GRADE reads an inbound technical inquiry, screens your full catalogue against its hard constraints, ranks what survives, and drafts the reply. Your rep reviews, edits, and sends.
Request a demoHow it worksHard limits are enforced as database filters, not model guesses. The AI only ranks what survives, and everything it asserts carries a receipt.
Regulatory ceilings, particle-size limits, chemistries — applied as filters. Every elimination returns a one-line reason your chemist can check.
Every extracted number traces to the exact sentence on the technical data sheet it came from. If a value has no source line, it is never stored.
Missing data on a constrained field routes the product to a rep, never silently through the screen. Guessing is a failure mode we test against.
Every approved reply is logged against what was actually sold — so recommendations sharpen on your catalogue, and only yours.
Extracts the stated requirements from the inquiry — never assumed ones.
Searches your portfolio, data sheets and application notes.
Applies spec and regulatory limits deterministically, with reasons.
Orders surviving grades with confidence and technical rationale.
Writes the reply and sample request. Your rep reviews, edits, approves.
Human approval is the product, not a limitation. Your team keeps the relationship, the voice, and the send button — GRADE removes the unpaid research in front of every quote.
Written into the agreement, not promised in a slide.
// We score the fifty and report the accuracy number either way — including if it's bad.
Fifteen minutes. We load your published products before the call and run three of your typical inquiries live. No self-serve sandbox, no forms — a working session with a person.