Building Trusted Technology for Healthcare

We design and build healthcare software systems that turn sensitive medical data into actionable insights while meeting the highest standards of security and compliance. From AI-powered research platforms and clinical applications to patient-facing digital services, we help healthcare organizations modernize infrastructure, accelerate innovation, and scale securely.

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Building a secure and compliant data platform for AI Research in healthcare
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Supporting the development of PhysioNet, a platform providing access to large-scale physiological and clinical data
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Developing AI-driven data management solutions that transform complex scientific information into structured assets.

Services

Services

Secure Data Platforms

AI & Machine Learning

Cloud Infrastructure & Interoperability

Clinical & Research Applications

Compliance & Governance

Custom Healthcare Software Development

Technology Ecosystem and Partnerships

Technology Ecosystem and Partnerships

Tools

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Cloud

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Security

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Upside delivered a robust, secure, and fully compliant data platform that accelerated our AI research in healthcare. Their deep expertise in both technology and regulatory requirements ensured a seamless integration with our workflows, empowering our team to innovate confidently.

January Adams

Data Governance and Quality Analyst at T-CAIREM (University of Toronto)

Solutions

Solutions

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Clinical Research Accelerator

Enable secure, compliant research at scale with governed access to multimodal medical datasets. Standardized workflows, de-identified patient data pipelines, and automated compliance monitoring help research teams collaborate across institutions while protecting privacy.

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Data Integration Platform

Connect fragmented healthcare systems - EHRs, labs, imaging, wearables, and claims - through secure, FHIR-compliant integrations. Standardized APIs and real-time data pipelines create unified, governed views of patient and operational data, enabling cross-system collaboration and powering advanced analytics.

Validate Healthcare AI in 9 Weeks with a Low-Risk Proof of Concept

Committing to a new technology partner can feel high-stakes. Our 9-week PoC gives you tangible results quickly - demonstrating technical feasibility, regulatory alignment, and clinical value before you scale.

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Week 1–2: Assess & Align

What we do: Evaluate your data landscape, identify high-value AI use cases, and design a roadmap that meets clinical, regulatory, and operational requirements.Outcome: Clear AI strategy with measurable success criteria, regulatory compliance plan, and alignment with goals.

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Week 3–7: Build & Validate

What we do: Develop a working prototype with clinical-grade validation, security safeguards, and compliance-by-design. Seamlessly integrate into existing workflows.Outcome: Functioning AI model tested against real data, with proven accuracy, safety, and privacy.

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Week 8–9: Scale & Optimize

What we do: Stress-test the PoC in real-world conditions, optimize performance, and prepare technical and regulatory documentation for scale-up.Outcome: Deployment-ready blueprint showing ROI potential, operational benefits, and a path to enterprise rollout.
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Why leading organizations choose to work with Upside

Why leading organizations choose to work with Upside

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Embedded Strategic Partnership

We collaborate with your teams and domain experts to solve the right challenges - delivering measurable outcomes, not just code.

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Deep Healthcare & Life Sciences Expertise

Experience in AI, data platforms, and secure system integration across providers, research institutions, and life sciences organizations.

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Validated Outcomes

Every engagement is designed around verifiable results - whether it’s improving data or accelerating research.

4

Regulatory and Data Fluency

We operate with a strong grasp of compliance, security, and platform governance - so you can scale responsibly.

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High-Velocity Execution, Without Compromise

We move fast while maintaining the rigor required for healthcare: scalable architectures, validated workflows, and long-term maintainability.

TECHNICAL ARTICLE

Practical Strategies for Limiting Data Egress in Healthcare AI Environments

An in-depth look at technical controls and cloud configurations that help healthcare organizations prevent sensitive data from leaving secure research platforms.Read Blog Post
Practical Strategies for Limiting Data Egress in Healthcare AI Environments

Build with confidence

Partner with experts who develop healthcare solutions that scale, integrate, and get approved.

Get In Touch

What Technical Leaders Ask Us

What Technical Leaders Ask Us

How will Upside integrate with our existing clinical systems (EHR, lab, imaging, etc.)?

How will Upside integrate with our existing clinical systems (EHR, lab, imaging, etc.)?

We design FHIR-compliant APIs and secure data pipelines to connect EHRs, lab systems, imaging platforms, and wearables. Our engineers ensure seamless interoperability without disrupting ongoing operations.

We design FHIR-compliant APIs and secure data pipelines to connect EHRs, lab systems, imaging platforms, and wearables. Our engineers ensure seamless interoperability without disrupting ongoing operations.

Can your solutions meet strict compliance and regulatory standards (HIPAA, GDPR, FDA, etc.)?

Can your solutions meet strict compliance and regulatory standards (HIPAA, GDPR, FDA, etc.)?

Yes. Every system we build is designed with compliance-by-default. We embed governance, auditability, and data privacy controls into the architecture from day one.

Yes. Every system we build is designed with compliance-by-default. We embed governance, auditability, and data privacy controls into the architecture from day one.

How do you validate the accuracy and safety of AI systems in clinical or research use?

How do you validate the accuracy and safety of AI systems in clinical or research use?

We apply rigorous validation frameworks: bias testing, clinical-grade benchmarking, audit trails, and continuous monitoring to ensure AI outputs are safe, explainable, and reliable.

We apply rigorous validation frameworks: bias testing, clinical-grade benchmarking, audit trails, and continuous monitoring to ensure AI outputs are safe, explainable, and reliable.

How do you handle sensitive patient data and ensure security?

How do you handle sensitive patient data and ensure security?

We use de-identification, encryption in transit and at rest, and role-based access controls. Sensitive data never leaves secure environments, and we align with institutional and national security requirements.

We use de-identification, encryption in transit and at rest, and role-based access controls. Sensitive data never leaves secure environments, and we align with institutional and national security requirements.

Can your systems scale across multiple sites, regions, or research institutions?

Can your systems scale across multiple sites, regions, or research institutions?

Yes. We architect solutions for distributed deployments, enabling cross-institution collaboration, federated data access, and expansion across geographies without compromising compliance.

Yes. We architect solutions for distributed deployments, enabling cross-institution collaboration, federated data access, and expansion across geographies without compromising compliance.

What is your experience in healthcare and life sciences?

What is your experience in healthcare and life sciences?

We’ve delivered solutions for universities, research consortia, and healthcare providers, including secure research data platforms, integrated patient data solutions, and AI-driven clinical applications.

We’ve delivered solutions for universities, research consortia, and healthcare providers, including secure research data platforms, integrated patient data solutions, and AI-driven clinical applications.

How quickly can we see results?

How quickly can we see results?

We offer a 9-week Proof of Concept (PoC) model — tightly scoped to demonstrate feasibility, regulatory alignment, and measurable outcomes before scaling to enterprise deployment.

We offer a 9-week Proof of Concept (PoC) model — tightly scoped to demonstrate feasibility, regulatory alignment, and measurable outcomes before scaling to enterprise deployment.