Local-first by default
Inference, retrieval, and evidence handling stay on your hardware when latency, privacy, sovereignty, or physical context demands it. No mandatory third-party API in the path of your data.
// Work with the lab
Hand the lab a problem.
Celaya Solutions builds local-first, provenance-aware systems for legal, archival, and industrial work. You bring the domain and the constraints. The lab brings systems that show their work and run on your own hardware, with a human kept in the loop.
// What you get
A working system you can audit, deployed where your data lives.
Provenance as architecture
Every answer traces back to the records that produced it. Provenance is built into the system, not bolted on as a log, so an auditor, a judge, or a plant manager can follow the path.
Human in the loop
The system is designed around review and consequence. It surfaces what it did and why, so a person stays accountable for the decision rather than deferring to a black box.
// How engagement works
Four steps, no surprises.
1 · Discovery
A scoped conversation about the domain, the constraints, the data, and what a correct answer has to prove. Output is a written problem statement and a recommendation on whether the lab is the right fit.
2 · Scoped build
A fixed-scope build with a defined deliverable and an evidence target. You see traces and intermediate output, not just a finished box.
3 · Deploy
The system is deployed where your data lives, on hardware you control where that matters, with the provenance and review surfaces wired in.
4 · Handoff
Documentation, traces, and operating notes so your team can run, audit, and extend the system without the lab in the loop.
// Who this is for
Domains where being wrong has consequences.
Legal and archival teams that must show how a claim traces to a source. Industrial and manufacturing operations on the Ciudad Juarez and El Paso corridor, where review, latency, and data sovereignty are not optional. Civic work that has to stand up to public scrutiny. The common thread is auditability, bilingual context, and an operator who stays accountable.
// Start a build
Tell the lab what you are trying to prove.
One operator, signed work, replies in English or Spanish. Send the problem and the constraints, and you will get an honest read on fit.