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The AI layer your company runs on.

One foundation under every AI system in your company: a brain over all your data, the agents that do the work, the best model for every task, and the security and control around all of it. Built around your own processes, owned by you.

100%yours to keep
99.98%uptime
-38%cost per task
Running
Before and after

What changes with AI Infrastructure.

The problems we hear most often before we start, and what the same work looks like once AI Infrastructure runs it.

Today
  • Knowledge sits in drives, inboxes and people's heads
  • Every AI tool has its own login, data and bill
  • Nobody knows what the AI can see or what it costs
  • Each new idea starts again from zero
With AI Infrastructure
  • One company brain that every agent and employee uses
  • One foundation, one set of rules, one bill you can read
  • Permissions per role and a log of every action
  • Every new system plugs in, faster and cheaper
How it works

What happens, step by step.

What AI Infrastructure does from the moment something comes in, until the work is done.

  1. Step 1

    Connect your tools

    We connect your drives, inbox, CRM and accounting, read-only to start with.

  2. Step 2

    Build the company brain

    Every document is indexed with its permissions, so people and agents only see what they may.

  3. Step 3

    Add the agents

    Agents for sales, support or operations plug into the same brain and the same rules.

  4. Step 4

    Control and report

    Mission Control shows every action, approval and cost. You get a report every Monday.

What it covers
01

Company brain

Every document, deal, email and conversation in one live, searchable layer. Every agent and every employee works from the same knowledge, with sources.

02

Agents on one foundation

Sales, support, operations and custom agents all plug into the same brain, rules and controls, so each new system is faster and cheaper to add.

03

Security and governance

Each agent runs isolated, sees only what its role allows and logs every action. Secrets stay in a vault, data stays in your region.

04

Any model, routed per task

OpenAI, Anthropic, Google or open source, chosen per task for quality and cost, with spend limits and alerts before anything drifts.

The layers

Five layers, one foundation.

From your tools and data at the bottom to Mission Control at the top. Security and governance run through every layer.

05Mission Control

You see everything, approve what matters and set the rules.

ApprovalsResults per agentRules and limits
04Agents and workflows

Every agent does one job well and shares the same foundation.

SalesSupportVoiceOperationsQuote agentMedia buyerYour custom agent
03Company brain

All your documents, deals and conversations, searchable, with sources.

184,220 documentsLive syncAnswers with sources
02Model layer

The best model for each task, switched when a better one comes out.

OpenAIAnthropicGoogleOpen source
01Your tools and data

Connected where they are. Nothing moves to a tool you do not control.

Security and governanceIsolationPermissionsAudit trailCost limitsYour region

Built around your own processes. You own the code, the data and the runbooks.

Company brain

Ask anything. Get the answer with its source.

Every employee and every agent works from the same knowledge, and only sees what their role allows.

app.unit33.ai / Mesa Partners / Company brainLive

Company brain

Every document, deal and conversation as one linked vault

184,220notes
1.2Mlinks between them
1.2sanswer time
5sources in sync
VaultMesa Partners
Search notes
▾Clients412
Mesa Builders.md
Arbor Logistics.md
Kettle & Co.md
Northpoint Legal.md
▸Projects1,284
▸Quotes3,910
▸Meetings2,206
▸Processes186
▸People96

Synced from

Graph view184,220 notes · 1.2M links
Drag to rotate
ClientsProjectsQuotesPeopleMeetingsProcesses
+ Call notes, Oct 15 · linked to 3 notes
Mesa Builders.mdQ-1874.md
typeclientowner[[Sarah Kim]]stageactivevalue$82,080

# Mesa Builders

Warehouse fit-out client since [[Kickoff Mar 2025]]. Quoted [[Q-1874]] at $86,400 and signed at $82,080 after a [[5% discount]] asked by [[J. Ruiz]].

Backlinks · 14

  • Q-1874.md
  • Call notes, Oct 15.md
  • Pricing 2025.md
Ask the vault
The screen

What you see every day.

