IoT Services & Solutions for Building Smarter, Connected Systems

Updated

Sthenos delivers end-to-end IoT services that connect devices, platforms, and analytics into scalable, secure ecosystems. We help enterprises unlock real-time insights, automate operations, and create intelligent digital experiences through robust IoT architecture and engineering.

Enterprise-Grade IoT Solutions & Intelligent Device Management

Our SOLUTION

IoT Implementation Solutions Designed to Modernize Your Operations

Business-first product mindset

We translate business challenges into clear IoT use cases, defining measurable outcomes and building solutions that improve efficiency, visibility, and operational control.

End-to-end IoT technology stack

From device connectivity and data ingestion to cloud processing, analytics, and dashboards, we implement the complete IoT stack required for scalable deployments.

Transformation-led delivery

Our IoT implementations focus on enabling long-term operational transformation, helping organizations unlock new efficiencies, automation, and data-driven decision-making.

Platform and vendor agnostic

We work across devices, protocols, clouds, and platforms to design IoT solutions that fit your ecosystem instead of forcing rigid, one-size-fits-all architectures.

Proven engineering practices

We follow disciplined development, testing, and deployment practices to ensure secure, reliable, and production-ready IoT solutions at enterprise scale.

Our IoT development services cover three groups of work, set out in the tabs above: IoT advisory, IoT development and IoT solutions, fifteen services in all. The sections below define an IoT system in the terms used by NIST, the US National Institute of Standards and Technology, place each service on it, explain where edge computing fits, set out the security capabilities NIST names for a device, and cover how an engagement runs, what moves the cost, what you receive and what to ask.

Service groupsThree

IoT advisory, IoT development and IoT solutions, the three tabs above.

ServicesFifteen

Five in each tab, from strategy and roadmapping to smart supply chain management. Counted on this page.

ApproachPlatform and vendor agnostic

Across devices, protocols, clouds and platforms, fitted to your ecosystem.

Hourly rates$150 to $250

Per hour, depending on the seniority and mix of the team. The published Sthenos band.

On this page

What an IoT system is made of, in NIST's words

NIST IR 8259 describes the IoT devices it covers as having at least one transducer, a sensor or an actuator, for interacting directly with the physical world, and at least one network interface for interfacing with the digital world. NIST SP 800-183 names five building blocks for a network of such things: a sensor, a communication channel, an aggregator, a decision trigger, and an external utility, or eUtility. Figure 1 draws them in the order data moves through them, with the service on this page that builds each one.

Figure 1. NIST's five building blocks of a network of things, and the service that builds each

Four boxes left to right, joined by arrows: a sensor, a communication channel, an aggregator and a decision trigger, each with its NIST definition and the service on this page that builds it. An eUtility box above feeds data into the aggregator and the decision trigger. A band underneath lists the two services that apply to every block: security and compliance planning, and testing and lifecycle maintenance. NIST SP 800-183 names five building blocksfor a network of things. Data moves leftto right; an eUtility feeds in from outside. eUtility A software or hardwareproduct or service thatfeeds data or runs processes API Developmentand Integration SensorCommunicationchannelAggregatorDecision trigger Measures physicalproperties such astemperature, location The medium datamoves through: wired,wireless or USB Turns groups of rawdata into aggregateddata A conditionalexpression thattriggers an action Device and FirmwareEngineering IoT IntegrationServices Data ingestion andcloud processing IoT ApplicationDevelopment Across every block: Security and Compliance Planning, and Testing and Lifecycle Maintenance

Caption: the five blocks and their definitions are NIST SP 800-183's, shortened for width. Each service is placed at the block its own description on this page names; data ingestion and cloud processing come from the end-to-end IoT technology stack card. The placement is ours and the definitions are NIST's. Nothing in the figure is a measurement.

IoT consulting services, development and solutions: the fifteen services

The three tabs above, on one map. IoT Advisory is the consulting group: strategy, use cases, architecture, security planning and the business case. IoT Development builds the system, from IoT app development services to firmware, integration, APIs and testing. IoT Solution names the five kinds of system the work produces, including industrial IoT solutions for manufacturing and industrial operations.

IoT Advisory
  • IoT strategy and roadmapping
  • Use-case identification
  • Architecture and platform advisory
  • Security and compliance planning
  • Business case and ROI modeling
IoT Development
  • IoT application development
  • Device and firmware engineering
  • IoT integration services
  • API development and integration
  • Testing and lifecycle maintenance
IoT Solution
  • Smart and connected products
  • Industrial IoT (IIoT): predictive maintenance, asset tracking and process visibility
  • Connected health
  • Consumer IoT
  • Smart supply chain management

Edge computing in IoT: where the processing happens

IoT Integration Services, above, connect devices, gateways, cloud platforms and enterprise systems. NIST SP 500-325 describes that path in three layers: the edge, where the end devices sit; fog nodes, such as gateways, between the devices and the cloud; and centralized cloud services. Which layer does the processing is a design decision, and NIST's own model makes neither the fog layer nor the cloud mandatory. Platform and vendor agnostic, above, means that decision is fitted to your ecosystem.

