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Medical Device Software
Development Services

We engineer safety-critical software for regulated medical devices where failure is not an option. Our
work spans embedded firmware, real-time operating systems, secure data pipelines, and clinical
interfaces, all developed under IEC 62304 and ISO 13485-aligned processes.

TRUSTED BY CONGLOMERATES, ENTERPRISES AND STARTUPS ALIKE

We design intelligent, safety-aware systems that function reliably within regulated clinical and device environments. Each system is engineered to support real-time decision workflows, preserve deterministic control, and evolve safely under strict validation and audit requirements like FDA 21 CFR Part 11 and ISO 13485.

Our Core Capabilities:

  • Embedded intelligence within device software and control layers to support monitored, real-time decisioning
  • Secure cloud and edge deployments with validated CI/CD pipelines, telemetry, and system observability
  • Controlled learning mechanisms that adapt to real-world conditions without compromising safety or predictability
  • Compliance-aligned architectures with built-in traceability, audit logging, and explainability
  • Intelligent coordination layers that process complex data and surface next-best actions for clinical and operations teams
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HIPAA Compliant
GDPR

With over a decade of hands-on experience in digital
engineering, our work is backed by measurable outcomes

500+

Digital Health Platforms Delivered

450+

Healthcare Clients Served

10+

Years in HealthTech Projects

300+

Connected Medical Devices Integrated

99.90%

Uptime for Critical Systems

45%

Operational Efficiency Gains in Hospitals

Economic Times Award
Deloitte Award
Entrepreneur App of the Year Award
TET Award
Business Award - Tech Company of the Year
Economic Times Award
Deloitte Award
Entrepreneur App of the Year Award
TET Award
Business Award - Tech Company of the Year

Our Enterprise-Grade Medical Device Software Development Services

Our custom medical device software development services support regulated products from early design through long-term operation. We focus on safety, validation readiness, and system stability across clinical and commercial environments.

Our Services

[1] Medical Device Software Consulting
[2] Embedded Software for Medical Devices
[3] Software as a Medical Device (SaMD)
[4] Custom Software for Medical Devices
[5] IoT-Based Medical Device Tracking
[6] Medical Device Software Integration
[7] Maintenance & Support
01
Medical Device Software Consulting

Medical Device Software Consulting

We help teams define how software fits into a medical device, clarifying intended use, clinical context, and regulatory impact early so development starts with fewer assumptions and fewer downstream corrections.

• Regulatory and technical assessment:

Review intended use, software scope, risk exposure, and how regulators are likely to interpret system behavior.

• Software planning and direction:

Define realistic development paths aligned with compliance efforts, validation scope, and long-term product timelines.

02
Embedded Software for Medical Devices

Embedded Software for Medical Devices

We build embedded software that runs close to the hardware and behaves predictably over long periods, with timing, control logic, and failure handling treated as core design concerns.

• Device-level control software:

Develop embedded logic aligned with safety classes, timing constraints, and real-world operating conditions.

• Hardware-aware development:

Build software shaped by sensors, processors, memory limits, and physical device constraints.

03
Software as a Medical Device (SaMD)

Software as a Medical Device (SaMD)

Our experts develop stand-alone medical software or SaMD systems under formal design controls, with risk management and verification planned from the start to support regulatory review and clinical accountability.

• SaMD development under regulation:

Structure software to meet FDA, EU MDR, and other international regulation expectations from early architectural decisions.

• Planned validation paths:

Map risk management and verification activities alongside functional development work.

04
Custom Software for Medical Devices

Custom Software for Medical Devices

We design custom medical device software tailored to specific clinical workflows and device behavior, while keeping future changes manageable under regulatory constraints.

• Purpose-built device software:

Build software aligned with real clinical use, device intent, and operational context.

• Long-term adaptability:

Design systems that support updates and extensions without reopening core compliance work.

05
IoT-Based Medical Device Tracking

IoT-Based Medical Device Tracking

We develop connected device software that supports monitoring and data exchange without introducing instability, security gaps, or uncontrolled behavior across environments.

• Remote device visibility:

Provide insight into device status, usage patterns, and operational signals over time.

• Controlled data movement:

Support secure, reliable data exchange across devices, platforms, and care systems.

