Enterprise AI Comparison

Dust Alternative for
Enterprise AI Agents

Dust is a team AI workspace that grounds assistants in Notion, Slack, Google Drive, and GitHub — built by former OpenAI and Stripe engineers, €29/user Pro, $40M Series B. But when you need agents that act across enterprise systems, multi-step DAG orchestration, on-prem deployment, and EU AI Act compliance — here is how VDF AI compares on the dimensions enterprise buyers actually evaluate.

QUICK VERDICT

The 30-Second Answer

Dust is the right tool if you want a fast, well-designed AI workspace where teams build assistants grounded in Notion, Slack, Google Drive, and GitHub, and €29/user/month Pro or a custom Enterprise plan fits your use case.

VDF AI is the right tool if you need agents that act across multiple enterprise systems (read and write), run multi-step DAG workflows, need EU AI Act evidence trails, on-prem deployment, or predictable flat per-seat pricing at governed production scale.

Dust
VDF AI
Best for
Team knowledge assistants
Governed production agents
Pricing model
€29/user Pro; Enterprise custom
Flat per-seat
Agent capability
Conversational retrieval from docs
Multi-step DAG, write access, cross-system
Enterprise governance
SOC 2, GDPR, HIPAA-enabling
Built-in audit, RBAC, Vault, EU AI Act
On-prem deployment
SaaS-only (US or EU hosting)
Vendor-supported on-prem
Knowledge setup speed
Connect Notion/Slack/Drive in minutes
OAuth connectors + semantic retrieval
Multi-model support
OpenAI, Anthropic, Google, Mistral
Any provider via SEEMR routing
PRICING & DEPLOYMENT

Dust Pricing & Enterprise Support

The real cost comparison goes beyond the sticker price.

Dust Pricing

Verified June 2026 on dust.tt/home/pricing

Pro€29/user/mo14-day free trial · small teams and startups
EnterpriseCustom100+ users min · SSO, SCIM, multi-workspace, US/EU hosting
CertificationsSOC 2 Type II, GDPR, HIPAA-enabling

Dust is SaaS-only. No self-hosted or on-premises edition. Enterprise plan requires a 100-user minimum.

VDF AI Pricing

Flat commercial model

Per-seat pricingFlat rateNo per-user metering, no execution charges
IncludesRuntime, integrations, observability, governance, and support
On-prem / hybridVendor-supported deployment options with SLAs

Predictable cost regardless of how many AI calls your agents make.

The deployment trade-off

Dust is SaaS-only with US or EU hosting options on the Enterprise plan. There is no self-hosted or on-premises edition. For regulated industries that require agents to run within their own infrastructure — air-gapped, sovereign, or zero-egress environments — VDF AI’s vendor-supported on-prem deployment is the path forward.

GOVERNANCE

Governance & Auditability

The gap that matters most when regulated industries evaluate Dust.

Audit trails
DustAssistant-level conversation logs; deep run-level audit: verify with Dust
VDF AIVault stores cryptographically durable run history — every agent decision, tool call, and model response
RBAC & access control
DustWorkspace roles; Enterprise adds SSO (Okta, Entra, JumpCloud) and SCIM
VDF AIEnterprise RBAC with team, agent, and connector-level permissions built into the platform
EU AI Act readiness
DustEU hosting option; GDPR certified; EU AI Act classification evidence: not stated
VDF AIBuilt-in classification workflows, evidence generation, residency controls
Data residency
DustEnterprise plan: US or EU hosting choice at the infrastructure level
VDF AIEU and regional residency at the agent and workflow level with vendor commitment
Cost & energy observability
DustLLM cost visibility: verify current Dust capabilities
VDF AIPer-node cost, latency, and energy telemetry purpose-built for FinOps
On-premises deployment
DustSaaS-only; no self-hosted or on-premise edition
VDF AIVendor-supported on-prem, hybrid, and air-gapped deployments with SLAs
DEEP DIVE

Knowledge Workspace & AI Assistants

Dust’s biggest strength — and where the trade-offs start.

