Pricing

Priced per line. Justified per tonne.

Three tiers: Line at $16,000 a month, Plant at $95,000 a month, Enterprise landing between $700k and $9M ACV. Annual prepay carries a 15 to 20 percent discount.

Pricing

Priced per line, per plant, per group

Land on one workflow with a measurable baseline. Expand by line, module and autonomy level. Outcome components available on yield, cullet, defects and energy.

Billing period
Line $16,000 per forming or annealing line / month · billed monthly

Melting and forming control, annealing control or inspection AI for one line. For glass makers validating ROI on the wedge.

  • One line, one agent module
  • Plant-edge inference node included
  • Furnace, forming, lehr or inspection connectors
  • Run log, audit trail, ware genealogy
  • Business-hours support
Start a line pilot
Enterprise Custom land $700k – $9M ACV

Multi-site glass groups standardising on Glasent, with custom composition, forming and tolerance models.

  • Multi-site plant-edge fleet
  • Custom composition, forming and tolerance models
  • Group autonomy policy and approval chains
  • On-prem and air-gapped options
  • SLAs, SSO and a dedicated engineer
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What is in each plan

Modules are licensed per line on the Line tier and bundled on Plant and Enterprise.

What is in each plan
CapabilityLinePlantEnterprise
Lines covered1All on siteAll in group
Products1 of 6All 6 + 4 scopesAll + custom models
Glastwin twinNot includedIncludedCustom models
Plant-edge nodeIncludedPer lineFleet managed
Guarded writesScoped tagsAll scoped tagsGroup policy
Ware genealogyIncludedIncludedIncluded + export API
Autonomy levelsL1–L2L1–L3L1–L4 planned
SSO / RBACNot includedSSOSSO + tag RBAC
Air-gapped deploymentNot includedOptionalIncluded
SupportBusiness hours24/724/7 + named engineer
Model reviewAnnualQuarterlyQuarterly per plant
Indicative price$16,000/mo$95,000/mo$700k–$9M ACV
Run timeline · scenario

What you are actually buying

Every Glasent run is an ordered, inspectable sequence. This is scenario_fl2_01 on FL-2 · float line · clear soda-lime: Thickness change FL-2 · 6 mm to 4 mm clear float, residual stress inside spec, zero escaped seeds. It is a worked scenario that shows the shape of a run, not a measured customer result.

scenario_fl2_01 · agent graph · FL-2 10 nodes · 1 approval gate · scenario
01 · orchestrator ingest.order ✓ SUCCEEDED 02 · twin twin.simulate ✓ SUCCEEDED 03 · batch_melt melt.pull ✓ SUCCEEDED 04 · form_shape form.ribbon ✓ SUCCEEDED 05 · anneal_stress anneal.curve ✓ SUCCEEDED 06 · defect_inspect inspect.ribbon ✓ SUCCEEDED 07 · orchestrator yield.balance ✓ SUCCEEDED 08 · orchestrator approve.human ◆ APPROVAL 09 · robot_handling handle.stack ✓ SUCCEEDED 10 · orchestrator ware.qualify ✓ SUCCEEDED
scenario_fl2_01 FL-2 · float line · clear soda-lime scenario SUCCEEDED
  1. 01 ingest.order SUCCEEDED 0.9 s

    Plant Orchestrator · Pulled the 4 mm clear float spec, optical-grade tolerances and the standing energy window from plant MES; locked the target envelope for the run.

  2. 02 twin.simulate SUCCEEDED 41 s

    Glastwin · Simulated 36 candidate transition recipes across furnace pull, tin-bath ribbon speed and lehr curve; ranked them on seed risk, residual stress and energy per tonne.

  3. 03 melt.pull SUCCEEDED 6 m 20 s

    Meltrix · Stepped furnace pull toward the new ribbon mass flow while holding melt temperature and fining; chemistry stayed inside the composition window.

  4. 04 form.ribbon SUCCEEDED 4 m 05 s

    Formeon · Raised ribbon speed and re-angled the top rollers to thin the ribbon toward 4 mm; thickness converged inside the design tolerance.

  5. 05 anneal.curve SUCCEEDED 3 m 12 s

    Anneon · Re-shaped the lehr cooling curve for the thinner, faster ribbon so residual stress stays inside spec at the higher speed.

  6. 06 inspect.ribbon SUCCEEDED continuous

    Seedscan · 8 camera, optical and stress stations streaming; a seed cluster flagged at the ribbon edge and attributed to the pull transient, routed to cullet.

  7. 07 yield.balance SUCCEEDED 2.4 s

    Plant Orchestrator · Re-sequenced cut sizes so transition ribbon routes to cullet recovery and good ribbon to the highest-value open order.

  8. 08 approve.human APPROVAL 48 s

    Plant Orchestrator · The second pull step exceeded the site autonomy threshold. Held for the glass technologist on shift; approved and written to the audit log.

  9. 09 handle.stack SUCCEEDED 1 m 10 s

    Panebot · Re-planned pick and stack paths for the thinner panes; plates flagged by Seedscan diverted to cullet, good plates stacked to rack A3.

  10. 10 ware.qualify SUCCEEDED 1 m 02 s

    Plant Orchestrator · Lot released with full genealogy: batch, melt, forming, lehr curve, defect map, stress map and the technologist's approval.

