We build, deploy, and manage HIPAA-compliant AI applications for predictive diagnostics, medical imaging, and remote patient monitoring. Move from concept to compliant reality—faster.
Request A Free ConsultationThe promise of AI in healthcare is immense, but the path is littered with challenges: navigating HIPAA and FDA regulations, integrating with complex EMR systems, and ensuring clinicians actually adopt the tools.
Generic AI developers fail because they don't understand this reality.
We're different. As a CMMI Level 5 and SOC 2 certified partner, we provide an ecosystem of AI-enabled healthcare experts who specialize in one thing: delivering secure, interoperable, and clinically-integrated AI solutions.
We help you translate data into life-saving insights while reducing administrative burden, allowing you to focus on patient care, not technical debt.
We partner with ambitious startups and Fortune 500 companies to turn complex healthcare challenges into market-leading solutions. Our commitment to quality and security is reflected in every project.
We don't 'add' HIPAA compliance at the end; we build it into the foundation. Our SOC 2 and ISO 27001 certified processes ensure every line of code and piece of infrastructure adheres to the strictest data privacy and security standards, de-risking your project from day one.
A powerful AI model is useless if clinicians won't use it. We obsess over workflow integration, single sign-on, and minimizing clicks. Our goal is to create tools that feel like a natural extension of the clinician's expertise, reducing burnout and improving adoption.
With a CMMI Level 5 rating, we operate at the highest level of process optimization. This isn't just a certificate; it means predictable timelines, consistent quality, and transparent communication for you, eliminating the chaos common in software projects.
Data silos kill innovation. Our teams are fluent in healthcare data standards like HL7v2, FHIR, and DICOM. We build solutions that seamlessly connect with EMRs, labs, and other systems, creating a unified data ecosystem for your AI applications.
You don't just get a developer; you get a cross-functional Product-Oriented-Delivery (POD) team. This includes AI/ML engineers, data scientists, cloud architects, and a dedicated delivery manager, providing a complete, managed ecosystem to drive your project forward.
Our extensive library of pre-built components, mature development frameworks, and AI-augmented workflows allow us to build and deploy solutions faster than a traditional in-house or outsourced team. Get your product to market or your solution deployed while your competitors are still hiring.
It's your data and your innovation. We ensure that 100% of the intellectual property, source code, and trained models we develop for you are your assets. Our business is to build your value, not to lock you into our platform.
We stand by the quality of our 1000+ in-house professionals. In the unlikely event a team member isn't the right fit for your project, we offer a free replacement with a zero-cost knowledge transfer, ensuring your project momentum is never compromised.
Since 2007, we've successfully delivered over 3000 projects. With over 1000 full-time experts, we have the scale to handle large enterprise projects and the stability to be your long-term technology partner, from initial MVP to full-scale global deployment.
Comprehensive, HIPAA-compliant AI engineering services designed to transform healthcare delivery, improve clinical outcomes, and streamline operations.
We develop and validate custom machine learning models that analyze patient data (vitals, labs, history) to predict disease onset, patient deterioration, or treatment success. Our focus is on clinical validity, explainability (XAI), and seamless integration into care pathways.
Leverage computer vision to automate the analysis of X-rays, CT scans, MRIs, and pathology slides. Our solutions assist radiologists and pathologists by identifying anomalies, segmenting structures, and quantifying changes over time, leading to faster, more accurate diagnoses.
Build scalable, secure platforms that collect and analyze data from wearable sensors and at-home medical devices. Our AI models can detect early warning signs, alert care teams to significant events, and provide patients with real-time feedback, enabling effective chronic disease management.
Integrate intelligent, evidence-based recommendations directly into the clinical workflow. Our CDS tools analyze patient context within the EMR to suggest optimal treatment paths, flag potential drug interactions, or recommend relevant clinical trials, all while minimizing alert fatigue.
Before you can use AI, you need good data. We help you create a robust strategy for data acquisition, storage, and governance. We establish data quality frameworks and ensure your data ecosystem is secure, compliant, and ready for advanced analytics and AI.
