Private AI, without your data leaving your network
Your most valuable data is often the data you cannot send to an external AI service. Anyway Systems lets you put it to work. The platform combines your existing GPU servers across generations into one cluster, running powerful open-weight models entirely inside your own network. You keep control of your data and make more of the infrastructure you already own.
Between a running cluster and a system your business depends on sit model selection, data pipelines, application design, security and day-to-day operations. Philico delivers that work end to end and supplies the platform licenses, with one team guiding you from infrastructure to the applications your people use.
The case for on-premise AI
External AI services make it easy to get started, but sensitive data, usage-based costs and provider dependencies can limit adoption. Running models on your own infrastructure gives you control. Anyway Systems simplifies local AI by combining existing hardware, enabling one-click model deployment and handling node failures automatically.
Data Leaves Your Network
Every prompt, document and attachment sent to an external AI service is processed on a provider’s infrastructure. For client records, patient data or confidential business information, that can be a decisive barrier. Local inference keeps the processing inside your own network.
Regulatory Exposure
Banking secrecy, medical confidentiality, data protection and public-sector obligations demand control over sensitive data. Running AI locally gives your security and compliance teams a clear foundation: processing on infrastructure you control, with access and governance designed around your requirements.
Unpredictable Costs
Per-token pricing grows with usage, so successful adoption can also mean a growing bill. Fixed software licensing without per-token fees makes the platform cost easier to forecast and helps you plan wider use across the organization.
Third-Party Dependency
Pricing, terms, retention policies and available models are set by the provider and can change. With an open-weight model running locally, you choose the version your applications use and when to update it. Your validated applications stay under your control.
What it makes possible
Put your existing compute capacity to work on the data your business depends on. A local cluster opens the door to private assistants, document search and automation — with the models and infrastructure under your control.
Confidential Data Becomes Usable
Client records, patient data, contracts, source code and internal documentation become available to local AI models without being sent to an external AI service. Build assistants and workflows around the information that matters most to your business, with data processing kept inside your network.
Existing Hardware Becomes Capacity
Bring older and newer GPU servers together into a single pool of inference capacity. Workstations and datacenter nodes that were idle or isolated can contribute to the same cluster. Philico identifies the equipment you can reuse and the capacity your use cases need.
Longer, More Sustainable Hardware Life
Older machines keep contributing alongside newer hardware, extending their productive use. Anyway Systems describes GPU lifespans of seven years and beyond. Reusing that capacity preserves more of your investment and reduces the need for replacement purchases and hardware disposal.
Get Running in Minutes
Anyway Systems reports a typical platform installation of under 30 minutes by an IT administrator, followed by one-click model deployment. Philico takes it from there: connecting your data and applications so the platform becomes useful to the business.
Built-In Fault Tolerance
If a machine fails, Anyway Systems automatically redistributes workloads across the remaining nodes. When the machine returns, it rejoins the cluster. Philico sizes the infrastructure for your availability and performance needs, helping your team keep services running.
Operation in Isolated Environments
Once the platform and models are installed, the cluster can run without internet access. Bring private AI to air-gapped networks and environments with restricted connectivity, while keeping inference on your local infrastructure.
Freedom to Choose and Change Models
Deploy popular open-weight models such as Llama, Mistral, Qwen and DeepSeek from Hugging Face. Choose the model that fits each use case and adopt stronger versions as they become available. Philico benchmarks candidates against your data before they go into production.
Costs You Can Forecast
Fixed software licensing replaces per-token billing, so each additional prompt does not generate a token charge. Philico helps you build a clear budget for the platform, infrastructure and operations — and plan how to bring AI to more teams.
Already deployed in demanding environments
Anyway Systems reports deployments in Swiss federal and cantonal administration, international banking and the defense sector — environments where confidentiality and control over infrastructure are essential.
Where Philico comes in
The value of private AI comes from what your teams can do with it: find answers in internal knowledge, automate document work and build assistants around their daily tasks. Philico connects the platform, your data and your applications to deliver that value.
Infrastructure Assessment and Sizing
We review the GPU and server capacity you already hold and size the cluster for your models, usage and performance targets. You get a clear view of what can be reused and where new capacity would add value, before purchasing hardware.
Deployment and Integration
We install and configure the cluster, connect it to your identity, network and monitoring systems, and integrate model endpoints with your applications. You receive an operable platform, documented and ready for your team.
Model Selection and Evaluation
Open-weight models differ in accuracy, latency and resource needs. We benchmark suitable candidates against your own data and quality criteria, so you choose the model that performs best for your use cases.
AI Solution Delivery
Our AI and Data team builds the assistants, retrieval pipelines, agentic workflows and process automation that turn local models into business tools. We connect them to your data and workflows so your teams can put the capability to work.
Security, Compliance and Governance
We document the architecture, define access controls and align the deployment with your governance framework and data protection requirements. Your security and compliance teams get the visibility they need to review the solution and support its adoption.
Operations and Enablement
We support your platform after go-live: monitoring cluster health, managing model updates and capacity changes, and training your teams. Together, we establish an operating model that keeps your applications useful as adoption grows.
Why work with Philico
From infrastructure to the applications your teams use, we bring the engineering, industry experience and local presence to make private AI work for your business.
One Partner from Assessment to Production
Philico brings together platform licensing, infrastructure work, application delivery and ongoing support. You have a clear point of contact across the project and a team that connects the platform to the results your business needs.
Engineers First
Our AI and Data practice builds production data pipelines, retrieval systems, agentic workflows and generative AI applications. We bring that engineering experience to your private AI deployment, from the first prototype to the systems your teams rely on.
Built for Regulated Industries
We work with banking, pharmaceutical and manufacturing clients where data residency, auditability and access control are central to technology decisions. We bring those requirements into the design of your AI applications from the start.
Swiss and On Site
Anyway Systems and Philico are based in Lausanne, with a further Philico team in Zurich. You get local expertise, a direct relationship with the platform provider and consultants who can work on site for deployment, integration and team enablement.