Cloud infrastructure that captures physical data, normalizes it, and pushes it into real workflows. APIs, events, automation. Operated over time.
Architecture decisions driven by operational reality, not by trends or tooling hype.
Sensors ship data. The work starts after: pipelines, normalization, storage, APIs. We build what sits between the device and the system that actually consumes the data.
If the data doesn't reach your existing services, it doesn't exist. We design for integration from the start: protocols, formats, transports, contracts.
Production is where the real work begins. We instrument, monitor, and maintain. Systems that can be debugged at 3 AM, not just demoed at 10 AM.
Three languages, each in its element.
A clear statement of how we think about systems, tools, and long-term reliability.
End-to-end platform engineering for physical data systems.
Ingestion, normalization, storage, and distribution of device data. Cloud systems designed to handle physical signals at scale.
Interfaces that let device data participate in modern software ecosystems. REST, events, webhooks; whatever the workflow demands.
Rules, triggers, and pipelines that turn raw data into automated responses. From alerting to full process automation.
Grafana, custom dashboards, control panels. Interfaces built to surface operational data, not to impress in a demo.
Cloud-native deployments designed to be monitored, maintained, and evolved. Not just architecture, ongoing operation.
Architecture reviews, system design, integration strategy. Direct advice on making physical systems speak modern software.
If your physical systems need to speak the language of modern software, we should talk.