Enterprise AI, from strategy to production
San Jose, CA · Generative AI Engineering
Generative AI for San Jose engineers: design knowledge search, support assistants and documentation tools, grounded in your own data.
Generative AI Engineering in San Jose
San Jose sits at the heart of Silicon Valley's hardware economy: chip designers, equipment makers, networking and enterprise software companies. Engineering knowledge is the core asset here, and much of it is subject to export controls.
Where it fits
Find past design decisions, errata and test notes.
Answers from docs, release notes and past cases.
Built for California rules
Controlled technical data kept away from tools and people it may not reach.
Notice, opt-outs and data minimisation for personal data AI uses.
Anti-bias testing and records for AI used in hiring and promotion.
Working together · Pacific Time
Your early morning is our late evening, so we meet live as your day starts and build while you sleep.
How we work
We agree what a good answer looks like and build a test set.
We connect trusted sources and design retrieval around them.
We measure accuracy, safety and cost, and iterate until it holds up.
We launch with monitoring and feedback loops that keep it improving.
Yes. We can deploy open-weight models on your infrastructure so sensitive engineering data never leaves it.
Retrieval-augmented generation (RAG) finds the most relevant passages in your own content and gives them to the language model with the question, so answers are grounded in your data and can cite their sources.
Often not. Good retrieval and prompt design solve most enterprise use cases. We recommend fine-tuning only when evaluations show it clearly improves quality, cost or speed.
We design around your security requirements: private deployments where needed, access controls applied to retrieval, no training on your data without consent, and full logging.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
Let's connect