ShippedSales AISales DevelopmentB2B SaaSOutbound
// product

PipelineIQ

An AI SDR platform that scores every lead for fit, runs multichannel sequences across email, LinkedIn and call, drafts the replies, and books the meeting.

Client:B2B SaaS sales org (NDA)
Duration8 weeks
ScopeMVP product design and front-end build of the Outbound board and single-lead detail experience, backed by a lead fit-scoring model and a multichannel sequencing engine.
Team1 product designer, 2 senior front-end engineers, and a fractional PM

// The Outbound board — reply-rate and pipeline KPIs, the Sent → Opened → Replied → Booked funnel, and leads ranked by AI fit score.

2,140Leads in sequence
11.4%Reply rate
38Meetings booked
$412KPipeline generated
01

Overview

PipelineIQ gives outbound sales teams one engine that turns a cold list into booked meetings. It grades every lead 0–100 for fit using ICP, intent, seniority and tech-stack signals, runs timed multichannel sequences across email, LinkedIn and call, and drafts the next-touch reply that moves the deal forward — auto-pausing the sequence the moment a lead responds. BuildspaceLabs designed and built the MVP front end — an Outbound board for the team's funnel and a per-lead detail view for the SDR working the deal — turning a fit-scoring model and a sequencing engine into a workflow an SDR can run all day.

02

Highlights

  • Scores every lead 0–100 for fit before a single send goes out
  • Runs email, LinkedIn and call as one sequence that pauses the instant a lead replies
  • Drafts the next-touch reply that books the meeting — with a confidence score, not false certainty
  • One outbound view of funnel, sequences and reply sentiment for the whole SDR team
03

Gallery

04

Outcomes

  • Delivered a production-quality MVP of the Outbound board and lead detail view in an 8-week engagement
  • Consolidated fit scoring, multichannel sequencing and reply drafting into a single SDR workflow
  • Gave sales leadership a real-time view of the outbound funnel, reply rate and pipeline generated across the team
  • Established a reusable design system (fit-score bars, status pills, sequence-step dots, compose cards) for the product's next surfaces
05

Tech Stack

Chosen per constraint, not per habit — the stack shifts with the problem.

AI & ML
Python · scikit-learn fit model
Frontend & Mobile
Next.jsReactTypeScriptTailwind CSS
Data & Infrastructure
PostgreSQL
Backend & APIs
FastAPI
06

Features

  • Outbound board with live reply-rate, meetings-booked and pipeline KPIs above a Sent → Opened → Replied → Booked funnel
  • 0–100 AI fit score per lead across ICP, intent, seniority and tech-stack signals
  • Multichannel sequences weaving email, LinkedIn and call into one timed, auto-pausing flow
  • AI-drafted next-touch replies grounded in the thread and the lead's signals, with a confidence score
  • Reply-sentiment classification that routes positive replies to the SDR inbox and pauses the sequence
  • Lead detail with a weighted fit-score breakdown, sequence timeline, engagement signals and the mapped buying committee
// live landing page

See PipelineIQ as its own site.

Beyond the build, we designed and shipped PipelineIQ a standalone landing page — its own look, copy and motion. Here's a live preview; scroll inside it, or open it full-screen.

// more from the lab

A team that ships across the board.

36products in production
8industries served
68+technologies in play

// next

Building something in this space?

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