A private AI workspace
Give employees an approved place to ask questions, summarize documents, and draft content using models running in your environment. Set access and usage rules around the work they actually do.
Private AI on your infrastructureSovereign AI.
Sovereign AI.
Your data.
Your control.
Use AI with your business knowledge while retaining control over where it runs, what it can access, and how it is managed. Techfive deploys and supports private AI on your infrastructure, scoped to your requirements.
Your approved environment
Your team & approved workflows
Approved
knowledgePrivate AI
modelsStorage
& backups
knowledgePrivate AI
modelsStorage
& backups
Identity, permissions & human oversight
Capacity, networking, and resilience scoped with you.
Deployed & maintained by TechfiveWhy Sovereign AI
Put AI to work within your boundaries.
Sensitive business records, proprietary knowledge, and internal policies shape how you can use AI. Start with those requirements and build the environment around them.
Answers from internal knowledge
Make procedures, policies, technical documentation, and project files easier to use. Search approved sources in plain language, with citations and permissions scoped to each team.
Managed Agents with local processing
Use local models for selected document and operational workflows. We evaluate the model against the job, define the systems it can access, and require human approval for sensitive actions.
A private workspace can be useful on its own. When the workload calls for an agent, we evaluate local processing alongside the permissions, integrations, and human oversight that make the complete workflow work.
Governance
Control the whole path your data takes.
The model is one part of the system. Documents, identity, integrations, logs, and backups all need to follow the same agreed boundaries.
Your agreed data boundary
Authorized peopleIdentity & access policies
01Approved knowledgeDocuments, prompts & indexes
02Private AI processingModels evaluated for your work
03Managed storageLogs, retention & backups
04External connectionsEach additional data path is reviewed before use.
Explore the controls that shape your deployment
Define where prompts, files, document indexes, logs, and backups are processed and stored. External connections are documented and approved as part of the deployment scope.
Choose models evaluated for your workloads and infrastructure. We test usefulness, response time, and capacity before recommending a production configuration.
Connect your identity system, scope access to models and knowledge, and set approval boundaries for agents. Your policies determine what employees and administrators can see and do.
Agree on retention, audit logging, backups, updates, and administrator access. Techfive manages the environment against that scope and reviews changes with you.
Your requirements determine the configuration. Connections and administrator access are agreed before deployment.
What does “local” mean for your deployment?
In a fully local processing setup, models and document processing run within your environment, with storage and backups inside the agreed boundary. A connection to Teams, Slack, a hosted model, or another external service creates a data path that must be reviewed. We document the complete configuration before enabling those connections.
Deployment
Built around your requirements.
We scope each deployment against your data policies, existing infrastructure, capacity needs, and operating model.
Your hardware.At your office or data center.
On your premises
Run AI on hardware in your office or data center. We assess your existing servers, network, storage, and backup arrangements, and recommend additional capacity where the workload requires it.
Hardware scopedNetwork scopedResilience scoped
Your private cloud.In a cloud environment you control.
In a private cloud you control
Run privately hosted models in your own cloud environment. We scope region, access, networking, storage, and provider dependencies so you can assess the deployment against your requirements.
Region scopedAccess scopedProviders scoped
Model quality, simultaneous users, document volume, response time, and resilience determine the configuration. Hardware is assessed and quoted separately. The right fit is proven against your work.
Fully managed
One team to deploy it and keep it working.
You set the business requirements and approval boundaries. Techfive manages the agreed AI environment after launch.
Deployment & access
Infrastructure setup, identity integration, model and knowledge permissions, and documented data paths.
Monitoring & maintenance
System monitoring, security patches, configuration maintenance, and model updates tested against your workloads.
Backups & support
Backup and recovery arrangements, retention and logging settings, and technical support within the agreed scope.
Available independently of managed IT. We can coordinate with your internal team or existing provider, or combine AI and managed IT with Techfive. Responsibilities and administrator access are agreed before deployment.
Getting started
Start with one useful workload.
Your first consultation is free. Any pilot, hardware, deployment, and ongoing management are quoted before you commit.
- Discover
Define the requirements
Start with a free consultation about your data, workflows, users, and policies. We assess your infrastructure and identify the workload worth proving first.
- Validate
Scope and prove the fit
You receive a proposal covering any pilot, hardware, deployment, and ongoing management. An agreed pilot tests the workload, model quality, capacity, and data boundaries before wider rollout.
- Operate
Deploy and manage
We configure the environment, identity, permissions, logging, and backups, then help your team adopt it. Monitoring, patching, model evaluation, and support continue after launch.
Local support
Private AI, with a team you can reach.
Available across our existing service areas. On-site work and remote management access are coordinated to your project requirements.
FAQ
Questions about private AI.
Infrastructure, data, support, and cost, explained before you start.
It means using AI while retaining control over the infrastructure, models, data paths, access, and operations. Techfive deploys and manages AI on your own infrastructure or in a private cloud environment you control. The configuration follows your customer-specific security and business requirements.
We assess that before recommending a configuration. Model size, document volume, simultaneous users, response-time expectations, and resilience needs determine the hardware. Existing servers may fit some workloads; additional hardware is recommended and quoted separately when needed.
That depends on the agreed configuration. A fully local processing setup uses local models and document processing, with storage, logs, and backups kept within the agreed boundary. Connecting an external model, search service, business application, or other integration creates an additional data path. We document and review those paths with you before enabling them.
On-premises deployment runs on hardware at your premises or data center. Private cloud runs in a cloud environment you control, with its location, access, and provider dependencies included in the scope. Both can run privately hosted models. We recommend the deployment against your requirements, including infrastructure control, connectivity, capacity, and cost.
Yes, for workloads where the local model and available infrastructure meet the requirements. A private workspace can also be useful on its own. Agents that work in Teams, Slack, email, or other external applications still interact with those services, even when model processing is local. We assess and document the complete workflow rather than assuming local processing makes every connected system local.
Compliance depends on your use case, policies, people, and the complete deployment. Local processing can support your governance requirements, alongside identity controls, access permissions, retention, audit logging, and operational safeguards. We scope those controls to your requirements; self-hosting alone is not a compliance certification.
No. Sovereign AI is available independently of our managed IT service. We coordinate with your internal IT team or existing provider and define responsibility for infrastructure, access, backups, and support in the proposal. You can also combine the services under one Techfive team.
The initial consultation is free. Any pilot, hardware, deployment work, and ongoing management are scoped and quoted for your requirements before you commit. Ongoing management covers the agreed environment, including monitoring, patching, permissions, model updates, backups, and support.
We offer the service across our existing service areas: Kansas City, Overland Park, Olathe, Joplin and the Four State Area, Tulsa, and Northwest Arkansas. On-site installation and ongoing support arrangements are coordinated per project, with remote management where the agreed access policies allow it.
Techfive Intelligence is a member of the Claude Partner Network and holds Anthropic's Claude Code partner badge. Our credentials support our work with Claude; your deployment's models and hosting are selected against your requirements, including local models for Sovereign AI. What certified means →