem instantly.

The Case for Building Custom Software

Despite the dominance of SaaS, "Building" is not dead. There are specific scenarios where custom development is not just a valid choice, but the only choice.

1. Unique Business Processes

If your workflow is truly unique, perhaps you manage a supply chain for a novel type of biofuel, off-the-shelf software might only cover 60% of your needs.

  • The Gap: Trying to force a rigid SaaS tool to fit a unique process often requires clumsy workarounds that destroy productivity.

2. Competitive Advantage

If the software does something that gives you an edge over competitors, you should own it.

  • Control: Custom software lets you iterate faster than a vendor that has to prioritize features for thousands of clients. You control the roadmap.

3. Total Cost of Ownership (At Scale)

This is the counter-intuitive point. For massive scale, SaaS can become prohibitively expensive.

  • The Example: Companies like Dropbox eventually moved off AWS (IaaS/SaaS) to build their own infrastructure because the storage margins at their scale were unsustainable. Similarly, if you have 100,000 users, a per-seat SaaS license might cost $10M/year, whereas a custom tool might cost $2M/year to maintain.

4. Integration Requirements

Sometimes, your legacy systems are so archaic or specific that no modern API can connect to them. Building a custom middleware or interface might be the only way to bridge the gap.

The Hidden Killer: Technical Debt and Maintenance

The biggest mistake organizations make in the build vs buy software calculation is looking only at the Build cost.

They ask: "How much will it cost to develop version 1.0?"

They should ask: "How much will it cost to maintain this for 5 years?"

The Maintenance Iceberg

Industry data suggests that the initial build is only 20-30% of the total lifecycle cost of software. The remaining 70-80% is maintenance.

  • Bug Fixes: Code breaks. Browsers update. APIs change. Who fixes it?
  • Security Patches: New vulnerabilities are discovered daily.
  • Feature Requests: Internal users will demand updates. "Can we add a dark mode?" "Can we integrate with the new HR system?"
  • Documentation: Who trains new employees to use the homegrown tool?

If you build it, you become a software company for that tool. You need a Product Manager, a QA team, and a support desk. Do you have the headcount for that?

This is often referred to as technical debt, where short-term decisions to build quickly result in long-term operational drag.

Comparative Analysis: SaaS vs. Custom Software

To help visualize the trade-offs, let's look at a direct comparison across key dimensions.

Feature Buying SaaS Building Custom
Upfront Cost Low (Implementation fees) High (Development salaries)
Ongoing Cost Medium/High (Subscription fees) Variable (Maintenance & Hosting)
Time to Market Fast (Weeks) Slow (Months/Years)
Customization Low/Medium (Configuration) High (Infinite)
Scalability High (Vendor handles it) Dependent on architecture
Security Risk Low (Vendor responsibility) High (Your responsibility)
Innovation Vendor-driven Internal-driven

The Decision Matrix: How to Decide

So, how do you make the call? Use this decision matrix.

Question 1: Is this problem unique to us?

  • Yes: Lean towards Build. If you are solving a problem nobody else has, there is no product to solve it.
  • No: Lean towards Buy. If you need a CRM, HRIS, or Ticketing system, buying is smarter.

Question 2: Is this a "Core" competency?

  • Yes: Lean towards Build. Own your IP.
  • No: Lean towards Buy. Don't reinvent the wheel for administrative tasks.

Question 3: Do we have the talent?

  • Yes: Lean towards Build (potentially). Do you have idle engineers with the required skill set (e.g., AI/ML)?
  • No: Lean towards Buy. Hiring a team to build a tool can take months before a single line of code is written.

Question 4: Does an 80% solution exist?

  • Yes: Lean towards Buy. If a SaaS tool covers 80% of what you need, buy it and adapt your process to it. The cost of building the final 20% is rarely worth it.
  • No: Consider a hybrid build-buy FinOps strategy, where you buy a platform and build custom extensions on top of it.

Question 5: What is the Time-to-Value requirement?

  • Urgent: Lean towards Buy.
  • Long-term: Build is an option.

The Hybrid Approach: Build On Top Of Buy

In 2025, the binary choice is fading. The rise of Platform-as-a-Service (PaaS) and robust APIs means you can often do both.

This is the "Composability" strategy. You buy the core engines (e.g., Stripe for payments, Auth0 for login, Twilio for SMS) and "glue" them together with custom code to create a unique experience.

For example, in the FinOps world, many companies debate custom cost governance tools vs. buying a platform. The smart move is often to buy a comprehensive platform like CloudNuro to handle the heavy lifting (ingestion, normalization, optimization) and then use the API to feed that clean data into internal dashboards for specific stakeholder reporting.

