Score every inbound and outbound lead against your real ICP, route the qualified ones to reps, and quietly nurture the rest — no manual SDR triage.
Reps spend hours on discovery calls that never had a chance — because nothing pre-qualified the lead beyond a checkbox form.
A "request a demo" submission from a student looks identical to one from a director of revenue, until a rep gets on a call.
A great-fit account fills out the form with a personal email and gets dropped to nurture forever.
A 10-person agency and a 5,000-employee enterprise should never be scored on the same axis.
Round-robin to AEs, exception logic for named accounts, time-zone handoffs — it is duct tape on top of duct tape.
Each lead is enriched, researched, and scored with reasoning you can actually inspect.
Define multiple ICPs — Enterprise, Mid-market, Self-serve — each with its own filters and weights.
Every qualified lead lands with a one-paragraph "why" so reps walk into discovery already informed.
Owner lookup in CRM, round-robin with overrides, named-account claims, and timezone-aware handoffs.
Disqualified leads slot into a low-touch nurture sequence so you compound them over time.
We track which scores became closed-won and tune the model — no quarterly RevOps overhaul.
Write your ICP the way you would explain it to a smart new SDR. No formula builder, no hidden magic.
Every score comes with the evidence — the firmographic data, the role context, the public signals — so reps trust it.
Qualified leads go to reps. Unqualified ones go to nurture. Every form submit gets a path forward.
Run independent scoring models for SMB, Mid-market, and Enterprise side by side.
Auto-fill company size, industry, geography, tech stack, and funding status from the email or domain.
Detect when multiple humans from the same company submit forms within a window — and route as a group.
Personal-email signups get reverse-resolved against work-email graphs, so great-fit leads with @gmail.com still get caught.
Mix hard rules (must be US, must be 50+ employees) with model judgment (likely champion vs. likely procurement).
Every qualification decision is logged with reasoning, source data, and the model version — auditable for compliance.
No. Black Magic AI runs alongside your existing model and writes its score back to the lead record as a separate field, so you can A/B before flipping the switch.
We attempt reverse-resolution against work-email graphs. If we find the human at a real company, the lead is qualified on company fit. If not, it falls back to behavioral signals.
Yes. Every decision lands in the CRM with a paragraph of reasoning, the firmographic data used, and a confidence score.
They are dropped into your existing nurture (or a sequence we author), so no lead is ghosted. We re-score them automatically when their company changes.