Our experts specialize in extracting and harmonizing data from major EMR systems like Epic, Cerner, and Allscripts using HL7/FHIR standards. We transform messy, unstructured data into clean, AI-ready datasets, unlocking the value hidden in your existing systems.
Turn unstructured clinical notes, discharge summaries, and pathology reports into structured, analyzable data. Our NLP models can extract key entities like diagnoses, medications, and procedures, providing a richer, more complete picture of the patient journey.
We provide ongoing stewardship to ensure your AI solution remains compliant with evolving regulations. This includes continuous monitoring, regular risk assessments, and documentation support for audits, giving you and your customers peace of mind.
Enhance your virtual care platform with intelligent features. We can implement AI for patient triage, automated documentation, real-time transcription, and post-consultation analysis, making your telemedicine service more efficient and effective.
Accelerate the R&D lifecycle for pharma and biotech companies. We build AI platforms for target identification, molecule screening, and optimizing clinical trial design and recruitment by analyzing real-world evidence and genomic data.
Deploy secure, HIPAA-compliant generative AI applications. This includes chatbots for patient query handling, tools for summarizing patient records for clinicians, or assistants for drafting referral letters, all trained on trusted medical information.
Operationalize your machine learning models in a compliant, auditable, and scalable way. We implement MLOps pipelines for continuous training, monitoring, and re-validation of your AI models, ensuring they maintain peak performance and safety in a live clinical environment.
Train AI models on data from multiple hospitals or institutions without ever moving or centralizing the sensitive patient data. Our federated learning solutions allow for collaborative model building while preserving patient privacy and data sovereignty.
Address the challenge of limited or inaccessible training data. We use advanced techniques like Generative Adversarial Networks (GANs) to create realistic, privacy-preserving synthetic patient data that can be used to train, test, and validate your AI models.
Automate high-volume, repetitive administrative tasks in your revenue cycle, claims processing, and patient scheduling workflows. By combining RPA with AI capabilities like NLP and computer vision, we create intelligent bots that can handle complex exceptions and decisions.
Our solutions are not islands. They are engineered to be a seamless, secure, and high-performance extension of your existing IT landscape, ensuring minimal disruption and maximum interoperability.
The backbone of our AI and data engineering, enabling scalable, high-performance model training and deployment.
Secure, HIPAA-eligible cloud storage and analytics built specifically for healthcare data at scale.
Managed enterprise-grade FHIR services for seamless clinical data exchange and interoperability.
Accelerate clinical insights with advanced, secure data ingestion and analytics tools.
Deep, hands-on expertise in building App Orchard-compatible solutions for the world's leading EMR.
The global language of healthcare. We master all versions to ensure perfect data connectivity.
End-to-end open-source platform for training, validating, and deploying production-grade AI models.
Flexible research-to-production framework ideal for custom computer vision and NLP models.
Portable, secure deployments with Docker and Kubernetes for consistent performance in any environment.
Massively parallel processing for cleaning, transforming, and analyzing massive clinical datasets.
Expertise in medical image standards for pathology, radiology, and cardiology applications.
Unified data and AI platform to power your team's collaborative engineering and research.
Complete lifecycle management for your models, ensuring full auditability and regulatory compliance.
Automated, reproducible infrastructure provisioning for rock-solid security and reliability.
Accelerating medical imaging and genomics with domain-specific AI toolkits and SDKs.
Our entire process is wrapped in industry-leading compliance and data security governance.
We turn the ambiguity of AI development into a clear, manageable process. Our CMMI Level 5 methodology ensures transparency, predictability, and alignment at every stage.
We start by understanding your clinical, technical, and business goals. Our team collaborates with your stakeholders to map workflows, define KPIs, and create a detailed project roadmap with clear milestones and a compliance plan.
Working in two-week sprints, our AI-enabled POD builds and refines the solution. You get regular demos, constant feedback loops, and full visibility into our progress via tools like Jira and Teams. We focus on building a functional core first to test assumptions early.
This is where we connect the AI solution to your core systems, like the EMR. We conduct rigorous testing for functionality, security, and data accuracy. Clinical models are validated against expert-labeled data to ensure performance and safety.
