Piper the AI SDR (Qualified)

Piper is an AI SDR that chats with website visitors, qualifies leads, and books meetings to boost sales conversions.

Specialization:
Conversational AI, Lead Qualification, Pipeline Automation, Meeting Scheduling, Email Automation, Workflow Automation, Sales Engagement

Company Type:
Startup

Total Financing Amount:
$163M

Founded Date:
Aug 18, 2018

Description

Piper is an AI-powered SDR agent that engages website visitors through live chat, voice, or video. It qualifies leads in real time using conversational AI that pulls from your CRM and internal knowledge to deliver relevant, on-brand responses. Piper can follow up with automated emails, schedule meetings using calendar tools, and tailor offers based on visitor behavior and Salesforce data. Revenue teams set it up with a simple JavaScript embed and webhook triggers, activating lead scoring and routing. The AI handles objections, lead qualification, and passes high-intent prospects to human reps—complete with full conversation history and detailed insights.

Customers

Asana, Quantum Metric, Bloomreach, NextGen Healthcare, Crunchbase

What Problem Does Piper the AI SDR (Qualified) Solve?

Website visitors frequently leave unengaged when sales teams can’t respond instantly or consistently across all inbound leads. This leads to missed revenue and lower marketing ROI. Piper automates immediate chat responses, personalized email follow-ups, and seamless calendar booking to convert more website traffic into qualified SDR-ready pipeline.

Pros

• Outbound SDR Automation:
  Piper-the-AI-SDR uses generative AI to draft personalized outreach messages and qualify leads at scale, streamlining sales engagement.
• Consistent Cadence and Sequencing:
  Automates follow-up sequences and multi-touch workflows, reducing human error and enhancing pipeline velocity.
• CRM and Email Integration:
  Connects with Salesforce and ESPs to sync activity, update lead status, and maintain conversation context automatically.

Cons

• Personality and Tone Limitations:
  Automated messaging may struggle to capture nuanced brand voice or adapt to complex prospect personas.
• Overqualification Risk:
  Heavy reliance on AI screening may misclassify leads or prematurely drop prospects requiring nuanced follow-up.
• Data Privacy Monitoring Required:
  Managing personal data across outreach workflows requires careful compliance, consent, and monitoring to avoid risks.

Investors

Norwest Venture Partners, RedPoint, Salesforce Ventures, Sapphire Ventures, Tiger Global Management

Last updated: July 27, 2026