Enterprise AI, from strategy to production
San Jose, CA · Data & AI Platforms
Data platforms and ML for San Jose companies, from wafer and test data to device telemetry, built for scale and secure by design.
Data & AI Platforms 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 the causes of yield loss faster.
Spot failing devices before customers do.
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.
Risk assessments, pre-use notices and opt-outs for automated decisions.
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 partitioned storage and efficient pipelines so large test datasets stay fast to query and affordable to keep.
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