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05 / R&D / ExperimentationDesktop application
SKS LAB logoInstaller available

AI development, R&D, developers, innovation, selected testers

SKSLAB

Research and development environment to test new AI models, tools, and technologies, and to build prototypes for future deployment.

Inside the application

See SKS LAB at work.

Real interfaces, with sample work open. Select a screen to take a closer look.

Research in context

Research in context. SKS LAB chat with the SKS Worldwide site open in Frame.

SKS LAB chat with the SKS Worldwide site open in Frame.

Research in context

SKS LAB chat with the SKS Worldwide site open in Frame.

01 / OverviewWhy it exists

Vision

The reusable technology base and research lab for the ecosystem: build once in SKS TECH, then reuse it in every product while the AI Lab keeps exploring what comes next.

The problem it solves

Six products built independently would duplicate effort and drift apart. A shared framework and a place to prototype new AI keeps them consistent and fast to build.

How it works in practice

Project E is two things in one folder: the SKS TECH foundation that every later product reuses, and the AI Lab where new models and tools are tried before they become product features. Month 1 builds the framework; month 8 onwards keeps expanding it.

What it ships

  • Reusable SKS TECH framework and plugin contracts
  • Shared UI, services and agent runtime
  • Local desk for prototypes and model tests
  • A path from experiment to a named product
02 / Capabilities4 core areas

01

Shared framework

Reusable components, services, plugins and conventions.

02

Agent runtime

A common way to build and run AI agents.

03

Local desk

A local environment to test models, tools and prototypes.

04

Experimentation

Try new models and techniques before they reach products.

Built with

  • SKS TECH repository
  • Local dev desk (Vite)
  • Plugin contracts
  • Prototyping tools
03 / Users5 groups
AAI Development Team
RR&D Team
DDevelopers
IInnovation Team
SSelected Users (testing)

Primary audience AI development, R&D, developers, innovation, selected testers.

04 / Outcomes & risksWhat good looks like

The goal

Target outcomes

  1. 01

    Faster delivery of every later product

  2. 02

    A steady flow of tested AI capabilities into the ecosystem

The safeguards

Risks & mitigation

  • Framework becoming too rigid

    Keep contracts small and review them with each product.

  • Research without a path to product

    Tie experiments to a named product need.

05 / DownloadProject E

Your project, ready to install

Download SKS LABBeta

Research and development environment to test new AI models, tools, and technologies, and to build prototypes for future deployment.

Platform01

macOS

Disk image · Universal

Apple Silicon and Intel Macs

Checking download…

Open the DMG and drag the app into Applications.

One app for both Mac architectures. This release is not notarized; trusted automatic installation requires Apple signing.

Platform02

Windows

Installer · 64-bit

Windows 10 and 11 PCs

Checking download…

Run Setup.exe and follow the installer.

Core runtimes included. This release is unsigned; Windows Smart App Control may block installation.

Platform03

Linux

AppImage · 64-bit

Modern x86-64 Linux desktops

Checking download…

Allow the AppImage to run as a program, then open it.

One package across supported distributions. Some systems require FUSE 2 support. ARM Linux is not included.

The desktop runtime and native local agent are included. Check your version in Settings → Infor. An internet connection is needed for online AI services and updates. Optional local models download when enabled.

Return to the ecosystem or open the SDLC.