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At Seanergy.ai, we transform your data backbone into a robust, scalable, and intelligent ecosystem. Our Foundational Data Management solutions ensure your data is unified, accurate, and AI-ready to deliver real-time, actionable insights. 

Our Solutions

Data Platform Modernization

Transform legacy data systems into cloud-native, scalable platforms to power analytics and decision-making.

  • Seamless migration with minimal business disruption.
  • Tailored architecture redesign for performance optimization.

Data Lake Implementation

Consolidate structured and unstructured data for analytics and AI-readiness.

  • Real-time ingestion pipelines for streaming data.
  • AI-ready lakes tailored for predictive insights.

Metadata Management

Organize and govern your data with intelligent metadata cataloging.

  • AI-driven tagging, indexing, and lineage tracking.
  • Compliance monitoring to align with GDPR and HIPAA.

Cloud Data Warehousing

Centralize data storage on platforms like AWS Redshift, Azure Synapse, and Google BigQuery.

  • Automate ETL/ELT pipelines for optimized data processing.
  • Cost-efficient, high-performance cloud warehouses.

Master Data Management (MDM)

Ensure data consistency, accuracy, and governance with automated validation and deduplication frameworks.

  • Real-time golden record creation.
  • AI-driven data quality checks and governance.

Value Proposition 

Seamless Modernization


Transition without disrupting operations.

Scalable Platforms


Architectures that grow with business demands.

AI-Ready Data


Foundation built for advanced analytics.

Cost Efficiency


Reduce maintenance and operational costs.

Case Studies

Accelerating Retail Insights with Cloud Data Modernization

Challenge

Legacy data systems were fragmented, slowing reporting and increasing operational costs, while the absence of a centralized platform made it difficult for regional teams to access timely insights.

Solution

Migrated data to a centralized Azure cloud platform, integrating automated ETL pipelines to streamline data ingestion, improve accessibility, and enhance decision-making.

Outcome

70% Faster Speed to Insights

70%

40% Cost Savings

40%

100% Unified Data Access

100%
Case Studies

Enhancing Healthcare Analytics with an AI-Ready Data Lake

Challenge

Siloed, unstructured healthcare data led to delays in patient insights and treatment planning, while compliance tracking was inefficient due to fragmented data governance.

Solution

Implemented an AI-ready data lake with real-time ingestion pipelines, consolidating structured and unstructured data, while deploying HIPAA-compliant governance frameworks for enhanced security and regulatory adherence.

Outcome

50% Improvement in Patient Data Retrieval

50%

60% Reduction in Compliance Risks

60%

45% Faster AI-Powered Diagnostics

45%
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