We deploy the solution to a limited group of pilot users. This phase is critical for gathering real-world feedback, refining the user experience, and training your clinical champions. We measure adoption metrics and clinical impact closely.
Once the pilot is successful, we roll out the solution to the wider organization. Our MLOps framework ensures the AI models are continuously monitored, managed, and optimized for performance and compliance in a live environment.
Choosing a development partner for a healthcare application is a critical decision. Here’s how we stack up against other options.
| Factor | Developers.dev (AI PODs) | In-House Team | Freelancers / Body Shops |
|---|---|---|---|
| HIPAA & Compliance | Built-in. SOC 2, ISO 27001, CMMI 5 certified processes. | Variable. Depends entirely on talent you can hire and train. High risk. | None. You bear 100% of the compliance burden and risk. |
| Speed to Market | Fastest. Pre-built teams and frameworks accelerate development by 30-50%. | Slow. Takes 6-9 months to hire a qualified team before work even begins. | Slow & Unpredictable. High churn and lack of cohesive project management. |
| Total Cost & ROI | High Value. Lower TCO than building a US-based team. Predictable budget. | Highest Cost. Includes salaries, benefits, overhead, and management. | Appears Cheap, Ends Expensive. Hidden costs from rework, delays, and security failures. |
| Access to Expertise | Instant. Access to 1000+ experts in AI, Cloud, Data, Security, and more. | Limited. Restricted to the skills of the people you manage to hire. | Fragmented. Individual specialists with no integrated team or process. |
| Scalability & Risk | Flexible & Low Risk. Scale team up or down. Free-replacement guarantee. | Rigid & High Risk. Difficult to scale. High cost of mis-hires. | Unreliable & Highest Risk. No accountability, high churn, IP theft risk. |
See how we help organizations transform complex challenges into market-leading solutions.
CTO, CareConnect Health
"Developers.dev was the perfect partner to get our platform from a concept to a HIPAA-compliant reality. Their POD model gave us the senior talent we couldn't find or afford locally. We launched our MVP three months ahead of schedule. Unbelievable execution."
Director of Health Informatics, Lakeside Medical Center
"We tasked them with a nightmare integration project involving our 20-year-old EMR. Not only did they succeed, but the AI-powered analytics dashboard they built on top of it has given us insights we never thought possible. They are true problem solvers."
CMO, Precision Diagnostics Ltd.
"The quality of their data scientists and ML engineers is world-class. They understood the nuances of our clinical data and built a predictive model that exceeded our accuracy benchmarks. Their process maturity and documentation are second to none."
VP of Operations, SeniorCare RPM
"We needed to scale our remote monitoring platform fast. The team from Developers.dev integrated seamlessly with ours. Their expertise in cloud architecture and IoT allowed us to onboard 10,000 new patients without a hitch. They are incredibly reliable."
Founder & CEO, Mindful AI
"As a non-technical founder, I needed a partner I could trust completely. Developers.dev guided me through the entire process, from strategy to deployment. They built an amazing NLP-powered app that is secure, scalable, and most importantly, helps people."
Procurement Manager, Major Insurer
"From a procurement perspective, Developers.dev is a top-tier vendor. Their contracts are clear, their pricing is transparent, and their CMMI 5 and SOC 2 certifications simplify our vetting process immensely. They deliver on their promises, which makes my job easy."
A venture-backed startup based in Boston, MA, aimed to create a novel, AI-powered system for the early detection of sepsis in ICU patients. They had a strong clinical research team but lacked the specialized engineering and MLOps talent to build a scalable, compliant, and production-ready product for hospital deployment.
A network of three community hospitals in the Midwest, USA, was struggling with high readmission rates for patients with Congestive Heart Failure (CHF), leading to significant financial penalties under the Hospital Readmissions Reduction Program (HRRP). Their care management teams lacked the tools for continuous patient visibility after discharge.
A top-10 global pharmaceutical company was conducting a Phase II clinical trial for a new oncology drug. A key endpoint required the manual analysis and measurement of tumors from thousands of CT scans across multiple trial sites. This process was slow, expensive, and prone to inter-observer variability.
