Pipes · Predictions · Automations

A strategic view of your entire company.

Big companies pay millions for software that pulls every number into one place, shows what is happening, and warns about what is coming. We build the same thing for mid-sized companies, on the systems and spreadsheets you already run, for about a tenth of the price.

  • Your own data.
  • No seat charges.
  • No lock-in.
  • Put AI to work without a data science department.
  • In the cloud, or secure and offline on your own machines.
Pipes Connected, not retyped. The Frame One live model, not twelve tabs. Predictions A forecast, not a guess. Automations Tasks delegated, not done by hand. Billing Accounting Maintenance system Business systems Job travelers Machines and sensors Added-work quotes Inboxes and quotes Stock list Spreadsheets, lists, and logs QuickBooks Accounting Your Frame Inventory Capacity Delivery Cash Quality Equipment Special-order blades 1 on receiving bench: Mon – Wed Order the next blades → Draft purchase order Technician hours booked,next week 104%: Sun – Mon Offer the open slot toa waiting owner → Email draft, forapproval Cases shorted this week 1,168: Mon – Thu Warn the buyer beforethe truck leaves → Email draft, forapproval Works through Microsoft Copilot agents · Google Gemini for Workspace · Slack AI · ChatGPT agents · Grok · anything with an API
Sample — illustrative mock-up

Enterprise-grade data integration and analysis, the kind Fortune 500 companies pay millions for, at a price built for mid-sized companies.

Three things we build, on one Frame

  1. Integration

    Pipes

    Connected, not retyped.

    accounting, job tickets, the inbox, and the spreadsheet that runs the place, joined so each number is entered once and agrees everywhere.

    Mid-size manufacturer, two lines, a CI board

    Your Frame Production lines OEE, line 1, thisweek Changeovers Changeovers thisweek Quality Scrap rate, lastreport Shipping On-time delivery,this month Line log 71% Productionschedule 23 Not recordedanywhere Minutes lost tochangeovers Quality report 3.8%18 days old Shipping log 91%

    Sample — illustrative mock-up

  2. Dashboards and forecasting

    Predictions

    A forecast, not a guess.

    the whole company on one page, and a forecast from its own history that says how far it can be trusted.

    Plant maintenance team, three buildings

    Sample — illustrative mock-up Crew hours booked, next week
    today an overbooked crew · 108% 104%, counted 4 days ago counted today: Sun – Mon as last counted: tomorrow – Tue Work orders waiting on parts: nobody records it, so no forecast
    Above, a fresh count puts crew load at an overbooked crew Sunday or Monday, not between tomorrow and Tuesday.
  3. AI action

    Automations

    Tasks delegated, not done by hand.

    an AI agent takes the work off the list, acting on today's numbers or on what the forecast says is coming.

    Four-crew heating & air contractor

    Your Frame Open jobs the forecast reaches more than fourcrews can work Call the overflow contractor → Text to the office on it reaches more than four crews canwork within 2 days Tell the owner → Text message off no update to open jobs in 3 days Ask for a recount → Message to whoever keeps it on

    Sample — illustrative mock-up

    Solid: on today's number. Dashed: on the forecast. Each one is a switch.

All three run on one Frame: a live model of your company, every number marked current, stale, or dark. How it works

Where it's used

Six of the jobs a Frame does, each drawn on a sample. Every one opens its full mock-up.

  • Inventory

    Reordered in time, not when the shelf is empty.

    Harbor Tool & Supply

    Sample — illustrative mock-up Special-order blades
    today the last blade · 1 on receiving bench 2 on receiving bench, counted 4 days ago counted today: Mon – Wed as last counted: Sun – Thu Saturday counter demand: nobody records it, so no forecast
    Above, a fresh count puts special-order blades at the last blade between Monday and Wednesday, not between Sunday and Thursday.
  • Capacity

    Booked to fit, not overbooked.

    Forty-person business-jet repair station

    Sample — illustrative mock-up Technician hours booked, next week
    today the overtime line · 104% 108%, counted 4 days ago counted today: Sun – Mon as last counted: tomorrow – Tue Days a finding waits for a yes: nobody records it, so no forecast
    Above, a fresh count puts technician load at the overtime line Sunday or Monday, not between tomorrow and Tuesday.
  • Delivery

    Shipped on the date, not explained after.

    Two-shift fresh-cut vegetable plant

    Sample — illustrative mock-up Cases shorted this week
    today a short-ship week · 1,168 Mon – Thu Hours in the cooler before cutting: nobody records it, so no forecast
    Above, cases short reaches a short-ship week between Monday and Thursday.
  • Cash

    Billed when the work is done, not when someone remembers.

    Twenty-two-person commercial glass contractor, install and service crews

    Sample — illustrative mock-up Finished jobs not yet billed
    today the billing limit · $35.4k $34.0k, counted 4 days ago counted today: Sun – Tue as last counted: Sun – Wed Re-cuts and remakes last month: nobody records it, so no forecast
    Above, a fresh count puts unbilled work at the billing limit between Sunday and Tuesday, not between Sunday and Wednesday.
  • Quality

    Reviewed early, not after the customer asks.

    Thirty-five-person AS9100 machine shop

    Sample — illustrative mock-up Open NCRs
    today the review trigger · 5 Tue – next Fri Days parts sit at outside vendors: nobody records it, so no forecast
    Above, open nonconformances reaches the review trigger between Tuesday and next Friday.
  • Equipment

    Serviced before the alarm, not after the stop.

    Three-building biologics site, operations side

    Sample — illustrative mock-up Chiller plant peak load
    today the alarm level · 88% Mon – Wed Hours a delivery waits on the dock: nobody records it, so no forecast
    Above, chiller capacity reaches the alarm level between Monday and Wednesday.

By industry

Most companies this size run on a spreadsheet someone built because the system they pay for could not keep up with how the work really moves. It is often the smartest tool in the building. What it cannot give is every number in one place, which ones to trust, and next week.

If your data is scattered across a dozen systems and spreadsheets, Luke would like to show you what it looks like in one place. Talk to Luke.

Built on the mathematics of quantum physics, run on ordinary computers: every forecast carries how sure it is. See Predictions

Works with Excel · Google Sheets · Power BI. Names belong to their owners; no affiliation or endorsement is implied.