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A remote-first startup dedicated to workplace engagement approached Oodles for a privacy-first check-in solution within Slack. The client sought a scale-ready MVP that allowed employees to share responses privately through DM prompts while generating a single, identical weekly summary for the entire company. Oodles developed a Slack-native application that combined simplicity, transparency, and scalability.
The project addressed the challenge of fostering open communication while protecting individual privacy. The client sought Oodles for a Slack-integrated tool to conduct weekly check-ins, publish uniform summaries, and provide clear “who can see what” transparency. Oodles designed a solution encompassing DM workflows, company-wide reporting, data minimization, and deployment setup, ensuring trust-driven engagement and long-term adaptability.
To meet the client’s requirements, Oodles built a privacy-first MVP using Slack’s API and a modular backend architecture. The tool was designed to minimize stored data, enforce strict access controls, and present audit logs for user-visible actions. A flexible structure enabled the solution to scale into new channels or integrate optional AI features in the future without major rework.
Key Features Implemented

Wellsite™ serves oil and gas operators and service companies, streamlining oilfield operations through automation, application integration and collaboration ac
Technologies Involved:
Angular
+5 more
Area of Expertise:
Machine Learning
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Neuron Cyber Security, a Georgia-based AI solutions provider in surveillance tech, approached Oodles to refine their existing neural network model aimed at improving
Technologies Involved:
Python
Area of Expertise:
Machine Learning

A US-based software solutions provider, known for enabling digital transformation across legacy systems, partnered with Oodles to modernize a time-sensitive client-s
Technologies Involved:
Python
Area of Expertise:
Machine Learning

Cardiac conditions often go undetected due to limitations in traditional monitoring systems. Biocalculus aimed to become a next-generation cardiac monitoring ecosyst
Technologies Involved:
Android Studio
+7 more
Area of Expertise:
Machine Learning
+4 more