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MODERNIZATION

FROM SPRAWL
TO GOVERNED
DATA PRODUCTS

Stop migrating your legacy clutter. Our proprietary SLMs automatically rationalize your data estate, removing what isn't needed and refactoring the essentials into governed, reusable, and AI-ready assets.

DOWNLOAD GUIDE

Built for Clarity

Our proprietary SLMs move every layer of your estate automatically, from initial scan to final cutover.

Map

Every table, job, and pipeline mapped against real runtime usage and lineage to eliminate undocumented logic and systemic blind spots.

Data Product Definition

Analyze usage and lineage logs automatically with large language models to construct custom, AI-enabled data product definitions tailored to your specific business outcomes.

Build

Automatically generate, synthetically test, and validate clean code for your defined data products. Includes human-in-the-loop review before pushing directly to your CI/CD pipelines.

ANY LEGACY ESTATE

Every Source. One Engine.

We assess and modernize across the full spectrum of legacy platforms.

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Modernization page Diagram Mobile and Desktop

The Foundation

Next Pathway utilizes proprietary Small Language Models (SLMs) to scan your architecture and define data products. These purpose-built engines handle precise code generation and automated technical testing across your entire data estate. 

Modernization in Motion

Our proprietary SLMs continuously map usage and lineage to isolate your highest-value workloads, refactoring them into certified, reusable data products: Customer 360, Risk & Compliance, and Operations.

OUTPUT TYPES

Sample Certified Data Products

Customer 360

Consolidates tables, views, feeds, and schemas scattered across CRM, billing, and support into one governed view.

Risk & Compliance

Reconstructs ETL jobs, scripts, and stored procedures into auditable, lineage-tracked reporting.

Operations

Streamlines fragmented reports, marts, and batch jobs into one operational source of truth.

PLATFORM COVERAGE

How We Modernize Any Legacy System

Legacy platforms are comprised of six deeply coupled infrastructure layers. We isolate and deconstruct each layer to engineer a native, optimized deployment on your target platform.

Data Access

Ingest raw feeds, schemas, and schedules into native streaming data pipelines.

Language & Transformation

Translate complex legacy logic and SQL dynamically into modern, optimized formats.

Analytics & Models

Replatform custom analytical models and scorecards into collaborative feature stores and modern MLOps registries.

Reporting & Visualization

Transition legacy static reporting layers into dynamic, live data visualization workspaces.

Scheduling & Orchestration

Rebuild convoluted job dependencies into managed, cloud-native automated workflow orchestrators.

Security & Governance

Map database role permissions and access control rules into uniform, unified data security layers.

Our proprietary SLMs handle it all, from routine patterns to the hardest, most ambiguous legacy logic, turning every layer into an AI-ready foundation.

1 Billion+
 Lines of legacy workload assessed, modernized & tested 
160+
 Enterprise modernizations delivered 
80%
 Faster than manual/semi-automated approaches 

Choose Your Path

Lift the entire estate to a modern cloud platform, with 1:1 parity proven before cutover.

Migration

Lift the entire estate to a modern cloud platform, with 1:1 parity proven before cutover. 
Explore Migration
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Modernization

Refactor what earns its place into governed, certified data products — built for AI.

Explore Modernization

Productionize AI. Sooner.

From Legacy Complexity to AI Readiness.

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