Sphere Partners

Enterprise Integration Partners for Scalable Transformation

Sphere integrates leading cloud, data, CRM, and AI platforms into unified enterprise systems. We design integration architecture, implement platform solutions, and embed automation and AI into operational workflows to drive measurable business performance.

Explore Platform Expertise

Integration Partnership is More Than Certifications

As enterprise integration partners, we work across leading technology ecosystems to design, connect, and optimize mission-critical platforms with your real workflow. Our role is not limited to deployment. We evaluate architecture, align data flows, define integration patterns, and ensure every system contributes to operational performance.

We help organizations:

Select the right platform for their strategic goals

Design integration architecture across systems

Implement and customize enterprise platforms

Embed AI and automation into core workflows

Maintain and optimize systems post-launch

Why Integration Partnerships Matter

Enterprise platforms require structured integration to deliver business value. Sphere has architectural discipline, deployment experience, and direct collaboration with platform ecosystems. Sphere clients benefit from:

  • Accelerated deployment timelines
  • Reduced integration risk
  • Platform-aligned security and governance
  • Access to roadmap insights
  • Reusable integration accelerators

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Our Platform Integration Ecosystem

Cloud & Infrastructure

AWS

AWS

Design and implementation of scalable cloud infrastructure, data pipelines, and AI-ready environments. Expertise includes serverless architecture, event-driven systems, and secure multi-account governance.

Microsoft Azure

Microsoft Azure

Enterprise cloud architecture, hybrid infrastructure integration, DevOps pipelines, and data engineering services for regulated and high-scale environments.

Google Cloud

Google Cloud

Analytics platforms, data modernization, and AI infrastructure integration with Google-native services and enterprise workloads.

Data & Analytics

Snowflake

Snowflake

Data warehouse architecture, performance optimization, and integration with AI and BI ecosystems. Experience in structured data modeling and enterprise data governance.

Databricks

Databricks

Unified analytics platforms combining data engineering, machine learning pipelines, and predictive modeling workflows.

Tableau

Enterprise dashboarding, executive reporting, and real-time visualization integrated with operational systems.

CRM & Customer Platforms

Salesforce

Salesforce

CRM implementation, workflow automation, AI integration within customer processes, and enterprise-grade customization across Sales, Service, and Marketing Clouds.

Microsoft Dynamics 365

Microsoft Dynamics 365

CRM and ERP integration, process automation, and analytics-driven customer lifecycle management.

HubSpot

HubSpot

Marketing automation integration, campaign performance tracking, and scalable CRM configuration for growth-focused organizations.

Marketing & Experience Platforms

Adobe Experience Cloud

Adobe Experience Cloud

Digital experience implementation, customer journey orchestration, and analytics-driven personalization strategies.

Optimizely

Optimizely

Experimentation platforms, A/B testing frameworks, and conversion optimization integrated into digital ecosystems.

Enterprise Platforms

SAP

SAP

Enterprise system integration, process automation, and data alignment between ERP environments and modern cloud systems.

NetSuite

NetSuite

ERP customization, financial workflow automation, and integration with CRM, BI, and AI-driven reporting layers.

Atlassian

Atlassian

Workflow optimization, DevOps integration, and enterprise collaboration architecture across engineering and operations teams.

AI Integration & Development Services

Alongside platform implementation and integration, Sphere delivers dedicated AI integration and development services tailored to the systems your organization already runs.

AI capabilities are designed and deployed directly inside your existing workflows, aligned with your data architecture and operational priorities.

CRM-Based AI Automation

AI embedded within Salesforce or Dynamics can automate lead qualification, prioritize opportunities, summarize customer interactions, and support service teams with contextual recommendations — all within the CRM environment.

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Data-Driven AI on Snowflake or Databricks

Predictive models built on structured enterprise data enable forecasting, demand planning, anomaly detection, and performance optimization, fully integrated into your analytics stack.

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AI in ERP & Financial Systems

Inside NetSuite or SAP environments, AI supports financial forecasting, invoice processing, reconciliation, and risk analysis while remaining aligned with accounting logic and compliance requirements.

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Salesforce Optimization Cuts $250K in Annual Costs

Sphere streamlined org setup and removed unused features to cut $250K in licensing and operational expenses for a global client.

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Salesforce Optimization Cuts $250K in Annual Costs

Jira–Salesforce Integration Unifies Teams and Workflows

Custom integration connected Jira and Salesforce for real-time updates, issue tracking, and SLA visibility across support and engineering.

