Client Logo

Find the right buyer before your competitor does.

Sprouts.ai helps sales teams identify and qualify buyers faster using AI-powered intelligence. Pinnasys built the data enrichment and qualification engine that delivers 3x more qualified leads with 85% faster qualification.

3x

Qualified leads

85%

Faster qualification

The Problem

Sales teams qualify too slowly. Competitors get there first.

In B2B sales, speed to qualified lead is everything. The team that identifies the right buyer, understands their context, and reaches out with a relevant message first wins the deal. But most sales teams are still qualifying leads manually — researching companies, checking LinkedIn profiles, verifying job changes, and piecing together buyer intent signals from scattered sources.

Sprouts.ai set out to automate this entire process with AI — building deep buyer profiles that combine contact data, employment history, company intelligence, and intent signals into a single view that tells sales teams exactly who to call and why.

The challenge was building a system that could aggregate data from multiple sources, maintain accuracy across millions of contact records, and surface the right buyers at the right time.

Hours Spent per lead manually researching and qualifying prospects
Scattered Buyer signals spread across LinkedIn, news, job boards, and CRM data
Late Reps reaching buyers after competitors who move faster

Our Approach

Turn scattered signals into instant buyer intelligence.

Pinnasys worked with Sprouts.ai to build an AI-powered buyer intelligence pipeline that aggregates, enriches, and qualifies leads in real time. The system combines contact data, employment history, company signals, and behavioural intent into comprehensive buyer profiles that tell reps exactly who is ready to buy and why.

The key insight was that qualification is not just about data completeness — it is about timing and relevance. A lead who just changed jobs, whose company just raised funding, or who is actively researching your category is 10x more valuable than a lead with a complete profile but no active intent.

We built an AI qualification engine that weights recency, intent signals, and fit criteria to surface the highest-value buyers first.

AI Intent Detection Engine v2.8
Signal Capture
Behavior Analysis
Intent Scoring
Prioritization

Deep buyer profiles

AI-generated profiles combining contact details, employment history, company intelligence, tech stack, funding data, and recent activity into a single actionable view.

Real-time intent signals

The system monitors job changes, funding rounds, hiring patterns, technology adoption, and web activity to identify buyers with active purchase intent.

AI qualification scoring

Every lead is scored based on fit (ICP match), intent (buying signals), and timing (recency of activity) — so reps focus on the leads most likely to convert.

Automated outreach triggers

When a buyer hits qualification thresholds, the system triggers personalised outreach sequences automatically — reaching the buyer while intent is hot.

The product in action

Product in action

Finding the right buyer before the competition.

3x

More qualified leads surfaced through AI buyer intelligence

85%

Faster lead qualification — from hours to minutes

Real-time

Buyer intent monitoring across job changes, funding, and activity

Auto

Outreach triggered when buyer intent reaches qualification threshold

Quote
Pinnasys built a buyer intelligence engine that fundamentally changed how fast our customers can identify and reach qualified buyers. The 85% reduction in qualification time is a game-changer for sales teams.

VP of Product — Sprouts.ai — Buyer Intelligence Platform

Three things that made this project work.

Timing beats completeness

A buyer profile with 80% of the data but flagged at the right moment outperforms a perfect profile delivered a week late. We optimised for speed-to-signal, not data exhaustiveness.

Qualification is multi-dimensional.

Fit alone is not enough. The best qualification model combines ICP fit, intent signals, and timing into a composite score. Each dimension tells a different part of the story.

Automation must feel personal.

When outreach triggers automatically, it cannot feel automated. We integrated enrichment data directly into personalisation logic so automated emails reference real, recent buyer context.

What this looks like when it's working.

Three real outcomes from Agentic AI engagements. Numbers are real. Names are anonymised — our clients are growing businesses that prefer not to signal their AI advantage to competitors.
The AI engine that turns cold emails into revenue
Logo

The AI engine that turns cold emails into revenue

3x

Revenue growth

10x

Deals closed

Your digital workforce that never clocks out
Logo

Your digital workforce that never clocks out

168 hrs

Weekly capacity

4x

Human capacity

Have a similar challenge? Let’s talk.

Book a discovery call and we will discuss how AI can accelerate your lead qualification and buyer intelligence.