The screen that comes with it: the work in progress, what waits for your approval and what it is worth.

app.unit33.ai / Northwind Group / AI infrastructureLive

AI infrastructure

The AI layer your company runs on, built around your processes

99.98%uptime, 90 days
48,210agent runs today
-38%cost per task
0data leaving your cloud
Requests per hourlast 24 hours · 48,210 total
00:0012:00Now

Agents on this infrastructure

Sales agent4,210
Support agent12,804
Voice receptionist1,122
Ops agent6,930
Quote agent884
Company brain22,260
Security and governanceAll clear
  • Every agent isolatedOwn container and own keys
  • Permissions per role214 rules, checked on every request
  • Allowlist enforcedAgents only run approved actions
  • Audit trail48,210 events today
  • Secrets in a vaultNever in prompts or logs
  • Data regionEU Frankfurt
Blocked

Sales agent tried to open the HR folder. Not allowed for this role, logged for review.

Keep blockedAllow once
Models and cost
Fast model72%
Strong model24%
Private model4%
Cost this month$2,840

71% of your $4,000 limit · alerts at 90%

Connectors

HubSpot84 ms
Gmail112 ms
Google Drive96 ms
QuickBooks140 ms
Slack61 ms
Examples

What it looks like in a real business.

Three typical situations we come across, and what the system does in each of them.

Example 01

A company brain for a consultancy

The situationKnowledge was spread over drives, inboxes and people's heads.

  1. Drives, email archives and the CRM are connected
  2. Everything is indexed and kept up to date
  3. Staff and agents ask questions in plain language
  4. Every answer shows its source

The resultOne place for every answer, used by every team.

Example 02

Private AI for a regulated business

The situationClient data could not be sent to public AI tools.

  1. The infrastructure is built around the company's own processes
  2. Data stays in their region
  3. Access is limited per role
  4. Every request is logged for audits

The resultAI in daily work without data leaving the company.

Example 03

From loose tools to one foundation

The situationEleven AI tools, each with its own login, data and bill.

  1. All tools and data are mapped in the plan
  2. One brain and one set of rules replace them
  3. Existing automations move onto the foundation
  4. Cost per task is tracked per agent

The resultFewer tools, lower cost and full control.

Guardrails

What it does alone, what waits for you.

These are the default rules. We set them together in the first week, and you can change them any time in Mission Control.

Runs on its own
  • Answer questions from the company brain, with sources
  • Route each task to the right model
  • Log every action and check every permission
Always waits for a person
  • Access to a new data source
  • A new agent going live
  • Raising a spend limit
Works with the tools you use
OpenAIAnthropicGeminiAWSGoogle CloudSupabase

And most other tools with an API. On the call we check yours.

Your numbers

What could it be worth for you?

Move the sliders to your own situation. You get a first estimate right away.

Estimated value per year$65,520
1,456hours back per year
15work days back every month

Estimate based on automating about 50% of this work. Your real numbers come out of your free build plan.

Get my real numbers
Getting started

Live in weeks. One fixed fee.

Usually two to four weeks from the first call to a live system. You spend about two hours with us in the first week. After that you review and approve. How it works in detail

  1. Week 1Map the work

    We sit with your team, map the process and agree on what we measure.

  2. Weeks 2 to 3Build and connect

    We build inside your tools and test it on real cases from your own history.

  3. Week 4Live with approvals

    It goes live with approvals switched on, so nothing important happens without you.

  4. Every week afterRun and improve

    We watch the results, fix what slips and send you a report every Monday.

What is included
  • A company brain over your data
  • Isolated agents with permissions per role
  • Audit trail and cost limits
  • Built around your own processes
  • Mission Control and the Monday report
What we need from you
  • About two hours of your time in the first week
  • Access to the tools it works in
  • One person who approves what matters

One fixed monthly fee, agreed in your free build plan. Model usage and software are billed at cost. How pricing works

Questions

AI Infrastructure, in plain words.

Something else on your mind? Ask it on your free build plan call.

Is our data safe?

Your data stays in the region you choose. Every agent is isolated, only reaches what its role allows, and every action is logged. Nothing is used to train public models.

Who owns it?

You do. It runs in your own accounts and you get the code, the prompts and the runbooks. If you stop working with us, everything keeps running.

Do we need this before other units?

Small builds can start without it, but most companies start here. Once two or more systems run on one foundation, every new one is faster, cheaper and safer to add.

How long until it is live?

Usually two to four weeks from the first call to a live system. Week one we map the work with your team, weeks two and three we build and test on your own cases, and in week four it goes live with approvals switched on.

What does it cost?

One fixed monthly fee, agreed in writing in your build plan, before anything is built. Model usage, phone minutes and software are billed at cost, with a limit you set.

Can we start small?

Yes. Most companies start with one system, see the results in the Monday report and then add the next one. Everything runs on the same foundation, so each next step is faster.