Lume AI: Automated Mapping, Normalization & Pipeline Building

Lume AI automates data mapping, normalization, and pipeline building. Map any source to any target, ingest and normalize data, and build pipelines in seconds.

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Lume AI: Automated Mapping, Normalization & Pipeline Building
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What is Lume AI?

Lume AI revolutionizes data handling with its advanced AI technology, automating the mapping of data sources to target schemas seamlessly. This enables teams to efficiently ingest, normalize, and pipeline data across diverse systems, all within moments.

How to use Lume AI?

Lume AI's Core Features

AI-driven data mapping automation

Instant data mapping with AI

Scalable data ingestion

Normalization of legacy data

Rapid pipeline creation

Automated mapper maintenance

Resolving complex data issues with AI

Mapper review and deployment

SOC 2 compliance

Eliminate manual data mapping

Lume AI's Use Cases

Client data ingestion

Normalization of disparate systems

Data pipeline construction and maintenance

FAQ from Lume AI

What is Lume AI?

Lume AI automates the data mapping process using cutting-edge AI. This allows seamless mapping of any source data to any target schema, facilitating swift data ingestion, normalization, and pipeline creation.

How to use Lume AI?

Incorporate Lume AI's AI-powered mapping into your systems to avoid manual data wrangling and streamline your data operations.

How can Lume AI help my team?

Lume AI accelerates data mapping, enabling your team to quickly ingest, normalize, and manage data pipelines, enhancing efficiency and productivity.

Is Lume AI secure?

Security is paramount at Lume AI, which is why we are SOC 2 Type-1 Certified and are in the process of Type-2 monitoring to ensure the highest security standards.

Can Lume AI handle complex data mappings?

Absolutely. Lume AI excels at managing complex data mappings, leveraging AI to transform and streamline data processes.

Can I review and deploy my data mappers with Lume AI?

Yes, Lume AI allows you to save, review, and deploy your data mappers, ensuring precise and consistent future data mappings.