Enterprise AI, from strategy to production
Seattle, WA · Data & AI Platforms
Data platforms and ML for Seattle companies, from demand and fleet data to aircraft quality records, with governance and monitoring built in.
Data & AI Platforms in Seattle
Seattle's economy runs from cloud platforms and e-commerce to aircraft manufacturing, the port and global health. Many teams here already build on AI services, and Washington's health data law reaches well beyond hospitals, so data handling is part of every AI decision.
Where it fits
Stock the right items in the right places.
Vessel, terminal and truck data in one view.
Inspection and defect data ready for analysis.
Built for Washington rules
Consent before collecting or sharing health data, even outside HIPAA.
Notice and consent before face or voice data is enrolled.
Safeguards and a business associate agreement for anything touching patient data.
Controlled unclassified information kept inside assessed environments, AI tools included.
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.
We identify it at ingestion, keep it separate with stricter access, and only use it where consent covers that use, as Washington's law requires.
Yes. We extend the warehouse, lake and orchestration tools you already run rather than replacing them.
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