MedTechh

Most medical devices don't fail because of a bad idea. They fail because system-level problems surface too late to fix cleanly.

Signal variability, integration breakdowns, and manufacturing drift are usually present long before a team sees them. They rarely show up in early testing. They surface in validation, when the design is locked, the timeline is tight, and every change is expensive.

A working prototype is not the same as a system that holds up across real users, environments, and production constraints. We focus on finding those gaps early, while there is still time to address them cleanly.

We have been doing this work for 25 years, helping MedTech teams move from promising concepts to systems that perform reliably in validation, production, and the field.

Capabilities

We prioritize what most directly drives real-world performance, and engineer robust solutions that hold up from development to production.

Data Capture & System Performance

Reliable device behavior starts with how signals are captured, processed, & interpreted across the full system.

Sensor selection and integration across electrical, optical, and chemical domains
Analog front-end and signal chain design
Data acquisition and processing architecture
Noise, interference, and variability management
Calibration and test strategies aligned with real-world use

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Connected Systems & Data Integrity

Medical devices increasingly rely on connected architectures and secure data handling.

Embedded and cloud-connected system design
Data pipelines from acquisition through storage and analysis
Integration with mobile and external systems
Cybersecurity considerations that include device risk and use Wifi and Bluetooth enabled systems

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Wearables & Patient Monitoring

Devices must maintain performance under motion, environmental exposure, and day-to-day use.

The miniaturization of integrated mechanical, electrical, and firmware development
Ruggedization for shock, vibration, and environmental conditions
Power systems and battery constraints
Human factors and usability considerations

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Imaging & Diagnostic Platforms

System-level performance directly impacts data quality and clinical outcomes.

Optical and imaging system development
Electrochemical and biomarker detection systems
System integration and performance optimization
Test methods supporting validation and clinical use

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Early Concept & Quick Prototyping

Building the prototype you need to move to the next milestone.

Rapid prototype systems for feasability, pre-clinical work, and data collection.
Platforms for algorithm development and AI/ML training
"Looks like" build for investors
Industrial design, rendering, and workflow illustrations

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Full Productization & Scale

We support both rapid iteration and structured delivery.

Design for manufacturability and scale
Design and engineer a looks and works like prototype
Verification and validation planning and execution
Low-volume builds for preclinical and clinical use
Transition to contract manufacturing

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Rigor and speed, from one team

In complex medical devices, performance breaks down at the intersections that are hard to see early and expensive to fix late.

Rigorous when it matters

Structured design controls and QMS alignment for regulatory-stage programs.

Speed under pressure

Rapid iteration and early feasibility builds outside of formal controls and pathways.

Program ownership, not a lane

Handoffs are where programs lose ground. We stay engaged from prototype to production.

Built for regulated reality

Documentation that reflects real system behavior, traceability from requirements through design to validation, and decisions that hold up under technical and regulatory review, aligned to standards such as ISO 13485.

Tyler Smith

Co-CEO

“Each of the staff I’ve worked with from AC has been very professional and add high value to their work streams. I appreciate that AC has its own structure and support independent of our company.”