# Sequoia Applied Technologies > Sequoia is a global engineering and technology services firm delivering cloud, AI, IoT, and digital transformation solutions to enterprises worldwide. Founded in 2015 and headquartered in California, Sequoia partners with enterprises across life sciences, manufacturing, energy, semiconductors, and enterprise IT to design and build production systems, combining domain engineering with applied AI. Engineering teams span 15+ countries. Core practice areas: artificial intelligence, cloud engineering, digital transformation, IoT and smart devices, product engineering, and software testing. ## Industries - [Life Science & Healthcare](https://sequoiaat.com/life-science-healthcare): AI-powered clinical systems, lab automation, genomics pipelines, and compliant IT infrastructure for modern care delivery. - [Generative AI in Healthcare & Life Sciences](https://sequoiaat.com/life-science-healthcare/ai-in-healthcare): How generative AI is reshaping clinical workflows and research environments. - [Manufacturing](https://sequoiaat.com/manufacturing): Smart factory systems, predictive maintenance, and Industry 4.0 connectivity that improve efficiency across production floors. - [AI in Manufacturing](https://sequoiaat.com/manufacturing/ai-in-manufacturing): AI and intelligent automation across smart factory environments, predictive maintenance, and supply chain visibility. - [Intelligent Manufacturing: An Outside-In Perspective](https://sequoiaat.com/manufacturing/brief): How precision manufacturers close the gap between customer needs and operational delivery through a common data layer. - [Energy & Utilities](https://sequoiaat.com/energy-utilities): Grid asset monitoring, predictive maintenance, and systems integration for modern utility operations. - [Enterprise](https://sequoiaat.com/enterprise): Cloud infrastructure, application modernization, automation, and cybersecurity solutions for scalable, resilient operations. - [AI in Enterprise](https://sequoiaat.com/enterprise/ai-in-enterprise): Generative AI accelerating digital transformation across cloud infrastructure and application modernization. - [Semiconductor](https://sequoiaat.com/semiconductor): Yield optimization, fab automation, and precision process solutions for high-tech chip production. - [AI in Semiconductor](https://sequoiaat.com/semiconductor/ai-in-semiconductor): AI across yield optimization, fab automation, predictive maintenance, and R&D acceleration. ## Services - [Artificial Intelligence](https://sequoiaat.com/artificial-intelligence): Machine learning, generative AI, NLP, computer vision, and AI integration services that drive measurable business outcomes. - [Cloud Engineering](https://sequoiaat.com/cloud-engineering): Cloud migration, infrastructure automation, multi-cloud strategy, and managed cloud operations. - [Digital Transformation](https://sequoiaat.com/digital-transformation): Strategy, process re-engineering, platform modernization, and change management. - [IoT & Smart Devices](https://sequoiaat.com/iot-smart-devices): Device connectivity, edge computing, smart device development, and enterprise IoT platform integration. - [Product Engineering](https://sequoiaat.com/product-engineering): Architecture, development, deployment, and continuous improvement across modern digital platforms. - [Software Testing](https://sequoiaat.com/software-testing): Functional, performance, security, and automated testing frameworks that ensure quality at every stage of delivery. ## Case Studies Real engagements with quantified outcomes. Full list at [/case-studies](https://sequoiaat.com/case-studies). ### Healthcare & Life Sciences - [AI-Powered Diagnostics for Clinical Signal Processing](https://sequoiaat.com/case-studies/ai-diagnostics-healthcare): A medical device company reduced diagnostic cycle time with a HIPAA-compliant deep learning signal processing platform. - [Genomic Pipeline Test Automation](https://sequoiaat.com/case-studies/genomic-pipeline-test-automation): Cut release cycles from 6 weeks to 2 by replacing manual QA with automated test infrastructure integrated into the pipeline. - [Modular Nextflow Pipeline Rebuild for NGS Workflows](https://sequoiaat.com/case-studies/modular-nextflow-pipeline-rebuild): Rebuilt a brittle shell-script NGS pipeline in Nextflow DSL2 with containerized stages, cutting new-instrument integration from weeks to days. - [On-Premises NGS Deployment for Data-Privacy-Constrained Sites](https://sequoiaat.com/case-studies/on-premises-ngs-deployment): Re-architected a cloud-native NGS platform to run inside closed hospital networks with zero external data dependencies. - [Health System Cloud Migration to HIPAA-Compliant AWS](https://sequoiaat.com/case-studies/health-system-cloud-migration): A multi-site hospital network migrated to AWS with real-time HL7 FHIR R4 data exchange across all facilities. - [Modernizing Enterprise Healthcare Infrastructure](https://sequoiaat.com/case-studies/modernizing-enterprise-healthcare-infrastructure): 40% workflow efficiency improvement, 55% reduction in data silos, 3x faster system integration. - [AI Adoption Across Clinical