06
Medical Device Software Integration

Medical Device Software Integration

We integrate medical device software with hardware, platforms, and external systems in controlled steps, focusing on timing, data accuracy, and failure handling.

• System and device integration:

Connect software with devices, sensors, and platforms using structured, testable approaches.

• Interoperability support:

Integrate with clinical, enterprise, and third-party systems without disrupting compliance.

07
Maintenance & Support

Maintenance & Support

We support medical device software after release through controlled updates, careful fixes, and ongoing monitoring to maintain stability and compliance.

• Governed updates:

Introduce software changes with validation impact, traceability, and risk review in place.

• Operational support:

Monitor live systems, resolve issues, and support stable operation post-deployment.

Plan Medical Device Software
Costs Without Guesswork

Estimates built around safety class, integration complexity, and
compliance workload, not generic assumptions.

Healthcare Platforms We’ve Built That Deliver Real Outcomes

Our experience in healthcare extends beyond devices into full-scale digital platforms used by patients, providers, and care teams every day. These projects show how our healthcare software development services have improved care delivery and simplified workflows within regulated environments over the years.

What Enterprises Share About Their
Experience With Appinventiv

Manish Chhabra
Manish Chhabra
CEO, ShifaCare
Daniel Yasoshima
Daniel Yasoshima
CEO, YouCOMM
Bat-Erdene A.

Manager, IT Division, TokiApp

Industries that Can Leverage Our Medical Device Software
Development Services

As a medical device software development firm, we support organizations that depend on regulated, high-reliability software to power connected medical technologies. Our services are used across clinical, home, and research environments where safety, accuracy, and compliance are critical.
[ 1 ]

Hospitals and Health Systems

Clinical device control and monitoring platforms
Medical imaging and diagnostic software systems
Real-time vitals and alert management software
Integration layers for EMR/EHR and hospital infrastructure
[ 2 ]

Medical Device Manufacturers and OEMs

Embedded device firmware and control software
Companion platforms for connected medical devices
Device configuration and calibration software
Medical device interoperability platforms
[ 3 ]

Home Healthcare and Remote Care Providers

Home-use medical device applications
Clinician dashboards for remote oversight
Secure data transmission and alert systems
[ 4 ]

Wearables and Consumer Health Technology Companies

On-body device software for vitals tracking
Sensor data processing and analytics platforms
Battery-efficient embedded software
Companion mobile health applications
[ 5 ]

Digital Health and SaMD Companies

Stand-alone clinical software platforms
Diagnostic and monitoring SaMD systems
Clinical decision support software
AI-driven medical device software
[ 6 ]

Medical Imaging and Diagnostics Providers

Image acquisition and visualization software
Diagnostic data processing platforms
PACS and RIS integration software
Signal and image analysis systems
[ 7 ]

Pharmaceutical and Life Sciences Organizations

Software for connected drug delivery platforms
Clinical trial device data management systems
Patient therapy and adherence software
Secure research data aggregation platforms
[ 8 ]

Research Institutions and Healthcare Innovators

Clinical data collection software platforms
Integration software for research devices
Secure data sharing and collaboration systems
Validation-ready software foundations

Build Software Your Medical Devices
Can Rely On

We engineer regulated, safety-critical software that holds up
in clinical use and regulatory review.

Medical Device Software Integration and Interoperability

Modern healthcare depends on connected systems, not isolated tools. Our custom medical device software development services are backed by medical device integration and interoperability, enabling secure data exchange between devices, clinical platforms, and enterprise healthcare systems.
EMR and EHR System Integration
[ 01 ]

Integration with EMR/EHR software that synchronizes medical device data directly with electronic medical records, ensuring patient profiles reflect real-time readings, trends, and clinically relevant changes.

EMR and EHR System Integration
Hospital Management and Smart Facility Platforms
[ 02 ]

Device integration layers that connect medical devices to hospital management systems, supporting automation, centralized control, and coordinated device operations across departments.

Hospital Management and Smart Facility Platforms
Pharmacy and Medication Management Systems
[ 03 ]

Software integrations that link medical device data with pharmacy management platforms, enabling medication dispatch, therapy tracking, and safeguards against adverse interactions.

Pharmacy and Medication Management Systems
Telehealth and Virtual Care Systems
[ 04 ]

Integration frameworks that allow medical devices to support remote examinations, diagnostics, and treatment validation within telehealth EHR platforms.

