Head-to-head comparison
Dust vs Pylon
A practical comparison of Dust and Pylon for pricing, workflow fit, strengths, and limitations.
Choose Dust for
- Teams building shared agents over internal knowledge and tools
- Organizations that value model choice and US or EU residency
- AI operators prepared to own permissions, evaluations, and credit budgets
Choose Pylon for
- B2B support teams serving customers in Slack and other channels
- Teams that need account context during technical investigation
- Organizations prepared to supervise agent Skills and escalations
DiscoverAI verdict: Choose Dust when its best-use cases match your current workflow. Choose Pylon when its pricing, ecosystem, or category focus is a better fit.
Dust
Dust is worth testing for teams that want employees to build and operate shared AI agents over company knowledge and tools while retaining model choice and administrative controls
Pylon
Pylon is a credible shortlist for B2B support teams whose customer conversations and account context span Slack, email, chat, phone, and internal systems
| Decision factor | Dust | Pylon |
|---|---|---|
| Overall rating | Not rated | Not rated |
| Best for | Teams building shared agents over internal knowledge and tools, Organizations that value model choice and US or EU residency | B2B support teams serving customers in Slack and other channels, Teams that need account context during technical investigation |
| Features | Custom agents, Multiple frontier models, Knowledge connectors | Omnichannel support, Account intelligence, AI investigations |
| Pricing | Dust lists a free tier with 500 lifetime credits, Pro at €24 per seat per month billed yearly with 8,000 monthly credits, and Max at €120 with 40,000 credits. Credits reset rather than roll over. Model choice, research, retrieval, code, tool use, and multi-step orchestration consume different amounts; programmatic use is listed at $0.01 per credit. Enterprise pricing is custom. | Pylon does not publish a complete self-serve platform price table. Its help center lists legacy AI Assistants at an additional $50 per seat per month on Professional and higher tiers, phone support at $35 per seat monthly, and implementation packages at $1,000 or $5,000. Agentic Support is in beta and is expected to move to seat-plus-credit pricing at general availability. Obtain the exact base plan, minimums, channels, credits, migration, implementation, renewal, and overage terms in an order form. |
| Free plan | Yes. The free business tier includes 500 lifetime credits and is best treated as a bounded evaluation allowance. | No public permanent free plan is advertised. Product access and agentic-support beta participation are sales-led. |
| Main limitation | Teams seeking a fixed-price unlimited assistant | Small teams needing transparent self-serve pricing |
Final Recommendation
Choose Dust when its best-use cases match your current workflow. Choose Pylon when its pricing, ecosystem, or category focus is a better fit.
Dust
Best for
Teams building shared agents over internal knowledge and tools, Organizations that value model choice and US or EU residency, AI operators prepared to own permissions, evaluations, and credit budgets.
Why it belongs here
It overlaps on Enterprise AI Agents, but is a better fit when teams building shared agents over internal knowledge and tools.
Pros
- • Teams building shared agents over internal knowledge and tools
- • Custom agents
- • A controlled pilot can establish workflow value
Cons
- • Teams seeking a fixed-price unlimited assistant
- • High-consequence write actions without approval and rollback
- • Organizations without owners for connected knowledge and agent behavior
Pylon
Best for
B2B support teams serving customers in Slack and other channels, Teams that need account context during technical investigation, Organizations prepared to supervise agent Skills and escalations.
Why it belongs here
It overlaps on B2B Support and AI Agents, but is a better fit when b2b support teams serving customers in slack and other channels.
Pros
- • B2B support teams serving customers in Slack and other channels
- • Omnichannel support
- • A controlled pilot can establish workflow value
Cons
- • Small teams needing transparent self-serve pricing
- • Buyers requiring generally available agentic features immediately
- • Consequential support actions without draft mode, approvals, and audit evidence
Full Review
Dust
Dust is worth testing for teams that want employees to build and operate shared AI agents over company knowledge and tools while retaining model choice and administrative controls
Full Review
Pylon
Pylon is a credible shortlist for B2B support teams whose customer conversations and account context span Slack, email, chat, phone, and internal systems
Buying Guide
See the broader shortlist
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