About
We build the unglamorous half of enterprise AI.
We close the gap between AI prototypes and the systems your business actually runs on. We work alongside your teams, and we leave when the system is yours to run.
What drives us
Most AI programs stall between the notebook and production.
Every enterprise is experimenting with AI, and few are running it in production. The gap is rarely vision or ambition. It’s the engineering between a working notebook and a system the security team, the finance team, and the on-call rotation can all live with.
That’s where we work: identity flows that pass review, eval suites that catch what the laptop benchmark misses, cost ceilings agreed before finance has to ask, and integrations into the systems that already exist.
How we think
Three commitments we hold every engagement to.
Define better before building
The business owner, the engineering lead and we agree on a frozen eval set and a baseline before the build starts. From then on, progress is a number rather than a feeling in the demo room.
Small and senior, on purpose
Every person on your project is an experienced engineer. No pyramid, no offshore hand-off, and no one on the call who has to check with the people actually writing the code.
Build it with you, then hand it over
Your engineers pair with ours in your repo from the first week. When we leave, you keep the code, the runbook, and the people who wrote it.
Our founders
Founded by engineering leaders from big tech.
- engineering leadership
- FAANG
- Fortune 500 conversations
- 100+
- of users on their systems
- Millions
Salvador Advisory Group was founded by engineering leaders from FAANG companies. They spent their careers building and running production systems at the scale most enterprises only read about, on platforms where one bad deploy puts millions of users, and a quarterly earnings call, at risk.
That background is why the work translates. Our founders have sat across the table from more than one hundred of the Fortune 500, and the questions are always the same. How does this stay secure? How does it survive an audit? How does it integrate with the stack we already paid for? What does it cost us next quarter?
Whether enterprise AI ships is decided by everything around the model: identity, data, integration, observability, cost control, and the slow human process of getting people to actually use the thing. SAG is a small team built to do that work, inside your codebase, your cloud, and your constraints, until the system is in production and earning its keep.
Get started
Ready to ship?
Tell us what you’re trying to put in production. We’ll tell you, honestly, whether we can help.
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