Dust’s Knowledge Approach

  • Fast knowledge setup — connect Notion, Slack, Google Drive, and GitHub in minutes with native ingestion UX
  • Custom assistants — build assistants with specific data sources, instructions, and model choices without code
  • Multi-model flexibility — OpenAI, Anthropic, Google, Mistral per-assistant choice
  • Write access — retrieval-first design; agent write actions to enterprise systems: verify with Dust
  • Multi-step DAGs — conversational assistants; complex multi-step orchestration: verify with Dust

VDF AI’s Agent Approach

  • Write access to SaaS — create, update, comment across M365, Jira, Confluence, GitHub, Slack, Zoom via MCP tools
  • Multi-step DAG orchestration — Networks v3 nested networks with intent decomposition
  • Governed data access — audit trails and RBAC for every retrieval and action
  • SEEMR adaptive routing — real-time model selection across cost, quality, latency, and energy
  • Knowledge setup — OAuth connectors with semantic retrieval; less drag-and-drop than Dust’s workspace UX

For teams that use Dust for conversational knowledge assistants and need governed action-taking agents, both platforms can coexist.

ORCHESTRATION

Multi-Agent Orchestration

The architectural gap that appears when teams need agents that do more than answer questions.

Dust

Team AI knowledge workspace

  • Knowledge connectors — Notion, Slack, Google Drive, GitHub with native ingestion
  • Custom assistants — conversational agents grounded in company data
  • Multi-model support — swap OpenAI, Anthropic, Google, Mistral per assistant
  • Team workspace — shared assistant library with collaborative building

Designed for teams that need grounded answers from company knowledge. Complex multi-step agentic workflows across enterprise systems are outside the primary design scope.

VDF AI

Enterprise orchestration plane

  • Networks v3 — spec-driven DAGs with nested networks and intent decomposition
  • Agent Hub — 6-step builder, multi-provider routing, MCP tool registry
  • SEEMR — Self-Evolving Model Router with four live dimensions (architecture)
  • MCP Server — tool execution wired to 10+ enterprise connectors
  • Vault — durable encrypted run history for investigations

Purpose-built for scenarios where agents must take actions across multiple SaaS systems in coordinated production workflows.

DEPLOYMENT

Deployment Ownership

Who carries the pager when your AI agents are in production?

DimensionDustVDF AI
Cloud hostingDust Cloud SaaS (US or EU on Enterprise)VDF AI Cloud (vendor-operated)
Self-hosted / on-premNot available — SaaS onlyVendor-supported on-prem with SLAs
Hybrid deploymentNot availableCloud + on-prem hybrid as a supported pattern
Air-gapped / sovereignNot availableAir-gapped and zero-egress options
Data residency guaranteesEnterprise: US or EU hosting choiceEU and regional residency at agent/workflow level
SSO / SCIMOkta, Entra, JumpCloud, SCIM (Enterprise)Enterprise RBAC and auth
Compliance certificationsSOC 2 Type II, GDPR, HIPAA-enablingEU AI Act-aligned controls, data residency
FAIR PLAY

When to Use Dust

Dust earned strong traction with knowledge-work teams — here is where it shines.

Dust is the right call when…

  • You want assistants that answer questions grounded in Notion, Slack, Google Drive, and GitHub — fast setup, no engineering overhead.
  • €29/user/month Pro or a custom Enterprise plan fits your buying motion and team size.
  • A collaborative team workspace where anyone can build and refine assistants is the primary UX requirement.
  • You don’t yet need on-prem deployment, agent write access to production SaaS systems, or EU AI Act evidence trails.
  • Multi-model flexibility (OpenAI, Anthropic, Google, Mistral) per-assistant matters more than adaptive model routing.
  • Your $40M-backed vendor with SOC 2 / GDPR / HIPAA certifications meets your compliance gate.
Dust’s genuine strengths
Fast knowledge assistant setup

Connect Notion, Slack, Google Drive, and GitHub in minutes; build assistants without writing code. Time from sign-up to working assistant is measured in hours.

