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.
Trusted by Leading Organizations
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
Engineers spend more time managing pipelines and troubleshooting outages than building features. Core projects slow down as support work piles up.
AI 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 AI 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
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.
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.
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 .
Regular performance reviews to right-size resources, tune autoscaling, and eliminate waste. Cloud spending is tracked and optimized without compromising output or latency.
AI-specific security measures (access control, logging, intrusion detection, encryption), along with regulatory compliance and auditing-ready processes. Proactive risk management and policy governance.
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.
Managed AI Case Studies
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By The Numbers
Sphere is the team of leaders
We understand that actions speak louder than words and numbers but here are some key facts about us.
20
Years of Excellence
230
Delivered Projects
200+
Senior Specialists
94%
Satisfaction Rate
What Our Clients Say About Us
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).
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 consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.
Sphere provided excellent full-stack development manpower to augment our team and work with us.
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.
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.
With Sphere, we were able to migrate in half the time it would take to train an additional FTE…
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.