Turn Data into Scalable, AI-Ready Assets
Unlock the true potential of your data with our Data Productization and Engineering services. We convert complex, fragmented data into structured, cloud-native, and AI-ready products, accelerating decision-making and insights across your enterprise.
What are your goals?
Our Data Productization and Engineering services support a variety of industries, helping organizations streamline their data workflows and accelerate insights.
Healthcare & Life Sciences
Regulatory Compliance & Risk Management
AI/ML Model Training
Business Intelligence & Analytics
Accelerate
Groundbreaking LLM
Innovations
Whatever your state of readiness, Rearc helps you build groundbreaking GenAI solutions on your cloud of choice.
Data Ingestion and Integration
We start by ingesting data from diverse sources—whether it's from internal systems, third-party services, or scientific databases. This integration is critical for providing a comprehensive view of your data.
Semantic Normalization and Ontology Mapping
We normalize raw data using industry-standard ontologies and taxonomies (e.g., SNOMED, UMLS) to create semantic layers that ensure consistency, accuracy, and interoperability across your datasets.
AI-Ready Data Modeling
Using advanced data engineering techniques, we structure your data to be compatible with AI/ML pipelines. We generate feature stores, vector embeddings, and enhanced metadata to make your data AI-ready.
Delivery and Interoperability
Our cloud-native infrastructure ensures seamless delivery to platforms like BigQuery, AWS, or Azure, providing your teams with instant access to data in the format that best suits their needs (e.g., APIs, Parquet, CSV).
Continuous Monitoring and Governance
We implement robust monitoring and governance systems, including lineage tracking and version control, ensuring compliance and data quality throughout the product lifecycle.
Unlock the Full Value of Your Data
Our Data Productization services ensure that your data is structured, accessible, and ready for advanced analysis. With our industry-specific expertise, your data can be turned into an asset that drives business growth, innovation, and compliance.
Scalable Data Infrastructure
Accelerated AI/ML Integration
Interoperability Across Platforms
Enhanced Data Governance
Media Intelligence
Next-Gen Analytics
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
GenAI Quickstart
Rearc's GenAI Quickstart service is designed to help your organization harness the power of generative AI quickly and effectively.
Generative AI Workshops
A 1-2 day workshop to guide you from an initial idea to a detailed GenAI use-case, complete with an implementation plan.
Machine Learning Operations (MLOps)
Machine learning and generative AI depend on your data. MLOps helps automate the process.
Driving Customer Value
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.
Next steps
Ready to talk about
your next project?
Tell us more about your custom needs.
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Kick-off meeting
We deliver the best results with our partnerships
