Challenge: Too Much Research, Bad Data, Not Enough Selling

Apploi’s sales cycle moves fast. Their reps needed to focus on “call, demo, close”—but most of their time was spent on finding and researching the right prospects. Even when they found them, the contact data was often wrong.

The problem was two fold:

1. Missing Down-Market TAM – Prospecting took so much effort that smaller accounts weren’t worth pursuing, even though they fit Apploi’s broader market.‍

2. Up-Market Inefficiency – Large accounts still required extensive research, and missing key personas made outreach less effective.

Manually searching LinkedIn and data providers, verifying emails and phone numbers, and enriching account details was costing reps hours every day—cutting into actual selling time.

Solution: Automating prospecting with Seam's AI agents

Apploi turned to Seam AI’s Prospector to eliminate manual research and populate each rep’s book of business with high-quality, enriched contacts.

We found 3,000-4,000 new contacts we didn’t have before, plus Seam enriched the ones we did have with the right mobile and email data.

Unlike siloed data providers that claim to have the best contacts, Seam AI taps into multiple sources at once, applying an out-of-the-box waterfall approach to surface the most accurate, up-to-date information—so Apploi doesn’t have to guess which provider to trust.

Impact: Over 330 hours of manual prospecting saved, giving sales 40 full workdays back to focus on selling.

1. Over 330 hours of manual research saved, giving the team back more than 40 full workdays to focus on selling.

2. Prospecting time per account is reduced from 5+ minutes to zero, scaling across over 800 accounts

3. Both upmarket and downmarket opportunities are fully unlocked, maximizing total addressable market (TAM).

Reps used to spend 10+ minutes per account just finding the right people. Now, it’s done for them—allowing them to focus that time on more meaningful outreach and higher-quality engagement.

Seam AI didn’t just save Apploi time—it changed how they approach pipeline generation, giving them more coverage, more accuracy, and more time for actual selling.