Enterprise AI, from strategy to production
San Diego, CA · Data & AI Platforms
Data platforms and ML for San Diego companies, from sequencing data to device test results, with security and lineage built in.
Data & AI Platforms in San Diego
San Diego combines one of the country's largest biotech and genomics clusters with the Navy and a deep defence supply chain, wireless technology firms and major health systems. AI work here often involves either sensitive genetic data or controlled defence information.
Where it fits
Large sequencing outputs processed and organised.
Find failure patterns across test runs.
Built for California rules
Notice, opt-outs and data minimisation for personal data AI uses.
Controlled unclassified information kept inside assessed environments, AI tools included.
Validated systems, audit trails and e-signatures for regulated records.
Stricter-than-HIPAA limits on sharing medical information.
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 map your data sources, flows, owners and quality issues.
We design a platform that fits your cloud, scale and budget.
We deliver pipelines, models and dashboards in working increments.
We set up monitoring, alerts and governance your team can run.
Yes. We design storage and compute for large files, with tiered storage and on-demand processing to keep costs down.
MLOps is the set of practices and tools for deploying, monitoring and updating machine learning models reliably, much as DevOps does for software. It keeps models accurate as data changes.
We work with the major cloud providers and with on-premise environments, and design the platform around the tools and contracts you already have.
Not always. We often build the data foundations a specific AI use case needs first, then extend the platform as more use cases follow.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
Let's connect