Private Copilot
Fast, secure answers from internal documents, procedures, maintenance records and enterprise applications for employees across your company.
We select, source, install and configure current-generation GPU infrastructure for your business. More than servers - a complete foundation for your private AI.
Right-sized to people, models and workloads.
Current-generation options and vendor coordination.
Models, access and data connections configured.
Monitoring, maintenance and capacity planning.
Buying hardware is only the first step. You still need the right AI models, secure access, connections to internal systems and a team that keeps everything running.
Skill Focus builds the environment behind your company's AI - from the server room to the applications your employees actually use.
Understand users, models, agents, data volumes and security needs.
Specify accelerators, memory, storage, networking and expansion capacity.
Deploy local models, inference services, permissions and monitoring.
Connect enterprise data, Factory Copilot and agents; support the environment.
High-performance AI hardware can be difficult to source. Lead times, availability, power requirements and compatible components can change quickly.
Our technical expertise and participation in industry programs, including NVIDIA Inception, help us evaluate available options, engage with the ecosystem and organize procurement more efficiently than starting the process from scratch.
We compare current-generation configurations at the time of purchase, choose components that fit your workloads and build in a clear path for expansion. No outdated inventory pushed just to complete a sale.
Current-generation options, selected at the time of procurement.
Vendor comparisons based on lead time, compatibility and total cost.
One coordinated path from sourcing to installation.
Delivery timing and specific models depend on supplier availability. Program membership does not guarantee priority allocation or access to unavailable products.
There is no universal server for every factory. We design each system around the intelligence your company needs today, with room for what comes next.
Fast, secure answers from internal documents, procedures, maintenance records and enterprise applications for employees across your company.
Multiple agents can analyze production, quality, maintenance and procurement data at the same time, with more demanding reasoning workloads.
Computer vision, simulations and automated workflows introduce new compute, network and reliability requirements as factory systems become more connected.
Tell us how your team will use AI. See an illustrative capacity range, an infrastructure profile and what it could support. The final design is based on performance benchmarks and actual requirements.
From document assistance to advanced multi-agent reasoning.
Private Copilot and industrial AI agents for a connected factory.
An employee Copilot connected to company knowledge, alongside specialized agents for daily operational tasks.
Planning illustration only, not an equipment quote or sizing guarantee. Requirements depend on model architecture, latency targets, concurrency, availability, network and data volumes. Validate using actual workloads before procurement.
We coordinate the technical work needed to make private AI usable, secure and maintainable inside your company.
We review user roles, model capabilities, company data, expected loads and IT policies.
We propose a current-generation configuration and coordinate availability, compatibility and delivery planning.
We configure servers, model inference, storage, networking and access controls within the agreed environment.
We connect the environment to Factory Copilot, AI agents and permitted enterprise information sources.
We review performance, update configurations and plan additional capacity as the business grows.
Your company controls where the models run, how internal data is accessed and which workloads can connect to industrial systems. Private deployment can operate without sending sensitive inference data to external AI APIs.
Security, network isolation, update policies and employee permissions are designed around your existing IT requirements.
AI processing and operational data remain inside the selected environment.
Employees only access the systems and knowledge their company permissions allow.
Integrations are designed with controlled interfaces, audit logs and independent industrial safety functions.
Monitoring, approved updates and capacity management follow your IT policies.
Clear answers before infrastructure procurement begins.
No. We start with the AI workload, number of users and system requirements, then recommend a suitable current-generation configuration.
We compare suitable suppliers and alternatives, coordinate procurement and use our technical ecosystem to help simplify the process. Availability, exact models and delivery dates depend on vendors, so no allocation or deadline is guaranteed.
We prioritize current-generation, actively supported options that fit your performance and budget. The newest GPU is not always the best or most available choice, so we benchmark alternatives rather than selling outdated stock or unnecessary capacity.
Yes. We can review existing hardware and recommend where it can be reused, expanded or replaced based on the planned AI workloads.
Yes, with a properly configured private deployment. Models can run locally, with external API calls and telemetry disabled according to the agreed security design. Supplier access, updates and optional external integrations are controlled separately.
We plan for expansion from the beginning, monitor capacity requirements and help adjust the infrastructure as more employees, agents and industrial applications are connected.
We can provide the complete solution - hardware design and supply, local AI models, platform integration and ongoing support. The scope is defined in the project proposal.
Tell us what your company needs. We'll help you choose the right computing capacity, source a suitable configuration and turn it into a private AI environment.