Migrate smarter with Agentic AI
Migrate smarter with Agentic AI
Seamless, secure, and scalable data migrations, powered by an intelligent workbench
Why large-scale migrations often stall
Even the best-planned migrations hit roadblocks. Scale, complexity, and too many unknowns slow everything down.
1
High script and data volume
Massive codebases and datasets make migrations resource-intensive and time-consuming.
1
High script and data volume
Massive codebases and datasets make migrations resource-intensive and time-consuming.
1
High script and data volume
Massive codebases and datasets make migrations resource-intensive and time-consuming.
2
Complex, monolithic ETLs
Tightly coupled workflows increase migration risk and complexity.
2
Complex, monolithic ETLs
Tightly coupled workflows increase migration risk and complexity.
2
Complex, monolithic ETLs
Tightly coupled workflows increase migration risk and complexity.
3
Diverse object types
Multiple tools and object types require specialized handling.
3
Diverse object types
Multiple tools and object types require specialized handling.
3
Diverse object types
Multiple tools and object types require specialized handling.
4
Limited documentation
Critical knowledge gaps exist due to outdated or missing system documentation.
4
Limited documentation
Critical knowledge gaps exist due to outdated or missing system documentation.
4
Limited documentation
Critical knowledge gaps exist due to outdated or missing system documentation.
5
Loss of institutional knowledge
Original developers are no longer available, leaving teams without key insights.
5
Loss of institutional knowledge
Original developers are no longer available, leaving teams without key insights.
5
Loss of institutional knowledge
Original developers are no longer available, leaving teams without key insights.
6
Performance sensitivity
Legacy pipelines are highly optimized; performance must be preserved or improved post-migration.
6
Performance sensitivity
Legacy pipelines are highly optimized; performance must be preserved or improved post-migration.
6
Performance sensitivity
Legacy pipelines are highly optimized; performance must be preserved or improved post-migration.
7
Deep consumption dependencies
Layered downstream systems (e.g., multi-level SAS datasets) add significant coordination overhead.
7
Deep consumption dependencies
Layered downstream systems (e.g., multi-level SAS datasets) add significant coordination overhead.
7
Deep consumption dependencies
Layered downstream systems (e.g., multi-level SAS datasets) add significant coordination overhead.
8
Hidden object relationships
Undocumented dependencies between components can lead to migration failures.
8
Hidden object relationships
Undocumented dependencies between components can lead to migration failures.
8
Hidden object relationships
Undocumented dependencies between components can lead to migration failures.
9
Multi-step migration process
Success depends on seamless coordination across every migration phase.
9
Multi-step migration process
Success depends on seamless coordination across every migration phase.
9
Multi-step migration process
Success depends on seamless coordination across every migration phase.
10
Challenging wave planning
Dependency-aware sequencing is critical to avoid breakage and rework.
10
Challenging wave planning
Dependency-aware sequencing is critical to avoid breakage and rework.
10
Challenging wave planning
Dependency-aware sequencing is critical to avoid breakage and rework.
11
Rigorous assurance needs
Validating outcomes requires a structured, repeatable data assurance framework.
11
Rigorous assurance needs
Validating outcomes requires a structured, repeatable data assurance framework.
11
Rigorous assurance needs
Validating outcomes requires a structured, repeatable data assurance framework.
Transform your data migration for speed, scale, and success
Automate every step, from legacy systems to cloud-native platforms, for faster, error-free migrations.
Cogentiq Migration workbench feature and principles
An agentic AI accelerator for your workload migration and rationalization programs
1
Multiple migration patterns (Teradata to BigQuery, SAS to PySpark/Python and SQL Dialects)
1
Multiple migration patterns (Teradata to BigQuery, SAS to PySpark/Python and SQL Dialects)
1
Multiple migration patterns (Teradata to BigQuery, SAS to PySpark/Python and SQL Dialects)
2
Accelerates migration and rationalization programs significantly
2
Accelerates migration and rationalization programs significantly
2
Accelerates migration and rationalization programs significantly
3
Dependency graph and side-by-side visual comparison
3
Dependency graph and side-by-side visual comparison
3
Dependency graph and side-by-side visual comparison
4
Migration reports and similarity comparison reports
4
Migration reports and similarity comparison reports
4
Migration reports and similarity comparison reports
5
Conversion statistics for validation and comparison
5
Conversion statistics for validation and comparison
5
Conversion statistics for validation and comparison
6
Explainability and documentation
6
Explainability and documentation
6
Explainability and documentation
7
GUI and CLI based interface
7
GUI and CLI based interface
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GUI and CLI based interface
8
Test script generation
8
Test script generation
8
Test script generation
Cogentiq Migration lifecycle
Thought leadership
Our experts
Shashidhar Ramakrishnaiah
Chief Technology Officer - Cloud & Data Tech
Shashidhar Ramakrishnaiah
Chief Technology Officer - Cloud & Data Tech
Shashidhar Ramakrishnaiah
Chief Technology Officer - Cloud & Data Tech
Deepak Sharma
Principal Architect - Cloud & Data Tech
Deepak Sharma
Principal Architect - Cloud & Data Tech
Deepak Sharma
Advisor - Cloud & Data Tech
Deepak Sharma
Advisor - Cloud & Data Tech
Debasis Panda
Principal Architect - Cloud & Data Tech
Debasis Panda
Principal Architect - Cloud & Data Tech
Debasis Panda
Principal Architect - Cloud & Data Tech
Experience seamless, secure migration with Agentic AI
Experience seamless, secure migration with Agentic AI
Recognition and achievements
Select Fractal accolades
Named leader
Customer analytics service provider Q2 2025
Representative vendor
Customer analytics service provider Q1 2021
Great Place to Work
8th year running. Certifications received for India, USA, Canada, Australia, and the UK.
Recognition and achievements
Select Fractal accolades
Named leader
Customer analytics service provider Q2 2025
Representative vendor
Customer analytics service provider Q1 2021
Great Place to Work
8th year running. Certifications received for India, USA, Canada, Australia, and the UK.
Recognition and achievements
Select Fractal accolades
Named leader
Customer analytics service provider Q2 2025
Representative vendor
Customer analytics service provider Q1 2021
Great Place to Work
8th year running. Certifications received for India, USA, Canada, Australia, and the UK.
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