Packaging

Land, expand, monetise the value

The packaging logic from day one: a low-friction entry on one workflow, expansion by line, module, site and autonomy level, and outcome pricing on the highest-value workflows.

Land

One workflow, clear ROI

A Line pilot on melting and forming control, annealing control or inspection, with a baseline agreed before shadow mode.

Expand

Lines, modules, sites, autonomy

Add the adjacent agent when attribution shows where the next number is. Move to Plant when the loop is worth closing across the site.

Monetise value

Usage and outcome

Per-ware, per-line and per-action metering above plan limits, plus a share of measured yield, cullet, defect and energy improvement on enterprise deals.

ROI

The arithmetic plants actually run

No invented savings. This is the method a pilot uses to decide whether the subscription pays.

  • Baseline first. Cullet, defect rate, energy per tonne, breakage or escaped-defect risk measured from the plant's own genealogy before any recommendation is scored.
  • Same instruments. The pilot is scored on the inspection and SCADA data the plant already trusts.
  • Exclusions listed. Campaign changes, raw-material swaps and unrelated outages are named and removed from both sides.
  • Conversion rule. A pilot converts only when measured ROI supports the subscription and any outcome fee.

Pilot report fields

KPI
one of cullet · defects · energy/t · stress · FPQ · escapes
Baseline window
agreed before shadow mode
Measurement
plant genealogy and inspection records
Exclusions
listed per event
Result
reproduced figure vs baseline
Decision
convert · extend · stop
Measured

What the pilot measures

These are the numbers the architecture is built to hit and the pilot is built to measure. None is a customer result yet; every pilot report reproduces its figures from the plant's own ware genealogy.

90–120 days Paid line pilot, shadow to assist to bounded writes
3–5 Design-partner plants in the first cohort
50k–250k Synthetic rare-defect scenes per glass family · planned
1,500°C Where the process starts, in furnaces that run for a decade
Which plan

Which plan fits

A quick read on where a plant usually lands.

Line

Validating the wedge

One furnace, forming line or lehr with a clear problem and executive mandate to prove autonomy on a hard KPI.

Plant

Closing the loop

A plant that has proved one number and wants melt, forming, annealing, inspection, handling and the twin working as one.

Enterprise

Standardising the group

A multi-site glass maker wanting one policy model, one audit trail, custom composition and tolerance models and an edge fleet.

Guardrails

An agent that can move a furnace needs a leash

Glasent writes to production equipment. Every capability is scoped, every write is policy-checked, and every action is written to an append-only audit log the plant owns.

  • Bounded action space. Each agent can only write to an explicit tag allow-list, inside per-tag rate and magnitude limits.
  • Policy engine before every write. Autonomy level, shift, product, interlock state and operator presence are all evaluated before a setpoint moves.
  • Human-in-the-loop gates. Anything above the site threshold, pull steps, grade releases, safety-adjacent moves, waits for a named approver.
  • Immutable audit log. Append-only, hash-chained, exportable, and retained on the plant's own storage.
  • Hard fallback. Loss of the edge node, the network or the model returns control to the furnace, forming and lehr systems' last known-good state.
  • Tenant and IP isolation. Compositions, forming recipes and defect libraries never cross a customer boundary. On-prem deployment available.

Compliance posture

Compliance and certification status
StandardScopeStatus
SOC 2 Type ICloud control plane RUNNING Planned in the first six months
SOC 2 Type IICloud control plane QUEUED Planned in months six to twelve
IEC 62443Plant-edge OT security RUNNING Design-aligned
ISO 9001 / IATF 16949Quality and genealogy records SUCCEEDED Record formats supported
Container and safety-glass standardsStress and defect conformance records SUCCEEDED Record formats supported

Read the security overview

From the plant floor

The problems we hear

No customer quotes yet; we are pre-launch. These are the three buyer personas the product is built for and the pain each one describes, in their own terms.

"The furnace has run for years on the same setpoints. The process never has. We find out a melt drifted when the cullet pile grows."

Plant / operations director · ICP persona

"I can tell you why a check appeared from the lehr curve and the gob weight. I cannot be at every line, and the people who could are retiring."

Glass technologist · ICP persona

"A missed seed is a reject. A missed stress fault is a pane that shatters in the field. I need genealogy on every piece, not a spot check."

Quality / reliability engineer · ICP persona
Enterprise

Standardise autonomy across the group

One policy model, one audit trail, one benchmark across every line in every plant, with the composition and forming models kept private to each site.

Talk to us Enterprise details

  • SSO and role-based access down to the tag level
  • Group-wide autonomy policy with per-site override and approval chains
  • Cross-plant benchmarking on cullet, seeds, energy per tonne and first-pass quality
  • VPC, on-prem and air-gapped plant-edge deployment options
  • Custom composition, forming and tolerance models per site
  • Dedicated deployment engineer and quarterly model review per plant
FAQ

Commercial questions

Tiers, discounts, outcome components and fit.

One agent module on one forming or annealing line at $16,000 a month: melting and forming control, annealing control or inspection AI, with the plant-edge node, the connectors for that line, the run log and ware genealogy.

Get started

Start with one line

A Line pilot with a pre-agreed baseline is how every plant starts. The report decides what comes next.