Everestek

Everestek is a technology services company that provides software and systems development, automation, artificial intelligence, cloud, and data solutions. The organisation operates with offices in the United States and India and serves clients across those regions. Business activity focuses on delivering technology products and implementations for commercial customers and partner organisations.

Services and Capabilities

• Custom application development — design, build, test, and deploy web and mobile applications to production-quality standards.
• Automation and workflow implementation — creation of automated business processes, integrations, and robotic or scripted automation to reduce manual work.
• AI and GenAI solutions — development and integration of generative AI features into products, including model integration and prompt engineering for user-facing systems.
• Cloud engineering and migration — cloud-native system design, deployment on cloud platforms, and infrastructure automation.
• Data platforms and analytics — data ingestion, storage, reporting, and analytics solutions to support decision-making and product features.
• Quality engineering and testing — implementation of testing frameworks, continuous integration/continuous delivery (CI/CD), and production-quality verification.

Industry Focus

• Business and enterprise software — delivery of custom software and platform components for commercial organisations.
• Product engineering for software vendors and partners — development and production hardening of software products and features.
• IT and cloud services for organisations operating across the US and India — cloud deployments, infrastructure automation, and operational tooling.

Technology and Delivery Approach

• Emphasis on systems integration and platform delivery, including connecting applications, data sources, and cloud infrastructure.
• Use of data platforms and analytics to support product features and operational reporting.
• Automation of development and operational workflows through CI/CD pipelines and infrastructure-as-code practices.
• Incorporation of AI/GenAI components into applications, with attention to user experience and production readiness.
• Team-based delivery with collaborative client engagement to capture requirements, iterate on designs, and deploy production-quality systems.