IoT Consulting Services

Trusted by leading brands and startups

Why the Internet of Things Matters

The global Internet of Things market was valued at approximately USD 595.73 billion in 2023 and is projected to grow to USD 4,062.34 billion by 2032

IoT is rapidly transforming industries. Imagine factory machines that automatically signal for maintenance before they break down, or healthcare systems that monitor patients remotely, allowing for earlier intervention and improved outcomes. These are just a few examples of how IoT solutions are tackling real-world challenges across diverse sectors.
From optimizing energy use in buildings to enhancing agricultural yields through precision farming, IoT is driving innovation that reduces costs, improves safety, and fosters a better quality of life..

What We Do For You

Solution Design & Architecture
Solution Design & Architecture

Design scalable and secure lot architectures to support your specific use cases and operational needs

Strategy & Consulting
Strategy & Consulting

Develop tailored lot strategies aligned with your business objectives, including roadmap development and technology assessment.

Analytics & Insights
Analytics & Insights

Leverage advanced data analytics to derive actionable insights from lot data, enabling Informed decision-making and strategic planning.

Al & Machine Learning Integration
Al & Machine Learning Integration

Integrate Al and machine learning capabilities ind your at suns for intelligent data processing predictive analytics and animaly detection.

Prototyping & Development
Prototyping & Development

Employ rapid prototyping techniques to quickly develop and test lot solutions, ensuring timely and cost-effective deployment.

Managed loT Services
Managed loT Services

Provide ongoing support and maintenance to ensure the continuous operation and scalability of your lot infrastructure.

Our Technology
Partners

With all the technology in the market, the decision of choosing the right one can be quite daunting.

At Sphere, we have carefully assessed the value of various technologies for you. Our experts will enable you to make the right choice – one that drives maximum ROI for your business.

Our IoT Solutions

Industrial

Predictive Maintenance:

Utilize advanced analytics to foresee equipment failures and schedule timely maintenance, reducing downtime and operational costs.

Real-Time Monitoring:

Implement real-time data collection and monitoring systems to enhance operational visibility and decision-making.

Digital Twins:

Create virtual replicas of physical assets to optimize performance and predict potential issues before they occur.

Home Automation:

Develop intuitive applications and systems for automating home environments, including HVAC control, security, and water management.

Building Automation:

Integrate IoT technologies to manage and optimize building operations, improving energy efficiency and occupant comfort.

Smart Building and Homes

Automotive

Connected Vehicles:

Enhance vehicle connectivity for improved safety, navigation, and infotainment systems.

Fleet Management:

Optimize fleet operations with real-time tracking, predictive maintenance, and data analytics.

Remote Patient Monitoring:

Implement systems to monitor patient health remotely, ensuring timely medical interventions and continuous care.

Connected Medical Devices:

Integrate IoT technologies into medical devices for enhanced data collection and interoperability with health records.

Healthcare

Retail

Smart Inventory Management:

Use IoT sensors to monitor inventory levels and streamline supply chain operations.

Customer Experience Enhancement:

Deploy IoT solutions to personalize customer experiences and optimize store operations.

Start a Conversation
No Pressure, No Commitment

Flexible, fast, and focused — Sphere solves your tech and staffing challenges as you scale.

Luke Suneja

Client Partner

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Customer Voices

Sphere Partners
Selah Ben-Haim VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Sphere Partners
Ben Crawford Senior Product Manager at Enova Financial

I would expect to be delighted. It’s been a really positive experience, working with Sphere, and I would expect you to have the same.

Sphere Partners
Mark Friedgan CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.

Sphere Partners
René Pfitzner Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and work with us.

Sphere Partners
Bruce Burdick Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. Their combination of offshore talent, pricing, and shift offsetting is hard to beat. They provide crucial augmentation to our in-house team. We simply couldn't achieve our production ambitions without their service.

Sphere Partners
Jemal Swoboda CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise to complete their tasks successfully, with the team easily scaled in either direction. The deliverables are always high-quality.

Sphere Partners
Arthur Tretyak Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE…

Sphere Partners
Lee Ebreo VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system. We augmented our development team capabilities using Sphere’s developer, who works very well with our Dev Lead in Chicago. Sphere’s developer was an expert in the new system, and continues to be an expert as we evolve it.