This gives you the reliability of SaaS with the customization of a build.

Don't struggle with custom maintenance; see how CloudNuro combines SaaS power with custom flexibility.

Financial Modeling: Calculating the Real ROI

When presenting your case to the CFO, you need numbers. Here is how to model the ROI.

Cost of Buying

CostBuy = (LicenseCost × Users × Years) + ImplementationFee + Training

Cost of Building

CostBuild = (DevHours × Rate) + (Maintenance% × BuildCost × Years) + InfrastructureCosts

Note on Maintenance %: A standard industry rule of thumb is that annual maintenance costs are 20-25% of the initial build cost.

The Breakeven Point:

Typically, building is cheaper in the very long run (5-7 years) if the scope doesn't change. However, in software, scope always changes. When you factor in the opportunity cost (what else could those engineers have built?), Buying almost always wins on ROI for non-core applications.

For a deeper dive on comparing financial models, read our analysis on FinOps as a Service vs In-House ROI.

Key Entities & Data (Quick Reference)

For IT leaders scanning this guide, here are the critical concepts:

  • Concepts: Technical Debt, Core vs. Context, TCO (Total Cost of Ownership), Opportunity Cost, Vendor Lock-in, Shelfware.
  • People: CIO, CTO, Product Manager, CFO, Procurement Lead.
  • Metrics: Time to Value (TTV), ROI, Maintenance Ratio, CapEx vs. OpEx.
  • Alternatives: Low-Code/No-Code Platforms, Commercial Off-The-Shelf (COTS), Bespoke Development.

FAQ: Build vs Buy Software

1. Is "Building" cheaper than "Buying" in the long run?

Rarely for non-core software. While you avoid license fees, the internal costs of maintenance, hosting, and security patching usually exceed the subscription cost of SaaS over a 3-5-year period.

2. How does AI impact the build vs buy decision?

AI makes "Building" easier (via coding assistants) but also makes "Buying" more attractive because SaaS vendors can integrate complex LLM features faster than an internal team can build them securely.

3. What about security risks in SaaS?

SaaS vendors generally have better security (SOC 2, ISO 27001) than internal tools because their business depends on it. Internal tools often languish without security updates.

4. Can we customize SaaS software?

Yes, most enterprise SaaS offers APIs, webhooks, and custom fields. However, heavy customization can make future upgrades difficult.

5. What is the 80/20 rule in build vs buy?

If a SaaS product meets 80% of your requirements, buy it. Building a custom solution to get that extra 20% of features usually costs 500% more.

6. Does CloudNuro support custom integrations?

Yes. CloudNuro is a SaaS platform that integrates with your unique stack, offering the best of both worlds, immediate value with flexibility.

Conclusion

The build vs buy software decision is not just a math problem; it is a strategic bet on where your organization should focus its energy.

In a world where speed is the currency of success, the bias should almost always be toward buying for any system that is not your core product. The "Context" of your business, HR, Finance, IT Management, and CRM, should be powered by best-in-class SaaS vendors who wake up every day thinking about how to optimize those specific workflows.

Reserve your "Build" capacity for the "Core", the secret sauce that makes your company unique.

By following this framework, you avoid the trap of becoming an IT shop that maintains internal tools instead of a business that serves its customers.

Ready to stop building and start optimizing? Get a free savings assessment to see the value of buying today.

About CloudNuro

CloudNuro is a leader in Enterprise SaaS Management Platforms, giving enterprises unmatched visibility, governance, and cost optimization. Recognized twice in a row by Gartner in the SaaS Management Platforms Magic Quadrant (2024, 2025) and named a Leader in the Info-Tech SoftwareReviews Data Quadrant, CloudNuro is trusted by global enterprises and government agencies to bring financial discipline to SaaS, cloud, and AI.

Trusted by enterprises such as Konica Minolta and FederalSignal, CloudNuro provides centralized SaaS inventory, license optimization, and renewal management along with advanced cost allocation and chargeback. This gives IT and Finance leaders the visibility, control, and cost-conscious culture needed to drive financial discipline.

As the only Unified FinOps SaaS Management Platform for enterprises, CloudNuro brings AI, SaaS, and IaaS management together in a unified view. With a 15-minute setup and measurable results in under 24 hours, CloudNuro gives IT teams a fast path to value.

Request a Demo | Get Free Savings Assessment | Explore Product

Start saving with CloudNuro

Request a no cost, no obligation free assessment - just 15 minutes to savings!

Get Started

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