Collaborative team workspace

Shared assistant library with role-based access. Non-technical team members build and improve assistants alongside developers.

Accessible per-user pricing

€29/user/month Pro makes Dust approachable for teams that don’t yet need enterprise platform procurement.

Multi-model per-assistant

Swap between OpenAI, Anthropic, Google, and Mistral per assistant without rewriting logic — strong model flexibility for different use cases.

GRADUATION SIGNALS

When to Graduate to VDF AI

Signs that your AI needs have outgrown what a knowledge workspace was designed for.

Agents need to write, not just read

Dust assistants retrieve from knowledge bases. When agents must create Jira tickets, update CRM records, comment in Slack, or commit to GitHub, you need write-access connectors with audit — not just retrieval.

Workflows span multiple systems

When a single orchestration needs to read from Confluence, create a ticket, update Slack, and commit code — you need multi-step DAGs, not conversational assistants. VDF AI Networks v3 handles that coordination.

EU AI Act evidence is required

Dust offers EU hosting and GDPR certification. But when legal needs Article 6–51 classification evidence, per-run audit trails, and data residency at the workflow level, you need purpose-built compliance tooling.

On-premises is non-negotiable

Dust is SaaS-only. If your regulated industry requires agents to run within your own infrastructure — air-gapped, sovereign, or zero-egress — you need a vendor-supported on-prem platform.

Agents need to coordinate

Conversational assistants work in Dust. But when ten agents need nested DAGs, intent decomposition, and shared state across four SaaS systems — you need an orchestration plane, not a workspace.

FinOps needs per-node telemetry

VDF AI provides per-node cost, latency, and energy metrics — the granularity FinOps teams need to govern LLM spend across production agents at enterprise scale.

MIGRATION

Migration Path

You do not have to replace Dust. Here is how teams layer VDF AI on top.

1
Assess & map

VDF AI’s integration team audits your Dust assistants, connected data sources, and team workflows. We identify which use cases benefit from governed orchestration and which stay on Dust as knowledge assistants.

2
Layer & coexist

Keep Dust for conversational knowledge assistants your team already uses. VDF AI handles new workflows that need write access, multi-step DAGs, or EU AI Act evidence trails. The two platforms run at different layers of the AI toolchain.

3
Add enterprise connectors

VDF AI’s OAuth-first connectors for M365, Jira, Confluence, GitHub, Slack, and Zoom give agents write access with semantic retrieval, audit logging, and RBAC built in.

4
Graduate orchestration

Move complex cross-system workflows to Networks v3 with spec-driven DAGs, nested networks, and intent decomposition. Dust remains for team knowledge assistants if your team still values the workspace UX.

FULL COMPARISON

Feature by Feature

Dust pricing and features verified June 2026 against dust.tt/home/pricing and product pages.

CapabilityVDF AIDust
Primary categoryGoverned enterprise agent orchestrationTeam AI knowledge workspace & assistant builder
Pricing modelFlat per-seat — no per-user metering€29/user/mo Pro; Enterprise custom (100+ users)
Knowledge base connectorsSemantic retrieval via MCP connectorsNotion, Slack, Google Drive, GitHub with native ingestion UX
Multi-step agentic workflowsNetworks v3 DAGs with write access, branches, nested agentsConversational assistants; complex multi-step DAGs: verify with Dust
Write access to enterprise systemsVia MCP tools (create, update, comment across SaaS)Retrieval-first; write actions: verify current capabilities
Multi-model LLM supportAny provider via SEEMR adaptive routingOpenAI, Anthropic, Google, Mistral per-assistant choice
Enterprise SSO / SCIMRBAC + enterprise authOkta, Entra, JumpCloud, SCIM on Enterprise plan
EU AI Act toolingBuilt-in aligned controls & data residency routingEU hosting option (Enterprise); GDPR certified; EU AI Act classification: not stated
Cost & energy analyticsPer-node cost, latency, energy telemetryLLM cost visibility: verify current capabilities
DeploymentCloud, hybrid, vendor-supported on-premCloud SaaS only (US or EU hosting)
Target buyerEnterprise AI platform / risk teamsTeams wanting grounded AI assistants on company knowledge, fast

Dust pricing verified June 2026 against dust.tt/home/pricing. Dust is SaaS-only with US or EU hosting on the Enterprise plan; no self-hosted edition is available. $40M Series B raised May 2026 (Abstract, Sequoia, Snowflake Ventures, Datadog).

