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IOT SERVICES

Turn Connected Operations Into Measurable Business Value

Reduce site visits, detect faults faster, lower the lifetime cost of connected operations, and improve visibility across the systems your business depends on.
Tech.us builds IoT systems designed to stay reliable, manageable, and cost-effective as they scale.

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WHAT IOT CHANGES

Make Connected Operations Easier and Less Expensive to Run

IoT creates value when connected data helps teams act earlier, reduce manual intervention, and manage operations more efficiently over time.

Reduce Site Visits

Monitor and manage connected equipment remotely so fewer issues require someone to be physically present.

Detect Problems Earlier

Surface abnormal conditions sooner so teams can respond before small issues become larger disruptions.

Improve Operational Visibility

Give teams a clearer view of what is happening across connected assets, locations, and systems.

Lower Lifetime Operating Cost

Design devices and infrastructure to be updated, monitored, and maintained remotely as the deployment grows.

IOT SERVICES

Build Connected Systems That Turn Data Into Action

We design and integrate the devices, connectivity, platforms, and controls needed to make IoT useful in day-to-day operations.

IoT Assessment and Architecture

We establish what needs measuring, what accuracy the decision requires, and which architecture supports it across device, connectivity, edge, and cloud.

Device and Firmware Engineering

We develop embedded software for sensors, controllers, and gateways, including power management, local storage, and recovery from interrupted updates.

Connectivity and Protocol Integration

We connect devices over the protocols your equipment already speaks, including industrial buses, and bridge them into a consistent data model.

Legacy Equipment Integration

We instrument existing machinery through external sensors and gateways where the equipment itself cannot be modified or replaced.

Edge Computing

We move filtering, aggregation, and decision logic onto local hardware where latency, bandwidth cost, or connectivity requires it.

Device Management and Provisioning

We build enrollment, identity, configuration, monitoring, staged over-the-air updates, and decommissioning across the fleet.

IoT Platform and Application Development

We build the ingestion, storage, and applications your teams use, connected to the systems where the work is already managed.

Analytics and Predictive Maintenance

We build models on device data for condition monitoring and failure prediction, calibrated against your maintenance records rather than generic thresholds.

Automation and Remote Control

We build supervised and automated responses to device conditions, with authority limits and manual override defined for each action.

IoT Security Engineering

We design identity, key handling, network separation, signed updates, and revocation as part of the system rather than as a later hardening pass.

Selected Work

Work That Delivers Real Business Value

See how we turn business needs into solutions designed to perform in real operating environments.

View All Case Studies

AI-Powered Takeoffs From Complex Construction Drawings

A precast concrete manufacturer partnered with Tech.us to bring AI into the estimating workflow. The system uses OCR, computer vision, and generative AI to identify, extract, and visualize structures, pipes, and components from complex construction drawings.

Read the Case Study
Wellington Hamrick Precast AI takeoff automation tool shown on laptop and tablet

Mobile Fleet Visibility Built for Field Operations

SkyHawk by TELUS needed a streamlined mobile experience for its Connect Anywhere platform. Tech.us built the core experience around real-time asset tracking, fleet activity, secure configuration, and map-based operational visibility.

Read the Case Study
SkyHawk by TELUS mobile app screens showing fleet tracking and login

Personalized Financial Technology Built to Scale

Tech.us helped bring Wealth Mastery to life as a digital platform that puts personalized financial planning tools directly in users' hands while supporting a large and growing audience.

Read the Case Study
Tony Robbins Wealth Mastery app shown on tablet and phone

WHY TECH.US FOR IOT

Built for IoT That Stays Manageable After Deployment

We design connected systems around the decisions that are hardest to change later, so they remain easier to maintain, secure, and scale over time.

We Start With the Update Path

A fleet that cannot be updated remotely becomes a maintenance liability, so we establish that capability before anything scales.

We Instrument What You Already Run

Existing equipment is usually connected through added sensors and gateways rather than replaced, which is faster and considerably cheaper.

We Build for Intermittent Connectivity

Offline behavior, buffering, and reconciliation are designed at the start rather than after the first site with poor coverage.

Security Is Part of the Architecture

Per-device identity, signed updates, segmentation, and revocation are design decisions, not a review stage before launch.

We Cover Device Through Application

Embedded work, cloud, and business integration are handled by one team, which removes the gap where IoT projects usually stall.

AI-Assisted Code Is Reviewed by an Engineer

Code written with AI assistance passes human review before it reaches a client system. Faster authorship does not change who is accountable.

why-choose-techus

HOW WE WORK

Build for Real Conditions From the Start

We test the system against the environments, constraints, and operating demands it will face in production.

