01
Private by design
Keep selected data, prompts and workloads within infrastructure you control.
Run open-source AI on infrastructure you control. Intel provides the technology foundation; GOMYCODE designs, deploys and supports the solution with your teams.
Deployment stack
Your teams
Employees, experts, operators
Secure access
Browser-based on your network
Local AI node
Intel hardware + OpenVINO
Your knowledge
Approved data and open models
01
Keep selected data, prompts and workloads within infrastructure you control.
02
Reduce dependence on recurring per-token fees for suitable workloads.
03
From use-case discovery and deployment to training, support and scale.
01 / What you can deploy
The first deployment should prove a useful business case—not try to solve every AI need at once.
Enterprise knowledge
Let teams search, question and use approved company documents without sending the source material to a commercial LLM provider.
Engineering productivity
Support code explanation, generation, review and testing with an open coding model deployed on infrastructure you control.
Workforce enablement
Create a role-specific assistant grounded in approved training, procedures and business content, accessible from a browser.
Technology foundation
Intel® Distribution of
Write once. Deploy across Intel.
OpenVINO is Intel's open-source toolkit for optimizing and running AI inference. It supports workflows including computer vision, large language models and generative AI across supported Intel hardware and deployment environments.
Improve latency, throughput and hardware utilization for the validated workload.
Run selected models on premises or on device, inside the environment you manage.
Validate the right configuration for model, memory and simultaneous-user needs.
Accelerate development with open samples, notebooks and adaptable code.
02 / Delivery pathway
01
Prioritize the workflow, users, content, risks and business outcome.
02
Select the open model and size a supported Intel configuration with OpenVINO.
03
Deploy with a controlled user group and measure quality, adoption, reliability and cost.
04
Train operators, document the configuration and prepare the rollout playbook.
Intel contribution
GOMYCODE contribution
03 / Capability building
Every pilot includes practical enablement for the people who will use, administer and support the local AI service.
Local, cloud or hybrid: choose the right route for each workload.
Deploy and optimize an open model on supported Intel hardware.
Ground a private assistant in approved enterprise content.
Measure quality, latency, capacity, reliability and operating cost.
Start with a focused assessment
Bring one workflow, one user group and one business outcome. We'll help you assess the use case, content, infrastructure and pilot path.
Book a discovery session