Hardware, models and support · on-premise AI
Private AI
Private AI. Your AI. Inside your business.
Chatbots, agents and models on your infrastructure. We select the hardware, configure the AI and prepare your team: a system sized for your work, with data under your control.
- Tailored hardware
- Local execution
- Setup and team training
Documents and data inside your infrastructure.
Hardware sized around your workload.
Chatbots and agents ready for work.
Data stays with you
With a fully local architecture, documents, knowledge and processing stay inside your infrastructure.
Compute stays in your business
Local execution means no per-token charges from external AI providers. We size hardware and models for your workloads and budget.
A system ready for work
We handle configuration, delivery and setup, with team training and technical support.
Your infrastructure. Your choices.
AI becomes part of your own infrastructure.
Bringing AI in-house means choosing where data is processed and how to support your workloads. We design hardware, models and applications together.
Business knowledge, processed locally
Chatbots and agents can work with data and documents in your systems. We design the architecture to keep the intended processing local.
A proportionate configuration
From compact systems to workstations and multi-GPU configurations, we select capacity for inference, customization and training.
Sapienta solutions, on your premises
We can install Machinery AI, EdilAura AI, SveltoDoc, GenClient and custom solutions inside your infrastructure.
The configuration follows the workload
Compact, workstation or multi-GPU.
Different hardware classes for different needs. We select and configure the system around your use case and budget.
Compact configurations available for chatbots, agents and AI models inside your infrastructure.
Inside the solution
Hardware and AI, designed together.
The configuration depends on your use case. We define capacity, applications and included services in the proposal.
Hardware sized for the work
Compact systems, workstations and multi-GPU platforms selected for your usage, performance needs and budget. Hardware is chosen for the intended models and workloads.
Local models, chatbots and agents
Installation and configuration of AI and LLM models for chatbots, personal agents and data processing directly inside your infrastructure.
Inference, customization and training
A dedicated environment for running models, adapting them to your context and performing training compatible with the chosen configuration.
Control over data and costs
With fully local execution, data and documents stay on your infrastructure and there are no per-token charges from external AI providers. Hardware, energy, management and support are the costs to consider when choosing your setup.
Delivery, training and support
System preparation, delivery, setup, team training and technical assistance to support ongoing use.
From requirements to setup
A complete system, with the skills to use it.
We start with the work you want AI to handle and prepare each part to run inside your business.
Define the workloads
We gather use cases, user numbers, data volumes, performance needs and budget.
Configure hardware and models
We select the system and install suitable models for the agreed applications.
Deliver and launch
We prepare the local environment and support setup inside your infrastructure.
Train and support
We help your team use the system and provide technical support.
From hardware to everyday work
Sapienta solutions, running locally.
Choose the software for your process. We will plan its deployment on your infrastructure together.
Before we begin
The answers you need.
Does our data really stay on our infrastructure?
Yes, when models and processing run entirely locally. During design, we also define integrations and data flows. Any external services have their own requirements and are assessed explicitly.
Will we stop paying per-token fees?
Local execution incurs no per-token fees from external AI providers. The solution still has costs: hardware, electricity, operation, any licences and support. We account for these in sizing and the proposal; any cloud services have separate costs.
What hardware do we need?
It depends on the models, concurrent users, data volumes and type of work. We assess whether a compact system is enough or whether a workstation or multi-GPU configuration is needed.
Can we run other Sapienta solutions?
Yes. Machinery AI, EdilAura AI, SveltoDoc, GenClient and custom solutions can be installed inside your infrastructure. We size the system and integrations for your chosen applications.
Is model preparation included?
Yes. We select, install and configure the models included in the project, prepare the system and support setup and training. Model customization and training are defined around your objectives and hardware capacity.
Your next step
Let’s define the AI your business needs.
Start with the applications, users and data. We help you choose a concrete configuration, with hardware, models and support that fit your work.
Find your configurationShare your use cases. You do not need to have chosen the hardware yet.