Orthogonal bridges the gap between rapid AI advancement and strict compliance. We embed advanced AI engineering directly into rigorous design controls, helping you transform intelligent prototypes into cleared, revenue-generating medical devices.
When data scientists don’t understand design controls, and traditional QA teams don’t understand machine learning, projects stall. We bring these disciplines together under a single, unified engineering model.
“Applying modern engineering techniques to the development of SaMD is no easy feat. Orthogonal’s approach to blending these domains helped Tandem accelerate our product innovation cycle and outputs”
A working AI prototype is only a sandbox victory. Moving to a cleared product often stalls over “black box” regulatory friction.
Orthogonal bridges this gap, transforming AI models into compliant, market-ready medical software.
An algorithm should not be treated as an isolated feature or an unpredictable black box. We design the entire supporting ecosystem, including user experience, data pipelines, cloud or edge architecture, and risk boundaries, to keep your product safe and compliant.
We help clients build AI-enabled medical device software for intelligent monitoring, predictive analytics, clinical decision support, signal processing, personalization, and data-driven patient or clinician workflows.
We help MedTech teams explore and develop generative AI, LLM-powered, and agentic experiences within medical device software. We define intended use, user workflows, data boundaries, safety constraints, and product requirements before the capability reaches users.
We help establish the infrastructure that guarantees your models perform reliably under real-world conditions, giving you total visibility into data quality and system health.
Innovation shouldn’t bypass your Quality Management System (QMS), it should be accelerated by it. Orthogonal embeds design controls directly into the AI engineering workflow from day one. We proactively evaluate and mitigate the unique risks introduced by AI systems, including model drift, demographic bias, cybersecurity vulnerabilities, and human factor friction.
AI models require tuning as real-world data flows in. We architect your data pipelines, testing loops, and Predetermined Change Control Plans (PCCP) so you can update and optimize algorithms post-launch without starting regulatory submissions from scratch.
By wrapping the model in deterministic software guardrails. We enforce strict data boundaries, real-time validation agents, and runtime constraints so dynamic AI outputs always conform to the device’s defined intended use and FDA safety standards.
Yes, by decoupling rapid development cycles from formal release gates. Our automated toolchains continuously generate design controls, traceability, and test documentation as code is written—enabling true Agile velocity with continuous, auditable compliance.
The AI Factory provides the operational infrastructure a PCCP requires. It delivers the automated data pipelines, regression testing, version control, and telemetry needed to safely execute pre-approved post-market model updates without triggering new 510(k) submissions.
We do not just build AI into medical devices. Orthogonal uses specialized multi-agent AI workflows and deep automation to remove manual friction from regulated software delivery.
Case Study
Case Study
Case Study
Case Study
If you are building AI-enabled SaMD, adding generative or agentic AI to a connected medical device platform, or looking to accelerate regulated software development with AI and automation, drop us a message.