1Mind raises $30M Series A as Mindy takes on inbound sales, end to end
AI agents are moving from demos to deals. 1Mind just closed a $30 million Series A to scale its sales assistant, Mindy, bringing total funding to $40 million.
The company is built in collaboration with Amanda Callow, known for founding 6sense back in 2013 before stepping down as CEO in 2020. Unlike most "AI SDR" tools, Mindy doesn't spam cold email or dial lists. It focuses on inbound conversations and carries them through to close-then can switch hats to help with implementation.
What makes Mindy different
- Inbound-first: Mindy engages buyers who raise their hand-on your site or in a live call-and keeps the conversation moving until a contract is signed.
- Trained on your playbook: Each agent is trained on deep product knowledge, technical details, and competitive positioning.
- Grounded responses: 1Mind blends models from OpenAI and Google Gemini, then applies deterministic guardrails so the agent sticks to approved answers and admits when it doesn't know.
- Beyond pre-sales: After the deal, Mindy can act as an implementation expert to speed up onboarding and reduce handoffs.
Traction with enterprise buyers
Mindy has been in market for about a year and now supports more than 30 companies, including HubSpot, LinkedIn, and New Relic. According to the company, the full client portfolio runs on annual contracts with an average contract value in the six figures.
1Mind also uses its own bot on internal sales calls to keep teams on-message. Callow even built an avatar of herself-"Amanda"-and used it during investor presentations to answer questions and walk through the data room.
Funding and investors
The $30 million round was led by Battery Ventures, with participation from Primary Ventures, Wing Venture Capital, Operator Collective, Harmonic Growth Partners, and Success Venture Partners. Angels from Monday.com, ZoomInfo, Databricks, Box, Gong, Braze, and Verkada also joined the round.
How buyers interact with the "Amanda" avatar
During diligence, Battery Ventures used the avatar to interrogate case data. The avatar is still accessible via Amanda Callow's LinkedIn, where anyone can ask about 1Mind's products-or topics like women in tech-though it ultimately steers the conversation back to 1Mind.
What this means for sales teams
Callow is direct about the shift: the agent can replace your website experience, much of sales engineering, and parts of customer success on standard deals. The AE-to-buyer relationship still matters, especially on complex enterprise motions, but the surface area of AE work will shrink over time.
For sales leaders, this points to a practical split: let agents handle intent-driven discovery, qualification, demos, objection handling, and basic implementation. Keep humans focused on deal strategy, multi-threading, pricing levers, risk, and consensus building.
A simple playbook to pilot an inbound AI rep
- Map the inbound journey: form fills, chat, demo requests, self-serve trials, and Zoom handoffs.
- Centralize the source of truth: pricing, packaging, product docs, competitive notes, security responses, and case studies.
- Set guardrails: what the agent can say, what it must escalate, and how it logs every interaction.
- Integrate with your stack: CRM, calendar, CPQ, knowledge base, chat, and meeting platforms.
- Define success: response time, qualified meetings booked, stage progression, win rate, ACV, cycle time, and implementation speed.
- Train your team: how AEs and SEs collaborate with the agent, when to jump in, and how to review transcripts for coaching.
- Cover compliance: data retention, permissions, and approvals for any customer-facing AI.
Hiring and growth
1Mind reports 44 employees today and 71 open roles, including account managers. The company says agents are "superhuman" in the sense that they never get tired and never go off-script-without claiming comic book powers.
Bottom line for sales
If inbound demand is your bottleneck, an on-brand, on-script conversational agent can keep buyers moving without adding headcount. If enterprise deal strategy is your edge, keep AEs in the loop and let the agent compress everything around them-prep, discovery, demos, and implementation basics.
Want to skill up your team on practical AI for sales workflows? Explore curated resources by role here: Complete AI Training: Courses by Job.
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