[Solutions · Cloud engineering]
Move applications, data, and critical workloads to the cloud while maintaining the reliability, security, and operational continuity your business depends on. We help enterprises like yours modernize, optimize costs, and build the foundation for analytics and AI.
cloud spend reclaimed
Monitoring and reliability
Line-stopping cutovers, migration runs in staged moves

[Cloud Capabilities]
Cloud transformation doesn't end after migration. We help organizations plan, build, secure, optimize, and operate cloud environments that support both today's workloads and tomorrow's business priorities.
Strategy, migration, and cloud-native development

Build a roadmap that aligns cloud investments with business goals. Our cloud engineers help you assess readiness, define migration priorities, evaluate architecture options, and create a clear path for modernization that balances cost, risk, and operational requirements.

Move workloads to the cloud with minimal disruption. Whether modernizing legacy applications or migrating existing infrastructure, we help organizations transition in controlled phases that reduce risk and maintain business continuity.

Build applications that are easier to scale, maintain, and evolve. Modern architecture help improve agility, accelerate delivery cycles, and support future growth without increasing operational complexity.
Monitor, optimize, and secure in production

Improve visibility and control over your cloud spend. Our team assists you in reducing waste, optimizing resource utilization, and establish governance practices that help cloud investments deliver measurable business value.

Protect your critical systems, data, and operations from Day 1. Build security into the cloud environment from day one with access controls, monitoring, encryption, and governance aligned to enterprise requirements.

Maintain reliability across your cloud environment. Monitor performance, resolve issues proactively, and support day-to-day operations through continuous management and optimization.
[Proven Results]
The strongest GenAI programs solve a specific operational problem first. These are the outcomes manufacturing and automotive organizations commonly achieve through AI-powered assistants, automation, and workflow orchestration.
Cost
Cloud spend optimized through continuous cost governance and resource optimization
Continuity
Faster employee productivity through instant access to operational knowledge
Reliability
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Monitoring and operational support across critical cloud workloads
Foundation
Governed cloud foundation supporting analytics, AI, and future modernization - Foundation
[Who We Work With]
Cloud modernization impacts multiple stakeholders from business operations and infrastructure teams to finance leaders responsible for technology investments.
[For the VP of Operations]
Move critical systems to the cloud while maintaining connectivity to the operational platforms and processes that keep production running.
[For the CIO of Infrastructure]
Build a cloud environment that is secure, scalable, and manageable while maintaining visibility across migration, operations, and optimization.
[For the CFO & Cost Owner]
Improve visibility into cloud costs, establish accountability, and ensure investments remain aligned with business value.
[Common Questions]
Yes. Ascentt migrates in staged, mission-scoped moves rather than a single high-risk cutover, so production systems keep running. Each move is scoped to a contained set of workloads, validated against your operational systems, and reversible if needed, which keeps the line running while the estate modernizes around it.
Manufacturing cloud has to connect with the systems that run the floor: OT, MES, ERP, historians, and plant-edge data. Ascentt builds for that reality, treating latency, plant connectivity, and operational continuity as first-class requirements rather than afterthoughts, which generic IT migrations routinely miss.
Cost control is engineered in through FinOps practice: right-sizing, autoscaling, committed-use planning, and continuous cost monitoring tied to workload owners. Ascentt treats cloud spend as an operational metric with named accountability, not a bill that arrives at month end.
No. Ascentt runs modernization and operations as one practice. The same team that re-architects your workloads also monitors, secures, and optimizes them in production, so modernization does not create an operations gap and operational knowledge feeds back into the next modernization step.
Ascentt engineers on AWS, Azure, and Google Cloud, with data platform work on Databricks and the cloud-native data services that fit your estate. The platform choice follows your existing investments and operational needs, not a fixed preference.
[Continue Reading]
Our AI advisory engagements are designed for senior leaders in manufacturing and automotive enterprises who are tired of AI pilots that never reach production and ready to own a measurable outcome inside one quarter.
Solutions · think
Prioritize modernization and AI investments based on business impact, execution readiness, and measurable outcomes.
Solutions · think
Use your cloud & data foundation to improve forecasting, reliability, quality & operational performance through machine learning.
Solutions · think
Six-capability practice plus GenBI natural-language analytics governed by your semantic layer.