The product
AI workflows built for foodtech, briefed from your dataroom and tied to your milestones. This is what is inside.
Ask a generic model about your scale-up and it starts from zero. ScaleOS starts from five layers of context, assembled before the first word is generated.
Every workflow starts from this stack
Your documents are read in full and organised into structured knowledge. You never re-explain your company.
TRL ladders, regulatory pathways, FOAK economics: the vocabulary and failure modes are built in, not prompted in.
Operators validate the outputs that matter before they steer a decision. The layer no model can fake.
Upload what you already have. ScaleOS distils it into nine buckets of structured knowledge, tracks what is missing for your next gate, and cites every fact back to its source document.
The playbook runs as guided workflows: Customer Relevancy, Roadmap Rigor, Stakeholder & Funding. Each step is an agent briefed from your stack, and each result lands against the gate condition it proves.
ScaleOS is tied to your ScaleMap: every workflow result updates the readiness lanes, so the map your board reads and the work your team does stay one and the same.
Agents may state only what the evidence supports. Every number carries its source.
The best model for each task. When models improve, ScaleOS improves overnight.
What steers a decision is checked by people who have scaled foodtech companies.