The Sales Stack for Scalable Processes
Small companies can't afford a full sales department. But without data-driven processes, there's no way to stay on top of things. We build the software that makes it possible.
Small companies can't afford a full sales department. But without data-driven processes, there's no way to stay on top of things. We build the software that makes it possible.
Each tool solves a specific problem. Together, they form an end-to-end process from research to outreach to customer care.
Imports companies and contacts, enriches them automatically from 8+ sources, and syncs with your CRM. No more manual research.
Data enrichment is the starting point of every sales process. The Company Tool imports lists of companies and contacts — via CSV, URL, or AI agent — and enriches them automatically.
Stores internal documents in a vector/graph database and makes your entire knowledge base searchable through AI chat or API.
DocChat turns internal documents into searchable knowledge. Files are automatically chunked, embedded, and stored in a graph with similarity relationships.
Indexes email accounts (IMAP), extracts contacts and conversation threads, and makes all email knowledge fully searchable, attachments included.
MailChat indexes email accounts via IMAP and makes conversations, contacts, and attachments searchable. Every email is summarized and embedded into a knowledge graph.
Imports LinkedIn connections directly into your CRM with deduplication, label management, and a review workflow.
LinkBridge bridges the gap between LinkedIn and CRM. Connections are exported as CSV, uploaded, automatically matched against existing CRM contacts, and imported.
Connects all tools via the Model Context Protocol (MCP). A single AI agent accesses CRM, documents, emails, and data enrichment at the same time, within one conversation.
The API Browser is the orchestration layer. It implements the Model Context Protocol (MCP) and makes every connected software platform controllable by AI agents.
The architecture follows a clear principle: one AI agent as the central interface, the API Browser as mediator, and specialized services for each task.
The API Browser can be accessed in four ways:
The architecture is infinitely extensible with additional API integrations. Not shown but already implemented are Mistral and OpenAI. Planned integrations include Plane (project management), SevDesk (accounting), Rocket Chat, Apify, and Google (Gmail, Drive, Docs, Sheets).
The stack is more than the sum of its parts. The combination of an integrated data foundation and AI orchestration opens possibilities that aren't achievable with individual tools.
The entire sales process in one system: market research, data enrichment, outreach, and customer care, without media breaks.
Instead of rigid workflows, the stack adapts. AI agents navigate the software platforms contextually, responding intelligently to the task at hand.
Tools like n8n are strong at integration but weak at data processing. AI code tools like Claude Code are strong at logic but struggle with authentication and infrastructure. The API Browser combines both and enables complex, cross-platform workflows through natural language.
"Trigger a Company Tool deep dive for every company in the CRM. Create all found persons that have an email address. Give them the label 'Deep Dive'." Flows like these used to take developers days or weeks to build. Now users can create them in minutes.
Contact us for a personal walkthrough of our AI Sales Stack — we'll show you how it works in your setup.
Get in TouchOr contact us directly:
info@frankeundschwarz.de