transform x

Modernize Your Data Platform Up to 8X Faster.

NucleusTeq re-engineers legacy pipelines and warehouses into governed, AI ready cloud platforms, without the multi year timeline or the migration risk.

Delivering measurable results for Fortune 1000 data teams across banking, retail, and insurance.

Delivering measurable results for Fortune 1000 data teams across banking, retail, and insurance.

AUTOMATED CONVERSIONLEGACY → MODERN
InformaticaCloud-native ETL
SSIS / SQL procsSpark (Glue / EMR)
Oracle PL/SQLSpark
Teradata / NetezzaRedshift · Snowflake
Hadoop / HDFSLakehouse · Iceberg
SSRS / MicroStrategyModern BI
100% accurate code conversion · reconciled at every stage

Up to 8X

Faster migration through automation

40–70%

Lower modernization cost

100%

Migration success, zero data loss

0

Defects at cutover, across engagements

The Cost of Standing Still

Every Quarter on Legacy Infrastructure Is a Quarter Competitors Aren't Waiting For.

Budget Sink

Maintenance eats the roadmap

Aging ETL, on prem warehouses, and manual pipelines consume budget just to stay running, leaving nothing to invest forward.

Budget Sink

Maintenance eats the roadmap

Aging ETL, on prem warehouses, and manual pipelines consume budget just to stay running, leaving nothing to invest forward.

Fragmented Toolchain

Every incident is a fire drill

Point to point integrations and disconnected orchestration tools force teams to context switch across logs just to debug one failure.

Fragmented Toolchain

Every incident is a fire drill

Point to point integrations and disconnected orchestration tools force teams to context switch across logs just to debug one failure.

Governance Gaps

Audits become a scramble

Without a unified catalog and lineage, data ownership is invisible, and every compliance review starts from zero.

Governance Gaps

Audits become a scramble

Without a unified catalog and lineage, data ownership is invisible, and every compliance review starts from zero.

No AI Path

The models stay out of reach

Siloed data and undocumented dependencies mean the business cannot get the AI and analytics use cases it is asking for.

No AI Path

The models stay out of reach

Siloed data and undocumented dependencies mean the business cannot get the AI and analytics use cases it is asking for.

What TransformX covers

Five disciplines. One modernization offering.

Five disciplines. One modernization offering.


Legacy estates rarely fail in one place. TransformX modernizes the full surface — infrastructure, platform, analytics, applications, and AI — as a single governed program, not five disconnected projects.

Legacy estates rarely fail in one place. TransformX modernizes the full surface — infrastructure, platform, analytics, applications, and AI — as a single governed program, not five disconnected projects.

Cloud Migration

Migrate to modern cloud platforms with speed and confidence

Cloud Migration

Migrate to modern cloud platforms with speed and confidence

Cloud Migration

Migrate to modern cloud platforms with speed and confidence

Data Platform Modernization

Modernize platforms for scalability, performance, and agility.

Data Platform Modernization

Modernize platforms for scalability, performance, and agility.

Data Platform Modernization

Modernize platforms for scalability, performance, and agility.

Analytics Modernization

Transform legacy analytics into agile and intelligent solutions.

Analytics Modernization

Transform legacy analytics into agile and intelligent solutions.

Analytics Modernization

Transform legacy analytics into agile and intelligent solutions.

Application Modernization

Modernize applications to accelerate innovation and value.

Application Modernization

Modernize applications to accelerate innovation and value.

Application Modernization

Modernize applications to accelerate innovation and value.

AI & ML Enablement

Operationalize AI/ML to drive impact and business outcomes.

AI & ML Enablement

Operationalize AI/ML to drive impact and business outcomes.

AI & ML Enablement

Operationalize AI/ML to drive impact and business outcomes.

Engineering depth

We speak your stack.

We speak your stack.

From legacy on-prem systems to modern lakehouse platforms, our engineers work across the full modernization surface — not just the parts that demo well.

From legacy on-prem systems to modern lakehouse platforms, our engineers work across the full modernization surface — not just the parts that demo well.

Cloud platforms

AWS

Azure

Google Cloud

Oracle

Salesforce

Data & lakehouse

Databricks

Snowflake

Redshift

Iceberg

Teradata

Netezza

Migration & ETL

Informatica

Talend

dbt

Apache NiFi

Matillion

SSIS

Orchestration & governance

Airflow

Tidal

Kubernetes

Great Expectations

Alation

Proof in the Numbers

What Our Engineering Arc Actually Delivers.

70M+

records unified in a single migration

82+

source systems unified per engagement

20TB+

historical data migrated with zero loss

Figures drawn from recent NucleusTeq data modernization engagements across retail, banking, and financial services. Client identities withheld under NDA.

Proof in Practice

Real Engineering Arcs, Anonymized for Confidentiality.

Retail, Fast Casual and Consumer

Three disconnected platforms, one governed lakehouse

A national retail enterprise ran orchestration, integration, and warehousing on three disconnected tools with no shared governance layer. NucleusTeq unified everything onto a single Databricks Lakehouse across a multi year, multi cloud journey.

70M+ records unifiedacross 82+

source systems, zero defects at cutover

Banking and Financial Services

Legacy SSIS estate, replaced with a governed platform

A leading financial institution had outgrown a 55+ pipeline, on premise SSIS and SQL Server environment with no path to the cloud or to AI. NucleusTeq modernized the full estate onto a governed Snowflake platform.

3 weeks to 3 hours

report delivery time, plus a 70% drop in ad hoc IT tickets

Insurance

Cheaper compute, without rebuilding from scratch

A leading insurance provider was running transformation logic on an aging warehouse setup that had become too costly to scale. NucleusTeq replatformed the transformation layer onto dbt and an AWS lakehouse architecture.

Lower compute spend

with a simplified, maintainable transformation layer

How We Work

A Proven Path From Legacy to Live.

01

Assess

Cloud readiness assessment and ROI modeling against your current stack.

01

Design

Target state architecture, tool selection, and a phased migration roadmap.

01

Migrate

Domain by domain migration with accelerator tooling and parallel run cutover.

01

Validate

Record level reconciliation and automated data quality checks at every stage.

01

Scale

Governance, cost optimization, and an AI ready foundation for what's next.

Your Data Platform Doesn't Need Another Year of Patchwork.

Talk to our engineers about what an 8X faster modernization path looks like for your stack, or start with your free modernization score.