Insights
Build vs. Buy: Why More Companies Are Choosing to Build Custom Software in 2026
By Elliot Mendiola · Published Aug 3, 2026

The Default Answer Used to Be "Buy"
Ask most business owners why they use the software they use, and the honest answer is usually some version of "it was already there." Somebody found a tool a few years back, it did the job well enough, and nobody has questioned it since. Need software, buy software.
That default is starting to crack. Retool's 2026 Build vs. Buy Report found that 35 percent of teams have already replaced at least one SaaS product with something they built themselves, and 78 percent plan to build more custom tools this year.
Buying Keeps Getting More Expensive
Some of that shift is just math. IT leaders who renewed a SaaS contract in the past year saw a price increase 79 percent of the time, according to Zylo's 2026 pricing research, and total spend climbed nearly 8 percent even though the number of tools stayed flat.
A good chunk of that comes from AI. Vendors are rolling out new "AI-enhanced" tiers and quietly retiring the plans that do not include them, so customers get pushed onto pricier tiers whether they touch the AI features or not. Then there is the waste underneath it: the average company runs at 54 percent license utilization, which works out to close to $19.8 million a year spent on seats nobody is using.
Licensed to You, Not Sold to the Shop Down the Street
When Grey Mountain Software builds a system for a client, we build and license it for that one business, not a template we hand off to the next contractor or salon that calls us.
With SaaS, you and the business three doors down are often running the identical dashboard, because it was never built with either of you specifically in mind. Software licensed around your process works the way your crew actually works, dispatch, scheduling, inventory, whatever it is, instead of the other way around.
Fewer Logins, Fewer Blind Spots

Off-the-shelf tools rarely talk to each other well. Add a new one and you usually add a new login, plus one more place for customer information to fall out of sync.
Custom software does not have that problem, because the integrations are built around the systems you already run instead of whatever the vendor decided to support. One system built around one workflow closes the gaps that three or four bolted-together subscriptions leave wide open.
Who Else Has a Copy of Your Customer Data

Every subscription you sign up for is another company holding a copy of your business: your customer list, your pricing, your margins. Third-party involvement in data breaches jumped to 30 percent in 2025, up from roughly 15 percent the year before, according to Verizon's 2025 Data Breach Investigations Report.
Software built for your business alone means you decide where that data lives and who can touch it, instead of hoping a vendor's security team is faster than the next attacker.
A Real Edge, Not Just Another Tool
When every shop on the block runs the same point-of-sale system or the same scheduling app, that tool stops being an advantage. It is just overhead everyone shares equally.
Teams in Retool's research who rebuilt tools in-house cut six-figure amounts in subscription and headcount costs once the workflow was genuinely their own. Rent the commodity stuff. Build the part of your business that is not supposed to look like everyone else's.
Does the Math Actually Work Out?
For a single, simple tool, buying is usually still cheaper. A three-year cost comparison from Digital Applied put a typical SaaS setup at roughly $84,400 over three years, against about $88,600 to build and maintain the same thing custom, a modest premium.
The math changes once custom software replaces two or three subscriptions tied to one core workflow. That is when the separate fees and manual workarounds between systems start costing more than a single system built to do the whole job.
Not Everything Should Be Built
Payroll, email, and other commodity needs are usually still cheaper and faster to buy. Building makes sense when the workflow is genuinely core to how you operate and nothing on the market quite fits it. Our post on custom software costs in 2026 goes deeper on that decision, and subscription fatigue is a good place to start if you just want to see what you are already paying for.
Your Next Step
If you are tired of shaping your business around software that was never built for it, we would like to hear about it. Learn more about our operations software services, or contact us and we will walk through what a system built and licensed around your actual workflow could look like. And if this was useful, send it to another owner buried under too many logins.
Sources
SaaS Pricing and Vendor Lock-In
Zylo. "2026 SaaS Pricing Trends Driving Up Enterprise Costs." 2026. https://zylo.com/blog/saas-pricing-trends Used for: 79 percent of IT leaders saw a price increase at renewal, total spend rising nearly 8 percent year over year, forced AI-tier bundling driving up legacy-plan costs, 54 percent average license utilization and $19.8 million in average annual license waste.
The Shift Toward Building Custom Software
Retool. "The Build vs. Buy Shift: AI, Shadow IT, and the SaaS Replacement Era" (2026 Build vs. Buy Report). 2026. https://retool.com/blog/ai-build-vs-buy-report-2026 Used for: 35 percent of teams have already replaced at least one SaaS product with custom software, 78 percent plan to build more custom tools in 2026, and examples of teams cutting subscription and headcount costs by building in-house.
Long-Term Cost Comparison
Digital Applied. "Build vs Buy: The 2026 Case for Custom AI Tools." 2026. https://www.digitalapplied.com/blog/build-vs-buy-ai-custom-tools-vs-branded-saas-2026 Used for: three-year total cost of ownership comparison between SaaS and custom-built software, and the "own the workflow, rent the commodity" framing for deciding what to build versus buy.
Data Control and Security
Deepstrike. "Third-Party Risk Statistics 2026: Vendor Risk Data" (citing Verizon's 2025 Data Breach Investigations Report). 2026. https://deepstrike.io/blog/third-party-risk-statistics Used for: third-party involvement in data breaches rising to 30 percent in 2025, up from roughly 15 percent the prior year.