Everything you need to know about partnering with our AI-enabled healthcare experts.
Security is our top priority. We employ a multi-layered approach: 1) All data is encrypted at rest and in transit. 2) We adhere to the principle of least privilege for data access. 3) Our development process is governed by our SOC 2 and ISO 27001 certifications. 4) We conduct regular vulnerability scanning and third-party penetration testing. 5) All our employees undergo mandatory, annual HIPAA training.
We completely agree. We specialize in Explainable AI (XAI). For most models, we can provide feature importance scores (e.g., using SHAP or LIME) that show which patient variables contributed to a specific prediction. For imaging, we can generate heatmaps that highlight the area of interest the model focused on. This builds clinician trust and aids in model validation.
We have extensive experience with major EMRs like Epic, Cerner, and Allscripts. Our primary approach is to use modern, standardized APIs like FHIR whenever available. For legacy systems, we are proficient in using older standards like HL7v2 or developing custom integration layers. Our discovery process includes a deep dive into your specific EMR's capabilities to map out the most robust and efficient integration strategy.
Most engagements start with a 2-4 week discovery phase to align on goals and technical requirements. From there, we typically move to a POD model for agile development or a fixed-scope project. The best way to start is to book a free consultation. We'll discuss your needs, and if there's a potential fit, we often recommend a 2-week paid trial sprint as a low-risk next step.
You do. Our standard agreement states that 100% of the IP, source code, and data developed specifically for your project belongs to you upon full payment for the services. We are in the business of providing services, not owning your assets.
With 70% of our clients in the USA, we have perfected remote collaboration. Each project has a dedicated Delivery Manager who is your single point of contact. Our teams work with a significant overlap with US and European business hours (e.g., until 1 PM US Eastern Time). We use standard tools like Slack, MS Teams, Jira, and conduct daily stand-ups and weekly governance calls to ensure everyone is perfectly aligned.
We offer flexible, ongoing support and maintenance packages. This can range from a simple 'keep-the-lights-on' plan to a comprehensive 'Maintenance & DevOps' POD that handles not just bug fixes but also ongoing feature enhancements, cloud cost optimization, and MLOps for your AI models.
We are not a body shop. We provide a 'Product-Oriented-Delivery' (POD) ecosystem. This means you get a cross-functional, AI-enabled team—including developers, architects, QA, and delivery managers—that functions as a single, cohesive unit. You aren't managing individuals; you are managing a managed, high-performance outcome designed to ship faster.
We de-risk your partnership entirely. Our 'Free-Replacement Guarantee' ensures that if a professional isn't the right fit, we replace them at zero cost to you, including all knowledge transfer. Your project velocity remains our absolute priority, and we don't bill you for the ramp-up time of the replacement.
We are highly flexible. We often integrate with existing in-house teams to provide 'force multiplication.' Whether you need us to handle a specific sub-project, augment your existing team with specialized AI skills (e.g., MLops, NLP), or build a greenfield application from the ground up, our delivery model adapts to your specific organizational needs.
We align our engagement model with your specific business goals, timeline, and budget constraints. Whether you need a rapid MVP or a long-term enterprise partnership, we have a structure that works.
Ideal for: Startups and innovators needing to build and launch a compliant AI product quickly.
Timeline: 3–6 months
Commercials: Monthly recurring fee for the dedicated POD. Provides budget predictability.
Ideal for: Hospitals or tech companies needing to integrate AI solutions with existing EMR/EHR systems.
Timeline: Ongoing or project-based
Commercials: Time & Materials model. Billed hourly for maximum flexibility.
Ideal for: Well-defined, large-scale projects to build a complete AI healthcare platform from scratch.
Timeline: 6–18 months
Commercials: Fixed fee, tied to milestone payments. Ideal for projects with stable requirements.
Ideal for: Companies that want to validate our expertise and process before committing to a larger engagement.
Timeline: 2 weeks
Commercials: Fixed, one-time fee. A low-risk way to experience our value firsthand.