Edge, fog and cloud, side by side

Edge

Where the devices are
  • The network layer encompassing the end devices and their users.
  • Local computing capability on a sensor, meter or other network-accessible device.
  • NIST notes it is often called the IoT network.

Fog

Between devices and cloud
  • Fog nodes, physical or virtual, between smart end devices and centralized services.
  • NIST's physical examples include gateways, switches, routers and servers.
  • Minimizes request-response time and gives devices local computing resources.

Cloud

Centralized services
  • The centralized services fog nodes connect devices to, when needed.
  • Where the cloud processing named on this page happens.
  • Not required for a fog layer to support end devices, in NIST's model.

IoT connectivity: the network interface and the protocol

IoT connectivity starts at the device. NIST IR 8259 describes the IoT devices it covers as having at least one network interface, such as Ethernet, Wi-Fi, Bluetooth, LTE, Zigbee or Ultra-Wideband. Above the network sits the messaging protocol. Our manufacturing IT page cites MQTT, which OASIS describes as a client server publish/subscribe messaging transport protocol that is light weight, open, simple and designed to be easy to implement, and ideal for constrained environments such as machine to machine and IoT communication.

The design point that page makes. The MQTT topic hierarchy and the quality of service level are a schema decision, because both are extremely expensive to change once devices are in the field.

Security from day one: the device capabilities NIST names

Security and Compliance Planning, above, embeds security, privacy and regulatory considerations from day one, and Device and Firmware Engineering builds the firmware a device runs. NIST IR 8259A defines a core baseline of six cybersecurity capabilities for an IoT device, as a default for minimally securable devices; it does not specify how each capability is achieved. For industrial IoT security on a plant network, our manufacturing IT page also covers ISA/IEC 62443, the series ISA writes for industrial automation and control systems.

  • Device identification. The device can be uniquely identified, logically and physically.
  • Device configuration. Its software configuration can be changed, by authorized entities only.
  • Data protection. It can protect the data it stores and transmits from unauthorized access and modification.
  • Logical access to interfaces. It can restrict logical access to its local and network interfaces, and their protocols and services, to authorized entities only.
  • Software update. Its software can be updated by authorized entities only, using a secure and configurable mechanism.
  • Cybersecurity state awareness. It can report on its cybersecurity state, to authorized entities only.

How an IoT engagement runs

Five stages, the same five published on our custom software development page, with the IoT services from this page placed where they act. Sthenos works in two week sprints, so working software arrives every two weeks.

  • DiscoveryUse-case identification and strategy and roadmapping: high-impact IoT opportunities across operations, products and customer experience, in a short, bounded discovery scoped per engagement.Written scope and costed roadmap
  • DesignArchitecture and platform advisory, and security and compliance planning: devices, connectivity, cloud platforms and data layers, with security, privacy and regulatory considerations in from day one.Architecture decisions in writing
  • BuildDevice and firmware engineering, IoT application development, integration and secure APIs, shipped in short, reviewable increments.Working software every two weeks
  • LaunchTesting for device, platform and application reliability, then hardening and a controlled release.A controlled release
  • SupportUpdates and ongoing support through testing and lifecycle maintenance, with monitoring, maintenance and a roadmap tied to business outcomes.Monitoring, maintenance and a roadmap

What moves the cost of an IoT project

IoT work is billed at the published Sthenos rate band, and where the scope is clear we quote a fixed price for a defined outcome, with a costed roadmap before any build starts. Business Case and ROI Modeling, above, builds the cost, benefit and value realization models that support the investment decision.

Hourly rate, by the seniority and mix of the team $150 to $250
$0$250 per hour
What a typical project runs $50,000 to $200,000
$0$200,000

Within those bands, these are the questions that change an estimate. Each is already published on our custom software development or manufacturing IT pages, and none carries a number here.

