NVIDIA Inception Program Member | Enterprise Private AI Infrastructure

THE KRAFTORS INNOVATION LAB

Future
Sandboxes.

Experience the future before it scales. Run dynamic simulation models inside our interactive proof-of-concept developers' sandbox.

De-risking Corporate Innovation
2-4 Week PrototypesDocker Packaged ModelsISO 27001 CertifiedPrivate VPC Isolated
In-Lab Testing

Agentic AI / Experimental

Swarm Orchestration Debugger

Visualizing real-time decision paths of multi-agent neural swarms.

Inference TerminalvLLM Node: Live
Terminal idle. Click "Run Simulation Inference" to initialize weights...
View Lab Notes
Prototype v2.0

AR / VR / Experimental

Spatial Retail Physics

Simulating hyper-realistic fabric and light physics in AR environments.

Inference TerminalvLLM Node: Live
Terminal idle. Click "Run Simulation Inference" to initialize weights...
View Lab Notes
Neural Training

Doc Intelligence / Experimental

Context-Aware Doc Reasoner

Extracting intent from handwritten 19th-century legal manuscripts.

Inference TerminalvLLM Node: Live
Terminal idle. Click "Run Simulation Inference" to initialize weights...
View Lab Notes
Phase 1 Complete

Computer Vision / Experimental

Zero-Latency Edge Vision

Real-time object tracking on low-power IoT edge devices.

Inference TerminalvLLM Node: Live
Terminal idle. Click "Run Simulation Inference" to initialize weights...
View Lab Notes

De-risk early. Scale fast.

Traditional R&D departments consume months on paperwork. We deliver functional models in weeks.

Traditional R&D Flow
  • Multi-month planning and procurement cycles.
  • Slide deck mockups with zero functional backend code.
  • Lock-in vendor agreements before model validations.
Kraftors Lab Flow
  • Working prototypes ready inside 2 to 4 weeks.
  • Real API backends and edge model compilations.
  • Zero outbound data transfer docker test suites.
2-4 Wks
Delivery Speed

Functional models deployed for internal validation.

100%
Sovereignty

Test suites isolated inside local Docker containers.

under 5ms
Edge Speed

Low-power inference verified on local line models.

zero
Upfront Lock-in

De-risk software choices before full budget commits.

For the CFO

Capital Allocation

Saves hundreds of thousands by validating model capabilities before large scale production deployments.

For the CTO

Pipeline & Latency

Docker packages allow immediate testing inside current CI/CD runs and local server nodes.

For the CISO

Security & Compliance

ISO 27001 standard practices ensure student or patient data never egresses from raw test feeds.

Frequently Asked Questions

How long does it take to deploy a custom PoC?

Our typical design cycle for a working, high-fidelity prototype or PoC is 2 to 4 weeks, with clear pathways to scale.

Can we test PoCs inside our own isolated server networks?

Yes. We package and ship PoC model weights as secure Docker images, allowing you to run them inside private, air-gapped VPCs.