Jeeva

Autonomous AI agents for research, personalization, and multi-channel outbound

Jeeva is a Santa Monica-based AI-native outbound sales platform that deploys autonomous agents to handle the full pre-outreach sales workflow: researching target accounts, building personalized messaging from that research, and executing multi-channel outreach campaigns across email, LinkedIn, and other channels. It targets SMBs and mid-market companies with outbound sales motions that require significant research and personalization at scale — specifically the companies that want the output quality of a well-researched outbound program without the headcount cost of manual research and copywriting. Detailed public documentation is more limited than larger entrants in this space.

Compliance

GDPR SOC 2

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Key Features

Account research agents: Autonomous agents that research prospect companies and contacts across available data sources, building the context needed for personalized outreach without manual research per account.
Personalized messaging generation: Uses research outputs to generate outreach that references specific prospect context — company news, role signals, pain point indicators — rather than templated copy.
Multi-channel execution: Runs campaigns across email, LinkedIn, and potentially other channels from a single platform.
Multi-model AI foundation: Built on multiple AI models for research and content generation.
CRM integration: Connects to existing sales systems to log outreach activity and manage sequences.

Use Cases

For teams that need research-backed outbound at scale: A sales team that knows high-quality personalized outreach converts better, but can’t afford the manual research hours, uses Jeeva agents to produce that quality at volume.
For multi-channel outbound campaigns: A GTM team runs coordinated email and LinkedIn sequences from a single platform, with each message personalized from the agent’s research on that account.