Choose the right home for the work

Does your AI
need the cloud?

Sometimes it does. Sometimes your business is better served by AI on its own hardware. Compare the responsibilities as well as the features.

Serena Business and hosted knowledge assistants

A different place to run.
A different set of tradeoffs.

This compares Serena’s stated product scope with common hosted-service arrangements. Individual providers differ. It is not a performance benchmark or a claim that either approach always costs less.

Local AI and hosted knowledge assistants: practical planning comparison
What mattersSerena Business · LocalHosted knowledge assistants
Where the knowledge livesOn customer-controlled hardware in your deployment.On infrastructure operated by the provider; residency and access terms vary.
Where answers are processedCore Serena processing runs locally. Optional external AI clients change the data path.Usually on the provider’s or its model provider’s infrastructure. Check the exact service.
Internet requirementsCore local processing; separate requirements for setup, licensing, updates, and connections.Typically requires internet access for hosted knowledge and model services.
Getting startedWindows hardware, installation, activation, and knowledge setup.Typically an account and source connections; setup varies by service.
Documents and connectionsDocument import is the current core workflow. Drive, Notion, and marketplace connections are planned.Many services offer source connectors. Confirm what is available now versus advertised on a roadmap.
Users and permissionsConfirm user access, supported concurrency, and deployment scope with FolkTech.Seat limits, source permissions, SSO, and governance vary by plan.
What goes into the costDeployment, suitable hardware, implementation, support, and maintaining backups. Confirm what the proposal includes.Subscription or seat charges, model usage, storage, implementation, and higher-tier features may apply.
Backups and maintenanceCustomer and FolkTech responsibilities must be agreed, including backups and recovery keys.Provider handles hosted infrastructure; check retention, export, recovery, and service terms.
Connected AI toolsClaude and Hermes have connected through Myelin MCP. Supported client setup must be confirmed.Client integrations depend on provider and plan. Check permissions and where each request goes.
Which direction fits?

Start with your constraints.

Consider local

Custody matters
to your work.

You want core knowledge processing on your hardware, can provide a suitable Windows environment, and have a plan for access, backups, and maintenance.

Consider hosted

You want the provider
to run the infrastructure.

You accept the service’s data handling terms, have dependable connectivity, and value its available integrations and managed environment.

Consider a mixed approach

Different work.
Different requirements.

Some tasks may belong locally and others in cloud tools. Define those boundaries explicitly. This is a planning option, not a promise of automatic hybrid routing in Serena.

Cost without the shortcuts

Compare the whole bill.
Then test the value.

A low subscription price does not tell you the full cost. Neither does “runs locally.” Include hardware, usage, setup, maintenance, and the time your people spend using the system.

Hours freed are capacity you can use. They are not automatically cash savings or a guarantee of results.

A fair comparison

Compare what ships.
Ask what is proven.

A product page is a starting point. Ask any vendor, including FolkTech, to demonstrate your actual workflow, explain access controls, and show how you export or recover your information.

For another approach, explore Brain’s own product information ↗. Check its current plans and terms directly. We have not independently tested its product and are not claiming feature-for-feature equivalence.

Comparison prepared September 23, 2026. Serena app connections are roadmap items; deployment availability and installation arrangements are confirmed before purchase.

The cloud should be a choice

Choose based on the work.
We can help you do that.

Start with a fit conversation. If you need a deeper review, ask about the paid AI Workload & Readiness Assessment. A useful recommendation may be local, cloud, hybrid, or not ready yet.