eesel AI vs Pylon (2026)

eesel AI

by eesel AI

Pylon

by Pylon Labs

Pros

• ✓Agents work inside existing helpdesks including Zendesk, Freshdesk, Intercom, Gorgias, Help Scout and Salesforce, so support teams keep their current workflow.
• ✓A ticket or chat is 1 credit however long it runs, with no platform fee or seat charge, unlimited agents and seats, and a free trial of 100 credits with no card.
• ✓Every workspace is an MCP server for Claude, ChatGPT and Cursor, and eesel states that customer data is never used to train AI models.

Limitations

• –Plans are prepaid monthly credit batches starting at $299 for 500 credits, unused credits do not roll over, and agents pause when credits run out unless overage at $0.80 per credit is turned on.
• –SOC 2 Type II is still in its observation period, with the audit planned for early 2027, and HIPAA, EU hosting and a dedicated contact sit on the Enterprise add-on at $1,000 a month.
• –G2 reviewers report about 1 month to implement, longer than the minutes eesel cites for connecting an agent or the 1-week average setup on its customers page.

Pros

• ✓One inbox covers Slack, Microsoft Teams, email, chat, SMS, WhatsApp, phone, Telegram and Discord, with account context such as ARR and health score attached to every conversation.
• ✓An MCP server lets Claude, ChatGPT and Cursor read and update issues, accounts and contacts with each user's own permissions, and Support Agent can act in other MCP-compatible tools.
• ✓AssemblyAI reports 50% of eligible tickets resolved without a human and a 97% cut in first response time, and Pylon holds SOC 2 Type II and ISO/IEC 27001:2022 certifications.

Limitations

• –Seats start at $89 a month on an annual contract, AI agents need separately bought credits with a 5,000-credit minimum commitment and no published credit price, and Enterprise is quoted by sales.
• –G2 reviewers report about 1 month to implement, and Pylon's own figure is 90% of migrations finished in under two months.
• –Pylon publishes no platform-wide resolution rate, so autonomy figures come from individual customer case studies.