San Diego · Enterprise AI

Enterprise AI for San Diego's science, device and defense economy

San Diego runs on work that gets audited: validated lab records, device quality files, defense contracts, patient charts. I build AI systems for that environment, private where they need to be, measured against a KPI from the first week and delivered at a fixed price.

Talk about your San Diego team Industries I work with

13.5%Real GDP growth in the San Diego metro from 2018 to 2023, computed from the BEA series in the chart below Source

12.9%Growth in average annual nonfarm jobs from 2020 to 2025, computed from the BLS series in the chart below Source

59,980Life sciences jobs in the region, according to San Diego Regional EDC Source

San Diego's economy is built on precision more than volume. The region's economic development corporation describes it as home to the largest concentration of military assets in the world, ranks its life sciences cluster among the top three in the country, and counts a manufacturing base that spans defense, aerospace, shipbuilding and medical devices. Qualcomm was founded here. Illumina and Dexcom are headquartered here. The Navy is everywhere.

Those industries share a problem that generic AI tools do not solve. The information that matters most sits in validated systems, controlled networks and thousands of versioned documents, and the cost of a wrong answer is a failed audit, a delayed submission or a security incident. A chatbot bolted onto a public model does not survive that environment. What works is narrower and more disciplined: agents and retrieval systems built on the company's own records, with access controls, evaluation and an audit trail designed in from the start.

That is the work I do. I'm an independent enterprise AI consultant based in Minnesota with 20 years across sales, paid acquisition, marketing technology, CRO and analytics, and I design, build and optimize agentic workflows, RAG and knowledge systems, and private AI infrastructure for regulated industries. For San Diego teams, that means a fixed scope, a fixed price, a weekly demo and one KPI everyone agrees on before any code gets written.

San Diego's industries, and where AI moves the number.

The sectors that anchor the San Diego economy, and the specific work I do for each.

01 / Industry

Life sciences and genomics

San Diego Regional EDC places the region among the top three life sciences markets in the U.S., with strengths in biotechnology, genomics, medical devices, RNA therapeutics and pharmaceuticals. Illumina and Dexcom are headquartered here, and the EDC lists BD, Bristol Myers Squibb, Gilead Sciences, Genentech and Ionis Pharmaceuticals as part of the cluster.

How I help

Life sciences companies drown in controlled documents: SOPs, protocols, batch records, validation packages, regulatory correspondence. I build knowledge systems that answer questions from the current, approved version of those documents, cite the exact source, respect document-level permissions and log every query for review. Typical first targets are deviation and CAPA investigations, where scientists spend hours reconstructing history, and submission prep, where teams assemble evidence from dozens of systems. The KPI is cycle time: days to close an investigation, or hours to compile a submission section.

Enterprise Knowledge Systems & RAG

02 / Industry

Medical devices and advanced manufacturing

The EDC counts more than 4,400 manufacturing establishments and more than 121,000 manufacturing jobs in the region, across defense, aerospace, medical devices and other sectors. It also points to the region's proximity to Tijuana, which it calls Mexico's world-class medical device manufacturing hub.

How I help

Device makers live inside quality systems, and most of the friction is paperwork: complaint intake, nonconformance reports, supplier documentation, work instructions in two languages. I build document processing and agent workflows that classify and route complaints, pre-fill investigation records, flag reportability questions for a human to decide and keep a full trace for auditors. On the production side, retrieval over work instructions and maintenance history gets answers to the floor faster. The KPIs are complaint triage time, CAPA cycle time and first-pass yield.

AI for Manufacturing & Supply Chains

03 / Industry

Defense and aerospace

According to San Diego Regional EDC, the region holds the largest concentration of military assets in the world, and about 20 percent of its gross regional product comes from defense-related spending. General Atomics is headquartered here, and the aerospace industry traces back to Ryan Airlines and Consolidated Aircraft.

How I help

Defense contractors can rarely send sensitive data to a public AI service, so the work starts with infrastructure: models running on-prem or in a customer-controlled environment, with access boundaries that match how the data is already classified and handled. On top of that, I build retrieval over technical manuals and engineering history, and agents that draft proposal compliance matrices against a solicitation for a human to finish. The KPIs are proposal cycle time and the hours engineers spend hunting for technical data.

On-Prem AI Infrastructure & Open-Source LLMs

04 / Industry

Health systems

The region's care is delivered by large integrated systems including Sharp HealthCare, Scripps Health, UC San Diego Health and Rady Children's, all based in San Diego, operating under HIPAA and California's own privacy rules.

