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Concept 02 · Private infrastructure

A dedicated operating foundation for business AI

Your business AI operating system, running on a machine you control.

Commission a customer-controlled AI operating system that keeps infrastructure, model routing, access, approvals, and recovery boundaries visible.

Apple siliconCustomer-controlledHuman-approvedAuditable
Current-generation Mac mini with Apple silicon
ContextOrganized
ControlsEnforced
ModelsDisclosed
01 / SYSTEM

A different kind of AI company

Not another chat subscription. An integrated AI operating system for your business.

Bring context to the surface with content-aware recommendations grounded in your operational data, then act on them safely to generate real results for your business.

02 / FOUNDATION

One connected operating layer

Context before automation. Control before autonomy.

Build around the business you already operate, then expand one accepted workflow at a time.

01

Customer-controlled infrastructure

A dedicated Apple silicon operating anchor with access, accounts, documentation, continuity, and support boundaries defined in the accepted scope.

02

Business context

Organize the offers, customers, policies, operating knowledge, data structures, and approval rules relevant to the first workflow.

03

Connected workflows

Coordinate approved models, tools, agent roles, handoffs, checkpoints, exceptions, and activity records instead of isolated prompts.

04

Human-approved execution

Consequential actions remain bounded by permissions, acceptance tests, human review, spending controls, and rollback paths.

03 / WORKFLOWS

Focus the system where work happens

Operate across the business without promising everything at once.

Begin with one recurring process, prove it against a real baseline, and expand only after acceptance.

Sales

Keep the pipeline moving

Lead research, CRM enrichment, follow-up preparation, funnel analysis, and exception routing.

Human approval and acceptance criteria defined by workflow
Marketing

Coordinate campaigns

Campaign briefs, content generation, channel adaptation, publication preparation, and performance summaries.

Human approval and acceptance criteria defined by workflow
Operations

Improve recurring work

Data processing, process monitoring, handoff coordination, quality checks, and operating documentation.

Human approval and acceptance criteria defined by workflow
Development

Build systems faster

Websites, applications, specifications, testing, release preparation, and internal system improvements.

Human approval and acceptance criteria defined by workflow
04 / DELIVERY

From existing process to production

Build the replacement alongside the business.

When a 30-day target is appropriate, the baseline, tests, responsibilities, dependencies, and acceptance criteria are defined before work begins.

01

Discover

Choose one recurring workflow, document its owner and operating context, and capture a measurable baseline.

02

Build beside it

Configure the machine, business knowledge, models, integrations, agent roles, approvals, and exceptions.

03

Test in shadow mode

Compare cycle time, throughput, cost per task, quality, or conversion without silently replacing the existing process.

04

Approve production use

Put the workflow into production only after its tests, controls, evidence, responsibilities, and rollback path are accepted.

05 / CONTROL

Operate with boundaries and evidence

Know what the system can access, recommend, and execute.

Customer-controlled infrastructure, disclosed model routing, workflow-specific data boundaries, human approval, and auditable activity create a more accountable operating model.

Completely local processing is available for qualified workflows through a workload-selected Hatched Ultra architecture.

01Customer-owned accounts
02Disclosed model routing
03Workflow-specific data boundaries
04Encrypted credential handling
05Human approval checkpoints
06Auditable activity records
07Backups and recovery documentation
08Local processing for qualified workflows
06 / START

Hatched Launch Stack

Hatched Stacks custom AI operating systems start at $9,997.

Start with the Launch Stack and one carefully scoped production workflow. Capacity upgrades and completely local options are compared on the pricing page after the initial overview.

View the starting offer
Starting at$9,997Hatched Launch Stack
  • Dedicated business AI operating foundation
  • Business-context and knowledge organization
  • One carefully scoped production workflow
  • Approved model and tool connections
  • Human controls and exception handling
  • Testing, documentation, training, and defined stabilization support

Final configuration, scope, timing, access, tests, support, and acceptance are confirmed after consultation. Model usage, subscriptions, advertising, and ongoing maintenance are separate unless included in writing.

PROOF, RESPONSIBLY

Evidence replaces hype.

Public proof records will be added only after the work is complete, its before-and-after measurements are verified, and publication permission is obtained. Until then, targets remain targets—not testimonials.

Baselinecaptured before replacementAcceptancedefined before productionActivityrecorded for review

Built with Dawson

Bring the business. Start with the workflow.

Commission a connected AI operating foundation designed around the way your business actually works.

Hatch Your Stack
Hatched StacksYour business AI operating system, running on a machine you control.
Website descriptions are not delivery guarantees. The signed scope controls the engagement.
Hatched Stacks · Private Infrastructure Concept · Hatched Stacks