You can buy hardware anywhere. What you're paying us for is choosing the right system, installing it properly, and making it useful for real work.
Product images are representations, not exact models.
For a solo owner who wants one quiet private assistant close to the work.
Best for: A single owner who wants a quiet private assistant.
What it feels like: A small box on the desk that is always ready.
What it runs: Small and mid-size local models, document Q&A, drafting, and light workflow help.
Why clients pick this: Quiet, simple, and easy to place in an office.
Trade-offs: Limited multi-user capacity.
Typical fit: Owner-operated professional service firm.
Best for: A cost-conscious owner who prefers Windows or Linux.
What it feels like: A familiar office computer with private AI added.
What it runs: Small models, simple assistant workflows, and low-volume knowledge lookup.
Why clients pick this: Lower entry cost and flexible operating system choice.
Trade-offs: Less memory headroom.
Typical fit: Trades office with one admin lead.
Best for: A power user who needs more speed without a shared server.
What it feels like: A serious workstation beside the desk.
What it runs: Larger local models, image-adjacent workloads, and heavier automations.
Why clients pick this: More GPU power in a familiar workstation format.
Trade-offs: More noise, heat, and setup care.
Typical fit: Estimator or operations lead processing large document sets.
For a 3-10 person team that needs shared assistants, approvals, and knowledge lookup.
Best for: A 3-10 person team sharing one capable system.
What it feels like: A quiet office appliance that multiple people can use.
What it runs: Shared assistants, knowledge base lookup, approvals, and reporting.
Why clients pick this: Quiet performance and strong memory options.
Trade-offs: Premium hardware cost and supply timing.
Typical fit: Clinic, agency, or professional office.
Best for: A team wanting large memory in a compact non-Apple box.
What it feels like: A compact shared AI appliance.
What it runs: Large-memory local models and several concurrent assistants.
Why clients pick this: Strong memory capacity without a full tower.
Trade-offs: Newer class of hardware with availability to confirm.
Typical fit: Small office with internal operations volume.
Best for: Teams needing GPU throughput for many internal tasks.
What it feels like: A central workstation for heavier shared use.
What it runs: Multiple agents, larger model serving, and reporting pipelines.
Why clients pick this: High throughput and broad compatibility.
Trade-offs: Requires space, cooling, and careful setup.
Typical fit: Production office or agency operations team.
For heavier internal operations that need sustained private throughput and executive visibility.
Best for: Heavy internal ops and private AI development.
What it feels like: A dedicated AI appliance for serious throughput.
What it runs: Large models, sustained inference, and many internal workflows.
Why clients pick this: Purpose-built AI hardware in an office-sized package.
Trade-offs: Higher cost and availability planning.
Typical fit: Production logistics, high-volume service operations.
Best for: Organizations that need maximum local flexibility.
What it feels like: A powerful tower sized for heavy work.
What it runs: Large models, concurrent workloads, and custom internal systems.
Why clients pick this: Maximum configurability and upgrade path.
Trade-offs: Noise, heat, space, and IT involvement.
Typical fit: Operations-heavy company with sensitive data.
Best for: Teams that want production capability without a loud workstation.
What it feels like: Quiet, polished, and easy to live with.
What it runs: Large local workflows where silence and simplicity matter.
Why clients pick this: Office-friendly power and simple management.
Trade-offs: Less expandable than a tower.
Typical fit: Executive office or high-touch client operations.
| Tier | Estimated/current-market hardware cost | Deployment fee | Ongoing support |
|---|---|---|---|
| Desk-side private AI | $1,500-$4,500 CAD | Scoped after assessment | Optional care plan |
| Shared office AI | $4,500-$12,000 | Scoped after assessment | Optional or bundled care |
| Production AI systems | $12,000 and up | Scoped after assessment | Recommended care |
Advisory, specification, installation, configuration, documentation, and support for private AI systems clients own directly.
TLO does not resell the hardware, own the warranty, or pretend every cloud feature arrives locally at the same time.
| Layer | Decision point | Notes |
|---|---|---|
| Memory | How large a model can stay loaded | More memory usually matters more than peak benchmark speed for private business assistants. |
| GPU / accelerator | Inference throughput | Dedicated GPUs help with sustained multi-user workloads and heavier model serving. |
| Storage | Knowledge base and logs | Fast local storage supports document search, retrieval, and auditing. |
| Network | Access and isolation | Private routing, VPN, and local access rules are scoped to the client's risk profile. |
Honesty note: frontier features reach local hardware later. The advantage is control and privacy; the trade-off is that some newest cloud features arrive first in hosted platforms.
Compact machines, studios, and workstations delivered with the client's dashboard and agent workforce pre-installed.
These systems are in development. Join the waitlist if you want a private AI environment planned around your workflows, approvals, and owned context layer.
Join the WaitlistStart with a local AI / hardware assessment, then buy the hardware directly once the spec is clear.
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