lapersona.ai provides an AI-powered go-to-market execution platform built on role-based agents that autonomously run the full revenue workflow—from prospecting and outreach to qualification, follow-up, and expansion. The system sits on top of existing tools like HubSpot, Salesforce, and LinkedIn, learning continuously from each interaction to optimize messaging and routing. It charges per active role and outcome rather than per seat, positioning itself as an execution layer rather than a copilot or content-generation tool.
Funding
Funding not disclosed
Founders
Product
Problem
Go-to-market teams rely on fragmented tools that generate content or assist single tasks, yet the full revenue workflow—prospecting, outreach, qualification, follow-up, and expansion—still requires manual coordination across roles and systems. This leaves teams juggling copilots and point solutions while pipeline execution remains slow, inconsistent, and dependent on constant human intervention.
Solution
lapersona.ai provides an AI go-to-market execution layer composed of role-based agents—SDR, AE, AM, Sales Manager, and CRO—that operate as a coordinated team on top of a company's existing stack. These agents read and write directly into systems of record like HubSpot, Salesforce, LinkedIn, and Slack, executing the entire revenue flow end-to-end rather than suggesting actions for humans to perform. Every interaction feeds a closed learning loop, allowing the agents to autonomously update ideal customer profiles, messaging, sequences, and routing. Teams set limits per role—tone, daily caps, approval thresholds, and escalation rules—and can start in review mode before transitioning roles to full autonomy. The system reports back through a dashboard where changes are visible, reversible, and require no prompt engineering from the user.
Target Audience
Primary customers are B2B sales and revenue operations teams at mid-market and enterprise companies that want to scale pipeline generation, qualification, and account expansion without adding headcount or switching their existing CRM and sales stack.
Features
- Role-based autonomous agents (SDR, AE, AM, Sales Manager, CRO) that coordinate the full GTM flow end-to-end
- Closed-loop learning that automatically updates ICP, messaging, sequences, and routing based on replies, meetings, won/lost deals, and churn signals
- Direct integration with existing CRM, enrichment, inbox, and communication tools without requiring stack changes
- Granular control per role with tone limits, daily caps, approval thresholds, untouchable accounts, and escalation rules
- Full action logging and reversibility with a review-to-autonomy deployment model
- EU-hosted infrastructure, GDPR compliance, and isolated workspace context so client data is never used to train shared models