Bring AI Medical Devices to Market at the Speed of Software

Break free from the MedTech “Innovation Trap” without compromising safety-critical rigor.

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.

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Trusted by venture-backed startups to large medical device companies

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Turn Compliance Into Your Speed-to-Market Advantage

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.

Advanced AI Engineering

Production-ready model deployment for SaMD and connected care ecosystems.

Regulatory-First Software Depth

Decades of experience building class II/III regulated software across the entire product lifecycle.

Design Controls

Mitigate “black box” risks with continuous traceability, proactive risk mitigation, and automated V&V.

Data Governance

Robust, secure data pipelines built to prevent data drift, bias, and security vulnerabilities.

AI-Accelerated Compliance

Leverage multi-agent AI workflows to slash manual documentation timelines and catch architectural gaps early.

Agile Quality Systems

Modern DevOps and CI/CD practices adapted specifically to satisfy FDA, ISO 13485, and IEC 62304 requirements.

Why Orthogonal

Where Deep AI Engineering Meets Uncompromising MedTech Rigor

“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” Larkin Lowrey, Senior Director of Software Engineering for Digital Health, Tandem Diabetes Larkin Lowrey Senior Director of Software Engineering, Tandem Diabetes Care

Escaping the MedTech “Innovation Trap”

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.

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In-Product AI

Deploy Agentic AI and Generative Features with Clear Software Guardrails

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.

AI/ML-Enabled SaMD & Connected Devices

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.

AI:ML Enabled SaMD & Connected Devices

Generative AI & Agentic 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.

Generative AI & Agentic Workflows

AI Data, Infrastructure & Lifecycle Foundations

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.

AI Data, Infrastructure & Lifecycle Foundations

The AI Factory: Your Competitve Advantage

Shift from One-Off Experiments to a Regulatory-First Engineering Model

Have an AI capability you need to productize?

Ensure Traceability and Mitigate “Black Box” Risk

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.

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Design for Post-Market Change, Not Just Initial Launch

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.

Product Evolution

Build & Scale AI Medical Software with Confidence

Partner with us to bring generative AI, machine learning, and automation to market without compromising MedTech rigor.

Frequently Asked Questions

1. How do we manage “black box” risk and explainability with Generative AI in a regulated medical device?

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.

2. Can we genuinely apply Agile methodologies to an FDA-regulated environment for AI development?

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.

3. How does the “AI Factory” pattern align with FDA guidance on Predetermined Change Control Plans (PCCP)?

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.

AI-Accelerated Compliance: Operational Transformation

We Use AI to Speed Up Your Regulated Development Lifecycle by 2-3x

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.

Requirements & Design Controls

AI-assisted consistency checks, drafting, and linkage.

Risk & Quality Analysis

AI-supported gap detection, risk artifact drafting, and review.

Development & Architecture

AI-assisted implementation, architecture exploration, and technical documentation.

Testing & Test Automation

AI-supported BDD scenarios, test creation, regression coverage, and automation.

Traceability & Evidence

AI-assisted mapping across requirements, risks, tests, and documentation.

Case Studies

Case Study

Continuous ECG Monitoring with Nanosensors

Case Study

PhysIQ: Ambulatory Patient Monitoring

Build and Evolve AI-Enabled Medical Device Software with Confidence

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.