What does ScaledNative cover now?

ScaledNative now operates across three pillars: Modernization, Collaboration, and Services. DataCat sits under Modernization, Collaboration covers agent-team orchestration, and Services covers the embedded practitioner, certification, and operating-model layer that helps enterprises ship.

DataCat is ScaledNative's flagship modernization product. It is built for enterprise teams moving DB2 estates to PostgreSQL with AI-guided transformation, governed review, customer-environment deployment, and audit-ready outputs.

What does Collaboration cover?

Collaboration covers the coordination systems mixed human-and-agent delivery teams need once work is happening across lanes, handoffs, branches, QA, and release readiness. On ScaledNative, that pillar is presented as a capability category rather than a public product pitch.

What still sits inside Services?

Services remains the delivery and enablement layer: embedded modernization residencies, practitioner-led certification, and operating-model design around the NATIVE framework. We still build with clients; the product portfolio now sits beside that work instead of hiding behind it.

What is the NATIVE framework?

NATIVE stands for Navigate, Architect, Transform, Integrate, Validate, and Evolve. It is the operating model ScaledNative uses to connect strategy, architecture, execution, governance, and continuous improvement across products and services.

How do the products connect to services?

The products and services are deliberately additive. DataCat provides software where the modernization workflow should scale, Collaboration covers the coordination layer around mixed teams, and Services provides the practitioner, certification, and delivery layer when the work still needs senior humans in the room. When a program also needs broader enterprise AI engineering and modernization delivery around that portfolio, the implementation lane can pair with LockedIn Labs.

Modernization. Collaboration. Services.

We don't just train.
We modernize and deliver with you.

ScaledNative is the umbrella brand for AI-native modernization, agent-team collaboration, and embedded delivery services. Explore the portfolio and the service layer that turns strategy into shipped systems.

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Portfolio

One umbrella brand. Three serious pillars.

ScaledNative now houses the software and service layers enterprises need to modernize legacy estates, coordinate mixed human-plus-agent delivery, and move from strategy to shipped systems without changing brands every time the problem changes.

Modernization brand

DataCat

AI Data Catalyst modernization surface

Modernization

Migration platforms and governed delivery for mainframe-adjacent estates moving into AI-native execution.

DataCat, also presented on its dedicated product surface as AI Data Catalyst, leads the category with a DB2-to-PostgreSQL migration platform covering schema conversion, stored procedure translation, copybook-aware assessment, and governed validation inside the customer environment.

Schema, procedure, and copybook-aware migration scope
Runs inside the customer environment
Governed validation and cutover evidence

Explore modernization Flagship product: DataCat

Collaboration

Agent Team Orchestration for mixed human and coding-agent delivery teams.

The collaboration pillar covers the coordination layer for lanes, handoffs, branches, reviews, and release work across human teams plus coding, QA, and release agents.

Message-first command center
Human plus agent team orchestration
Branch, handoff, and release visibility

Explore collaboration

Services

Embedded delivery, certification, and operating-model design around the portfolio.

ScaledNative services connect strategy to shipped systems through residencies, methodology design, and enablement led by practitioners who still build.

Embedded delivery residencies
Certification and enablement
Operating-model design around NATIVE

Explore services Signature offer: 90-Day Residency

Philosophy

Organizations don't become AI-native because you trained them. They become AI-native when you redesign the systems they operate in.

Most AI programs fail because they treat transformation as a content-delivery problem. Push courses. Track completions. Buy another tool. The organizations that actually become AI-native don't get there through surface adoption — they get there through systems design.

The gap between AI strategy and scalable execution isn't a skills gap. It's a systems gap — the absence of an operating model that connects products, people, and execution. The NATIVE framework exists to close it.

That is why ScaledNative now spans software and services. We modernize systems, coordinate real mixed-team delivery, and embed senior practitioners when the work still needs judgment in the room. The deliverable is still a shipped system, not a slide deck.

Who Teaches You

Experts training you to become experts. It's the only model that works.

Our practitioners are senior engineers and architects who ship AI-native systems in production. Every instructor holds verifiable engineering credentials — the certificate on the wall means they can still pass the bar they teach to.

