Enterprise Asset Monitoring — Deployed in Days Using AWS IoT Frameworks

Sphere accelerates enterprise IoT asset monitoring deployments using AWS’s Subeca and Garnet frameworks – pre-built IoT solution accelerators that cut deployment time from months to days. Get a production-grade asset monitoring platform without building from scratch.

80%

Faster Deployment vs Custom Build

AWS Native

No Proprietary Lock-In

Pre-Built

Data Models & APIs

6 months

Time to Value

Why This Matters Now

Enterprise IoT asset monitoring projects routinely take 18–24 months from kickoff to production – not because the technology is hard, but because teams spend 70% of their time building undifferentiated infrastructure: device connectivity, data ingestion pipelines, API layers, and security frameworks. Every company rebuilds the same plumbing.

1. Building IoT Plumbing From Scratch Wastes Months

Device management, data ingestion, API design, and security configuration are common requirements for every IoT project – yet most teams build them from scratch, adding 12–18 months to deployment timelines.

2. Custom Builds Create Proprietary Lock-In

Home-grown IoT platforms become unmaintainable over time as original developers leave. AWS-native frameworks ensure long-term supportability and upgrade paths.

3. Talent Gaps Slow Deployment

Few organizations have teams with deep expertise in both IoT hardware protocols and cloud architecture – creating bottlenecks at every phase of deployment.

What Sphere Delivers

AWS’s Subeca and Garnet frameworks provide pre-built, production-grade IoT infrastructure components – device registry, data ingestion APIs, digital twin models, and security frameworks – that Sphere configures and extends for your specific monitoring use case. What would take 18 months to build from scratch deploys in 6–8 weeks.

Built On Industry-Leading Technology

Sphere’s platform runs on an AWS-based architecture built to accelerate infrastructure monitoring without forcing teams into a long custom build cycle. The stack combines AWS IoT services, Subeca’s data platform, the AWS Garnet smart territory framework, open data standards, and flexible protocol support to connect assets, structure data, and move from ingestion to operational insight on a production-ready foundation.

Who This Is For

INDUSTRY

VERTICAL APPLICATION

Water Utilities

Deploy AMI (Advanced Metering Infrastructure) analytics on AWS using Subeca’s pre-built water utility data models.

Smart Territory Management

City and regional governments using Garnet to manage multi-stakeholder IoT deployments across a defined territory.

Industrial Asset Monitoring

Rapid deployment of equipment monitoring across manufacturing or energy facilities using pre-built digital twin models.

Real Estate Portfolios

Building and facility asset monitoring across large property portfolios using standardized data models for multi-tenant analytics.

SAccelerate Your IoT Deployment With AWS Frameworks

Schedule a free 30-minute workshop with Sphere’s AWS IoT certified architects to see how Subeca and Garnet frameworks apply to your specific asset monitoring use case – and get an honest deployment timeline and cost estimate.

How It Works

 Use Case Workshop

Sphere conducts a 3-day workshop to map your assets, define monitoring requirements, and select the appropriate framework components.

Framework Deployment

Deploy Subeca/Garnet infrastructure on your AWS account using Sphere’s certified CDK templates. Typically completed in 1 week.

Asset Onboarding

Configure digital twin models for your specific asset types. Connect existing devices or deploy new sensors.

Go Live & Handoff

Platform goes live with full documentation. Sphere provides 90-day hypercare support and optional ongoing managed services..

ROI & Bussines Impact

Companies using AWS IoT frameworks via Sphere save an average of 14–18 months of development time – representing $800K–$2M in avoided engineering cost.

Time-to-value drops from 18+ months to 6–8 weeks, enabling faster realization of operational benefits (cost savings, loss prevention, compliance) that typically total $300K–$1.5M annually.

Let’s Connect

Trusted by

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

Luke Suneja

Client Partner

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Hear From Our Clients

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.

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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

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Frequently asked question

The AWS Subeca framework for IoT is a pre-built data platform approach for utility and infrastructure monitoring that includes data models, ingestion patterns, and API foundations. The AWS Subeca framework helps organizations launch connected monitoring systems faster by reducing the amount of custom platform code needed at the start.

The AWS Garnet framework is used for smart territory applications that need geospatial asset tracking, multi-stakeholder data sharing, and interoperable infrastructure data models. AWS Garnet is especially useful when monitoring systems need to connect places, assets, events, and operational boundaries in one environment.

Digital twin models in infrastructure monitoring create structured digital representations of meters, sensors, vehicles, equipment, and other field assets. Digital twin models make it easier to analyze asset state, compare expected versus actual behavior, and support more advanced monitoring, simulation, and decision-making.

NGSI-LD is an open standard for context information management that helps IoT platforms structure, exchange, and update entity data in a consistent way. NGSI-LD matters because NGSI-LD makes infrastructure monitoring systems more interoperable, easier to integrate, and less dependent on one proprietary data model.

FIWARE interoperability is the ability to exchange context data across platforms using FIWARE-aligned standards and architectures. FIWARE interoperability is valuable in smart infrastructure projects because FIWARE-compatible systems are easier to connect with outside analytics tools, public-sector platforms, and future technology investments.

An AWS IoT infrastructure monitoring platform reduces deployment time by using pre-built frameworks for device connectivity, data ingestion, asset modeling, and security instead of building every component from scratch. That approach helps teams move into production much faster and lowers the custom engineering burden.

Open standards in utility and infrastructure monitoring improve data portability, simplify third-party integration, and reduce long-term lock-in. Open standards are especially important when infrastructure data needs to move across analytics tools, operational systems, public-sector stakeholders, and future platform extensions.

AWS IoT Core and IoT SiteWise can work alongside Subeca and Garnet to support device connectivity, industrial data modeling, and smart territory applications in one architecture. That combination helps organizations connect raw device telemetry with structured asset models, geospatial logic, and broader operational workflows.

An infrastructure IoT platform should support protocols such as REST, MQTT, and AMQP so different devices, systems, and applications can exchange data reliably. Broad protocol support matters because infrastructure environments usually include mixed hardware, legacy systems, partner platforms, and different integration patterns.

uyers should look for pre-built data models, digital twin support, open standards, geospatial capabilities, secure device connectivity, and flexible protocol integration. The right AWS smart infrastructure platform should help teams launch faster, reduce custom code, and keep future integration options open.

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