Never leave qualified demand waiting.
Nebtrix builds AI systems that qualify every inbound lead the moment it arrives, score it against real intent signals, and route it to the right rep — automatically, with human review on anything ambiguous.
Capture → understand → decide → act.
Capture
Web form, ad lead, inbound call, or chat — normalized into one record
Understand
Intent, budget signal, urgency, and fit extracted and scored
Decide
High-confidence leads route straight to a rep; ambiguous ones flag for review
Act
CRM updated, rep notified, follow-up sequence enrolled — in seconds, not hours
Manual triage is a tax on every lead you generate.
Response time is the whole game — and you're losing it
Leads left in a queue for even 30 minutes convert at a fraction of the rate of leads contacted in the first five. Manual triage means your fastest response is limited by whoever's free, not by what the lead deserves.
Every lead gets the same treatment
A $50k opportunity and a tire-kicker land in the same inbox and wait for the same person to sort them. Without scoring, your best reps spend their time reading, not selling.
Routing rules live in someone's head
Who gets the enterprise lead versus the SMB one, which rep covers which territory, what happens when two people are equally free — the logic exists, it's just not written down anywhere a system can run it.
Escalation is a feature, not a fallback.
High-confidence leads route straight through. Everything else — an ambiguous submission, a lead that doesn't cleanly fit your scoring rules, a high-value account that deserves a second look — gets flagged for a human, not auto-decided.
Every scoring decision is logged with its reasoning, so your team can audit why a lead was routed the way it was and correct the system when it's wrong. See the same architecture pattern applied elsewhere in our case studies.
Wherever the lead comes from, the same system handles it.
No CRM migration required.
We connect to the CRM and tools you already use rather than asking you to switch. If your stack isn't listed, tell us — we build to APIs and webhooks, not just pre-built connectors.
Questions we get before every lead-qualification build.
Rule-based scoring only handles conditions you thought to write down in advance. An AI layer reads the actual content of a submission — the message, the context, the source — and judges intent the way a good rep would, then still runs through your explicit rules where you want hard guardrails.