Technical studies, product development and engineering missions across electronics, artificial intelligence, embedded systems, IoT and software.
Heliades can take responsibility for a defined technical scope, or provide an engineer for a focused mission inside your team.
You have a question, a product to build, or a problem to investigate. We define the technical scope with you, identify the evidence needed, perform the work and deliver a documented result.
The engagement can cover a feasibility study, an architecture review, a failure investigation, a prototype, a complete design or a defined part of product development.
Your team needs reinforcement on a specific technical subject. A Heliades engineer joins your environment for a defined role, scope and period, selected for technical fit and the needs of the mission.
The engineer works with your tools, methods and interfaces. Heliades follows the mission to confirm that the role remains useful, clear and technically aligned.
Each field can form its own engagement. Most products combine several of them, so we pay close attention to the interfaces between disciplines.
We design firmware and embedded architectures for products that must interact reliably with hardware, users, networks and the physical world. The work covers microcontrollers, real-time behaviour, embedded Linux, communication stacks, low-power operation, boot and update strategies, diagnostics and system integration.
We work from measurable constraints: timing margins, memory and compute budgets, energy use, failure modes, maintainability and the conditions the device will encounter in service.
Can the timing requirements be met? Why does the device reset? Where is the energy budget going? How should the firmware be structured for testing and maintenance?
Feasibility, architecture, timing analysis, power assessment, code review, protocol analysis and investigation of unexplained behaviour.
Firmware architecture, driver development, RTOS or Linux integration, communication stacks, testing, optimisation and delivery.
Architecture documents, firmware, test harnesses, timing and power measurements, integration results and release documentation.
We work from the first architecture choices through schematic design, board bring-up, measurement and verification. The scope can include analogue and digital design, component selection, interfaces, sensors, power conversion, signal integrity, electromagnetic compatibility and design for manufacture.
We connect calculations and simulation to what the hardware actually does on the bench. Component availability, tolerances, thermal conditions, layout, production variability and firmware interaction are treated as engineering inputs, so issues can be isolated with evidence and design decisions remain traceable through prototyping and industrialisation.
Why is a signal unstable? Is the power architecture suitable? Which component is causing the failure? What should be measured before a redesign?
Design review, component analysis, failure investigation, measurement strategy, power assessment and pre-compliance review.
Schematic and board design, bring-up, test bench development, verification, integration and support through industrialisation.
Reviewed schematics, measurement results, design files, test procedures, issue analysis and documented recommendations.
We start by checking whether the available data and operational context support the intended use. When they do, we develop the data flow, evaluation method and deployment approach needed to make the model useful on the real target, whether it runs in the cloud, on an edge computer or inside a constrained device.
The model is only one part of the system. We also address data collection and labelling, baseline selection, error analysis, inference constraints, monitoring and fallback behaviour. Performance is evaluated against the decisions the product must make, with limitations and operating boundaries documented before deployment.
Is AI relevant to this problem? Is the dataset representative? How will performance be measured? Can the model run within the target limits?
Relevance assessment, data review, feasibility experiment, risk analysis, target constraints and evaluation design before investment.
Data pipelines, model development or selection, integration, edge deployment, optimisation, monitoring and evaluation.
Dataset assessment, baseline results, evaluation protocol, integrated model, deployment package and documented limitations.
We cover the complete connected product chain, from sensing and local behaviour to radio or wired connectivity, gateways, backend services and fleet operations. The objective is to make the whole service observable, maintainable and appropriately secure for its context.
That means designing for intermittent networks, provisioning, identity, remote configuration, software updates, telemetry, support and recovery from the beginning. We examine the trade-offs between coverage, energy, latency, cost and data volume, then validate the complete path under conditions that resemble the field.
Which protocol fits the product? How should devices be provisioned and updated? What happens when connectivity is lost? How will the fleet be monitored?
End-to-end architecture, protocol selection, coverage and energy trade-offs, backend sizing, security review and feasibility.
Device firmware, gateways, cloud services, fleet management, remote updates, observability, integration and field validation.
System architecture, protocol decisions, device and backend software, deployment tools, dashboards, test results and operating guidance.
We build software around clear architecture, predictable behaviour, testability and operation. The work can support a connected product, an engineering team, a technical platform or a standalone application, from focused tooling and APIs to complete backend and user-facing systems.
We make the operational path part of the design: interfaces, failure handling, observability, automated tests, deployment and handover are considered alongside features. When improving an existing system, we use profiling and production evidence to find the changes that reduce risk or complexity without forcing an unnecessary rewrite.
Where is the performance bottleneck? Can the architecture support the next product stage? Why is the system difficult to test or operate? Which parts should be simplified first?
Architecture review, performance investigation, reliability audit, dependency analysis, test strategy and technical risk assessment.
Application and backend development, integration, performance work, test infrastructure, developer tooling, deployment and maintenance support.
Working software, architecture decisions, automated tests, operational tooling, performance evidence, documentation and handover materials.
Share the context, the outcome you need and the unknowns in the way. We will help frame the right engagement.
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