ElevenLabs vs Dust
Side-by-side trajectory, velocity, and editorial themes.
ElevenLabs ships ElevenAgents weekly — telephony, enterprise trust controls, and broad model coverage all maturing in parallel.
ElevenLabs is in heavy weekly-shipping mode on ElevenAgents, its conversational-AI agents platform. Recent updates layer in telephony surfaces (SIP signaling logs, SMS conversation metadata, Twilio support, batch calling), conversation organization (first-class tags, agent version metadata, exclude_statuses), enterprise trust primitives (trust_context, IP allowlisting, source attribution, RAG citation metadata), and a sprawl of model coverage (Claude Opus 4.7, GPT-5.4/5.5 family, Qwen, Gemini 3.1 Flash Lite).
The company is repositioning from 'voice synthesis API' into a full voice-agents platform aimed at contact center, phone bot, and meeting-intelligence use cases. SIP/SMS integration, trust_context-scoped agents, and procedure compilers all point at enterprise telephony as the highest-value bet. Modality breadth — voice, text-only conversations, audio isolation from video — keeps the platform usable for adjacent media-intelligence workloads without diluting focus.
Expect a clearer packaging of ElevenAgents as a standalone product line with its own pricing, plus a turnkey CCaaS-style contact-center option that bundles SIP, batch calling, and the conversation-organization surface. Multi-agent workflow orchestration is the obvious next direction given the workflow-tool-dispatch and procedure infrastructure already landing.
Dust is widening the agent-platform surface: multimodal tools, enterprise audit, model breadth.
Dust is shipping at a fast clip on three fronts that together define a serious agent platform: model breadth (Gemini 3.5 Flash, Grok 4.3, refreshed Anthropic lineup), agent capability (MCP tools can now return images the agent can actually see, plus context compaction for long runs), and enterprise readiness (workspace audit logs streamable to Datadog, Splunk, or any HTTPS sink). Integrations are getting versioned upgrades on the side (Asana MCP v2, Gmail labels and archive). The product is moving from 'chat with an agent' toward 'run agents in production with observability and multimodal I/O.'
Two clear directions: deeper enterprise GTM via SIEM-grade audit, and a more capable agent runtime that can see, remember, and act inside third-party SaaS. The MCP-image release in particular treats Model Context Protocol as a real I/O surface rather than a text-only RPC, which is where the broader MCP ecosystem is heading. Frequent model rotations suggest Dust is positioning as model-agnostic infrastructure rather than locking into one provider.
Next moves likely lean into the same arc: more MCP integrations with action verbs (write/delete/transition states), expanded multimodal returns (audio, structured documents), and finer-grained admin controls layered on top of the audit foundation - tool-usage policies, per-agent egress rules, or approval workflows.
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