Skip to content
Appsierra · Engineering & R&D

Products with hardware in them, tested honestly.

When the product has firmware, a sensor or a factory floor attached to it, the interesting failures are physical. This practice covers product and embedded engineering, connected devices and operational technology — with a real-device bench behind the claims.

Sold by Appsierra Engineering & R&D Reply in one business day
3
service lines

Product engineering, digital engineering and operational technology, covering concept through sustenance.

9
industries served

Aerospace and defence, automotive, healthcare, software, industrial manufacturing, servers and storage, consumer electronics, telecom and semiconductor.

OWASP
IoT security criteria

Multi-layered security tests written against OWASP criteria rather than a generic checklist.

Real + virtual
device coverage

A real-device bench for physical behaviour, device virtualisation for breadth and unusual scenarios.

01

What Engineering & R&D is

Engineering and R&D services cover the full product lifecycle where software meets hardware. Product engineering spans lifecycle management, hardware and VLSI design, embedded software development, verification and validation, product sustenance and consumer electronics work. Digital engineering adds the connected layer: data engineering with AI integration, digital thread and digital twin, digital platform development, smart manufacturing, 5G and silicon platform solutions.

Operational technology is the third leg and the one most software firms skip: manufacturing execution systems, connected factory solutions, agile plant engineering, asset modernisation, plant cybersecurity and manufacturing analytics. It is where a connected product stops being a product and becomes part of somebody's production line, with the availability expectations that implies.

The testing side is what makes the rest credible. Connected-device work runs against a real-device bench and device-virtualisation technology together, so coverage extends past the handful of units a team happens to own — validating functionality, connectivity, protocol interoperability, and multi-layered security tests built to OWASP criteria. The proof point is Barcodes Inc, where an embedded pod ran a device matrix with real scanners and printers, integration tests against the commerce stack, and firmware compatibility checks per release, and field defects fell.

02

What it does

Three lines of work, and the test capability that runs underneath all of them.

01

Product engineering

Product lifecycle management, hardware and VLSI design, embedded software development, verification and validation, product sustenance and cognitive product support — concept through long-term support, so a product stays current as the market moves under it.

02

Digital engineering

Data engineering with AI integration, cloud solutions, digital thread and digital twin, digital platform development, smart manufacturing, 5G technology and silicon platform work — the layer that turns a device into a connected system.

03

Operational technology

Manufacturing execution systems, connected factory solutions, agile plant engineering, asset modernisation, plant cybersecurity and manufacturing analytics. Industry 4.0 work where downtime is measured in production units rather than in page views.

04

A real-device bench

Testing on real hardware for the things emulation cannot reproduce, plus device virtualisation for breadth and for the scenarios you cannot physically stage. Both, because either alone leaves a gap that shows up in the field.

05

Protocol and interoperability coverage

Connected products fail at the seams. Coverage spans the protocols themselves and their interoperability, which is where the defects that survive to production usually live.

06

IoT security testing

Multi-layered security tests written to OWASP criteria across the IoT architecture, including device penetration testing — because a connected device is now one of the more attractive routes into a network.

03

How it runs

Hardware changes the shape of an engagement: the bench has to exist before the coverage is meaningful.

  1. Scope the physical surface

    Which devices, which firmware versions, which protocols and which integrations. The device matrix is a deliverable in its own right, and it is what decides whether the coverage claim means anything.

  2. Stand up the bench

    Real hardware for behaviour that only exists physically — sensors, power, thermal, connectivity under real conditions — plus virtualisation for breadth and for scenarios that cannot be staged safely or repeatedly.

  3. Build and validate together

    Embedded software, integration and verification run against the bench rather than after it, with firmware compatibility checked per release rather than at a milestone.

  4. Test the seams and the security

    Protocol interoperability, integration against the commerce or platform stack, and multi-layered security testing to OWASP criteria across the device, the transport and the back end.

  5. Sustain

    Product sustenance is an explicit line of work here, not an afterthought: firmware, dependency and platform changes keep arriving after launch on somebody else's schedule.

04

Who it is for

The industries this serves have longer cycles and harder consequences than pure software.

Industrial manufacturing and automotive

Teams designing, producing and maintaining industrial systems, and automotive groups modernising toward connected and more sustainable transport — where an over-the-air update has to be as safe as the firmware it replaces.

Consumer electronics and semiconductor

Product organisations moving concept to production against a market that keeps moving, and semiconductor teams needing design, testing and process optimisation support.

Healthcare and aerospace

Medical device and healthcare solution development where diagnostics and patient outcomes depend on the software, and aerospace and defence work held to safety, performance and compliance standards.

Network, telecom, servers and storage

Infrastructure builders who need reliable networks and dependable data storage and server management, with the connected-device testing that keeps the estate honest.

05

What it does not do

Where this stops, and one thing we will not repeat from the source material.

  • Pure web and mobile product builds without a hardware surface belong to the application practice — this one exists for the cases where the physical layer is the risk. Cloud app development →
  • Enterprise IT security and managed detection across a corporate estate are a different discipline from plant cybersecurity and device penetration testing, though the two meet on connected factories. Enterprise IT security →
  • The analytics platform behind manufacturing analytics — ingestion, modelling, quality tests — is data engineering work and is scoped as such. Data & analytics →
  • The source page lists a set of named platform products alongside this service. They are not verifiably Appsierra's own, so none of them is claimed here — what is offered is engineering capacity and a test bench, not a licensed product suite.
06

Answers

Do you test on real devices or emulators?

Both, deliberately. Real hardware for anything physical — sensor and camera behaviour, power and thermal, connectivity under real conditions — and device virtualisation for breadth and for scenarios that cannot be staged repeatedly. Either alone leaves a gap that surfaces in the field.

How do you handle the sheer variety of IoT hardware?

With a device matrix chosen from what your product actually ships against, backed by a real-device bench and virtualisation for the rest. Custom test cases are built for the unusual scenarios rather than assuming the standard ones cover them.

What does IoT security testing cover?

Multi-layered tests written to OWASP criteria across the IoT architecture — the device, the transport, the protocols and the back end — including device penetration testing. Connected devices are now a favoured route in, and the surface is wider than the application alone.

Can you take a product from concept through to sustenance?

Yes — that is the shape of the practice. Product lifecycle management, hardware and VLSI design, embedded software, verification and validation, and product sustenance are all in scope, with sustenance treated as ongoing work rather than a warranty period.

What is a digital twin actually useful for here?

Modelling how a physical asset or process behaves so changes can be evaluated before they are made to the real thing. It earns its cost where physical experimentation is slow, expensive or dangerous — which is most of manufacturing.

Do you work on the factory floor as well as the product?

Yes. Operational technology work covers manufacturing execution systems, connected factory solutions, asset modernisation, plant cybersecurity and manufacturing analytics — the point where a connected product becomes part of someone's production line.