Sprouts Data Intelligence (MCP)

"From 0→1: Architecting an enterprise-grade AI platform that transforms how 10,000+ businesses discover and qualify B2B prospects through natural language search across 350M+ contacts and 35M+ companies."

Project Vision

We built an AI-first data intelligence platform that replaces complex boolean queries with simple conversations. The goal: make enterprise-grade B2B prospecting accessible to everyone, not just data scientists and power users.

The Problem

Sales teams burn 15-20 hours a week fighting with clunky database interfaces and learning query syntax nobody should have to memorize. A typical search looks like this nightmare:

(CTO OR "Chief Technology Officer") AND (AI OR "machine learning") NOT consultant

Add in 5-7 different tools (ZoomInfo, LinkedIn Sales Nav, Clearbit, 6sense, Apollo), $50K-$150K in annual spend, and 40-60% of searches still returning garbage results—and you understand why prospecting feels broken.

What We Built

The core shift: natural language in, qualified prospects out.

Instead of that boolean mess above, users just type: "Find VP of Sales at mid-size SaaS companies in California growing their teams"

Under the hood, we're running semantic search across 350M+ contacts and 35M+ companies with sub-2-second response times. The system handles intent extraction, suggests query refinements, and automatically expands searches when results are thin (loosening date ranges, adjusting employee thresholds, etc.).

The Intelligence Layer

Beyond search, we layered in three AI-driven modules:

ICP Analysis builds ideal customer profiles from your data and scores prospects against them with 85%+ accuracy across firmographic, technographic, and behavioral dimensions.

Decision Maker Detection identifies who actually makes buying decisions based on sale type (enterprise vs. SMB), industry patterns, and org structure.

Career Path Intelligence tracks career trajectories and predicts job change likelihood—useful for timing outreach.

Platform Integration

We built this as a universal connector using Model Context Protocol (MCP), so it plugs into Claude, OpenAI, and Salesforce AgentForce. Sales teams can run natural language searches from whatever AI tool they're already using and push prospects directly into their CRM.

Results

Users save 15-20 hours weekly and replace multiple point solutions with one tool. More importantly, we're the first B2B database combining this scale (350M contacts) with genuine semantic search—not just keyword matching dressed up as AI.