Hardening a Cloud SaaS for Secure, Scalable Production
A modern application has a frustrating duality. It can be "in production" for months - accepting users, returning data, looking healthy on every dashboard - while still being genuinely unsafe to scale or trust with anything important.
This gap - between deployed and production-ready - is invisible to most people outside engineering.
Ephemeral Environments, Durable Cloud Architecture
Most solutions are part code, part configuration. The code lives in a repository, under source control. The configuration - databases, queues, secret stores, role assignments, network rules - lives in the cloud, clicked into place over time.
SoftAtomic ships its solutions with the environment completely defined in source control. The two halves of the system - code and configuration - become a single source-controlled artifact.
Building an Intelligent, Configurable Data Classification Platform
The world is a messy place - sensors and inputs are noisy, people make mistakes, descriptions can differ wildly and still mean the same thing. For teams building on top of AI, the challenge isn't getting a model to produce an answer - it’s knowing what do with it, and how much to trust it. Model outputs are rarely definitive - they're signals.
Building an Enterprise AI Knowledge Assistant
For most enterprise use cases, you don't need to train a model. You need a model that knows about your company. And if you're already running Microsoft 365, you're a lot closer than you think.
Building a Configurable Patient Triage Platform
What if the power to adapt triage rules lived closer to the medical experts, clinical researchers, and administrators without needing full software development cycles?