Private AI for real work

Private AI,
sized to the work.

Keep sensitive work close. Start with the smallest profile that feels useful, then scale when the workload earns it.

Private by design6 profiles
More room for context.Every step keeps the same private boundary.
Your prompts stay local.Privacy
10+ output tokens/sec.Warm, single stream*
Scale when work grows.Fit
01 / The capacity map

Six ways to keep
work close.

Choose by the shape of the work, not a badge.

02Everyday

Edge

02

Structured work close to the source.

RouteSearchSummarise

Everyday assistant lane

03Team-ready

Studio

03

Content, code, and internal documents.

DraftCodeRetrieve

Strong general work lane

04Deep work

Pro

04

More nuance, steadier turnaround.

ReviewAnalyseBuild

Complex work lane

05Long context

Max

05

Large working sets and long briefs.

ResearchSynthesiseReview

Wide-context lane

06High capacity

Workstation

06

Shared knowledge work for demanding teams.

AgentsKnowledgeOperate

High-capacity lane

Capability lanes are workload heuristics, not one-to-one hosted model claims.

A practical floor

10+
tokens/sec

* single active stream, warm decode, fixed prompt mix. Final acceptance is validated on the chosen machine.

02 / How we size it

Work first.
Machine second.

Bring one real workflow. We map the boundary, context, and response standard.

  1. 01
    Workload

    Read, write, retrieve, classify.

  2. 02
    Boundary

    What must stay close?

  3. 03
    Shape

    One person, team, or service?

  4. 04
    Validate

    Test real prompts before sign-off.

03 / Clear boundaries

Private,
with a plan.

Local reduces data exposure and recurring usage costs.

Access controls, updates, monitoring, and a human owner still matter.

Ready when the work is clear

Tell us what should stay close.

Share the workflow. We’ll help you find the smallest setup that earns its place.

Start the conversation