Alpha demo · HIVE MIND

Seven scenes from a factory floor that runs itself.

The HIVE MIND alpha is a full-stack platform that authors products, designs reconfigurable lines, runs production, and learns from every run. Walk through the seven capabilities below — then drive it yourself.

The HIVE MIND is a working MVP, demonstrated live.

Request access to get the live demo link and access code.

01
Products · Asimov v1

Product BOM + 3D hero render

Author the product and manage the bill of materials in one place. A 178-line BOM, revision control, and assembled / exploded 3D hero renders — the design layer every run is built from.

  • Revision controlRev A (178 lines), lock, clone, and export the BOM
  • 3D rendersassembled engineering drawing and exploded parts view
  • Recipes linkedwork instructions attached to manual cells
Scene 01 · ProductHIVE MIND product view showing the Asimov v1 bill of materials with assembled and exploded 3D hero renders
02
Hive view · Layout

Click a hex — the inspector fills.

The factory floor as a living hex grid. Lay out additive, subtractive, pick-and-place, welding, test, inspection, manual, and packing cells. Select any cell and the right-hand inspector shows its state, recipe, live events, and performance.

  • Cell palettedrag in any cell type to compose a line
  • Layerstoggle Health, Speed, Part/Run, Kanban, Alerts, Monte Carlo
  • Status legendReady · Running · Attention · PM due · Down · Offline
Scene 02 · Hive viewHIVE MIND hive view showing a hexagonal grid of manufacturing cells with an inspector panel
03
Cell detail · Connections

Status light, interfaces, and a code peek.

Every cell exposes its interfaces — power, network, material in/out, air — plus input and output buffers, cycle-time targets, and pass/fail counts. Wire each cell to its physical hardware and peek at the live stream.

  • Interfaces diagramPWR · NET · IN · OUT · AUX · AIR per cell
  • Test / Open / Disableverify each connection before going live
  • Code peekRTSP stream preview and connection health
Scene 03 · Cell statusHIVE MIND cell detail page showing status light, interfaces diagram, buffers, and wiring connections
04
Equipment · Recipe loading

Resolve the ready-gate. Load the recipe.

Before a run can start, every cell must clear its ready-gate. The HIVE MIND surfaces the blockers — which cell needs a recipe for which part — and offers the BOM-matched recipe versions to load. The bridge between the software recipe and the physical machine, with version control at every step.

  • Ready-gate blockersevery unresolved cell listed before a run starts
  • BOM-matched recipesonly versions matching the active bill of materials
  • Load / Unloadpush or pull recipes onto each cell, version-tracked
Scene 04 · EquipmentHIVE MIND resolve ready-gate dialog showing BOM-matched recipe options to load onto a cell
05
Alerts · Quality & PM

Catch problems before they stop the line.

A unified alert feed across the hive — critical, warning, and info — mapped onto the cell grid. Drill into any cell to see non-conformance records, root-cause notes, and upcoming preventive maintenance.

  • Severity triagecritical / warning / info counts at the top
  • NCRslayer adhesion, cosmetic, and process deviations with notes
  • Upcoming PMe.g. filament reel swap scheduled in 28h
Scene 05 · AlertsHIVE MIND alerts view showing warning counts, a hive status mini-map, and non-conformance records
06
Analytics · KPI overview

Throughput, yield, OEE — live.

KPI tiles compare a focused run against a 30-day baseline, with cycle-time-by-station bars that surface the bottleneck cell instantly. Yield-by-part-kind and a recent-events stream keep the floor legible at a glance.

  • KPI tilesThroughput, First-Pass Yield, OEE, Scrap $ with deltas
  • Bottleneck detectioncycle time per station vs. target
  • Recent eventsunit_out throughput impact, timestamped
Scene 06 · AnalyticsHIVE MIND analytics KPI overview showing throughput, first-pass yield, OEE, and cycle-time-by-station bar chart
07
Analyze · Compare · Simulate

Monte Carlo distributions by run type.

Compare cohorts — balanced, fast-path, high-yield, night-shift — then simulate. 500 Monte Carlo runs per cohort produce runtime distributions that make the speed-versus-yield tradeoff viscerally clear before you commit the floor.

  • Run-type cohortsper-cell mean ± σ with confidence
  • Simulatetarget qty and N sims, run in-browser
  • Distributionsoverlapping histograms with cohort medians
Scene 07 · Monte CarloHIVE MIND analytics compare view showing Monte Carlo runtime distributions for balanced and fast-path run cohorts
Drive it yourself

A working MVP, demonstrated live. Take the controls.

Log in with any profile and explore the full HIVE MIND — design a product, lay out a hive, run a line, and simulate the outcomes.

Request access to get the live demo link and access code.