1

Define the Decision

We establish what operational decision the data will support and what measurement accuracy and frequency it actually requires. 

2

Select Hardware Against Constraints

We evaluate devices, connectivity, and power against site conditions, service life, and the cost of maintaining them in the field. 

3

Field Pilot in Real Conditions

We deploy a small number in the worst conditions rather than the easiest, because interference, temperature, and access problems surface there. 

4

Build the Platform and the Update Path

We develop ingestion, device management, applications, and integrations, with staged over-the-air updating working before scale. 

5

Roll Out in Stages

We expand in controlled groups, watching for failures that only appear at volume or in specific site conditions.

6

Operate the Fleet

We monitor device health, manage firmware versions, respond to failures, and support expansion and decommissioning. 

BUILT FOR THE DEVICE LIFECYCLE

Design for What Happens After Deployment

Connected devices may stay in the field for years. We design the system so updates, connectivity changes, security, and device management remain practical long after installation.

Update Devices Remotely

Plan the update and recovery path before deployment so routine fixes do not become site visits.

Keep Devices Working Offline

Allow critical functions to continue when connectivity drops and reconcile data when the connection returns.

Manage Devices as the Fleet Changes

Support different hardware and firmware versions instead of assuming every deployed device remains identical.

Build Security Into the Device Lifecycle

Use controlled identity, updates, access, and revocation from deployment through retirement.

Plan for Long-Term Support

Design around maintenance and replacement realities so the system remains manageable as equipment ages.

FROM DATA TO ACTION

Turn Connected Data Into Decisions That Improve Operations

Collecting data is only useful when it changes what the business does. We connect device signals to alerts, decisions, and actions that help teams respond faster.

Surface What Needs Attention

Highlight conditions that require action instead of overwhelming teams with every available data point.

Reduce Unnecessary Alerts

Tune thresholds around real operational consequences so important signals are easier to see.

Use Prediction Where It Adds Value

Apply analytics or machine learning when patterns cannot be captured reliably through simpler rules.

Connect Insights to the Workflow

Move useful information into the systems and processes where teams already manage the work.

IOT TECHNOLOGy

Technology Chosen for Real Operating Conditions

We work across embedded systems, connectivity, edge computing, device management, data platforms, and cloud IoT technologies. The stack is selected around your environment, device requirements, existing equipment, and long-term support needs.

Agentic AI & Orchestration

Agentic AI Agentic AI
AI Agents AI Agents
Multi-Agent Systems Multi-Agent Systems
Agentic Workflow Automation Agentic Workflow Automation
Model Context Protocol (MCP) Model Context Protocol (MCP)
Agent-to-Agent Protocol (A2A) Agent-to-Agent Protocol (A2A)
Agent Memory and Reasoning Agent Memory and Reasoning

FAQ

Questions Buyers Ask About IoT

The update path, per-device identity, connectivity, power budget, what logic runs locally, and how devices are eventually retired. Each is straightforward now and expensive once hardware is installed across multiple sites.

Usually yes. Older machinery is instrumented through external sensors and gateways that read what the equipment already exposes, which avoids replacing assets that still work.

We assume the device can be opened. Each unit carries its own credentials rather than a shared key, firmware is signed and verified before it installs, device traffic is segmented from other networks, and individual units can be revoked.

It continues operating on local logic and buffers readings until the connection returns, then uploads in a controlled way. How long it can buffer and what it discards first are defined during design rather than left to chance.

Because without it, every fix, security patch, and improvement requires physically reaching the device. It is the single decision that most affects what an IoT deployment costs to run over its life. 

By tracking version state per device, staging rollouts to small groups first, and building the platform to work across versions rather than assuming uniformity. Fleets diverge naturally, so the system accounts for it.

Devices produce the data; models find patterns in it that thresholds cannot express. We generally start with rules, because they are cheaper and inspectable, and apply models where the condition is genuinely not expressible as a threshold.

By calibrating thresholds against what historically required intervention rather than what is technically detectable. A system that alerts constantly gets muted, at which point it provides nothing.

Either. We evaluate and integrate hardware you have selected, or recommend devices against your site conditions, service life, and support requirements.

Per project, driven by device count, whether firmware development is required, connectivity, integration depth, and whether we operate the fleet after deployment. We scope it after a site assessment.

Build the Right IoT Foundation From Day One

Tell us what you need to measure and where the equipment sits. We will tell you what the deployment locks in and what it will take to keep running.

Schedule an IoT Assessment

Site conditions · Update path · Security design · Practical next step