Fix the parts of your system that slow you down

Platform Modernization

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Most platforms reach a point where growth is blocked by legacy code, brittle integrations, and outdated release pipelines. Every change gets slower. Incidents become harder to trace. Cost rises with every patch, workaround, and delay.

Sphere modernizes platforms where stability and speed are compromised. We isolate high-risk components, refactor critical paths, upgrade infrastructure, and ship changes safely under full production load. Our expertise spans containerized systems, cloud-native runtimes, event-driven architecture, and AI/ML tooling, but only when these technologies address real operational challenges.

80+

enterprise apps and products optimized by Sphere.
92%

of modernized systems show improved deployment speed.
2x

faster feature delivery after removing legacy bottlenecks.

Trusted by leading brands and startups

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

What We Do

Risk and Value Assessment
Risk and Value Assessment

A deep scan that inventories every app, scores risk vs. business value, and hands you a sequenced modernization backlog with ROI and cost numbers attached.

Legacy Modernization
Legacy Modernization

For each high-risk module we pick the right 4Rs path, wrap it with tests, upgrade dependencies, and close security gaps. Incidents drop, releases stop breaking.

AI Enablement
AI Enablement

Stand up an event stream and governed feature store so real-time data flows into dashboards and production ML models. This way, your core systems never get overwhelmed.

Cost-Controlled Cloud Scale
Cost-Controlled Cloud Scale

Pull heavy paths into containerized services, turn on autoscaling, and add FinOps guardrails. Peak throughput rises while run-rate spend falls 25-40 %.

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Our Differentiators

Modernization Without Downtime

Changes are rolled out in production without service interruption. Upgrades are planned to avoid business risk and preserve system availability.
Full-Stack Engineering Teams

Projects are staffed with backend, infrastructure, data, and security engineers. All core work is done in-house with no dependency on third parties.
Product Track Record

Engineered 80+ applications across platforms, industries, and tech stacks. Deep knowledge of system behavior under load, scalable architecture patterns, and full product life cycles.
Cloud Delivery Expertise

With over decade of experience, our  team delivered 75+ cloud-native systems with a focus on scalability, cost control, and long-term reliability.

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

Platform Optimization FAQ

Clients typically see:

  • 2x faster feature delivery after eliminating bottlenecks

  • 25–40% reduction in cloud spend after re-architecting for efficiency

  • 92% improvement in deployment speed for modernized systems

  • Fewer incidents and improved system stability

What is platform optimization and why is it important?

Platform optimization involves identifying and fixing performance bottlenecks, technical debt, and architectural constraints in your digital systems. It ensures your application stack is scalable, stable, and cost-efficient—especially important when legacy code, brittle integrations, or outdated CI/CD pipelines start slowing delivery and increasing incident rates.

We start with a Risk and Value Assessment—analyzing every component in your stack for business value, technical risk, and ROI. From there, we apply the right modernization strategy (rehost, refactor, replatform, or retire) per module, with automated testing, dependency upgrades, and security remediation. Our modernization work minimizes disruption and keeps systems running smoothly during rollout.

Yes. At Sphere, we specialize in zero-downtime modernization. We apply gradual rollouts using feature flags, blue/green deployments, and shadow traffic techniques to ensure systems stay live throughout infrastructure upgrades or refactors. This approach is proven in production environments across finance, healthcare, and logistics.

We optimize enterprise platforms across a wide range of industries—finance, healthcare, logistics, e-commerce, and B2B SaaS. These systems include monolithic applications, distributed services, cloud-native architectures, and hybrid environments. We’ve modernized over 80 enterprise-grade platforms, including critical business systems with high uptime requirements.

Sphere has deep experience with AWS, Microsoft Azure, Google Cloud Platform (GCP), and hybrid/on-premises environments. We design systems to autoscale efficiently, control run-rate costs with FinOps principles, and ensure portability across environments when needed.

Our team enables AI adoption through event-driven architecture and real-time data infrastructure. We build governed feature stores, establish secure data pipelines, and integrate with ML platforms—making sure AI workloads don’t overwhelm your core systems.

We use a proven approach for stable rollouts in live environments—segmenting changes, applying test coverage, monitoring key metrics, and rolling back safely when needed. This ensures every step adds value without risking core operations.