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PROJECT/AI / Revenue Operations
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Zetafo

An AI revenue intelligence and outbound sales operating system that identifies high-fit B2B prospects, evaluates real-time buying signals, and generates contextual sales dossiers.

Zetafo AI Revenue Operating System console
01 / CONTEXT

Overview

An AI-powered revenue intelligence platform engineered by Hisako to discover target B2B accounts, score prospect fit against ideal customer profiles, and generate actionable sales dossiers equipped with verified contacts and real-time buying triggers.

02 / CHALLENGE

The Operational Problem

Traditional B2B outbound workflows rely on static, bloated contact databases filled with unverified emails, stale company records, and zero timing context. Sales development teams waste hours manually sifting through low-intent lead lists, degrading domain reputation through blind mass outreach while paying high per-seat subscription taxes for generic data.

03 / ARCHITECTURE

Engineering Approach

We engineered an asynchronous AI intelligence engine that qualifies target accounts before consuming third-party enrichment credits. The system scrapes real-time business signals (hiring milestones, leadership additions, and tech stack adoption) and uses semantic embeddings to match account characteristics with natural-language ICP models in under 15 seconds.

04 / DEPLOYMENT

The Solution Delivered

A comprehensive sales operating platform combining natural language ICP modeling, pre-enrichment scoring heuristics, waterfall contact verification, and contextual lead card generation — replacing generic spreadsheets with actionable intelligence dossiers.

SYSTEM PIPELINE

Conceptual Workflow Topology

01

ICP Definition

Define target customer criteria using natural language descriptions, competitor URLs, or firmographic parameters.

02

Account Discovery

Semantic search algorithms crawl and identify matching corporate entities across global company datasets.

03

Pre-Enrichment Scoring

Heuristic and embedding models compute match strength scores prior to spending external API enrichment credits.

04

Signal Detection

Monitors active trigger events including open job postings, executive moves, and web technology shifts.

05

Waterfall Contact Verification

Queries multi-source provider waterfalls with MX syntax validation to resolve verified decision-maker emails and direct dials.

06

Sales Dossier Delivery

Synthesizes company intelligence, pain points, and why-now context into ready-to-work sales cards.

05 / CAPABILITIES

Core System Capabilities

Natural language ICP modeling and semantic account discovery
Pre-enrichment qualification algorithms to eliminate wasted credit consumption
Multi-dimensional fit scoring (Company Fit, Contact Fit, Buying Signals, Data Confidence)
Real-time trigger event and hiring signal detection
Waterfall contact enrichment with multi-provider verification
Compounding entity knowledge graph to accelerate repeated domain lookups
Actionable lead dossier cards with plain-English outreach rationale
Direct CRM synchronization and structured data exports
06 / STACK

Technologies & Tools

TypeScriptNext.jsPythonFastAPIPostgreSQLRedisVector EmbeddingsLLM OrchestrationTech Stack Detection EnginesWaterfall Enrichment APIs
07 / SYSTEM INTERFACES

Architecture & Interface Gallery

How Zetafo Works — Automated AI Prospect Qualification Pipeline

How Zetafo Works — Automated AI Prospect Qualification Pipeline

AI Revenue Intelligence & Account Match Strength Console

AI Revenue Intelligence & Account Match Strength Console

Waitlist Onboarding & Evaluation Workspace

Waitlist Onboarding & Evaluation Workspace

CONTACT/GET IN TOUCH

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