Xerion provides an AI‑driven autonomous sales operating system that automates prospecting, data enrichment, and outbound outreach, delivering qualified B2B leads directly to a sales team’s inbox. By replacing manual prospecting and reducing headcount‑linked costs, the platform lets teams focus on strategy and closing while the system handles transactional work. Deployments are completed in four weeks and are limited to five custom infrastructures per month to ensure a boutique, fully private implementation.
Funding
Funding not disclosed
Founders
Product
Problem
Sales teams often rely on manual prospecting, data enrichment, and outreach processes that are time‑intensive, error‑prone, and scale poorly with headcount. Gaps in follow‑up and inconsistent pipeline management lead to lost opportunities and revenue leakage.
Solution
Xerion delivers an autonomous B2B sales operating system that automates prospect identification, real‑time data enrichment, and outbound outreach. The platform continuously scans market signals, scores intent, and injects qualified leads directly into a CRM or inbox, while a human‑in‑the‑loop “Guardarriel” protocol requires final approval before any communication is sent. By offloading transactional work to AI‑driven engines and LLM‑based knowledge extraction, Xerion lets salespeople focus on strategy, negotiation, and closing. The system operates as a parallel, zero‑migration infrastructure layer, preserving data privacy and ensuring that all prospect data remains in a private silo.
Target Audience
Primary customers are B2B companies with sales organizations that need to scale lead generation without expanding headcount, including SaaS, enterprise technology, and professional services firms.
Features
- Synthetic prospecting engine that cross‑references multiple data matrices to identify high‑intent decision makers in real time
- Intent scoring model that ranks prospects based on purchase signals and feeds qualified leads into the user's CRM or email inbox
- Automated outbound outreach orchestration with LLM‑generated messaging, held for human approval via the Guardarriel protocol
- Continuous inbound knowledge extraction that converts technical content into pipeline‑nurturing assets
- Privacy‑first data silo and NDA‑protected handling of all prospect information, preventing external training use
- Plug‑and‑play deployment in four weeks, requiring no new software adoption or IT migration