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Case Study4 min read· April 10, 2026

$2,497 vs $150K The Build-vs-Buy Math for AI Infra

Carolina Fogliato

Published April 10, 2026

Building the same 8-module infrastructure yourself runs $150K-$300K. Owning it starts at $2,497. Here's the honest build-vs-buy math.

The infrastructure every AI startup builds is the same, and building it yourself runs $150K-$300K before you ship a feature. Owning it already integrated starts at $2,497, once. The math is the argument.

Build-vs-buy for AI infrastructure is usually discussed in theory. With Talos, the numbers are concrete: the same 8-module stack that costs $150K-$300K to build costs $2,497 to own. The gap is the entire thesis.

The Build Side, Itemized

Issue-tree the build cost and it's the same every time:

  • Senior dev time: months of building billing, config, orchestration, mobile.
  • Opportunity cost: the product not shipped while infra is built.
  • Rework: the pivot that forces the infra to be rebuilt to a standard.

The total lands at $150K-$300K, and that's before the cost of getting it wrong once.

The Buy Side

Owning Talos starts at $2,497, once: the full 8-module codebase, self-host + white-label, 24-month security patches. The cashflow difference is not marginal — it's two orders of magnitude, and the buy side includes the architecture already integrated on a Hexagonal DDD core.

The Question That Decides It

The honest build-vs-buy question for AI infra: is the infrastructure differentiated? If no — and for almost every AI startup it isn't — then building it is spending differentiated-budget on undifferentiated work. The buy decision is the only one that respects the runway.

What You Give Up Buying

Be honest about the trade. You give up the freedom to design the infra exactly your way, in exchange for an infra already designed to a standard most teams never reach. For a small team, that's a trade in your favor.

Conclusion

The build-vs-buy math for AI infra is $150K-$300K to build versus $2,497 to own. The infrastructure isn't differentiated; the runway you save by not building it is.

About FACTA

FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.

We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.

Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:

AI leadership that builds. Not just advises.

Run the math against your own build estimate.

See the Talos product page for what the $2,497 includes. Related: the 8-module DDD core.

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