If you’re building an agent product, one shared model doesn’t work — your customers’ businesses are different, and their data must never mix.
Your reconciliation agent serves fifty customers with fifty different charts of accounts, fifty vocabularies, fifty sets of rules. Stuff them into one model and you get cross-contamination; strip context out entirely and your agent is guessing again.
BrainBox provisions an isolated brain per tenant. At query time your agent tells the SDK which customer’s brain to ground against — the boundary is hard-enforced by the platform, and every customer still gets a real structural model of their own business, not a filtered slice of someone else’s.
A fintech company building a financial reconciliation agent provisions an isolated brain for each of their customers; their agent selects the tenant at runtime through the SDK.
Grounded answers, not guesses — from a living model of your business.