Finance
Banking
Insurance
FinTech

AI-Powered Onboarding Platform Helps PetroLedger Save $1.2M Annually

Sphere built a generative AI onboarding platform that cut ramp-up time by 120% and saved $1.2M annually.
AI-Powered Onboarding Platform Helps PetroLedger Save $1.2M Annually

Test Automation Cuts Mobile QA Time

Sphere built a custom test automation framework for OneMain’s loan app, accelerating QA cycles and freeing up internal dev resources.
Test Automation Cuts Mobile QA Time

Team Velocity Up with Kotlin Migration

Sphere augmented Clearcover’s engineering team to build APIs and migrate from Ruby to Kotlin, boosting velocity and reducing operational costs.
Team Velocity Up with Kotlin Migration

.NET Migration Cuts Bugs, Speeds Dev

Sphere helped Pangea migrate to .NET Core and Docker, reducing bugs and enabling faster development with modern libraries.
.NET Migration Cuts Bugs, Speeds Dev

Sphere in Numbers

We understand that actions speak louder than words and numbers
but here are some key facts about us.

20

Years of Experience

230

Delivered Projects

200+

Senior Specialists

94%

Satisfaction Rate

Let’s Find Solution For You

Latest from Our Tech Blog

Frequently Asked Questions

IoT consulting covers strategy, architecture, and delivery for connected products and operations – devices/sensors, connectivity, edge + cloud, data pipelines, analytics, and the apps your teams actually use. The goal is measurable outcomes like reduced downtime, lower energy spend, safer operations, or better customer experience.

An IoT consultant de-risks the project: selects the right architecture and tech stack, defines the data model and security controls, and turns a business use case into a production-ready solution. You get a blueprint plus a delivery team that can build, integrate, and scale it.

Start with a use-case workshop and a quick technical assessment of your assets, connectivity constraints, and existing systems (ERP/CRM/CMMS/BI). From there, define a “thin-slice” pilot: a small set of devices, one workflow, clear KPIs, and an upgrade path to scale.

Most B2B stacks follow this flow: devices/sensors → gateway/edge compute → secure ingestion (MQTT/HTTPS) → storage + streaming → analytics/ML → business apps + alerts. The design depends on latency, reliability, and data volume (factory floor looks different from retail or healthcare).

A focused pilot usually takes 6–10 weeks when hardware is available and data access is clear. If device procurement, certification, or complex integrations are involved, the timeline shifts to a phased rollout.

Cost is driven by device scope (how many, what type), connectivity, security requirements, and integrations (ERP/CRM/CMMS), plus whether you need analytics/ML. The fastest way to get a reliable estimate is to define a pilot scope with KPIs and a target production scale.

Sphere teams commonly deliver on AWS, Azure, and Google Cloud, and connect IoT data to analytics stacks like Databricks and Snowflake. We also integrate with enterprise platforms such as Salesforce, NetSuite, and automation tools like UiPath.

Yes – IoT becomes valuable when it lands inside workflows your teams already run. Typical integrations include maintenance and asset records, inventory/supply chain signals, customer service cases, and BI dashboards (including NetSuite/Salesforce and data platforms).

Real-time monitoring shows what’s happening now (status, alarms, thresholds, alerts). Predictive maintenance goes further by modeling failure risk and remaining useful life so you can schedule interventions before downtime occurs.

A digital twin is a virtual representation of an asset or system that stays updated using operational data. It’s worth it when optimization matters – energy usage, throughput, wear patterns, scenario simulation, or complex assets where “if/then” decisions save real money.

Edge processing is used when latency is critical, connectivity is unreliable, or data volumes are too high to stream raw. Cloud processing is ideal for scalable analytics, cross-site benchmarking, long-term storage, and centralized governance – many production systems use both.

On the application side: MQTT, HTTP/REST, AMQP; in industrial environments: OPC UA, Modbus; for connectivity: Wi-Fi, Ethernet, LTE/5G, NB-IoT/LTE-M, and LoRaWAN depending on range, power, and bandwidth needs. The choice should match your physical environment and operating model.

Security starts with device identity, encrypted communication, least-privilege access, and safe OTA update paths. On the platform side, we implement monitoring, audit trails, secrets management, and segmentation so a device incident can’t become an enterprise breach.

In a standard B2B delivery model, you retain ownership of your device data and business logic. We help define governance (retention, access control, and lineage) so data can be trusted across teams and tools.

Yes – many clients need monitoring, incident response playbooks, reliability engineering, and continuous improvements (models drift, devices change, networks behave differently over seasons). Post-launch support can be structured as a managed service or a joint runbook with your teams.

Yes – design typically includes privacy-by-design, auditability, access controls, and integration patterns that respect regulated data flows. Compliance requirements (e.g., HIPAA/GDPR) shape architecture decisions early, not as an afterthought.

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