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Ship Data Pipelines Ridiculously Fast

Ship Data Pipelines Ridiculously Fast

Magic Data is an AI-enabled IDE that will ask you the right questions, explore your data, architect your pipeline, write code, and deploy everything for you. Have your data moving, processing and empowering your operations ridiculously fast.

See a demo

See a demo

See a demo

What Magic Can We Weave?

Access and manage your data, without writing code. The possibilities are only limited by your imagination.

Access and manage your data, without writing code. The possibilities are only limited by your imagination.

Access and manage your data, without writing code. The possibilities are only limited by your imagination.

BI Pipelines Made Easy

Get your data ready for Power BI, Mode, Tableau, and more! Tell Magic Data where to grab your internal data, how you want it transformed, and where you want it delivered. Watch your data pipeline unfold in realtime.

Monitoring and Alerts

Ask Magic Data to monitor any data source to receive alerts whenever you want. Magic Data will take care of all the integrations, parsing (even AI-based parsing), and automation set up before you can say abbra-ca-dabbra.

Process Inbound Communication

Parse and handle inbound emails magically. For example, point Magic Data to your internal wikis and email inbox. Set up automations to auto reply to connect people to the right person for the right topics.

AI Use Cases

AI can help your organization solve a variety of data challenges efficiently and effectively.

Data Integration

Simplify and accelerate the integration of diverse data sources:

•

Schema Mapping and Alignment: Automatically align and map schemas from different data sources, facilitating smooth data integration (e.g., merging data from different ERPs).

•

Intelligent Data Transformation: Use AI to automatically generate transformation scripts that clean and prepare data for downstream applications (e.g., normalizing data for analytics).

•

Cross-Domain Data Fusion: Enable the seamless integration of data from different domains (e.g., sales, marketing, finance) to create a unified view of the business.

Data Governance

Ensure compliance and data quality with intelligent monitoring and enforcement:

•

Data Privacy Compliance: Automatically detect and anonymize sensitive data (e.g., PII, financial information) to comply with GDPR, CCPA, and other regulations.

•

Policy Enforcement: Leverage AI to continuously monitor and enforce data governance policies across all data assets (e.g., access controls, usage policies).

•

Data Quality Monitoring: Implement AI-driven tools to continuously assess and improve data quality by identifying anomalies, gaps, or inconsistencies in real-time.

Data Quality Enhancement

Improve the accuracy and consistency of data across the organization:

•

Data Validation and Correction: Automatically identify and correct errors in large datasets.

•

Data Enrichment: Fill in missing data points using predictive modeling.

•

Duplicate Detection: Identify and merge duplicate records in CRM systems or customer databases to maintain data integrity.

Let's talk about what Magic Data can do for you.

Get in touch

BI Pipelines Made Easy

Get your data ready for Power BI, Mode, Tableau, and more! Tell Magic Data where to grab your internal data, how you want it transformed, and where you want it delivered. Watch your data pipeline unfold in realtime.

Monitoring and Alerts

Ask Magic Data to monitor any data source to receive alerts whenever you want. Magic Data will take care of all the integrations, parsing (even AI-based parsing), and automation set up before you can say abbra-ca-dabbra.

Process Inbound Communication

Parse and handle inbound emails magically. For example, point Magic Data to your internal wikis and email inbox. Set up automations to auto reply to connect people to the right person for the right topics.

Reasoning so complex, it feels like magic.

Magic Data is capable of complex reasoning, planning and executing tasks that involve thousands of decisions while correcting its own mistakes and learning along the way. Our AI actively collaborates with users, offering real-time progress updates and access to the code it writes, accepting feedback and edits to the code.

Reasoning so complex, it feels like magic.

Magic Data is capable of complex reasoning, planning and executing tasks that involve thousands of decisions while correcting its own mistakes and learning along the way. Our AI actively collaborates with users, offering real-time progress updates and access to the code it writes, accepting feedback and edits to the code.

Reasoning so complex, it feels like magic.

Magic Data is capable of complex reasoning, planning and executing tasks that involve thousands of decisions while correcting its own mistakes and learning along the way. Our AI actively collaborates with users, offering real-time progress updates and access to the code it writes, accepting feedback and edits to the code.

A Complete Toolset

With our comprehensive toolset, Magic Data works seamlessly alongside your team while handing over the reigns whenever your team wants them.

Deep Interactions

As it unfolds, you'll see a beautiful visualization of your data pipeline. Interactions on every part of the pipeline allow you to see what's going on under the hood.

Work with Magic Data

Magic Data provides a fully integrated IDE, allowing your developers to work alongside Magic Data. They can explore the files Magic Data writes, and edit the code as needed.

Autonomous Data Exploration

Magic Data connects to your data on its own, writing and rewriting its own code. It then explores your data schema, providing deep and valuable insights that would leave David Blaine impressed.

Let us show you around.

See a demo

Integrate with Your Existing Tools

Magic Data connects directly to any data source you throw at it using any authentication scheme you want.
This is an entirely new way of dealing with integrations.

AI Use Cases

AI can help your organization solve a variety of data challenges efficiently and effectively.

Data Integration

Simplify and accelerate the integration of diverse data sources:

•

Schema Mapping and Alignment: Automatically align and map schemas from different data sources, facilitating smooth data integration (e.g., merging data from different ERPs).

•

Intelligent Data Transformation: Use AI to automatically generate transformation scripts that clean and prepare data for downstream applications (e.g., normalizing data for analytics).

•

Cross-Domain Data Fusion: Enable the seamless integration of data from different domains (e.g., sales, marketing, finance) to create a unified view of the business.

Data Governance

Ensure compliance and data quality with intelligent monitoring and enforcement:

•

Data Privacy Compliance: Automatically detect and anonymize sensitive data (e.g., PII, financial information) to comply with regulations.

•

Policy Enforcement: Continuously monitor and enforce data governance policies across resources (e.g., access controls, usage policies).

•

Data Quality Monitoring: Implement a pipeline to continuously assess and improve data quality by identifying anomalies, gaps, or inconsistencies.

Data Enablement

Process and transform data to meet niche business needs:

•

File Formats: Transform data into niche file formats in your industry (e.g., BAI, ISO, and others)

•

Routing: Use AI inside your pipelines themselves to do intelligent routing of your business processes, even if the interface for this is your email inbox.

•

Duplicate Detection: Identify and merge duplicate records in CRM systems or customer databases to maintain data integrity.

Join the waitlist to get early access.

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