We help enterprises build scalable, secure, cost-efficient cloud environments that unlock advanced analytics, automation, and real-time decision intelligence, with AI-enhanced cloud modernization.

Sigmoid offerings for cloud transformation

Our framework for cloud data warehouse solution

Sigmoid’s cloud migration solutions enable organizations to assess cloud maturity, design robust adoption strategy, migrate from on-premise to cloud as well as optimize costs and resources in the long run.

Why choose Sigmoid?

Proven expertise in AI-led cloud modernization

Sigmoid embeds AI into every stage of the cloud journey, from workload assessment to migration, orchestration, and optimization. Our AI-first approach enables cloud platforms that self-tune for performance, reliability, and scale.

Building enterprise-grade multicloud platforms

We architect cloud platforms with intentional multicloud interoperability, not as an afterthought. Sigmoid’s approach gives enterprises the freedom to deploy workloads where they perform best across AWS, Azure, and Google Cloud.

Intelligent cloud cost management

Sigmoid delivers cloud cost optimization through intelligent engineering. At the core of this capability is Sigmoid CloudPulse, our AI-powered accelerator that brings real-time visibility into cloud resources, workloads, and cost behavior across multi-cloud environments.

Delivering secure and compliant cloud foundations

We deliver secure, compliant, and resilient cloud environments with automated controls, continuous compliance, proactive threat protection, and end-to-end policy enforcement.

EBOOK

A guide to cloud data warehousing

Find out how enterprises can reap multiple benefits from a cloud data warehouse, transform to a cloud-first data strategy, and drive successful analytics initiatives. Whether it is an AWS cloud migration for data warehouse or Snowflake's innovative solutions, this whitepaper provides essential insights to elevate your data strategy.

Download eBook
cloud data warehousing ebook

Store, analyze & scale data seamlessly with
cloud tech stack

We leverage cloud based tech stack like AWS, Azure and Google Cloud Platform etc. for data modernization ensuring robust, scalable and cost effective solutions for your data needs. Additionally, our cloud experts provide flexibility in processing and analyzing data, empowering teams to derive meaningful insights from diverse data sources and enable cloud data migration across platforms which helps businesses increase performance, scalability, and security with high uptime and secure, seamless access to quality data.

Reckitt's cloud optimization journey with Sigmoid

“Sigmoid has been a vital part of our success story. They are highly skilled and knowledgeable in managing data in multi-cloud environments and with their expertise we have been able to achieve cloud cost visibility at an appropriate level across our cloud infrastructure.”

Aritro Ghosh

IT&D Senior Data Engineering Manager, Reckitt

Success stories

Our other offerings in data engineering

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Data Pipelines

Build robust automated pipelines to streamline huge volumes of data and optimize query performance to generate faster insights.

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ML Engineering

Strengthen ML model lifecycle management and accelerate the time to business value for AI projects with robust ML engineering services.

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DataOps

Managed services to help automate end-to-end enterprise data infrastructures for agility, high availability, better monitoring, and support.