Telehealth and Virtual Care Systems
Analytics and Clinical Intelligence Platforms
[ 05 ]

Medical device software integrations that feed structured device data into analytics systems, enabling reporting, clinical insights, and operational visibility across care networks.

Analytics and Clinical Intelligence Platforms

Compliance and Security Standards Followed Across Our Medical Device Software Services

As a medical device software development firm, we design regulated systems that must pass audits, protect patient data, and remain stable throughout their lifecycle. Our approach to healthcare compliance is embedded directly into engineering workflows, making it easier for healthcare organizations to deploy, scale, and maintain software with confidence.
IEC 62304

IEC 62304

ISO 13485

ISO 13485

ISO 14971

ISO 14971

FDA Software Guidance

FDA Software Guidance

GDPR

GDPR

PDPL

PDPL

ISO/IEC 27001

ISO/IEC 27001

SOC 2

SOC 2

OWASP Top 10

OWASP Top 10

IEC 62366

IEC 62366

Why Appinventiv Is a Trusted Custom Medical Device Software Development Company

Our experts at Appinventiv go beyond delivering functional software. We build regulated, safety-critical systems that perform reliably in clinical environments, hold up under regulatory review, and scale across product lifecycles.
01

Software Engineered for Clinical and Regulatory Reality

From embedded control logic to companion platforms, every build is structured for traceability, validation, and controlled change. This approach allows our medical device software solutions and services to remain defensible during audits and dependable during long-term clinical use.

02

Compliance Embedded at the Architecture Level

Unlike teams that retrofit compliance late, we embed regulatory controls directly into system design. Software is developed with clear safety classifications, documented risk controls, and verification paths aligned with IEC 62304, FDA Class I, II, & III expectations, and MDR requirements.

03

Platforms Built to Scale Across Devices and Markets

Our experience as a medical device software company spans single-device programs to multi-region product portfolios. We architect platforms that support device variants, regional compliance needs, and future extensions without rework.

Build Medical Device Software That
Survives the Numbers

Designed to handle

IEC 62304

safety classes and audit trails

24×7

clinical uptime expectations

Multi-year

lifecycle updates without regression

Industry Recognition Reflecting Our Engineering Standards

Appinventiv has been recognized by independent industry bodies for its work in digital engineering and technology delivery. These acknowledgements reflect consistent focus on secure, scalable systems and measurable business outcomes.

Advanced Technologies We Put to Work in Medical Device Software Development

Medical device software has very different demands compared to general healthcare platforms. The technologies we use are chosen based on safety, reliability, and how the software behaves in real clinical conditions. Below is how specific technologies are applied when building and supporting medical device software.
[ 1 ]

Artificial Intelligence

AI is used selectively within medical device software, including assisting clinicians with prioritization, flagging patterns in device data, and reducing manual review work.

[ 2 ]

Generative AI

Typical uses of Gen AI include assisting with report drafting, summarizing device output, or supporting internal review and documentation workflows without affecting device behavior.

[ 3 ]

Machine Learning

Machine learning models are used where prediction or pattern recognition adds value, such as identifying early risk signals or tracking trends over time.

[ 4 ]

Blockchain

In medical device contexts, blockchain is used to maintain access logs, track data provenance, and enable secure data exchange across organizations.

[ 5 ]

Data Analytics

Analytics layers sit on top of device data to make large volumes of readings usable. Dashboards and reports are designed to help teams understand trends, performance, and anomalies.

[ 6 ]

Augmented Reality and Virtual Reality

In device-related software, AR and VR often supports procedural training, rehabilitation programs, or assisted setup and calibration tasks.

[ 7 ]

Internet of Things

IoT technologies connect devices to monitoring platforms so that the data can be collected continuously and reviewed remotely.

[ 8 ]

Wearable Technology

Software built for wearables focuses on filtering noise, managing battery constraints, and presenting information to support timely action.

[ 9 ]

Internet of Medical Things

IoMT platforms layer handles coordination, visibility, and basic management so that teams can work with many connected devices without managing each one separately.

[ 10 ]

Computer Vision

Computer vision is applied to image-heavy workflows such as scans, device visuals, or recorded procedures to assist with classification, labeling, or highlighting areas of interest.

