Qualified

Qualified is the agentic marketing platform built around Piper, the AI SDR Agent that engages inbound buyers on the website and converts them into pipeline through autonomous video, voice and text conversations, real-time meeting booking and AI-generated follow-up email. Founded by former Salesforce executives Kraig Swensrud and Sean Whiteley, Qualified was acquired by Salesforce under a definitive agreement announced in December 2025, and Salesforce completed the acquisition on 1 April 2026. The product continues to be sold and supported under the Qualified brand. Integration depth is the platform's strongest technical claim and it is well evidenced. The pricing page states that every plan includes integrations with Salesforce CRM and 20+ go-to-market systems, and the vendor publishes dedicated integration pages for 6sense, Demandbase, Oracle Eloqua, Gong, HubSpot, Adobe Marketo Engage, Marketing Cloud Account Engagement, Outreach, Salesloft, Slack and Salesforce CRM. Salesforce remains the deepest native surface, and Agentforce Marketing, Agentforce Sales and Data 360 are all named connections. A documented Enterprise API adds warehouse and CDP delivery to Snowflake, Databricks, BigQuery, Adobe AEP and Eloqua, authenticated with scoped bearer tokens, and it is bidirectional rather than read-only: the vendor states that it also accepts writes back to Qualified for leads and companies. The Enterprise tier on the pricing page also lists MCP and API access, and a July 2026 Qualified article announced an MCP client and server so Piper can share context with other Agentforce agents, targeted for Q3 2026 under the vendor's roadmap disclaimer. As of October 2026 Qualified publishes no MCP documentation, endpoint or connection guide, and its Summer '26 release notes do not mention MCP, so this listing does not yet score it as MCP-compatible. Pricing is quote-only across three published tiers and no rate appears anywhere on the pricing page. Premier covers a multi-modal agent across text, voice and video, agentic website and email conversations, meeting booking and multi-language support, with 250K monthly web sessions and 2.5K monthly active email contacts. Enterprise adds agent handoff, MCP and API access and Salesforce sandbox support, and raises capacity to 2M web sessions and 10K active email contacts. Ultimate adds multiple agent profiles, high-volume contact databases and a dedicated IP address, with 5M web sessions and 24K active email contacts. Every plan includes the AI SDR Agent Studio, account segmentation with waterfall enrichment, and conversation, email and meeting routing. Every tier routes to a demo request, so a buyer cannot self-serve, see a rate before speaking to sales, or start a free trial. Three neighbours answer different questions. Chili Piper publishes its tier rates and centres on inbound routing, scheduling and form-to-meeting automation rather than an autonomous SDR agent. Warmly leads with website visitor de-anonymization and autonomous outbound, which suits a team whose gap is identifying anonymous traffic rather than conversing with it. Intercom Fin resolves inbound support conversations rather than generating pipeline, which fits when the inbound volume is questions rather than buying intent. Qualified lists Agentforce Marketing and Agentforce Sales among its connections, so teams standardizing on Salesforce Agentforce should check where the two overlap before buying both. Current state Q4 2026: Salesforce completed its acquisition of Qualified on 1 April 2026, and the vendor's site now carries a Salesforce copyright. The vendor states that Piper has been hired by over 500 companies. Generative AI is delivered through OpenAI, Azure OpenAI, Amazon Bedrock (Anthropic) and Google Cloud AI, all named on the vendor's own subprocessor register alongside Tavus for generative avatars, so the platform runs third-party models rather than its own. The trust center lists SOC 2 Type II, GDPR and CCPA, with a 2025 SOC 2 report and two 2025 penetration test reports listed as resources. Third-party enrichment partners such as Clearbit may use personal data to improve their own scoring models under the data processing addendum, which is a separate question from model training: the privacy policy states that customer information is not used to develop, improve or train generalized AI or ML models.