Operations](https://sequoiaat.com/case-studies/ai-adoption-across-clinical-operations): 3.2x faster clinical intelligence access, 40% reduction in administrative overhead. - [Scaling Connected Healthcare Ecosystems](https://sequoiaat.com/case-studies/scaling-connected-healthcare-ecosystems): 65% infrastructure scalability improvement, 45% faster data sharing. - [Research Acceleration Through Generative AI](https://sequoiaat.com/case-studies/research-acceleration-through-generative-ai): 3.5x faster research analysis, 55% reduction in data processing time. ### Manufacturing - [Predictive Maintenance Intelligence for Industrial Operations](https://sequoiaat.com/case-studies/predictive-maintenance-manufacturing): An industrial manufacturer cut unplanned downtime across three facilities using IoT sensor networks and ML-powered failure prediction. - [Building Connected Smart Factory Environments](https://sequoiaat.com/case-studies/building-connected-smart-factory-environments): 35% OEE improvement, 50% reduction in unplanned downtime. - [Predictive Maintenance Across Production Assets](https://sequoiaat.com/case-studies/predictive-maintenance-across-production-assets): 50% reduction in unplanned downtime, 30% maintenance cost reduction. - [Automated Quality Control in Modern Facilities](https://sequoiaat.com/case-studies/automated-quality-control-in-modern-facilities): 40% faster inspection cycles, 3x inspection throughput. - [Supply Chain Visibility Through AI and IIoT](https://sequoiaat.com/case-studies/supply-chain-visibility-through-ai-and-iiot): 35% inventory optimisation, 45% faster demand response. ### Enterprise - [Accelerating Cloud Infrastructure Modernization](https://sequoiaat.com/case-studies/accelerating-cloud-infrastructure-modernization): 60% faster infrastructure deployment, 40% reduction in cloud costs. - [AI in Enterprise Application Delivery](https://sequoiaat.com/case-studies/ai-in-enterprise-application-delivery): 45% faster release cycles, 99.9% deployment uptime. - [Building Resilient Cybersecurity Frameworks](https://sequoiaat.com/case-studies/building-resilient-cybersecurity-frameworks): 70% faster threat detection, 55% fewer security incidents. - [Intelligent Workflow Automation at Scale](https://sequoiaat.com/case-studies/intelligent-workflow-automation-at-scale): 3x productivity improvement, 65% reduction in manual processes. ### Semiconductor - [Yield Optimization Through AI-Driven Process Control](https://sequoiaat.com/case-studies/yield-optimization-through-ai-driven-process-control): 22% wafer yield improvement, 3x faster defect identification. - [Design Automation Across Advanced Process Nodes](https://sequoiaat.com/case-studies/design-automation-across-advanced-process-nodes): 40% faster tape-out cycles, 30% first-pass silicon improvement. - [Supply Chain Intelligence for Global Fab Networks](https://sequoiaat.com/case-studies/supply-chain-intelligence-for-global-fab-networks): 35% inventory reduction, 45% demand forecast accuracy. - [Predictive Maintenance Across Fab Equipment](https://sequoiaat.com/case-studies/predictive-maintenance-across-fab-equipment): 99.4% equipment uptime, 45% fewer unscheduled maintenance events. ### Energy & Infrastructure - [Smart Water Network Management for Urban Utilities](https://sequoiaat.com/case-studies/smart-water-infrastructure): A regional water utility deployed sensor-driven monitoring to detect leaks in real time and reduce distribution losses at scale. - [Intelligent EV Charging Network Optimisation](https://sequoiaat.com/case-studies/ev-charging-intelligence): An EV charging operator used AI demand forecasting to reduce peak grid strain across 200+ stations. ## Company - [About Us](https://sequoiaat.com/about): Founded in 2015, Sequoia has grown into a global engineering partner spanning 15+ countries — the team and story behind the work. - [Engineering Intelligent Enterprises](https://sequoiaat.com/know-more): Why modern AI initiatives succeed when data, infrastructure, software platforms, and operational workflows operate as a connected system. - [Contact](https://sequoiaat.com/contact): Get in touch to discuss cloud, AI, IoT, and digital transformation engineering engagements. - [Request a Meeting](https://sequoiaat.com/meeting-request): Schedule a meeting to discuss engineering or technology consulting needs. ## Blog - [The New Standard for Intelligent Applications](https://sequoiaat.com/blog/the-new-standard-for-intelligent-applications): Enterprise applications are shifting from software that records activity to systems that participate in decisions. - [Building Scalable Digital Platforms](https://sequoiaat.com/blog/building-scalable-digital-platforms): The distinction between a software product and a platform matters enormously at enterprise scale. - [Responsible AI for Modern Businesses](https://sequoiaat.com/blog/responsible-ai-for-modern-businesses): Responsible deployment is the foundation that makes sustainable AI possible, not a constraint on it. ## Contact - Email: info@sequoiaat.com - Phone: +1-408-675-2800 ## Optional - [Privacy Policy](https://sequoiaat.com/privacy-policy) - [Terms of Service](https://sequoiaat.com/terms-of-service)