Bavlio
The AI SDR that researches every lead before it writes.
Bavlio is an AI sales outreach platform that researches every lead before writing. It runs personalized cold email and LinkedIn campaigns end to end: lead discovery from a built-in lead database, email finding and verification, per-lead personalization, A/B testing on both channels, sending with sender rotation, and reply handling in one unified inbox for email, LinkedIn, and X replies.
Plans start at $49 per month including one LinkedIn account, with higher tiers adding more LinkedIn accounts and credits. One subscription covers what teams usually buy Instantly and HeyReach for together, in a single platform, at a fraction of the combined cost.
Under the hood Bavlio is agent-native: per-agent sending identities, a full API, and an MCP server so AI agents can run outreach directly.
Features
- AI lead research before every message: Bavlio studies each lead’s company, role, and signals before writing a single line
- Personalized cold email and LinkedIn steps in the same campaign, with reply-aware sequencing
- Built-in lead discovery, enrichment, email finding, and verification
- A/B testing and AI variants on both channels
- One unified inbox for email, LinkedIn, and X replies
- Agent-native: per-agent sending identities, full API, MCP server
Use Cases
- Founders doing their own outbound who want research-grade personalization without hiring an SDR
- Sales teams replacing an Instantly + HeyReach stack with one subscription
- Agencies running multichannel campaigns for clients
- AI builders wiring outreach into agents via the API and MCP server
Comments
Hey Fazier! I'm Adam, co-founder of Bavlio. We built it after doing our own cold outreach and realizing the tooling splits you in two: email sequencers on one side, LinkedIn tools on the other, and none of them actually research the person they are writing to. Bavlio researches every lead first, then runs email and LinkedIn in one campaign. Happy to answer anything about the AI research pipeline, deliverability, or the MCP server for agent-driven outreach.
The “research before it writes” angle is what really caught my attention here. Combining email + LinkedIn in one campaign makes a lot of sense, but the lead research layer seems like the bigger differentiator. Personalization is only useful when it’s actually relevant. Curious how Bavlio handles leads where there isn’t much public information available.
Bundling lead research, verification, and sending with sender rotation in one product solves a real operational pain; stitching separate tools usually breaks attribution between the research and the send. Per-lead personalization driven by pre-send research is the right focus since generic sequences are where most cold outreach dies. Would be useful to see how reply classification handles multi-thread conversations.
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Comments
Hey Fazier! I'm Adam, co-founder of Bavlio. We built it after doing our own cold outreach and realizing the tooling splits you in two: email sequencers on one side, LinkedIn tools on the other, and none of them actually research the person they are writing to. Bavlio researches every lead first, then runs email and LinkedIn in one campaign. Happy to answer anything about the AI research pipeline, deliverability, or the MCP server for agent-driven outreach.
The “research before it writes” angle is what really caught my attention here. Combining email + LinkedIn in one campaign makes a lot of sense, but the lead research layer seems like the bigger differentiator. Personalization is only useful when it’s actually relevant. Curious how Bavlio handles leads where there isn’t much public information available.
Bundling lead research, verification, and sending with sender rotation in one product solves a real operational pain; stitching separate tools usually breaks attribution between the research and the send. Per-lead personalization driven by pre-send research is the right focus since generic sequences are where most cold outreach dies. Would be useful to see how reply classification handles multi-thread conversations.
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