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Leer en españolFor teams that already ran a pilot
Citable answers over your own documents, agents that call your real systems, and the evaluation and observability layer that holds them up once they stop being a demo. The work happens inside your environment: no record is copied into a Galio Labs account.
02 · Thesis
Most AI projects do not fail at the model. They fail at everything around the model: ungoverned data, context nobody versions, answers nobody measures, and failures nobody sees until a customer sees them first. A prototype convinces in twenty minutes; a system has to hold up through months of real traffic, model and token-price changes, and questions nobody anticipated. Galio Labs works in that gap.
03 · Capabilities
a
The system reads your procedures, your catalogues and your records, and answers questions about them while always pointing at the document each fact came from. When there are too many to read at once, it looks up the ones it needs and says so in the answer. And when what you asked is in none of your documents, it says it does not have it rather than inventing it, which is exactly where generic tools fail.
b
Agents that call your real systems within explicit limits: which tool, under which permissions, with what step budget, and exactly what happens when something fails. Any write to a system of record goes through human confirmation. Autonomy gets designed, not left loose.
c
A test bank that runs by itself every time anything changes, so an improvement does not quietly break what already worked. Protection against the trick of hiding instructions inside a document so the system obeys them. And a record of every query: what was asked, what the answer rested on, how long it took and what it cost. What cannot be measured does not go to production.
04 · Sectors
Five real operations. For each one, the exact point where it stalls and the metric that moves if it stops stalling. These are examples, not a catalogue and not a filter: if your process is not here but jams for the same reasons (documents nobody cross-checks, figures that do not add up, decisions that wait on one person being available) it fits just the same.
01
The close is spent chasing documents: invoices the client never uploaded, payment complements left unreconciled, and bank statements that arrive as PDFs. And when the client asks why their balance does not add up, somebody has to open six files before they can answer.
The metric that moves
02
Quoting means searching thousands of catalogue codes, checking stock in the ERP and assembling the document by hand. Every minute the quote takes is a minute the client spends asking somebody else for it, and the special terms negotiated for that account live in the head of the rep who closed them.
The metric that moves
03
A receipt is captured twice: once on the dock paperwork and again in the WMS, hours later. Cycle counting is permanently behind. And every customer who calls to ask about availability ties up someone who should be receiving.
The metric that moves
04
Quoting means logging into five carrier portals and building the comparison table by hand. Renewal depends on somebody remembering in time: the notice goes out late, the endorsement stalls, and the policy leaves with a competitor.
The metric that moves
05
Intake arrives split across the front desk, WhatsApp and the phone. The patient in Calexico writes in English at ten at night and someone answers at nine the next morning. The slot a late cancellation opens is never offered to anyone else.
The metric that moves
Accounting, insurance and hospitals all handle third-party tax or health data. In those three the work happens inside your environment, under your contract, or on masked data only. No record is ever copied to a Galio Labs server.
06 · Technical sheet
This sheet describes the Galio Labs reference system. Only what is verifiable today appears here: the table is short on purpose, and no figure is published before it can be measured. Anything absent from this table is not promised anywhere else on the site either.
| Models and providers | Claude (Opus, Sonnet and Haiku) through the Anthropic API, and the OpenAI models through theirs. For each task, whichever solves it best at the lowest cost, not whichever is habitual. |
|---|---|
| How it reads your documents | The system reads your documents whole on every query, and keeps that reading so it is neither repeated nor charged for twice. When there are so many they do not fit at once, it looks up only the ones it needs and says so in the answer, instead of answering as if it had read them all. There is no intermediate search layer chopping your documents up: at the volume handled today none is needed, and the day one is, it will appear in this table before it appears in a sales conversation. |
| How correctness is checked | Three tests with names of their own, run automatically every time anything changes. The first checks that every cited fact can be traced to the exact line of the document it came from; pointing at the document without pointing at the line counts as a failure. The second checks that, asked something your documents do not answer, the system says it does not have it instead of inventing it. The third checks that, if someone hides an instruction inside a document, the system reads it as text and does not obey it. The tests are written against your real documents, because those are what define what counts as correct. |
| What is measured on every query | How much text went in and out, how much the cache saved, what that query cost and how long it took. Measured query by query, not as a monthly average. |
| Where your data lives | The system is built and run inside the client environment, or on masked data and metadata. No client record is copied into a Galio Labs account. |
07 · Method
The four phases are bought in three formats, with no gap between them: phase 01 is the Diagnostic; phases 02 and 03 travel together in a single sprint (an unhardened prototype is not a deliverable, it is the problem this site claims to solve) and phase 04 is the ongoing work. All three carry a published price in the next section.
A private session and a review of the case: what data exists, what the system decides, what happens when it is wrong. It ends in a document with the scope, the risks and the recommended path, with the next phase already priced at a fixed fee.
The smallest version that answers the real question, with its automated tests from day one. It exists to measure the approach against your own data before anything gets built on top.
Hardened for real traffic: cost and latency ceilings, permission control, injection defences, per-request traces and deployment with a rollback path.
The system is watched and corrected with data: regressions caught by evaluation, cost per request under control, and model changes without rebuilding the product.
08 · Ways to engage
Method · phase 01
Review of the case, the data and the risk. It ends in a document with the scope, the risks and the next phase already priced at a fixed fee. That price is held for 60 days: decide within that window and it is the price that stands, with no requote.
Method · phases 02 and 03
The system gets built and made ready for real work, all inside the same engagement: automated tests from day one, control over what each query costs and how long it takes, permissions defining what it may touch and what it may not, a record of everything it does, and the ability to roll back to the previous version if something goes wrong. It runs on your systems, not mine. There is no second quote for putting it live: that is already included. The two figures map to the two timelines: twelve weeks is what USD 30,000 covers, and four weeks what USD 8,000 covers. Below that figure the scope comes down; the calendar does not stretch.
Method · phase 04
System evolution, architecture review and follow-up on what is already in production: regressions caught by evaluation, cost per request, and model changes.
Figures are fees in USD. The 16% VAT applies to Mexican clients. The zero rate in the Mexican VAT Law corresponds to services that are exported and used abroad: if the system is used in an operation inside Mexico, it carries 16%, even when the invoice goes to a parent company in another country. The peso equivalent is fixed at the DOF exchange rate on the day of signing. The first 50% is settled on signing. The opening twenty-minute call is free of charge; the Diagnostic is a priced deliverable.
09 · Profile
Adair Vargas AI engineering · San Luis Río Colorado, Sonora
I come out of enterprise cloud ecosystems: more than four years of data work, systems integration and process automation.
That work happened inside organizations already up and running, with IT teams, change committees and vendor onboarding involved.
Today I do AI engineering for organizations like those: citable answers over their own documents, agents over the software they already run, and the testing and logging layer that keeps it working in production.
I take the call, build the system and sign the contract.
10 · Capacity
Each engagement is carried through to production before the next one opens. One person delivers, not a team: Adair Vargas.
First contact is a twenty-minute call, at no cost, to understand your case and see how it gets solved. If you decide to go ahead, the next step is the Diagnostic, which is a priced deliverable: the one in the table above.
Without the form