Retail & Consumer
AI can genuinely improve retail: demand forecasting that keeps inventory honest, personalization that respects what a customer actually opted into, and customer service that scales without feeling automated.


Retail carries real, well-documented AI risk: customer data handling, payment card obligations, and personalization systems that can easily overreach what a customer consented to. Where the need is a single, well-scoped AI tool on a platform already in place, a fast, fixed-scope configuration under Katalyst Launchpad™ can fit well. Where payment data or broader customer-data governance is involved, that typically calls for the fuller architecture of a custom-engineered approach under Katalyst Custom™.
In terms of project management, I thought they did a fantastic job. There were several times when we reached out with a wide range of requests or questions, and they got back to us with answers pretty quickly. The whole speed of the project was good.

Packages sit on doorsteps, where they get stolen and rained on. Solving that is not one problem but three: an enclosure that survives weather and tampering, a mobile experience that announces a delivery and opens the box, and a commerce and fulfillment flow behind both.
A weather-resistant IoT smart receptacle with device control and real-time delivery notifications through a cross-platform mobile app, on a serverless backend connected to the e-commerce and fulfillment flow. The hardware, the app, and the purchase path were built as one system, which is the difference between a connected product and a box with a sensor in it.
Blockchain-secured smartphone operating system

Credit card numbers, passwords, messages, location: everything a phone holds passes through the operating system, and operating-system vulnerabilities are the ones a user can neither see nor patch. Security added above that layer inherits whatever weaknesses sit beneath it.
A blockchain-based phone operating system built with security and privacy as the operating premise rather than a settings menu, delivered with the full e-commerce build-out behind the product. Working at the OS layer meant the security model could be designed into how the device handles identity, keys, and data instead of bolted onto an existing platform.

