Cloud. Data. GenAI.
Your trusted partner, driving business value through innovation and engineering delivery excellence.
We empower builders to drive innovation_
Rearc is a boutique, engineering-driven services firm. Our deep care for our people and customers allows us to achieve substantial results with small teams and fosters creativity at the edge of what’s possible.
Our Services
Our array of services is extensive, comprehensive, and endlessly adaptable, ensuring you receive precisely what aligns with your specific needs and preferences.
GenAI Quickstart
Rearc helps you build foundational Generative AI capabilities and fine-tuning to evaluate and implement LLM use-cases such as RAG.
GenAI Workshop
A 1-2 day workshop to guide you from an initial idea to a detailed GenAI use-case, complete with an implementation plan.
Secure Data Collaboration
Share insights across internal business units, perform joint analytics with partners, and develop new ML models with collaborators.
Data Platform Foundation
Rearc helps build your foundational Data Platform capabilities to enable data ingestion, sharing, ETL, governance, warehousing, monitoring and analytics.
Cloud Platform Engineering
Rearc helps you secure your enterprise’s Software Development Lifecycle (SDLC), whether it's software products, delivery pipelines, or a cloud environment.
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Comprehensive CI/CD from Testing to Deployment
We partnered with M.Shanken to build a comprehensive CI/CD solution, including everything from infrastructure as code to a deployment environment.
Kubernetes Platform Implementation
Kubernetes-based platform that allowed spinning up clusters on demand in AWS and private cloud.
Cloud Governance for Security, Compliance, and Cost
A Fortune 250 insurance company’s migration to the cloud is going full steam ahead across all homegrown and acquired business units. As the access and responsibility for cloud assets was delegated out to more teams beyond the cloud center of excellence, operational risks emerged and costs rose. Sharing best practices, standards, and learnings through word of mouth and wikis become inefficient. It became apparent that a cohesive strategy to secure and govern cloud resources across all cost centers was needed.
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