DeviceFlow

DeviceFlow by Onymos is an IoT software development platform designed to help life sciences, MedTech, and enterprise teams build secure, compliant IoT and IoMT systems rapidly — without starting from scratch. The platform deploys entirely within your own infrastructure, provides all necessary UI and functionality components as licensable source code, and follows a "no-data" architecture that ensures Onymos never accesses, captures, or stores any customer data. This makes DeviceFlow particularly well-suited for organizations where precision, security, regulatory compliance, and full intellectual property ownership are non-negotiable.

Rather than relying on restrictive low-code or no-code SaaS platforms, DeviceFlow offers enterprise-grade, pro-code customization without vendor lock-in. Teams receive the UI as actual code — customizable with real CSS and HTML — and can license the underlying functional source code, giving them complete control over their solution as though their own team had built it.

Core Capabilities: Connect, Capture, Access, Analyze

• Connect: DeviceFlow connects your device ecosystem using industry-leading protocols including MQTT and Bluetooth. Built-in data buffering optimizes cloud writes by accumulating data locally and transmitting it in batches, significantly reducing cloud costs while maximizing performance.
• Capture: The platform captures and transits data between devices, smartphones, laptops, and the cloud across any major provider — AWS, GCP, or Azure — as well as on-premises databases. The "no-data" architecture ensures all data remains exclusively within your infrastructure, with no interim Onymos servers involved.
• Access: DeviceFlow provides fully customizable access control, allowing teams to define who can access devices and applications and what actions they can perform. Biometric authentication (bioauth) is supported, with no complex setup required, and the system scales with organizational needs.
• Analyze: The platform includes a fully customizable dashboard built with real CSS and HTML — not a drag-and-drop template. Users can visualize data, push firmware updates, manage users and privileges, control individual devices in real time, and run deep analyses. Edge AI integration is also supported, enabling real-time, on-device analytics even without an active internet connection.

Edge AI and Data Buffering

• Edge AI deploys AI models directly onto IoT devices, allowing data to be analyzed and acted upon at the point of generation without relying on a remote server.
• A practical example is a medical monitor that can detect and respond to critical events such as an irregular heartbeat instantly, even when offline.
• Data buffering temporarily stores data locally on the device before transmitting it to the cloud in batches, which is especially valuable when handling large data volumes or when real-time cloud updates are not required, resulting in meaningful cost savings.

Customization and Intellectual Property Ownership

• DeviceFlow is a "high-IP" platform, meaning customers receive full access to both the source code and the UI, enabling deep customization and full ownership of the resulting solution.
• Unlike "low-IP" low-code/no-code platforms that rely on proprietary, pre-built frameworks with limited flexibility, DeviceFlow allows teams to tailor every aspect of the platform to their specific requirements.
• Pre-built, configurable UI features are available out of the box, covering data analysis, firmware update management, user management, and real-time device control.
• The platform's API standardizes data sending and receiving across AWS, GCP, Azure, and on-premises environments, ensuring seamless interoperability with existing systems.

Security, Compliance, and Regulatory Readiness

• Onymos's award-winning "no-data" architecture means the company never accesses, captures, or stores any customer data — all data remains within the customer's own environment at all times.
• Onymos is certified SOC 2 and HIPAA compliant, and the platform has been recognized with the 2024 Fortress Cybersecurity Award.
• Because the platform resides entirely within the customer's infrastructure with no dependency on an "Onymos Cloud," regulatory validation processes — including FDA approvals for MedTech applications — are smoother and faster, with no waiting on third-party updates.
• Some of the world's largest MedTech enterprises rely on DeviceFlow precisely because Onymos never holds their data in the first place.

DeviceFlow supports deployment in any cloud environment (AWS, GCP, Azure) or on-premises, making it flexible for organizations with varying infrastructure requirements. Its combination of source code licensing, no-data security architecture, SOC 2 and HIPAA compliance, and full customization capability positions it as a purpose-built solution for IoT and IoMT teams that cannot afford the limitations of conventional SaaS platforms.