Conclave Request access

■ LOCAL AI // INTELLIGENT ROUTING // PRIVATE BY DESIGN

AI should work for you. On your terms.

Run AI on your Mac. Connect the providers you choose. Conclave routes your work to the right model, with a privacy layer that governs what it can see and what leaves your device.

YOUR CONTEXT. YOUR CONTROL. One workspace. Local and cloud intelligence.
[ REQUEST BETA ACCESS ] [ SEE HOW IT WORKS ]
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FILE 01

Useful AI needs your context.

MEMORANDUM REF: ENC-0417-L

TO: Everyone putting AI to work
RE: The context that makes the answer useful

A useful renewal email needs more than a generic prompt. It needs the relationship with Halvorsen Dental, the $48,000 agreement, and the terms you are willing to offer.

That context belongs in your workspace. A model should receive only what the task needs and your rules allow.

Conclave lets you work with the full picture locally, then control what you share when cloud intelligence helps.

The scenario above is illustrative. Names and figures are fictional.

CONFIDENTIAL
  1. 01Your work, relationships and business details make AI useful. You should control how that context is used.
  2. 02Local models put your own hardware to work. Cloud models extend your options when the task calls for them.
  3. 03Privacy rules belong in the decision itself: which model can do the work, and what it is allowed to receive.
FILE 02 // YOUR WORKSPACE

Your workspace.
Your models. Your rules.

Bring your context into one private workspace. Work with local and cloud models while Conclave keeps your privacy rules in force. Screens below show Conclave with fictional data.

Conclave local workspace with chat composer and model selector
01 / YOUR WORKSPACE — local by default
Conclave request review comparing local context with the outbound request
02 / YOUR CALL — inspect before cloud dispatch
LOCAL AI

Put your Mac to work

Use local models with your private context. Work you designate local stays on your device.

INTELLIGENT ROUTING

The right model for the work

Match each task to capable models across providers, considering quality, speed and cost within your rules.

PRIVACY LAYER

Control what models see

Inspect requests, protect sensitive values and approve cloud disclosures. Your boundaries govern every route.

FILE 03

Privacy is part of the route.

Your context helps you. Your rules protect it. Compare the full context in your workspace with the protected request a cloud model would receive. Choose a local route to keep the work on your device. This interactive example uses fictional data and simulated responses.

ROUTE
INSIDE THE BUILDING // SOURCE
STANDING BY
WHAT LEAVES // OUTBOUND PAYLOAD
Run the demo to inspect a payload.
RESPONSE // RESTORED ON-SITE
—
RULES OF ENGAGEMENT

Interactive illustration: no model calls are made. The simplified routing and readable placeholders explain the experience. Conclave uses request-scoped tokens and cloud approval. Review context carefully: text protection can miss identifying clues.

FILE 04

Control you can inspect.

Conclave keeps signed, linked receipts of requests it handles, so you can review what happened at the privacy boundary. Explore the simplified record below: alter an entry, then verify it. This unsigned demonstration illustrates tamper detection, not a provider’s data-retention practices.

// no transmissions logged. run an intercept in FILE 03.

FILE 05 // INTELLIGENT ROUTING

The right intelligence.
Within your boundaries.

The best model for a task depends on more than capability. Conclave considers the work, quality, speed and cost, with your privacy rules defining which routes are allowed.

  1. 01 / SET THE BOUNDARIES

    Your rules come first

    Local-only work stays local. Sensitive context follows your protection rules before a cloud route can proceed.

  2. 02 / MATCH THE TASK

    Choose the right capability

    Conclave evaluates the task against eligible models, balancing the quality you need with speed and cost.

  3. 03 / KEEP CONTROL

    Know what leaves

    Review the protected cloud request and approve what is shared. Receive a useful answer with your context restored.

LOCAL ROUTE

Private context.
Your own hardware.

Work through a sensitive internal draft with a model running on your Mac. The task stays on your device.

PROTECTED CLOUD ROUTE

Broader intelligence.
Deliberate disclosure.

Use a cloud model for a demanding task. Conclave applies your protections before you approve the outbound request.

FILE 06 // PROVIDER INDEPENDENCE

Your context stays valuable.
Your models can change.

Your workspace should belong to you, even as AI evolves. Keep the context that makes your work useful and adopt better models without starting over with a new provider.

RUN LOCALLY

Local AI is foundational

Connect models running through Ollama on your Mac. Use your own hardware as a meaningful part of your everyday AI workflow.

CONNECT YOUR CHOICE

Freedom across providers

Bring your own connections to OpenAI, Anthropic and OpenRouter. Choose intelligence independently of where your workspace lives.

KEEP YOUR WORKSPACE

Continuity as models evolve

Your conversations, protected terms and privacy choices stay with you. Changing models should not mean rebuilding your working context.

WHY CONCLAVE EXISTS

The most useful AI needs your context.
You should stay in control of it.

FILE 07 // THE TEAM

Security at global scale.
Business building from the ground up.

Brennan leads teams protecting hundreds of millions of users. Lou brings 21+ years of building businesses. Their shared conviction shapes Conclave: people should own their AI workspace, choose their intelligence and stay in control of the context that makes it useful.

Brennan DeckerSECURITY · TRUST & SAFETY

Brennan Decker

Experienced product leader across leading global marketplaces and commerce platforms

Brennan leads a Trust and Identity product organization. His team builds defense-in-depth products that protect hundreds of millions of users across complex, global marketplaces. That work has shaped his belief that security should make technology easier to trust and use.

He is building Conclave so privacy rules govern how AI uses your context, across local models and cloud providers.

BRENNAN ON LINKEDIN ↗
Lou ZarourBUSINESS BUILDING · OPERATIONS

Lou Zarour

Business builder with 21+ years of leadership and operating experience

Lou has spent more than two decades building businesses, scaling healthcare brands and leading teams. He now leads the development of practical AI systems that connect software, automation and real-world operations, with people in control.

His conviction for Conclave is practical: AI should help owners get work done, make better decisions and keep control of their business.

LOU ON LINKEDIN ↗
CONCLAVE

Your context.
Your control.

Local when you want it. Connected when you need it. A private AI workspace that finds the right intelligence for your work, within the boundaries you set.

[ REQUEST BETA ACCESS ][ EXPLORE THE WORKSPACE ]

Built by Brennan Decker and Lou Zarour. Designed around the way you work and the information you need to protect.