  • How settled the scope is. A written, agreed scope is a large variable in any estimate, and an unsettled one is the reason estimates move.
  • What the equipment actually exposes. What the controllers on a floor expose is an equipment fact and not an architectural preference, so it is checked before the interface is designed.
  • The messaging design. The topic hierarchy and quality of service level are extremely expensive to change once devices are in the field.
  • The integration count, and whether the other side is documented. An integration into a modern documented API is routine; one into an undocumented system that somebody has to reverse engineer is a project of its own.
  • The compliance evidence the contract requires. Producing the artifacts an auditor or a contracting officer will ask for is work, and it belongs in the estimate.
  • What happens after launch. Deployment and maintenance are frequently excluded from cheap quotes and sold back afterwards. Get them priced up front.

What you receive

A process description says what a vendor does. This says what you end up holding.

  • A clear IoT vision and a phased execution roadmap, aligned with business goals, use cases and ROI expectations.
  • A measurable IoT business case with cost, benefit and value realization models.
  • An architecture covering devices, connectivity, cloud platforms and data layers.
  • Firmware, applications and secure APIs, tested for device, platform and application reliability.
  • A written scope and a costed roadmap before any build, then working software every two weeks.
  • The repository and the cloud accounts in your name from the first commit, with updates and ongoing support after launch.

What to ask any IoT development company

These questions apply to all the IoT service providers on a shortlist, Sthenos included. Each comes from a NIST publication or from a question our own pages already publish.

  1. Which of the six NIST device capabilities will the devices support, and how will software updates reach devices already in the field?
  2. Where will the data be processed: on the device at the edge, on a fog node such as a gateway, or in the cloud, and why there?
  3. How will the MQTT topic hierarchy and quality of service level be designed, versioned and documented?
  4. Who reviews the code, and can that person veto a merge?
  5. What is explicitly out of scope? The excluded half is the half that generates change requests.
  6. Who owns the code, the repository and the cloud accounts when we are done?

Questions buyers ask about IoT development

What do IoT development services include?

On this page, five services: IoT application development for device monitoring, control, data visualization and workflow automation; device and firmware engineering; IoT integration services; API development and integration; and testing and lifecycle maintenance.

What is edge computing in IoT?

NIST SP 500-325 defines the edge as the network layer encompassing the end devices and their users, providing, for example, local computing capability on a sensor, meter or other network-accessible device. NIST notes this layer is often called the IoT network.

What counts as an IoT device?

NIST IR 8259 covers devices with at least one transducer, a sensor or an actuator, for interacting directly with the physical world, and at least one network interface, such as Ethernet, Wi-Fi or Bluetooth, for interfacing with the digital world.

Do you offer IoT consulting?

Yes. IoT Advisory is one of the three service groups on this page: strategy and roadmapping, use-case identification, architecture and platform advisory, security and compliance planning, and business case and ROI modeling.

How much does an IoT project cost?

Sthenos rates are $150 to $250 per hour, depending on the seniority and mix of the team, and a typical project runs $50,000 to $200,000. Where the scope is clear we quote a fixed price for a defined outcome, with a costed roadmap before any build starts.

Who owns the code you write?

You do, entirely, from the first commit. The repository and the cloud accounts are in your name, with no licence back to us and no dependency on us continuing to exist.

Have devices that need connecting? Tell us what they measure, where the data has to go and who acts on it, and you will get a straight answer on where the processing should sit. Talk to our engineers.

Internet of Things (IoT) Adoption for Leading Brands

Case Study

IoT services enabling smart home automation

We designed and deployed an end-to-end IoT ecosystem that connected multiple smart home devices into a single, intuitive control platform. The solution enabled real-time monitoring, remote access, and automated routines for lighting, security, and energy usage. A clean user interface and reliable device communication significantly improved user engagement and household control.

5x

Improved User Experience

Engineered IoT based solution for driving home automation
Case Study

IoT-driven insights for human health analytics

For a healthcare innovator, we built an IoT-powered analytics platform that combined connected medical devices with advanced data processing. The solution captured and analyzed sensor data in real time to support early detection and monitoring of complex health conditions. By integrating IoT data with AI-driven analysis, clinicians gained faster, more accurate insights to support critical decision-making.

90%

Diagnosis Accuracy

Exploring new possibilities in human health analytics
Case Study

Intelligent retail automation using AI-enabled IoT devices

We developed a next-generation retail automation solution that connected in-store IoT devices such as sensors, cameras, and smart shelves into a unified intelligence layer. The platform enabled real-time inventory visibility, customer behavior tracking, and automated operations. Advanced analytics helped retailers personalize experiences, optimize layouts, and improve overall store performance.

10x

Improved Customer Experience

Taking retail automation and shopping convenience to the next level with AI and IoT powered solutions
Contact us
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We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.

Rates and delivery
What happens next?
1

We schedule a call at your convenience

2

We run a short, bounded discovery, scoped per engagement

3

We give you a costed roadmap before committing to a build

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