TypeSafe Jev · qualify before you dial

AI lead scoring — rank every inbound lead hot to cold before it hits a rep

Paste a lead — a message, a company line, a form fill — and Jev returns a strength tier, a sales-qualified yes/no, and a segment, each with calibrated confidence, so reps spend their time on the leads that convert.

Score a leadSee a real score

Run lead scoring now

This tool is pre-configured for lead scoring. Paste your text and Jev returns the typed decision below — the same call the showcase example was captured from.

0 chars
Your typed decision appears hereCategory · yes/no · score, each with confidence
Typed decision + calibrated confidence — nothing to parse, nothing to hallucinate.

A real lead scoring decision

Captured live from this exact tool — the text that was pasted, the typed decision Jev returned, and the measured latency and cost. Nothing here is mocked up.

Lead scoring185 ms

Hi, I run infrastructure for a 4,000-person fintech. We are evaluating vendors this quarter to replace our in-house classifier and have budget approved. Can we get a call with your team and enterprise pricing?

QualityHot · 1.9390%
Is QualifiedYes · 85%
SegmentEnterprise98%
Enterprise99%
Smb1%
Startup0%
Individual0%
typesafe/jev-1.13-20260917$0.000020

How lead scoring works

01

Paste the lead details

The inbound message, company blurb, or form notes. Jev reads whatever context you have — no CRM field mapping and no enrichment step required to start.

02

Jev scores quality, fit, and segment

One pass returns a strength tier (cold / warm / hot), a sales-qualified yes/no, and the segment (enterprise / smb / startup / individual) — the three things a rep needs before they decide to engage.

03

Prioritize the pipeline by confidence

Sort by the hot-lead probability, auto-route qualified enterprise leads to AE ownership, and let low-confidence ones nurture — the calibrated numbers make the routing rule obvious.

Lead scoring — frequently asked

How is this better than a points-based lead score?

Points-based scoring rewards whoever fills the most form fields, not whoever is actually ready to buy. Jev reads the intent in the lead’s own words — "budget approved, evaluating vendors this quarter" scores hot regardless of how tidy the form was — and tells you how sure it is.

What makes a lead "sales-qualified" here?

The qualified question returns a probability that the lead is worth a rep’s time given its stated intent, fit, and urgency. You set the cutoff for routing to sales; Jev supplies the calibrated signal rather than a rigid rule.

Can I adapt the segments to my go-to-market?

Yes. Enterprise, SMB, startup, and individual are typed criteria you can redefine — split by region, ARR band, or industry instead. The scoring model does not need to be retrained to follow your segmentation.

Does it invent details the lead never mentioned?

No. Jev returns a tier, a boolean, and a segment constrained to your criteria — it does not draft a fictional company profile. If the lead is vague, confidence drops and you see that, rather than a confident guess.

How quickly does it score?

The lead-scoring sample on this page returned in 185 ms. Fast enough to score a lead the instant a form is submitted and route it before the tab closes.

Send reps the leads worth their time

Paste one real inbound lead and see the strength tier, the qualified flag, and the segment Jev assigns — with confidence attached.

Score a lead

Other Jev use cases

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Or start from the full use-case index or the generic Jev decision tool.