Every AI startup builds the same infrastructure — and ships nothing. The eight modules are predictable: Cortex, Brain, Pulse, Billing, System Config, Conductor, Tower, Mobile. The shortcut is owning them already integrated on one core.
The pattern is so common it has a name: the AI startup that spends its first year building billing, config, and a mobile shell instead of the product. The infrastructure is the same for everyone; the differentiation is never in it.
First Principles: What's Actually Differentiated
Strip an AI startup to what's differentiating and it's the model and the workflow — not the billing, not the config, not the mobile shell. Yet every team rebuilds the latter from scratch. The infrastructure is a commodity everyone pays full price for.
The DDD Core as the Design Decision
Hexagonal DDD puts the domain at the center and everything else — billing, mobile, the orchestration layer — as adapters around it. That design is what lets eight modules share one core instead of becoming eight disconnected services. Switch a module without migrating the domain; switch the domain without rewriting the modules.
- Cortex, Brain, Pulse: the intelligence and signal layer.
- Billing, System Config: the business and config layer.
- Conductor, Tower, Mobile: the orchestration and delivery layer.
Integrated From Day One, Not After a Pivot
The pitch is ownership of enterprise architecture from day one, not after a pivot. Five of the eight modules are production-live; three land Q2 2026. Each ships its own spec, tests, and audit trail, all wired through one Hexagonal DDD core.
Who It's For
Four operators, one codebase — the team that needs enterprise architecture from day one rather than after the pivot that forces them to build it. Every plan includes the full 8-module codebase, self-host + white-label license, and 24-month security patches.
Conclusion
Eight modules on one Hexagonal DDD core is the shortcut for the AI startup that would otherwise spend a year rebuilding commodity infrastructure. The differentiation is the model and the workflow — own the rest already integrated.
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.
Stop rebuilding commodity infra.
See what owning the 8-module codebase looks like at the Talos product page. Related: the build-vs-buy math.
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