Score
Every lead is graded 0–100 for fit the moment it lands, using ICP, intent, seniority and tech-stack signals — worst-first triage, gone.
Sequences running now
Turn cold lists into booked meetings — on autopilot
PipelineIQ scores every lead for fit, runs multichannel sequences across email, LinkedIn and call, drafts the replies, and books the meeting straight onto your reps' calendars.
- 2,140 leads in sequence
- Multichannel by default
- Replies drafted for you
Reply rate
11.4%
+1.8 pts
Email · intro
LinkedIn · connect
Call · discovery
Meeting · booked
Sent
Opened
Replied
Booked
0
Leads in sequence
0%
Reply rate
+1.8 pts
0
Meetings booked
last 30 days
$0K
Pipeline generated
from outbound
Why fit beats volume
Some leads are worth ten of the others. Score them first.
PipelineIQ grades every lead 0–100 the moment it lands — so your reps spend their sends on the accounts most likely to buy, not the loudest list.
ICP fit
High
Industry, headcount and revenue matched against the profile of accounts that actually close.
Intent signals
High
Pricing-page visits, content engagement and hiring signals that say a team is in-market now.
Seniority
Medium
Title and buying power — is this the decision maker who owns the budget, or a gatekeeper?
Tech-stack match
Low
Detected tools that signal a clean integration path and a low cost to switch.
One lead, fully scored
Every fit score decomposes into the signals that produced it — with weights, not gut feel. Here's how one strong-fit lead breaks down.
92
/ 100
- ICP fit 37%
- Intent signals 30%
- Seniority 21%
- Tech-stack match 12%
Score → sequence → book
From a raw list to a full calendar — without the busywork.
PipelineIQ closes the loop from cold contact to booked meeting, so your reps do the talking and the engine does the chasing.
Sequence
Multichannel sequences fire across email, LinkedIn and call — timed, personalized, and paused the instant someone replies.
Book
The model drafts the reply that moves the deal forward and books the meeting straight onto your rep's calendar — with a confidence score attached.
Inside the product
The outbound board and the lead file, side by side.
BuildspaceLabs built the MVP front end: an Outbound board for the whole team's funnel and a per-lead detail view for the SDR working the deal.
Outbound board
Every rep's outbound in one funnel.
Live reply-rate, meetings-booked and pipeline KPIs sit above the Sent → Opened → Replied → Booked funnel and a lead table ranked by AI fit.
- Outbound funnel with live stage-to-stage conversion
- Leads ranked by 0–100 AI fit score
- Top sequences by reply rate and reply-sentiment split
Lead detail
Every lead, scored and sequenced.
A 92/100 fit ring, a weighted fit-score breakdown, a multichannel sequence timeline and an AI-drafted next touch — all on one file.
- Fit-score breakdown across ICP, intent, seniority and stack
- Email, LinkedIn and call steps with sent/opened/replied states
- An AI-drafted next-touch email at 91% confidence
What's in the box
Built for the outbound motion, end to end.
Fit scoring, multichannel sequencing and AI reply drafting consolidated into one SDR surface — nothing stuck in a spreadsheet or a second tool.
Outbound funnel board
Sent → Opened → Replied → Booked with live stage-to-stage conversion above the team's KPIs.
AI fit scoring
A 0–100 fit score per lead across ICP, intent, seniority and tech-stack signals — refreshed as new signals land.
Multichannel sequences
Email, LinkedIn and call woven into one timed flow, personalized per lead and auto-paused on reply.
AI reply drafting
The next touch written for you — grounded in the thread and the lead's signals, with a confidence score.
Reply-sentiment routing
Positive replies are classified, routed straight to the SDR inbox and the sequence pauses automatically.
Lead detail file
Fit breakdown, engagement signals, sequence timeline and the mapped buying committee on one screen.
Not spray-and-pray
Every send earns its place.
Blasting a list burns your domain and your reps. PipelineIQ scores fit before it sends, sequences only the leads worth the touch, and shows the weighted reason behind every score.
- Every fit score decomposes into named, weighted drivers.
- AI-drafted replies ship with a confidence score, not false certainty.
- Deliverability guarded by send quotas and reply-based auto-pause.
AI fit score · lead #L-4471
92
ICP fit
37%
Intent signals
30%
Seniority
21%
Tech-stack match
12%
Under the hood
Modern data stack, production-grade front end.
Delivered as a production-quality MVP in an eight-week engagement.
Next.js
React
TypeScript
Tailwind CSS
FastAPI
PostgreSQL
Redis · Celery
Python · scikit-learn
Fill your reps' calendars — on your data.
We build AI-native products like PipelineIQ. Tell us about your outbound motion and we'll show you what a fit-scored, self-sequencing engine looks like on your leads.