AI-Native Connected Device Intelligence for Reliable MedTech Care DeliveryAI-Native Connected Device Intelligence for Reliable MedTech Care Delivery

The client is a global MedTech company in the advanced aesthetic technologies and professional skincare industry. Its patented treatment devices and consumables are used by more than 30,000 estheticians across 90+ countries.

As a US-based, FDA-registered manufacturer of medical equipment and consumables, the client operates in a category where device reliability, supply availability, provider experience, and treatment continuity directly influence recurring revenue.

As the client’s connected device footprint expanded, operational visibility became harder to manage. Support teams lacked a unified view of device health, usage behavior, software versions, consumable demand, and location-level activity.

Providers faced interruptions due to low flow, clogs, noise, delayed service, inconsistent maintenance, and stockouts. The client needed an AI-native operating model that could turn device and treatment data into faster diagnostics, smarter replenishment, and better in-clinic guidance.

Key Challenges

The client needed to modernize device operations across a growing provider network while protecting uptime, data security, and treatment continuity.

1. Device issues were difficult to detect early, increasing downtime and field service dependency.
2. Consumable tracking was not linked to actual device usage, creating replenishment delays and stockout risks.
3. Maintenance activity, software updates, and device movement were hard to monitor across clinic locations.
4. Provider and support teams needed guided diagnostics, secure access, alerts, and remote support workflows to manage device usage safely.

The client has worked with Coditas for over five years, and the engagement continues across its connected device ecosystem. Over time, Coditas built strong context around the client’s device operations, provider network, service priorities, and reliability expectations.

The client trusted Coditas because the engagement required more than connected device engineering. It needed AI-led workflow thinking, secure cloud delivery, a regulated MedTech context, and provider experience design to come together into a single delivery model. Coditas’ experience across Multi-Agent Systems and User-Centric Design gave the client confidence to extend device intelligence into diagnostics, replenishment, support escalation, and guided in-clinic use.

We built an AI-native connected device platform that turned telemetry, usage history, treatment context, inventory signals, and service events into actionable intelligence for support teams and providers.

AI-led workflows helped teams detect early performance issues, guide diagnostics, prioritize support actions, and trigger replenishment based on real usage patterns. Secure access controls, remote diagnostics, operational dashboards, and an AWS-based data foundation supported reporting, analytics, and service planning at scale.

An AI agent supported providers during treatment by reviewing past treatment history, assisting skin assessment through the device camera, suggesting treatment plans, capturing session summaries, guiding self-diagnostics, creating support tickets, and supporting product recommendations after treatment.

Technologies

Java, Flutter, React, AWS IoT Core, Amazon Kinesis, Amazon S3, AWS Lambda, AWS Glue, AWS Athena, Power BI, R, and Python

The engagement improved device reliability, service efficiency, consumable availability, provider satisfaction, and revenue performance.

• 30% increase in revenue from the client’s IoT-enabled device line
• 25% plus increase in supply sales through better usage visibility and replenishment triggers
• 60% plus reduction in field service coverage through remote diagnostics and device management
• 20% reduction in device downtime through faster monitoring and intervention
• 25% reduction in operational costs through a scalable cloud-native data platform
• Provider satisfaction improved from 3.5 to 4.8 out of 5, based on a provider survey

Connected MedTech products deliver greater business value when device telemetry, AI-led workflows, secure cloud engineering, and provider experience design work as a single system.

Coditas helped the client move from reactive device support to a connected operating model that improved visibility, service planning, supply intelligence, and treatment reliability.