Shipment visibility
One view of containers, trucks and warehouse stock.
- 1Joins carrier and terminal data
- 2Predicts delays
- 3Alerts the right team
Los Angeles, CA · Data & AI Platforms
Data platforms and predictive models for Los Angeles companies, from container flows at the port to audience and demand data, with governance built in.
Data & AI Platforms in Los Angeles
Los Angeles mixes creative industries with heavy ones: studios and agencies next to aerospace plants, the country's busiest port complex, large hospital systems and fashion brands. AI here has to respect talent rights and defence security as much as it saves time.
Where it fits
One view of containers, trucks and warehouse stock.
Understand what audiences watch and why.
Buy and allocate stock with better forecasts.
Built for California rules
Notice, opt-outs and data minimisation for personal data AI uses.
Risk assessments, pre-use notices and opt-outs for automated decisions.
Controlled unclassified information kept inside assessed environments, AI tools included.
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 build pipelines that pull from carrier and terminal feeds, EDI and your own systems into one tested model, so everyone works from the same shipment data.
We minimise personal data in the platform, track where it flows, and design for access and deletion requests from the start.
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