[ 11 ]

Cloud

Cloud infrastructure supports storage, remote access, and collaboration around medical device data, emphasizing security and controlled access.

Technology Stack Behind Our Medical Device Software Engineering

The reliability of medical device software depends heavily on the technology choices made early in development. At our medical device software development company, we select frameworks, platforms, and tools that support safety-critical execution, long-term maintainability, and regulatory alignment.
Embedded and Device Software
C
C
C++
C++
Embedded Linux
Embedded Linux
FreeRTOS
FreeRTOS
Zephyr
Zephyr
ARM Cortex
ARM Cortex
Device Drivers
Device Drivers
RTOS Toolchains
RTOS Toolchains
Frontend and User Interfaces
React
React
Angular
Angular
Flutter
Flutter
SWIFT
SWIFT
Kotlin
Kotlin
Qt
Qt
Web Based Clinical Portals
Web Based Clinical Portals
Backend and Application Services
Java
Java
.NET
.NET
Node.JS
Node.JS
Python
Python
REST APIs
REST APIs
GraphQL
GraphQL
Microservices Architecture
Microservices Architecture
Cloud and Infrastructure
AWS
AWS
Microsoft Azure
Microsoft Azure
Google Cloud
Google Cloud
Docker
Docker
Kubernetes
Kubernetes
Terraform
Terraform
Infrastructure as Code
Infrastructure as Code
Data and Analytics
SQL Databases
SQL Databases
NoSQL Databases
NoSQL Databases
Time-Series Databases
Time-Series Databases
ETL Pipelines
ETL Pipelines
Real-Time Monitoring Tools
Real-Time Monitoring Tools
Security and Compliance
HIPAA
HIPAA
HITECH
HITECH
UK GDPR
UK GDPR
PDPL
PDPL
NIST CSF
NIST CSF
ISO 13485
ISO 13485
FDA Guidance
FDA Guidance
EU MDR
EU MDR
IEC 62304
IEC 62304
ISO 14971
ISO 14971
GDPR
GDPR
SOC 2
SOC 2
ISO/IEC 27001
ISO/IEC 27001
OWASP Top 10
OWASP Top 10

Stop Treating AI as an Add-On,
Engineer It Into a Robust Medical
Software

At Appinventiv, we engineer AI-driven medical device software development, supporting safety, traceability, and clinical reliability from the first design decision.
AI-enabled medical device platforms for embedded systems and SaMD
AI-assisted clinical decision logic with governed outputs
AI-augmented validation and quality controls for regulated delivery

Addressing Real-World Challenges in Medical Device Software Development

Medical programs fail when software is treated like a normal product build. A reliable medical device software company has to deliver safety, documentation, and repeatable quality as part of day-to-day engineering. Our end-to-end medical device software development model is built to keep releases moving while staying defensible in audits and reviews.

Our Agile Medical Device Software Development Process

Developing software for medical devices requires disciplined execution, regulatory awareness, and long-term thinking. Being a reliable custom medical device software development company, our process is built to support safe operation, predictable reviews, and controlled evolution across the product lifecycle.

Consulting and Use Case Definition

We begin by understanding the medical device itself, its intended use, and the environments it operates in. We define what the software controls, what it supports, and how data flows across the system. This phase establishes scope, safety expectations, and regulatory boundaries early, preventing drift and rework later in development.

Technology and Architecture Planning

We design around constraints, not tools. Hardware limits, safety classes, update paths, and product lifespan guide every architectural choice. Whether embedded software, a companion application, or backend services, each decision is made to support validation, predictability, and controlled change over time.

Prototype Building and Testing

Before committing to full builds, we prototype the parts that matter most. Device communication, timing, data handling, and user actions are tested hands-on, not just reviewed on paper. Our medical device software developers use this phase to catch real-world issues early, which reduces risk later in custom medical device software development services.

Integration and Deployment

Integration is handled as a disciplined phase. Software is connected to hardware, sensors, and external systems in measured steps. We verify timing, data consistency, and failure handling to ensure deployments remain stable, compliant, and free from unintended system behavior.

Monitoring, Feedback, and Iteration

After release, we focus on stability and control. Software behavior is monitored in real use, updates are introduced through governed processes, and every change is assessed for impact. This ensures medical device software remains reliable, compliant, and sustainable throughout its operational life.