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Jira–Salesforce Integration Unifies Teams and Workflows

Custom Order-Processing App Speeds Fulfillment in Salesforce

Sphere built tailored workflows and approval logic inside Salesforce to standardize order intake and cut manual processing time.

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Custom Order-Processing App Speeds Fulfillment in Salesforce

Migrating a Complex Legacy ERP to Acumatica

A financial services company approached us with their legacy ERP, looking to move to an Acumatica solution within a few months.

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Migrating a Complex Legacy ERP to Acumatica

Hear from

our clients
Lee Ebreo

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 and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

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).

Ben Crawford

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.

Mark Friedgan

Mark Friedgan

CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.

René Pfitzner

René Pfitzner

Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.

Bruce Burdick

Bruce Burdick

Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.

Jemal Swoboda

Jemal Swoboda

CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.

Arthur Tretyak

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… and for a fraction of the cost. Our experience with Sphere has been exceptional.

Lee Ebreo

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 and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

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).

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Frequently asked questions.

An enterprise integration partner designs, connects, and optimizes a company's core technology platforms – cloud, data, CRM, ERP, and AI systems – so they operate as one unified system rather than disconnected tools. Sphere acts as this partner across leading ecosystems including AWS, Azure, Google Cloud, Snowflake, Databricks, Salesforce, Microsoft Dynamics 365, SAP, and NetSuite, handling architecture design, implementation, and ongoing optimization rather than deployment alone.
Sphere integrates platforms across five categories: cloud and infrastructure (AWS, Microsoft Azure, Google Cloud), data and analytics (Snowflake, Databricks, Tableau), CRM (Salesforce, Microsoft Dynamics 365, HubSpot), marketing and experience (Adobe Experience Cloud, Optimizely), and enterprise systems (SAP, NetSuite, Atlassian). Each integration covers architecture design, data-flow alignment, customization, and post-launch optimization.
A certification confirms a vendor knows how to deploy a product; an integration partnership covers how that product fits a company's real workflows, data architecture, and operational goals. Sphere evaluates architecture, aligns data flows, defines integration patterns, and embeds AI and automation into core processes – work that extends well beyond installing or configuring a single platform.
Yes. Sphere embeds AI directly inside existing platforms rather than requiring a separate system. Examples include AI in Salesforce or Dynamics 365 to automate lead qualification and summarize customer interactions, predictive models on Snowflake or Databricks for forecasting and anomaly detection, and AI inside NetSuite or SAP for invoice processing, reconciliation, and financial forecasting – each aligned to the host platform's existing logic and compliance rules.
Working with an integration partner delivers faster deployment timelines, lower integration risk, platform-aligned security and governance, access to vendor roadmap insights, and reusable integration accelerators that shorten future projects. These come from combining architectural discipline with direct collaboration across platform ecosystems, so systems are connected correctly the first time.
Yes. Sphere supports regulated and high-scale environments, with experience in financial services, healthcare, insurance, and oil and gas. Integrations are built with platform-aligned security and governance, and AI deployed inside ERP and financial systems is kept consistent with accounting logic and compliance requirements.
Sphere starts with a workflow shortlist and feasibility review, then defines a target architecture with control points, and sets a first milestone with measurable success metrics. This produces a clear roadmap before build work begins, so scope and expected outcomes are agreed upfront.
Agentic AI is a system that can plan and execute multi-step work by calling tools and other systems on its own, operating within defined controls and full auditability. In an enterprise integration context, agentic AI runs inside your existing platforms and data architecture rather than as a standalone bot.
Yes. Connecting CRM, ERP, and data systems into a single operational flow is a core part of Sphere's integration work – for example, aligning Salesforce or Dynamics 365 with NetSuite or SAP and feeding both into Snowflake or Databricks for unified analytics and AI-driven reporting. The goal is one coherent data flow across customer, financial, and analytical systems.
Sphere's AI integration projects have produced documented outcomes including $7.5M in working-capital savings from an AI inventory-planning engine that improved forecast accuracy by 83%, a 50% reduction in order-processing costs for a medtech manufacturer, a 70% cut in research time for financial teams via AI summarization, and $1.2M in annual savings from an AI onboarding platform built for PetroLedger.
You start by sharing your needs through Sphere's contact form to receive a clear roadmap. Sphere's team responds with a workflow shortlist, a target architecture, and a defined first milestone, so you have concrete next steps before committing to a build.

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