A Line subscription is justified from verified savings or avoided risk on one line: fill giveaway, leakers, attenuation variance and tank time, CO2 per batch, or water and energy on pasteurization and CIP. We would rather you started with one line and one number than with a plant-wide program nobody can baseline.
Illustrative scenario: Plant run · one lager batch from brewhouse to can · brewhouse, cellar, filler, tunnel pasteurizer. Not a measured run.
Land on one workflow with a measured baseline. Expand by line, module, site and autonomy stage. Outcome components available on yield, loss, energy and water.
Brew, fill or pasteurization control, or inspection AI, for one line. For beverage makers validating ROI on the wedge.
The whole plant: brew and blend, ferment and yeast, filter and carbonate, fill and seal, pasteurize and CIP, defect and inspect, quality and shelf life, yield and takt, robotic handling and the Cuvera twin.
Beverage groups standardizing on Brewira across sites, with custom recipe, product and tolerance models.
A 15 to 20% discount for annual prepayment.
Enterprise agreements with usage ramps.
A share of measured yield, loss, giveaway, water or energy improvement on the highest-value workflows.
Per-batch, per-line or per-action metering above plan limits.
Modules are licensed per line on the Line tier and bundled on Plant and Enterprise.
| Capability | Line | Plant | Enterprise |
|---|---|---|---|
| Lines covered | 1 | All on site | All in group |
| Agent modules | 1 of 11 | All 11 | All 11 + custom models |
| Cuvera twin | Not included | Included | Custom twin formats |
| Line-edge node | Included | Per line | Fleet managed |
| Guarded PLC writes | Scoped tags | All scoped tags | Group policy |
| Batch genealogy | Included | Included | Included + export |
| Autonomy stages | Shadow, assist, bounded | Shadow, assist, bounded | Shadow, assist, bounded |
| Deployment | Line edge + cloud | Plant edge + cloud | On-prem or private cloud |
| Outcome pricing | On request | Available | Standard |
| Indicative price | $14,000 / mo | $90,000 / mo | $650k – $8.5M ACV |
Every Brewira run is an ordered, inspectable sequence. This is run_scn_01, an illustrative scenario: Plant run · one lager batch from brewhouse to can · brewhouse, cellar, filler, tunnel pasteurizer. Scenario complete · batch inside spec · one human approval at the pasteurizer.
Plant Orchestrator · Pulled the recipe, the package spec, the HACCP plan with its pasteurization critical control point, the yeast lot record and the standing CIP window from the beverage MES and the lab system; locked the target envelope for the run.
Plant Orchestrator · Simulated 24 candidate brew, fermentation and carbonation plans on the Cuvera as-produced twin; ranked them on gravity margin, predicted finish time, CO2 target, PU margin, takt and CO2 and energy use, and discarded every candidate that thinned the pasteurization margin.
Brew-and-Blend · Held wort gravity to recipe from the inline gravity analyzer and the brewhouse PLC, trimming the blend and utilization setpoints inside the recipe window rather than correcting after a spot lab check.
Ferment-and-Yeast · Predicted the attenuation curve and finish time for the tank from inline gravity, dissolved oxygen and CO2, pH and temperature; held the temperature ramp and timed the crash inside the brewmaster-approved window; no stuck or runaway fermentation was flagged.
Filter-and-Carbonate · Fused inline CO2, dissolved oxygen, turbidity, temperature and pressure; held carbonation to the package target with the minimum CO2 and timed the filter backwash from the predicted loading instead of a fixed schedule.
Fill-and-Seal · Adjusted fill valves toward the target level inside the approved window using drift feedback from inspection, and ran seam checks on the seamer; the filler corrected upstream instead of rejecting downstream.
Defect-and-Inspect · 16 camera streams at the line edge: fill level, seam and cap, label and date code, foreign body and container checks on every can; three low-fill rejects were attributed to one filler valve and Fill-and-Seal corrected it.
Pasteurize-and-CIP · Held the tunnel pasteurizer on the validated PU profile at the lowest zone energy inside the envelope; every critical control point reading was written to the audit log against the HACCP plan and the CIP release checks were armed.
Plant Orchestrator · The lowest-energy candidate wanted to move the pasteurizer CIP into a window that overlapped the next brand's start. Held for the shift quality manager, who kept the validated PU profile untouched and approved the CIP move with a tighter release check.
Quality-and-Conformance · Batch released: gravity and attenuation curves, yeast lot, CO2 and clarity, fill and seal outcomes, inspection rejects, PU readings, CIP release and every human decision written to the batch genealogy and checked against spec.
Low-friction entry on a single brewing, filling or packaging line with a hard loss, giveaway or water-and-energy metric, or a paid pilot tied to it.
Adjacent agents in the same plant, then the Plant tier, then multi-site enterprise agreements with plant-edge fleet management and custom models.
Per-batch, per-line or per-action metering above plan limits, and a share of measured yield, loss, giveaway, water or energy improvement on the highest-value workflows.
Floor pricing is protected; discounts are traded for term length and case studies. Expansion is the primary growth engine.
