Complete Data Stack for Modern Businesses

Enterprise data operations without enterprise complexity. Extract, integrate, prepare, analyze. One platform. Conversational execution.

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One Platform. Complete Data Lifecycle.

Data operations typically span multiple tools for extraction, integration, preparation, and visualization. Astera consolidates these workflows into a single platform where conversational interfaces and agentic workflows execute technical operations.

Built for Production Data Work

Describe what you need in natural language, and the platform generates the technical operations. This eliminates formula memorization and reduces learning curves while shifting technical complexity to the system.
Business users can access enterprise capabilities without requiring SQL, scripting, or technical expertise.
Examples include "Extract invoice data from PDFs and load to Salesforce," "Join customer data from three databases on email address," and "Build a pipeline that migrates 500 tables to Snowflake using the same transformation logic."
The system interprets intent, determines execution paths, handles implementation, and displays results in real-time.

Measurable Impact Across Data Operations

Reduction in Manual ETL Work

Significant reduction in manual ETL effort, enabling teams to focus on higher-value data initiatives.

Faster Pipeline Development

Accelerated pipeline development through model-driven automation and streamlined workflows.

Built-in Transformations

Extensive library of built-in transformations supporting complex enterprise data operations.

Four Products. One Integrated Platform.

Centerprise

Conversational pipeline generation that builds complete data pipelines in minutes using natural language descriptions. Describe requirements in plain English, and Centerprise generates pipelines, models, and mappings automatically without requiring scripting or manual configuration.
Model-driven automation that uses data models as the control layer to auto-generate hundreds of pipelines at once for migration, consolidation, warehousing, and synchronization. Define schema structure once, and the platform produces consistent logic across all data objects automatically.
No-code design with 200+ built-in transformations and 100+ native connectors that let you build, transform, and orchestrate data flows visually with drag-and-drop or through conversational commands, making the platform accessible to both technical and business users.
Deterministic, production-ready execution where conversational interfaces accelerate design-time decisions while what runs in production remains fully predictable, auditable, and stable with no black-box inference at runtime.

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ReportMiner

Works with unstructured data in all formats and layouts, extracting data from PDFs, Excel files, Word documents, scanned images, and EDI files using templates that adapt to document structure and are reusable across files with the same layout.
Builds accurate reusable templates in seconds by letting you define the fields needed while ReportMiner generates an extraction template in 5 seconds, automating at scale a process that took 10 minutes per document.
Full support for scanned and hierarchical documents where OCR accurately converts scanned files into machine-readable text while hierarchical extraction preserves parent-child data structures from complex reports and nested documents.
Customizable rule-based validation steps with built-in data quality checks that catch errors before data reaches downstream systems, running validation against user-defined rules as part of the extraction pipeline rather than as a separate task.

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Astera Dataprep

Natural language data prep and analytics that lets you describe requirements in plain English while Dataprep executes technical operations automatically without requiring formulas, SQL, or code.
Complete workflow in a single platform that takes you from raw data to dashboard without switching tools or exporting between systems, with preparation, transformation, analysis, and visualization happening in one interface.
Automated profiling and quality checks that instantly detect duplicates, nulls, formatting issues, and anomalies across millions of rows, running automatically when data loads to surface quality issues before they propagate.
Reusable recipes with scheduling that let you save workflows as recipes, automate recurring jobs on schedules or event triggers, and maintain consistent processes across datasets without rebuilding logic manually.

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EDIConnect

No-code EDI transaction building and parsing that maps EDI messages to backend systems using drag-and-drop interface with support for ANSI X12, EDIFACT, and HL7 standards, with built-in validation rules that test and preview data at any stage.
Automated partner communication and profile management that handles business partner profiles with encryption, compression, and digital signatures while automating file transfers via AS2, FTP, SFTP, and APIs with real-time monitoring and alerts.
End-to-end workflow automation with deterministic execution that schedules EDI jobs, triggers email notifications, and processes acknowledgments automatically while eliminating manual intervention and maintaining full auditability and compliance tracking.
Seamless integration with enterprise data infrastructure that connects EDI workflows to databases, data warehouses, and business applications while transforming EDI data through 200+ built-in functions and maintaining data consistency across trading partners.

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