TITANIUM COMPUTING
(512) 623-9199
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TITANIUM AI · FOR SAAS COMPANIES
AI Features for Your Product, Automation for Your Operation
Your customers expect AI in the product, and your margins depend on a lean operation behind it. We build both, from the team that already manages infrastructure for SaaS companies.
Two Sides of the Same Engagement
AI Features Your Customers Use
Built to ship inside your existing architecture, with your engineers or as a standalone build.
Automation That Protects Margin
Scale support and ops without scaling headcount at the same rate.
Why SaaS Teams Build With Us
We already run infrastructure, security, and compliance for SaaS companies, so the AI we build lands in an environment we understand end to end. No handoff gap between the team that builds the feature and the team that keeps it up at 2 AM.
And we're operators of our own AI: voice agents and triage run our help desk daily. We know what production AI costs, where it breaks, and what it takes to keep it honest.
Three Ways to Engage
We Ship the Feature
A scoped AI feature designed, built, and delivered into your codebase: the assistant, the document intelligence, the search. Fixed scope, fixed price, your repo.
We Work With Your Engineers
Your team keeps ownership; we bring the AI experience they haven't had time to build: prompt architecture, eval harnesses, cost controls, and the production war stories.
We Automate Your Back Office
Support triage, onboarding, and internal knowledge systems for the operation behind the product, so headcount doesn't scale linearly with customers.
The economics matter as much as the engineering. Every feature we build ships with cost controls: token budgets per tenant, caching, model routing that uses the cheap model when the cheap model is enough, and dashboards showing exactly what AI costs you per customer. An AI feature that destroys your gross margin isn't a feature.
AI for SaaS FAQ
Which AI models do you build on?
Whichever fits the feature and your constraints: Anthropic, OpenAI, or open-weight models you host. We design so the model is swappable, because pricing and capability shift every quarter and your product shouldn't be hostage to one vendor.
How do you handle our customers' data?
Tenancy isolation from the first design session: what data reaches the model, what gets logged, and zero-retention agreements with model vendors. If your customers demand it, features can run against a private model on your own infrastructure.
Can you work inside our existing codebase?
Yes. We work in your repo, your CI, and your review process. You keep the code, the keys, and the vendor relationships; nothing routes through infrastructure you don't control.
What does an AI feature cost to run?
Less than most teams fear, if it's designed for cost from day one. We model per-tenant token costs during scoping and instrument them in production, so you can price the feature knowing your margin instead of discovering it on the first invoice.
Ship the AI Feature. Keep the Margin.
Start with a one-hour assessment of your product roadmap and operation.