The pilot KPI is chosen so the plant can baseline it from its own lab, checkweigher, meters and QA records before anything is connected.
| Wedge | Product | Number baselined | Source of the number |
|---|---|---|---|
| Fill and seal | Sealix | Giveaway per container; low-fill and leaker rejects by cause | Checkweigher, QA and complaint records |
| Fermentation | Fermix | Attenuation variance; tank time; downgrades | Gravity readings, QA records |
| Carbonation | Carbyn | CO2 per batch; off-spec and clarity rejects | CO2 metering, lab, QA records |
| Pasteurization and CIP | Pastura | Energy and water per hectoliter; PU margin; audit-prep time | Energy and water meters, quality system |
| New-SKU planning | Cuvera | Trial batches per launch; time to launch | Trial records, scheduling system |
Brewira is recruiting three to five design partners for the first cohort. These are the beverage types the products were designed around and where each would start.
Brewhouse to can at scale: gravity, attenuation and fill. Starting wedge: Fermix on one cellar or Sealix on one filler.
Carbonation and high-speed filling across proliferating SKUs. Starting wedge: Carbyn on a carbonation skid, Sealix on the filler.
Fill level, cap and label at the fastest line speeds. Starting wedge: Sealix.
Pasteurization, stability and fill. Starting wedge: Pastura on a pasteurizer, with Sealix on the filler.
Launch cadence and recipe changes. Starting wedge: Cuvera for new-SKU planning, Carbyn and Sealix on the line.
Many brands, many packages, one line. Starting wedge: Sealix, with Pastura where the product is pasteurized.
Brewira writes to production equipment in a food plant. Every capability is scoped, every write is policy-checked, every output is cited, and every action is written to an append-only audit log the plant owns.
| Item | Scope | Status |
|---|---|---|
| SOC 2 Type I | Cloud control plane | QUEUED Roadmap, first 6 months |
| SOC 2 Type II | Cloud control plane | QUEUED Roadmap, 6 to 12 months |
| HACCP · FSMA · FSSC 22000 · BRCGS | Grounding and record-keeping | RUNNING Design basis for retrieval and the audit log |
| Per-tenant isolation | Data, memory, models | RUNNING Design rule |
| On-prem deployment | Recipe-sensitive producers | RUNNING Design option |
Brewira supports your food-safety records. It is not a certification and it does not replace your HACCP plan.
The three people in a beverage plant whose week changes when the process runs itself, and what each of them needs from Brewira.
Owns production rate, quality, loss, giveaway and yield, water and energy, and food safety. Wants a plant that holds spec at higher rate with fewer interventions, and a number that justifies the spend.
Owns recipes, brewhouse and blend, fermentation and carbonation process windows and yield. Approves and corrects the agents in assist mode; those corrections train the models.
Owns product quality and safety under HACCP, FSMA, FSSC 22000 and BRCGS, contamination and fill and seal conformance, and batch genealogy. Needs every action grounded, cited and written to an immutable record.
IT/OT and sustainability leads approve the deployment. There are no customer quotes on this site yet; design partners will speak for themselves when they choose to.
One policy model, one audit trail and one set of yield, loss, giveaway, water and energy benchmarks across every plant in the group, with each site's recipes and tolerance models kept private to that site.
The questions plant directors, brewmasters and quality managers ask in the first meeting.
Only at the autonomy stage your plant has set, and only to an explicit allow-list of low-risk loops inside documented limits. Every design partner starts in shadow mode, where Brewira predicts and writes nothing. Assist mode follows, where a brewmaster or process engineer approves each recommendation. Bounded autonomy on filling, carbonation and inspection loops comes after the food-safety and ROI gates agreed up front.
Critical control points are not optimization variables. The pasteurization PU profile, the CIP release checks and the batch release decision stay with your HACCP plan and your people. Brewira verifies readings, writes them to an immutable audit log and attaches them to the batch genealogy. It is grounded in HACCP, FSMA, FSSC 22000 and BRCGS procedures; it is not a certification and does not replace your plan.
Brewira sits above your existing automation as a supervisory layer. If it stops, the plant keeps running on its current PLC and SCADA control and the interlocks it already has. A Brewira outage degrades the plant to the way it runs today, not to a stop.
The first phase is shadow mode on one line: Brewira reads your analyzers, PLC history, lab results and MES while you run the plant as usual, and we measure its predictions against your lab, QA and PLC outcomes. Recommendations start when accuracy is proven against that baseline, and improve as plant-specific history and brewmaster corrections accumulate.
Recipes, product specs, tolerance models and supplier data are tenant-scoped and never used to train another customer's models. Retrieval is multi-tenant isolated and permission-aware. Cross-plant learning, where a customer opts in, is federated and IP-isolated. On-prem deployment is available for producers protecting sensitive recipes.
You are, the same as with any control strategy. That is why every write is policy-checked, bounded, logged and reversible, every output carries a citation to the recipe or procedure it relied on, and anything above your threshold waits for a named approver. The audit log records the request, the reasoning, the limits applied and the human decision.
As a design partner, on one line, with one hard metric: fill giveaway and low-fill rejects, leaker and seal faults, attenuation variance and tank time, CO2 use and clarity rejects, or water and energy on pasteurization and CIP. We instrument the line in shadow mode, measure the baseline, move to assist mode when accuracy is proven, and expand only when the number holds.
Full multi-module autonomy across the whole plant, long-tail integrations beyond the design partners' stacks, and self-serve onboarding. The first release is one wedge workflow, its connectors, the agent loop with human checkpoints, the review console and the assurance-grade food-safety audit log.
Tell us the line and the number. We will tell you whether a pilot can baseline it.
↑↓ navigate↵ openesc close