FAQ

Frequently Asked Questions

What enterprise buyers ask when evaluating Dust alternatives.

Dust (verified June 2026 on dust.tt/home/pricing): Pro is €29 per user per month after a 14-day free trial, for small teams and startups. Enterprise requires custom pricing and a minimum of 100 users; it adds SSO (Okta/Entra/JumpCloud), SCIM, multi-workspace, US/EU hosting choice, and priority support. Dust holds SOC 2 Type II, GDPR, and HIPAA-enabling certifications. VDF AI is flat per-seat commercial pricing that bundles runtime, multi-agent orchestration, enterprise connectors, observability, and EU AI Act governance in one platform fee.

Dust excels as a team knowledge workspace — connecting Notion, Slack, Google Drive, and GitHub so employees can build AI assistants grounded in company data. It is not primarily an agent orchestration platform. For teams that need agents to take actions across enterprise systems (create Jira tickets, update records, trigger GitHub workflows), run multi-step DAG workflows, or produce EU AI Act evidence trails, VDF AI is purpose-built for that scope.

A Dust assistant is a knowledge-grounded conversational agent scoped to a team's connected data sources — Notion pages, Slack messages, Google Drive files, GitHub repos. It answers questions and surfaces insights from those sources using models from OpenAI, Anthropic, Google, or Mistral. A VDF AI agent runs inside a Networks v3 DAG: it can read from and write to enterprise SaaS systems, call external APIs via MCP tools, route across models with SEEMR, and chain into multi-agent workflows — going beyond retrieval to action and cross-system orchestration.

Yes. Teams sometimes use Dust for the everyday conversational assistant layer — answering questions grounded in Notion or Slack — and VDF AI for complex multi-step workflows that span multiple systems, require write access, or need EU AI Act evidence trails. VDF AI can call Dust agent endpoints via its MCP tool layer if Dust exposes an API, or the two run independently at different layers of the AI toolchain.

Dust Enterprise offers a choice of US or EU hosting, with SOC 2 Type II and GDPR certifications. VDF AI provides EU AI Act-aligned controls, data residency routing at the agent and workflow level, and Vault audit evidence that goes beyond hosting choice — purpose-built for European regulated enterprises that must demonstrate Article 6–51 compliance at the orchestration layer, not just at the infrastructure level.

Dust is designed around team AI assistants grounded in company knowledge. Its primary pattern is conversational retrieval, not multi-agent DAG orchestration. VDF AI Networks v3 was purpose-built for multi-agent orchestration: spec-driven DAGs, nested networks, intent decomposition, and coordinated execution across 10+ enterprise connectors — designed for scenarios where multiple agents touch multiple SaaS systems in one orchestration.

You typically don't replace Dust — you layer VDF AI on top. Keep Dust for conversational knowledge assistants that are already working. When a workflow needs to write to Jira, trigger a GitHub action, loop through documents, or leave an EU AI Act audit trail, VDF AI handles the orchestration step. VDF AI’s integration team maps your existing data flows and assistant patterns so the two platforms complement each other.

No. Dust is SaaS-only with a choice of US or EU hosting on the Enterprise plan. There is no self-hosted or on-premises edition. VDF AI offers vendor-supported on-prem and hybrid deployments for regulated industries that cannot use SaaS-only platforms — you own the data, VDF AI operates the platform within your infrastructure.

Ready for Agents That Act, Not Just Answer?

When your knowledge assistants need to write to Jira, update records, or run EU AI Act-auditable multi-step workflows, VDF AI picks up where knowledge workspaces leave off — without throwing away what already works.

View VDF AI Products