# AI consulting and development in San Diego, CA > Biotechnology, defence contracting and wireless telecommunications, three industries with long development cycles and no tolerance for an unexplainable result. If you're in one of them, a model that informs a decision has to show what it read, and evaluation has to produce a number someone can defend. Canonical: https://www.techfabric.com/ai-development-san-diego Serving: San Diego, La Jolla, Carlsbad, Chula Vista, Escondido, Oceanside Headquarters: 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295. No office in San Diego. --- ## Why San Diego work is our work An AI pilot that can't show what it read never gets past review into production. Our senior engineers build retrieval that cites the paper, spec, test record or contract behind an answer, agents that stop for a reviewer where the decision warrants it, and evals that produce a number someone can defend. San Diego's biotech, defence and wireless companies hold that bar highest, and a hospital or a property manager benefits too. ## AI consulting in San Diego AI consulting in San Diego starts with a low tolerance for unexplained results. Torrey Pines biotech, Navy contractors and Sorrento Mesa's wireless companies need a model that shows its sources and an evaluation that produces a defensible number, so we set the evaluation method before recommending any build. [AI consulting in Phoenix](https://www.techfabric.com/ai-consulting-phoenix) ## Work a buyer here would recognise Synapse and SQL Server gave way to Databricks Lakehouse and Lakebase at Location Services, cut over in reversible waves, and the rules engine that validates a repossession assignment on arrival now runs against governed lakehouse data. Any team whose decisions run on rules over a SQL Server history will find its own migration in that sequence. ## Defence and biotech ask for the same replay San Diego builds for two kinds of reviewer. Contractors supporting NAVWAR and the Navy commands around San Diego Bay now find CMMC requirements written into Defense Department contracts, and the labs on Torrey Pines Mesa answer to the FDA's 21 CFR Part 11 for electronic records. Both want access controlled and a result that can be reproduced from the records as they stood at the time. ## Questions ### We need results a reviewer can reproduce exactly. Replay is how. The event log is the source of truth and read models derive from it, so reproducing a result means replaying to a point rather than trusting that a snapshot was taken. Defence and biotech both need that and neither accepts an approximation. ### Do you have an office in San Diego? The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for discovery, workshops and the opening weeks of a build. ## What ai consulting and development covers ### Agents that hold state A task that runs for three days, calls six systems and waits twice on a person cannot live in a request handler. We build agents on a durable runtime, so a deploy in the middle of a run does not lose the run, and a retry does not send the same email twice. ### Retrieval that cites what it used An answer nobody can trace is an answer nobody can defend. Retrieval is built so every response carries the documents behind it. ### Evaluation, before and after Without a score, every prompt change is a matter of opinion. We put deterministic scorers and model-based judges in front of the thing so a change ships with a number attached rather than with a feeling. ### Human approval where it belongs Some actions should stop and wait for a person. That gate is part of the system rather than a policy document, so an agent that wants to issue a refund pauses, the approval is recorded, and the run picks up where it left off. ### Cost you can see Model spend, retrieval infrastructure and the review time a system still needs are the numbers that decide whether it stays live after the first quarter. They get instrumented at build time, not discovered on an invoice. ### Governed data access An agent reads through the same grants a person would. On Databricks that is Unity Catalog, so a model that tries to reach a table it has no grant for fails the way any principal fails, rather than because the prompt asked it nicely. ## Working with us from Arizona Arizona does not observe daylight saving, so from March to November we are on the same clock as you and from November to March we are an hour ahead. Either way the working day overlaps almost completely. Most delivery is remote or hybrid. We travel for discovery, workshops and the opening weeks of a build.