How I help

The fastest returns in a health system are usually on the revenue cycle and administrative side, not the exam room. I build agents that assemble prior authorization packets from the chart, retrieval systems that answer policy and payer-rule questions with citations, and denial workflows that draft appeals for staff review. Everything runs with minimum-necessary access and full logging. The KPIs are prior authorization turnaround, denial rate and days in accounts receivable.

HIPAA-Compliant Enterprise AI for Healthcare

San Diego by the numbers.

Public data on the size and direction of the San Diego economy.

San Diego metro real GDPReal gross domestic product of the San Diego metro area, billions of chained 2017 dollars, 2018 to 2023

Show the numbers

Year	$B
2018	230.5
2019	236.6
2020	233.3
2021	250.4
2022	258
2023	261.7

Source: U.S. Bureau of Economic Analysis via FRED. Series RGMP41740, Total Real Gross Domestic Product for San Diego-Carlsbad, CA (MSA), millions of chained 2017 dollars, converted to billions and rounded to one decimal. FRED marks this series as discontinued; 2023 is its most recent value.

San Diego metro nonfarm jobsTotal nonfarm employment in the San Diego-Chula Vista-Carlsbad metro, annual average, thousands of jobs, 2020 to 2025

Show the numbers

Year	K jobs
2020	1,385.8
2021	1,442.1
2022	1,531.4
2023	1,553.8
2024	1,566.6
2025	1,564.4

Source: U.S. Bureau of Labor Statistics via FRED. Series SAND706NAN, All Employees: Total Nonfarm in San Diego-Chula Vista-Carlsbad, CA (MSA), monthly, not seasonally adjusted, thousands of persons. Annual values are the average of the 12 monthly values for each year, computed by us and rounded to one decimal.

UC San Diego anchors the region's research base. Its San Diego Supercomputer Center received a National Science Foundation EAGER award to support research groups in the National Artificial Intelligence Research Resource (NAIRR) Pilot on NVIDIA DGX Cloud resources, and an NVIDIA DGX B200 system at the center is available to UC San Diego's Hao AI Lab and the wider campus. The Salk Institute and Scripps Research sit alongside it on the Torrey Pines mesa, which is why so much of the region's biotech and genomics work clusters nearby.

The technology base goes well beyond biotech. Qualcomm, founded in San Diego in 1985, pioneered technologies at the heart of 3G and 4G wireless. San Diego Regional EDC counts nearly 1,000 firms focused on cybersecurity, supporting about 26,000 jobs, a direct result of the region's defense footprint. For a company deploying AI here, that means the talent to run models privately and secure them is local, even when the strategy and build work comes from outside the region.

I work with San Diego companies remote-first from Minnesota, with on-site sessions when they earn the trip: a kickoff to map workflows with the people who own them, a working session with quality or security teams, a launch. Every engagement starts with one KPI and a baseline, then runs on a fixed scope and a fixed price with a live demo every week, so your team sees the system working on your data, not a slide about it. For regulated work, security and compliance come first in the plan: where the model runs, who can see what, how outputs are evaluated and how every answer can be traced back to its source.

Questions from San Diego teams.

We're a biotech with validated systems. Can AI touch GxP data without creating a validation problem?

Yes, if it's scoped carefully. Most first projects sit next to validated systems rather than inside them: read-only retrieval over approved documents, with citations and logging, and a human making every decision that matters. Where a system does become part of a regulated process, we plan the validation evidence and the evaluation tests as part of the build, not after it.

Our defense work involves controlled data. Can we use AI at all?

Often yes, but not through a public chatbot. The usual answer is models running on-prem or in an environment you control, with access rules that mirror how the data is already handled. I design the infrastructure and the security controls first, then build the workflows on top of it.

Do you need to be in San Diego to do this well?

No. Most of the work is remote and runs on weekly demos. I come on-site when it helps, usually for kickoff workshops, sessions with quality or security teams and launches, and we agree on those visits up front as part of the fixed scope.

How do we know the project is working?

We pick one KPI before any build starts, such as investigation cycle time, complaint triage time or prior authorization turnaround, and measure the baseline. Every weekly demo reports against it, so the decision to expand, change course or stop is based on numbers.

Put AI to work in San Diego, tied to a number.

Tell me the process or the problem. You'll get a straight answer on what it's worth and what it would take.

Let's talk

Enterprise AI for San Diego's science, device and defense economy

San Diego's industries, and where AI moves the number.

Life sciences and genomics

Medical devices and advanced manufacturing

Defense and aerospace

Health systems

San Diego by the numbers.

Questions from San Diego teams.

Put AI to work in San Diego, tied to a number.

Other markets I work in.

Sources