Supporting your Cloud, Data, and AI Journey
We offer a variety of services for both enterprises and startups, focused around DevOps and dealing with data
Generative AI / Machine Learning
Machine learning and generative AI both learn from data, but their purposes and strategies differ. Here's how: Machine learning is focused on analyzing data to find patterns and make accurate predictions. GenAI, on the other hand, is focused on creating new data that resembles training data
Machine Learning Operations (MLOps)
Machine learning and generative AI depend on your data. MLOps helps automate the process.
Relevant resources
Components of a RAG Chatbot
RAG LLM architectures can be complex, but there's a lot of overlap among common use cases
Automating Manual Data Extraction
Leveraging the best of humanity and automation while keeping it easy on developers
Images in RAGs
Describing, retrieving, and learning from images in a Retrieval Augmented Generation chatbot
Data
Our array of services is extensive, comprehensive, and endlessly adaptable, ensuring you receive precisely what aligns with your specific needs and preferences.
Data Collaboration and Sharing
Data Collaboration and Sharing is a powerful concept that allows enterprises to unlock unique use cases for their organization. These use cases must be supported with the appropriate design that takes into consideration the security and privacy while still achieving appropriate utility. Rearc can help implement an appropriate solution to meet your Data Collaboration needs.
Data Migration
Data curation is the organization and integration of data collected from various sources. It involves annotation, publication and presentation of the data so that the value of the data is maintained over time, and the data remains available for reuse and preservation.
Unity Catalog Migration
Rearc can help you migrate your existing Databricks resources to Unity Catalog in the blink of an eye.
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Databricks Clean Rooms
Collaborate with partners utilizing Databricks Clean Rooms
Marketplace Manager
Ingest data products from multiple marketplaces into Databricks
Global Epidemiology Data Lake
As a biotechnology company on the cutting edge of MRNA therapeutics, our customer needs detailed and low-latency data on COVID-19 cases and vaccination rates from health departments and organizations around the world in order to monitor the distribution and efficacy of their vaccines and to understand the spread and evolution of the virus.
Cloud
Powerful & flexible cloud platforms are the foundation for rapid, secure software development at scale. Rearc helps enterprises navigate the DevOps and cloud landscape with our experienced and talented engineers.
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Large Scale M&A Cloud Migration
The Alight M&A Cloud Migration Engagement was a year-long multi-faceted large-scale cloud migration project.
Kubernetes Platform Implementation
Kubernetes-based platform that allowed spinning up clusters on demand in AWS and private cloud.
Product Launch
Rearc provided tactical DevOps triage and implementation services for Q5id immediately before their scheduled national product launch. Beginning with a solid yet unscaled platform, Rearc delivered a robust solution including a full migration to Kubernetes.
Security
Going hand-in-hand with the developing a mature cloud platform is security. Rearc guides customers on their cloud journey to naturally incorporate security into their SDLC.
Relevant resources
Cloud Security Posture Modernization
Rearc delivered a mature organizational structure based on compliance needs, granular security controls, and CSPM integrations, using AWS Control Tower, Organizations, and related services.
Secure Application Build and Deploy Pipeline
Rearc engaged across the customer organization (security, infrastructure, cloud, and operations) to design and deliver a software delivery pipeline and application landing zone that included: integrated security checks, centralized logging and monitoring, GitFlow development principles, strong environment isolation, and enhanced environment visibility.
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.
Need a custom solution?
You do not need to stick to ready to use solutions. We are flexible and can adapt to design solutions tailored to your specific business requirements.
Ready to talk about your next project?
Tell us more about your custom data needs.
We’ll get back to you, really fast
Kick-off meeting