Frequently Asked Questions

[ 1 ]

What technologies do you use for medical device software engineering?

There isn’t a fixed stack for medical device software engineering because the software behaves very differently depending on what the device does and where it runs.

  • For embedded and device-level software, we mostly work with C, C++, Embedded Linux, and RTOS setups where timing and deterministic behavior matter
  • On the backend side, Java, .NET, Python, and Node.js are common when building medical device software solutions that need to stay stable for years
  • For interfaces, React, Flutter, Swift, and Kotlin are used in medical device apps meant for clinicians or patients
  • When cloud components are involved, Google Cloud, AWS or Azure is used carefully, usually for monitoring or data sync
  • Across everything, security basics like encryption, access control, and audit logs sit underneath regulated medical device software development services
[ 2 ]

How much does it cost to develop software for medical devices?

Cost is mostly shaped by safety class and validation effort, not by how fast code gets written.

  • Basic medical device software or low-risk systems usually land between $60,000 and $120,000
  • SaMD products and mid-level platforms often fall in the $120,000 to $300,000 range once verification and documentation are included
  • Safety-critical or multi-device systems can cross $300,000 and go beyond $600,000 when audits, integrations, and controls expand
  • The biggest cost factors are IEC 62304 safety classification, FDA or MDR scope, and medical device integration and interoperability needs
  • Ongoing costs don't disappear after launch. Post-market updates and controlled changes are part of custom medical device software solutions development.

Our experts can offer you exact cost estimates based on your custom business requirements. Get in touch with our team now!

[ 3 ]

Do we need to have a real device for SaMD software development?

No physical device is required for SaMD, but the software still has to be treated like a regulated product from day one.

  • Intended medical use has to be clear early because it sets the regulatory path
  • Input data can come from simulations, historical datasets, or controlled clinical data at the start
  • Verification work can begin before deployment, especially for logic and data handling

From a regulatory view, SaMD follows the same discipline as other medical device software and life cycle planning still applies. As a medical device app development services provider, we help teams define intended use, validation scope, and regulatory-ready workflows even before hardware or live deployments exist.

[ 4 ]

How long does it take to develop a medical device?

There’s no single timeline, but most medical device software programs fall into a familiar range when things are scoped properly.

  • Early discovery and architecture usually take about 4 to 8 weeks
  • Development and verification often run 3 to 6 months, depending on complexity
  • Validation and integration can add another 2 to 4 months, especially if hardware is involved

In practice, full software development for medical devices typically spans 6 to 12 months, including SaMD programs. Timelines stretch when requirements keep changing or regulatory prep starts late.

[ 5 ]

What are some examples of software used in medical devices?

Medical device software shows up in more places than people expect once you look beyond firmware.

  • Embedded control software that runs directly on the device hardware
  • Companion applications that sit on phones or desktops and talk to the device
  • Clinical dashboards used by healthcare teams to review readings and trends
  • SaMD platforms that work independently for diagnosis or monitoring
  • Integration layers built for medical device interoperability with hospital systems

Being a renowned medical device app development company, we work across all these layers, helping teams design, build, and maintain regulated software that stays reliable from device operation through clinical use and long-term lifecycle updates.

[ 6 ]

What experience does your team have with FDA regulatory submissions for medical devices?

FDA expectations are handled as part of everyday engineering work, not as paperwork added at the end.

  • Design controls are followed during development, not retrofitted later
  • Engineering outputs feed directly into DHF, risk files, and verification records
  • Traceability is maintained between requirements, code changes, and tests
  • Experience across all FDA device classes (Class I- low risk, Class II- moderate risk, Class III- high risk), applying the appropriate level of oversight and controls for each.
  • Teams usually work alongside in-house regulatory and quality groups

This applies across all custom medical device software and SaMD programs.

[ 7 ]

How do we validate AI or ML components in a medical device under FDA expectations?

FDA validation is about keeping behavior bounded and understandable, not about chasing perfect accuracy scores.

  • Intended use is defined tightly, so the AI component has clear limits
  • Training, testing, and validation datasets are controlled and versioned
  • Performance boundaries and failure behavior are documented early
  • Any model update goes through a change impact review before release

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