Forrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).
Demo · hover to playConversational AI agent assist for contact centers — coaches reps and automates after-call work in real time.
| Spec | Cresta | Dust |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 77 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription · from $29 |
| Open source | No | No |
| Capabilities | Voice, Tool use, Memory, RAG | Tool use, Memory, RAG, Multi-agent |
| Integrations | 4 apps | 5 apps |
| Verified | Verified | — |
| Released | Mar 2025 | Mar 2025 |
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Pick Cresta if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
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Pick Cresta if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Dust if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Cresta for primary work and Dust for the workflows where its specific strengths matter.
Cresta starts at Subscription · Free tier; Dust starts at Subscription · from $29. Cresta is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Both Cresta and Dust are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
Forrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).
Demo · hover to playEnterprise-Sprachassistenten für Call-Center — natürliche Gespräche, die Kundenanfragen lösen.
KI-Kundenservice-Agent — löst Tickets über Chat, E-Mail und Sprache mit messbaren Ticket-Deflection-Raten.