Systems design
Requirements, constraint analysis, hardware selection, architecture, security and acceptance criteria for new products and services.
The practice
We design connected systems, from hardware to decisions.
Hydra Data Analysis is an engineering and technology-consulting practice specialising in IoT systems, telemetry and data platforms. We turn an operational objective into a complete solution: sensors, electronics, edge, connectivity, cloud, security, dashboards and tools for the people who will use it.
We can start from a blank sheet, clarify requirements and constraints and select every part of the architecture, or join an existing system to integrate it, make it observable and prepare it to scale. There does not need to be a fault to fix: we can own the design of a new product or service from its earliest decisions.
Our role is to keep the entire technical chain coherent. We connect what happens in the field to the software that acquires, transports, governs and turns data into usable information, considering installation, networks, power, security, updates, maintenance and support from the outset.
HDA can lead a project or work package, support the client’s technical owner and coordinate hardware manufacturers, developers and specialist suppliers. The objective is a system that can be verified, documented and genuinely operated by the people responsible for bringing it into service.
From field to decisions
One technical design across the whole chain.
A connected system works only when measurement, processing, transport, cloud services and operational interfaces are designed together. We therefore manage dependencies across disciplines and define ownership, contracts and acceptance criteria.
01SensorsMeasurement
02EmbeddedControl
03EdgeProcessing
04NetworkTransport
05CloudServices
06InterfacesDecisions
Embedded, edge and connectivity
Signal acquisition, firmware and gateways, protocols, cellular or local networks and continuity between devices and platforms.
Cloud, data and interfaces
Ingestion, APIs, data models, rules, dashboards and operational applications shaped around the decisions they must support.
Validation and commissioning
Prototypes, testing, installation, field commissioning, observability, updates, documentation and operational handover.
Method
How we work
We make choices, ownership and required evidence explicit, so an idea can become a usable and maintainable system.
Practicality
We start from the process, available data and real constraints. Assumptions are declared and tested.
Accountability
Every interface has an owner, a technical contract and an agreed acceptance criterion.
Technical caution
We distinguish what is demonstrated, what is prototypical and what still needs to be qualified.
Collaboration
We build the system with the people who will use, integrate, operate and evolve it.
Technical network
Collaborations and technical contexts
Partnerships, field activities, events and demonstrators in which HDA has worked with different organisations and specialists. All marks remain the property of their respective owners.
A system to design or evolve?
Start from the objective and build the technical path.
We can define a new system from hardware to cloud, or integrate and industrialise what already exists.