The first AI built around how a plant actually runs.
Strong Systems' co-pilot isn't a chat bubble pinned to the corner. It's a set of focused assists that draft the work your plant manager, compliance officer, and bookkeeper already do — using the live numbers from your own workspace.
Built around the floor, not bolted on.
Every assist pulls from the same fermentation, distillation, barrel, and dashboard data your team already captures — so a draft reflects what is actually happening on the floor right now, with the source rows cited.
Reorder suggestions
Looks at items below reorder point, 30-day consumption, and lead time to propose a draft PO. You always review before placing.
Batch summaries
One paragraph current status, top three highlights, and a callout for the next decision your plant manager owes the batch.
Blend suggestions
Given a target proof and volume, draft a blend from aging barrels — with the exact dump gallons per barrel and a rationale.
TTB period narrative
Draft the explanation that goes with your monthly filing: variances, losses, transfers, and the supporting numbers — cited.
Work-order autofill
Given a source tank, propose a bottling work order: SKU, target bottles, lot/date codes, and notes — pulled from the recipe.
Plain-English ledger Q&A
Ask “why is barrel B-0136 short 2 gallons this period?” The co-pilot answers from the audit log with the source transactions linked.
Useful — and boring in the right ways.
We don't ship AI features unless we can answer three questions about each one: where does the data come from, who's accountable, and what does the audit trail say.
We use OpenAI, Anthropic, and Gemini through their zero-retention APIs. Your data is not used to train any model, ours or theirs.
Every draft tells you the source rows it considered and the model that produced it. Drafts are drafts — nothing is committed until a human approves.
Each prompt is recorded with the actor, the prompt, the model, the token spend, and the resulting action. Compliance officers can review like any other operation.
Pick the model. Or let the workspace pick for you.
Each assist exposes a model picker (OpenAI, Anthropic, Gemini) and remembers your last choice per workflow. Owners can set a tenant default and a daily budget — and every result shows you which model produced it.