Custom AI & ML solutions
driving growth in Los Angeles

We work with LA clients regularly. We are based in Irvine, so we are direct about the tradeoff: LA engagements run remote-first with in-person work batched into scheduled onsite days rather than dropping by. The assessment, the policy, the training, and the build are all the same, and the training is often better received over video for teams that are already distributed.

Two things. We are vendor-neutral, so we do not resell software and our recommendations include telling you not to buy something. And we start with an assessment rather than a build, so the first deliverable is a clear picture of what your team already does, where your data goes, and which two or three workflows are worth the effort, not a project someone has to justify later.

For internal work like scheduling, summarizing, research, and administrative drafting, yes, straightforwardly. For anything that becomes part of a deliverable, the questions are provenance, credit, and what your contracts and any applicable guild or union agreements require. We help you set an internal policy and a record-keeping habit that matches those obligations, and leave the contract interpretation to your counsel.

It starts with a 30-minute kickoff over video, then a written proposal, then the on-site AI Strategy & Assessment: tool inventory, data safety review, a written AI usage policy, and a prioritized roadmap you keep.

We work with teams from 5 to 200 employees: professional services firms, healthcare-adjacent practices, real estate and insurance offices, and trades businesses with an office staff. We’re based in Irvine and primarily serve all of Southern California, including Orange County, Los Angeles, San Diego, and Riverside counties. We also work with remote teams across the U.S. and Canada.

It might be, and you’re not alone. Most businesses have employees using AI tools without approval and regulation about what data can go into them. Our SafeLab AI Strategy & Assessment gives your team clear, safe rules from day one.

No, that’s the point. SafeLab exists for businesses that want effective AI integration but don’t have anyone technical to own it. We handle the technical decisions and explain everything in plain language, so you get results without making a six-figure hire.

Safety is built into everything we set up: a data safety review of where your information is going today, a written policy on what may and may not enter AI tools, and vetting of every vendor before it touches your data. Our founder built production AI systems for healthcare and enterprise environments where data protection is non-negotiable.

SafeLab provides a comprehensive on-site assessment: we observe your current software and workflows, evaluate where AI fits (and where it doesn’t), a data safety review of what your team is already putting into AI tools, a starter AI usage policy ready to hand to employees, and a prioritized roadmap of what to set up first, what it costs, and what it saves.

SafeLab help you make sure that the setup and configuration of the tools on your roadmap are up to date in an ever-changing AI landscape, your governance policy kept current, a real expert to ask when something doesn’t work, and vendor vetting before you sign up for any new AI tool.

We define the metrics that matter to your business at kickoff, capture baselines during the assessment, and set up dashboards and reporting so you can see the effect of AI on productivity, customer satisfaction, and the bottom line. On-Going Support includes regular check-ins to review progress and adjust the plan.

Yes. We take on custom AI development requests, including agents, integrations, and private deployments, as separately scoped project work.