SafeLab AI Engineering helps funded Southern California startups ship faster with AI, without leaking code or customer data or stalling security reviews.
Review which AI tools touch your code and customer data, creating the AI policy and roadmap customers and investors ask for.
Hands-on training for engineering, sales, and operations on your real work, including how to review AI-written code.
AI agents, product features, integrations, and private model deployments built to fit your stack. You own the code.
Keeps your AI use working, compliant, and current as vendors and California AI and privacy rules change.
AI fits into your stack and sprint cadence without slowing your team down.
A written AI policy, vendor list, and data map that answer customer security reviews and investor questions.
Every engagement includes former senior tech leads and engineers from leading tech companies.
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Startups that have raised, from pre-seed through Series A and beyond, with 5 to 200 people: B2B software, health and fintech, and hardware and consumer brands. We don’t take idea-stage or unfunded projects.
Yes, with written rules. Use business tiers that don’t train on your code, mark which repositories and secrets are off limits, and keep human review on every AI-written change.
Yes. Customers now ask which AI tools touch their data and whether you have a policy. The assessment gives you the policy, vendor list, and data map, so the next review takes an afternoon instead of a week.
Increasingly, yes. Diligence now asks where customer data goes, which AI vendors you rely on, and who owns AI-assisted code. A written policy and vendor list answer those questions cleanly.
Your company, as long as your employee and contractor agreements assign the work and your AI vendors’ terms leave output rights with you, which we check. U.S. copyright protects human work, so people should review and edit anything that matters.
Only once you pass one of its size thresholds. Your customer contracts often set data rules anyway, and those cover AI vendors too. We map what applies now and what comes as you grow.
Maybe later. Before product-market fit, a full-time AI hire is expensive for work that comes in bursts. We set up the policy, tools, and first AI features, and leave code and docs your future hire can build on.
Yes. Custom AI & ML Solutions covers agents, AI search over your own data, integrations, and private model deployments. Each project has a written spec, and you own the code.
Our team is based in Irvine and most clients are in Orange County and greater Southern California, where we can train your team in person. Remote engagements work fine for the assessment and On-Going Support.
It starts with a 30-minute kickoff meeting over video or in person, then a written proposal, then the on-site AI Strategy & Assessment: an AI tool and vendor review, a code and customer data review, a written AI usage policy, and a prioritized roadmap.
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