Vapi vs Dust
Side-by-side trajectory, velocity, and editorial themes.
Vapi rounds out transcriber options, real-time signals, and monitoring as its voice infra hardens for production
Vapi's recent releases concentrate on production-grade voice infrastructure rather than new capability surfaces. The transcriber lineup is expanding — Soniox is now GA, Deepgram Flux gained multilingual support, and an autofallback plan lets the platform pick a backup transcriber mid-call if the primary fails. Real-time signals for UI consumers are also maturing: assistant.speechStarted went GA with per-word timing on ElevenLabs and cursor-based word progress on Minimax, opening clean integrations for live captions and karaoke-style UI. Squads agent handoffs picked up a previousAssistantMessages context type, and Monitoring graduated to GA in mid-April with trigger-based rules and dashboard alerts.
The shipping cadence is weekly and the through-line is consolidation from feature-shipping to production-ready surfaces — GA flags, fallback plans, monitoring. The transcriber expansion is the most directional piece: Soniox plus Deepgram Flux plus autofallback selection is both a hedge against single-provider dependence and a clear play for multilingual workloads. The crawler is picking up duplicate stub entries per week alongside the content-bearing ones, which inflates the apparent volume but does not reflect duplicate releases.
Expect a TTS-side mirror of the transcriber autofallback work next, given the symmetry of the voice stack, plus deeper Monitoring integrations — likely structured alert webhooks and custom rule templates. The previousAssistantMessages handoff type suggests more granular context-shaping primitives for Squads are queued.
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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