Managed AI Services

Decades of Powering the World's Leading Businesses

Sphere Partners
Sphere Partners
Sphere Partners
Sphere Partners
Sphere Partners
Sphere Partners
Sphere Partners
Sphere Partners
Sphere Partners
Sphere Partners

What Is Managed AI Services?

Managed AI at Sphere means delegating the day-to-day operations of your AI systems to an experienced team. This includes managing data pipelines, monitoring performance, retraining models, maintaining infrastructure, and resolving technical issues before they impact production.

As a result, your team spends less time on maintenance, avoids disruptions, and benefits from AI systems that remain stable and efficient. In other words, Sphere provides the operational discipline needed to support AI at scale. It’s backed by clear accountability, measurable results, and continuous system improvement.

Zero Surprises

We fix issues before you see them. You stay focused on growth.

Clear Ownership

No finger-pointing. We run your stack like it’s ours.
Elastic Engagement

Scale support up or down based on project or workload volume.

Why You Need Managed AI

By 2025, nearly 67% of organizations are leveraging AI-powered tools
to enhance operations. But are they performing at 100%?

In-house teams are stretched and overwhelmed

Engineers spend more time managing pipelines and troubleshooting outages than building features. Core projects slow down as support work piles up.
Al systems require constant attention

Model drift, performance degradation, and rising costs are common without ongoing tuning Left unchecked, these issues affect user experience and ROI.
Scaling Al is harder than starting it

Launching a first version is easy compared to scaling it. As usage grows infrastructure stress rises and production gaps appear.

What We Do

AI Environment Setup
AI Environment Setup

In-depth assessment of your current AI infrastructure, pipelines, and models. This includes identification of bottlenecks, technical debt, and performance constraints. We then design and execute a clear migration plan to transition ownership efficiently.

AIOps
AIOps

Ongoing management of compute, storage, orchestration, and data workflows. AIOps capabilities (automated anomaly detection, incident triggering, root cause analysis) streamline operations and reduce manual firefighting.

Model Lifecycle Operations
Model Lifecycle Operations

Continuous monitoring of model accuracy and drift, with retraining pipelines and version control in place. Ensures production-ready models via seamless updates and rollback mechanisms .

Cost Optimization
Cost Optimization

Regular performance reviews to right-size resources, tune autoscaling, and eliminate waste. Cloud spending is tracked and optimized without compromising output or latency.

Compliance & Governance
Compliance & Governance

AI-specific security measures (access control, logging, intrusion detection, encryption), along with regulatory compliance and auditing-ready processes. Proactive risk management and policy governance.

Business Reporting
Business Reporting

Quarterly reviews that tie technical performance to business KPIs, including model ROI, cost-benefit analysis, stability metrics. Includes actionable recommendations for next-phase scaling or pivots.

Start With a Free Consultation

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

Luke Suneja

Client Partner

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Finance
Retail
Healthcare
Banking

AI Summarization Platform Cuts Research Time by 70% for Financial Teams

Sphere built a GenAI tool that analyzes documents, extracts key insights, and generates executive-ready summaries—turning hours of reading into minutes.
View Case Study Explore Out More
AI Summarization Platform Cuts Research Time by 70% for Financial Teams

Generative AI Helps Retailer Save $7.5M in Working Capital

Sphere developed an AI-driven inventory planning engine that increased accuracy by 83%, reduced overstocking, and unlocked millions in capital.
View Case Study Explore Out More
Generative AI Helps Retailer Save $7.5M in Working Capital

AI-Powered Automation Boosts Order Accuracy and Reduces Costs by 50%

Sphere deployed an intelligent order entry system for a leading medtech company, cutting manual work in half and slashing order processing errors.
View Case Study Explore Out More
AI-Powered Automation Boosts Order Accuracy and Reduces Costs by 50%

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.
View Case Study Explore Out More
AI-Powered Onboarding Platform Helps PetroLedger Save $1.2M Annually

Is Your Organization Ready for AI?

AI can drive real results, but only if your team, data, and systems are prepared for it. Before you invest, make sure the foundations are in place. Use our practical checklist to spot the gaps, avoid false starts, and set your AI projects up for success.

Download
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.

Hear From Our Clients

TOP AI CODE
Generation COMPANY
UNITED STATES 2025

TOP AI TEXT
Generation COMPANY
florida 2025

TOP APP development COMPANY
manufacturing 2025

TOP artificial intelligence COMPANY
united states 2025

TOP chatbot
COMPANY
united states 2025

TOP recommendation systems COMPANY
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20

Years of Experience

4.9*

Clutch.co Review Score

97%

Client retention rate

1600+

Completed Projects

Join 350+ Satisfied Clients

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Frequently asked question

Managed AI services provide end-to-end operational management for your AI systems — from infrastructure and pipelines to model monitoring and optimisation. They ensure your AI runs smoothly in production without draining your in-house engineering capacity.

They eliminate repetitive support tasks so engineers can focus on core product work. Instead of managing data pipelines, retraining models, or troubleshooting outages, your team spends time innovating — while the managed AI provider ensures uptime, performance, and compliance.

Sphere covers the full AI lifecycle:

  • Infrastructure setup and monitoring

  • Data pipeline management

  • Model drift detection and retraining

  • Cloud optimisation and cost control

  • AI governance and compliance reporting

  • 24/7 system monitoring and support

These services combine AIOps practices, predictive analytics, and automation to maintain peak performance.

As organisations scale AI adoption, model management, cloud costs, and compliance grow exponentially. Managed AI services provide a scalable framework — enabling continuous monitoring, elastic infrastructure, and consistent ROI without internal overhead.

Any data-driven organisation can benefit. The most common adopters are in:

  • Banking & Financial Services: model risk monitoring, regulatory compliance

  • Healthcare: AI reliability for diagnostics and analytics

  • Manufacturing: predictive maintenance, process optimisation

  • Logistics & Retail: real-time demand forecasting and automation

By continuously monitoring for model drift, retraining on fresh data, and optimising inference performance, managed services keep models accurate and relevant. This boosts ROI by aligning outputs with real-world business conditions and reducing operational downtime.

Sphere implements enterprise-grade AI governance: secure access control, encrypted data handling, audit-ready logging, and compliance with GDPR, SOC 2, and industry standards. Each managed AI environment is designed for transparency, accountability, and reliability.

Costs depend on project scale, infrastructure complexity, and data volumes. Sphere’s managed AI pricing is flexible — focused on cost-efficiency and measurable value, avoiding hidden overhead and aligning spend with tangible business outcomes.

Most onboarding projects take 2–4 weeks, starting with an AI readiness assessment and environment audit. The process includes infrastructure review, workflow mapping, KPI definition, and gradual migration to managed operations with minimal downtime.

Key metrics include:

  • Model accuracy and drift rates

  • System uptime and failure response time

  • Cost-to-performance ratio

  • Time saved by internal teams

  • Overall ROI from AI investments

Sphere provides transparent reporting dashboards for ongoing visibility.

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