Saviant Consulting

Saviant is a technology services firm that builds digital products, platforms and engineering solutions for manufacturers of industrial machines, embedded devices and related SaaS businesses. The company works with clients across North America and Europe, with stated engagements involving organisations in the United States, Canada, the United Kingdom, Australia and Germany. The organisation provides engineering and product development services focused on machine-connected systems and data-driven operations.

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Services and Capabilities

• Industrial IoT and device connectivity: integration of sensors and devices with cloud backends and on-premise systems for remote monitoring and control.
• Data platforms and analytics: design and implementation of data ingestion, storage and analytics pipelines that deliver real-time insights and reporting.
• Machine learning and predictive maintenance: development of models and workflows to detect abnormalities, predict equipment health and trigger maintenance actions.
• SaaS product engineering: end-to-end delivery of cloud-hosted software platforms, including multi-tenant architectures and intellectual property transfer to clients.
• Embedded and device-native software: firmware and edge software engineering to enable intelligence on devices and interoperability with mobile and cloud applications.
• DevOps and accelerated delivery: sprint-based delivery, continuous integration/continuous deployment pipelines and automation to shorten time-to-deployment.

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Industry Focus

• Machinery and equipment manufacturing: implementation of connected platforms, device control features and analytics to support product enhancement and customer integration.
• Smart metering and utilities: delivery of IoT-enabled metering solutions and analytics for usage monitoring and operational alerts.
• Industrial manufacturing and engineering: integration of sensors, telemetry and data processing to support operational monitoring and engineering workflows.
• SaaS providers for industrial customers: building cloud-based services and platforms that package device data and analytics for commercial distribution.

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Technology and Delivery Approach

• Technical themes include cloud-native architectures, IIoT integrations, data engineering, machine learning and automation of build and deployment processes.
• Delivery practices described include short delivery cycles, structured sprints, DevOps automation and transfer of platform IP to clients where required.
• Partnerships and platform work reference cloud providers and industrial software vendors to support scale and integration with enterprise systems.
• Work execution combines embedded device software, mobile interfaces and cloud backends to create end-to-end connected solutions and operational analytics.