Engineering That Scales.
Security That Holds.
From the Last Frontier.

Machine learning in production is a different beast than machine learning in a notebook. We bring academic rigor—Imperial College, Stanford ML certification, published research—combined with years of shipping ML systems that actually work. Our deployments span federal environments with stringent security and compliance requirements, AAA game studios where AI behaviors ship to millions of players, and consumer apps live in the App Store. Whether it's a distributed anomaly detection system presented at ACITA or a reinforcement-learning-tuned search architecture handling national-security workloads, we've done the hard work of taking models from prototype to production at scale.

Our approach to AI systems blends deterministic reliability with probabilistic intelligence. We've designed hybrid search architectures combining trigram matching with RL-tuned ranking, built TensorFlow object detection pipelines for environmental conservation, and shipped segmentation models that identify mountain peaks from GPS coordinates. From procedural content generation and believable AI behaviors in AAA titles to ML infrastructure at Apple—training pipelines, model registries, serving systems—we understand the full lifecycle of AI in production.

We don't just consult on mobile development—we build and ship our own apps as a team. Cheechako, LaunchLogic are Cloud Gatherer Labs LLC products—built natively for iOS using Swift and SwiftUI by both partners, tested in Alaska's backcountry, and live in the App Store with real users.

Cheechako runs a custom segmentation model on-device to identify mountain peaks in real time—no network required, no cloud round-trip, just GPS and ML working together in environments where cell service doesn't exist. LaunchLogic handles precision rocketry calculations in the field, where getting the math wrong means losing hardware. These aren't portfolio pieces; they're tools we built because we needed them, hardened against cold, altitude, and the kind of edge cases you only discover when you're actually out there using them. One partner brings seven years of Apple platform expertise and enterprise iOS deployment at scale (14,000+ devices via Jamf and MDM). The other brings iOS development experience from cloud data warehousing applications, plus the hobby electronics background—Raspberry Pi, Arduino—that bridges software and hardware integration. Together, we cover the full stack from Core ML model deployment to App Store submission.

Technical strategy without implementation experience is just speculation. We've sat in the rooms where investment decisions get made, partnering with executive leadership to evaluate opportunities, quantify trade-offs, and build the business cases that justify engineering spend. Our recommendations come with cost-benefit analyses, decision frameworks, and working proof-of-concepts—not just slide decks.

Architecture consulting is about understanding constraints as much as possibilities. We'll evaluate your current systems honestly, identify the technical debt that's actually costing you versus the debt that can wait, and help you sequence improvements that deliver value continuously rather than betting everything on a big-bang rewrite.