Pylon vs Decagon (2026)

Pylon

by Pylon Labs

Decagon

by Decagon

Pros

• ✓Official MCP Server at mcp.usepylon.com with read and write tools for issues, accounts, and contacts: AI tools including Claude, ChatGPT, and Cursor can authenticate via OAuth and query or update Pylon data, enabling support data to flow into AI-native engineering and product workflows that helpdesk incumbents do not support.
• ✓AI Agents with documented 97% first response time reduction at AssemblyAI: from 15 minutes to 23 seconds, with 50% of eligible tickets resolved autonomously without escalation, providing one of the strongest published outcome case studies in the B2B support category at the $100/month AI Agents add-on tier.
• ✓SOC 2 Type II, ISO 27001:2022, GDPR, HIPAA BAA, and zero AI data retention: the only B2B support platform with MCP integration that also provides HIPAA BAA on Enterprise and explicit contractual guarantees that customer data is never used to train AI models, covering regulated industry B2B support requirements.

Limitations

• ⚠Modular pricing creates significant cost complexity above the base platform: AI Agents ($100/month+), AI Assistants ($50/seat/month), and Account Intelligence ($10/account/month, 50 minimum) each add separately, making total monthly spend materially higher than the Starter $59 base rate implies for teams that need the full stack.
• ⚠Three-seat minimum on Starter and Professional and seven seats on Enterprise prevents very small B2B support teams from accessing the platform: solo operators and two-person support teams cannot use Pylon at any tier, which excludes early-stage startups that are exactly the B2B software companies with Slack-heavy customer relationships.
• ⚠Annual billing required on all tiers means teams commit before fully validating AI Agent results in production: unlike Intercom Fin ($0.99/resolution, no annual lock-in) or Re:amaze (monthly available), Pylon's modular structure requires annual commitments across multiple product lines simultaneously.

Pros

• ✓Purpose-built AI architecture enables genuinely autonomous resolution rather than AI layered onto a legacy helpdesk: Decagon's AOPs, supervisor model, and Watchtower QA system produce resolution quality that bolt-on AI tools cannot match for complex, multi-step support conversations.
• ✓Documented enterprise outcomes across a named customer base: ClassPass achieved a 10x deflection rate increase, Flashfood resolves 90%+ of issues automatically, and Hunter Douglas Group reports 70% chat and voice resolution in production deployments.
• ✓Zero-day retention policy with all LLM providers confirmed on the security page: no conversation data is stored or used for model training by OpenAI, Anthropic, or any other AI provider, which is a hard compliance requirement for regulated industries.

Limitations

• ⚠Custom pricing with no published tiers requires a full sales process before any budget estimate is possible: makes it impossible to compare costs against Intercom Fin ($0.99/resolution) or Zendesk AI (from $55/agent/month) without a vendor conversation and scoping call.
• ⚠Enterprise-only positioning with significant onboarding investment means months to first production deployment: not suitable for teams that need self-serve setup or fast time-to-value, where Intercom Fin or Tidio provide faster ROI at lower initial cost.
• ⚠Limited G2 review footprint at 18 reviews despite a strong enterprise customer base: low third-party review volume can be a procurement concern for risk-averse buyers requiring extensive peer validation before committing to a custom enterprise contract.