They come on-site. They work alongside your teams. They take you from foundations to production capability through direct, expert-to-expert mentorship. Humans who've done it before are the only viable accelerant.

And when your team is ready to move from training to implementation, those same people help you build. Modernize systems. Deploy the architecture. Ship the code. We stay until it's live.

Senior practitioners, not career instructors

Architects and staff engineers with verifiable track records. If they're not still shipping, they're not in the room.

On-site, not online-only

Expert-to-expert mentorship in your environment, with your systems, alongside your teams — not a video library.

Training → implementation → deployment

Same people, end-to-end. The ones who train you are the ones who help you ship. No vendor handoff.

Full-stack AI capability

Strategy, architecture, engineering, deployment. We cover the whole lifecycle because that's what it takes.

Operating Model

The NATIVE Framework

A complete operating model spanning strategy, architecture, and execution — not a training curriculum bolted onto an existing delivery process.

Each phase builds on the last. The framework is designed to be adopted incrementally, through dialogue and implementation, not mandates.

Read the methodology

N

Navigate

Assess capability. Map risk. Establish the cultural foundation for change. Strategic clarity before anything is committed.

A

Architect

Design the AI strategy, data infrastructure, governance model, and implementation roadmap. Connect business goals to technical reality.

T

Transform

Deploy. Upskill. Equip every role — from engineers to executives — with production-grade AI capability through role-based programs.

I

Integrate

Embed AI into daily workflows, decision-making, and systems of record. This is where strategy becomes execution.

V

Validate

Measure outcomes against a defined bar. Verify that adoption is producing real business value — not just activity.

E

Evolve

Continuously improve. Scale what works. Build the internal muscle to keep going after we leave.

Certification

Programs

Five programs — from foundational AI literacy to C-suite strategy to deep technical mastery. Each assessed against a published competency bar and taught by practitioners who ship.

01

AI-Native Foundations

2-day immersive

Practical AI fluency. Workflow redesign. The shared vocabulary every role needs before anything else can scale.

AI Fundamentals · Readiness Assessment · Prompt Engineering · Workflow Redesign

For: All roles — technical and non-technicalOutcome: A common operating language and a 90-day adoption plan

02

AI-Native Change Agent

3-day practitioner program

Governance design. Business-case construction. The Audit-Activate-Optimize-Centralize execution loop.

Strategy · Data Architecture · AAOC Execution · Change Leadership · Portfolio Scaling · Responsible AI

For: Scrum Masters, PMs, TPMs, Business Analysts, Delivery LeadersOutcome: Practitioners who can orchestrate AI transformation across functions

03

AI for Executives

1-day strategic immersive

Competitive landscape. Investment modeling. Governance exposure. Peer learning across a cohort of senior leaders.

Competitive Intelligence · Financial Impact · Governance · Organizational Design

For: CEOs, CFOs, COOs, CTOs, Board MembersOutcome: A defensible AI thesis and an organizational prioritization roadmap

04

Prompt Engineering for Enterprise

2-day technical deep-dive

Prompt architecture. RAG system design. Multi-agent orchestration. Evaluation and safety in production.

Prompt Architecture · Evaluation · RAG · Agents · Security

For: Engineers, Data Scientists, Technical LeadsOutcome: Hands-on mastery of RAG pipelines, agents, and production deployment

05

AI-Native Trainer

3-day specialist certification

Curriculum design and facilitation for AI transformation workshops. Build internal academies that scale without us.

Curriculum Design · Facilitation · Internal Academies

For: L&D Leaders, Senior Coaches, Organizational DevelopmentOutcome: Certified trainers who can independently scale the curriculum

Certify your team

Thesis

AI is evolving faster than organizations can absorb it. The answer isn't more courses — it's better systems.

Every enterprise knows AI matters. The strategy decks are written. The budgets are approved. But most AI initiatives still fail to move past pilot — not because the technology doesn't work, but because the organization lacks the operating model to get from strategy to execution.

Scrum Masters, Project Managers, and engineering leaders aren't being replaced — they're becoming essential bridges between AI capability and business outcome. They enforce data flows, align stakeholders, surface risk, and ask the questions that a model can't.

We exist to build the operating model that connects these roles to AI capability — giving every function the architecture to deliver with intelligence and speed.

Insights

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