CallJune - 2026 Pricing, Features, Reviews & Alternatives

CallJune is a cloud-based, voice-native AI assistant built for field sales reps and the sales leaders who manage them. After an in-person meeting, reps dial a dedicated phone number and speak a roughly 90-second recap. CallJune transcribes the call, extracts structured data including contact names, companies, opportunity values, dates, and next steps, then writes a formatted summary and follow-up tasks directly into the connected CRM within minutes. No app download, no CRM login, and no manual data entry are required on the rep side. Native integration with Salesforce is included; HubSpot, Microsoft Dynamics, and Pipedrive are supported via API connectors. Setup completes in 10 days or less, with most teams fully live within three weeks.

CallJune layers sales methodology enforcement into the capture workflow. Recaps are checked in real time against SPIN, MEDDIC, BANT, Challenger, or custom qualification frameworks. When required fields are missing, the system prompts reps to provide the information before the call ends, reinforcing coaching standards without adding new software or changing rep behavior. Qualification gaps are flagged for manager review, giving sales leaders visibility into deal health and pipeline accuracy without relying on rep-entered data. The platform is powered by large language models from OpenAI, Google, and Anthropic, layered with sales-specific training, CRM field awareness, and voice optimization tuned for post-meeting recap use cases.

CallJune targets field sales organizations across B2B industries, from SMB teams to enterprise deployments, with volume pricing available for teams of 75 or more and 150 or more reps. Data handling meets SOC 2 compliance standards: all data is encrypted in transit and at rest, CRM integrations use token-based revocable credentials, and raw audio is deleted immediately after transcription. By reducing CRM update time to approximately two minutes per meeting, CallJune returns an estimated five or more hours of selling time per rep per week while improving CRM data completeness and forecast accuracy across the pipeline.