Challenge
The business problem the system needed to solve.
Prospecting is slow when research, deduplication, qualification and outreach preparation are manual.
AI SystemB2B Lead Intelligence
LeadScope AI
Evidence-first lead discovery and qualification for B2B teams.
LeadScope AI discovers prospects, stores provider evidence, normalizes facts, scores fit, and prepares assistive analysis and outreach drafts inside isolated workspaces.
- Built around real operations
- Product plus backend plus integrations
- Delivered as a maintainable system
Built by HexaTerminalStrategy & ArchitectureProduct EngineeringBackend & Integrations
Project type
AI System
Category
B2B Lead Intelligence
Delivery approach
Custom software system delivery
Problem to Solution
How the system was shaped around the operational problem.
One connected story, from the business context to the engineered response.
The strongest systems are not just interfaces. They connect workflow, data, roles, and technical architecture into one maintainable product.
Solution
How the system addresses the operational need.
A structured research pipeline captures evidence, normalizes facts, scores fit and then uses AI for bounded analysis.
Overview
A lead-intelligence workflow where provider results are normalized before AI reasons over them, keeping research grounded in stored evidence rather than generated assumptions.
Business Value
What the system is designed to make easier or more effective.
- Repeatable evidence-backed prospecting
- Better account prioritization
- AI reasoning tied to collected facts
Target Audience
Who the system is designed for.
- B2B agencies, software companies, sales and business-development teams.
Capabilities
Key capabilities supported by the system.
The system capabilities are organized to scan quickly without losing technical substance.
- 01
Multi-query discovery
- 02
Evidence capture
- 03
Fact normalization and deduplication
- 04
Deterministic and AI-assisted scoring
- 05
Workspace isolation
- 06
Outreach drafts
- 07
Provider controls
Why this reflects HexaTerminal
This is the kind of software system HexaTerminal is built to deliver.
This project reflects an engineering-led approach: we study the operation, define the system architecture, connect product and backend concerns, and ship software that remains maintainable after launch.
- We start with the real operation, decision flow, and handoffs behind the software.
- We define the architecture around users, permissions, data movement, and system dependencies.
- We build product experience, backend logic, data structure, and integrations as one connected system.
- We aim for maintainable delivery so the system can keep evolving without being rebuilt from scratch.
Technology considerations
FastAPIReactPostgreSQLSQLAlchemyAlembicDockerOpenAIOllama
Need a system built around your operation?
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Share the workflows, teams, data, and operational problems you need to connect or improve, and we'll help shape the right system.