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Side-by-side / Horizontal AI

Dust vs Copy.ai

Dust and Copy.ai compared on the same dimensions, with Nagent beside them: role, pricing, governance evidence, screenshots and the demonstration to ask for.

Dust vs Copy.ai: which fits a growth team?

Dust is a reusable workspace and orchestration layer at €30 / seat / month; Copy.ai is a reusable workspace and orchestration layer at Chat from $29 / month. Nagent is multiplayer AI for growth teams: agent teams for marketing, sales and CX in one shared workspace, from $29.99 a month, with autonomy earned on approved work.

Sourced vendor findings presented on one framework. Statements are vendor-documented and dated on each dossier; effectiveness was not independently tested. Nagent is included as the platform compared.

At a glance

Same-category comparison. Delivery scope and plan still matter. Statements are vendor-documented; effectiveness was not independently tested.
DimensionNagent ↗Dust ↗Copy.ai ↗
Stack roleControl plane / Horizontal AIControl plane / Horizontal AIControl plane / Horizontal AI
Maturityscalingscalingscaling
Growth scopeMarketing, Sales, CXMarketing, Sales, CXMarketing, Sales
PriceFrom $29.99 per month€30 / seat / monthChat from $29 / month
Billing basisPublished plans with seats and monthly credits; annual billing saves 33%. Enterprise adds VPC deployment, BYO model and BYO key.Pro monthly: 8,000 credits. Annual: €24/seat/month equivalent. Excludes VAT; Enterprise custom.Chat annual equivalent $24/month. GTM Growth is $1,000/month billed annually; these are different scopes.
Documented statementsNagent runs a shared workspace for people and agents, Smriti memory that every agent reads, Karma performance records built from each agent's KPIs and governance history, and composable skills, tools, agents and workflows. 17 ready-to-install agents ship today: one super agent, 8 function specialists and 8 industry strategists. Agents run on 19 model providers and 61 models and connect to 998 tools. The marketplace lists 58 published agents in all. 4 patents filed, 3 published.Dust explicitly markets multiplayer human–agent collaboration. Pro and Max differ in included credits; Max is €150 monthly or €120 on annual billing, with 40,000 credits per seat monthly. Enterprise adds pooled credits, SCIM and audit-log features.Copy.ai separates chat access from larger workflow packages. Growth lists 20,000 monthly workflow credits; Expansion lists 45,000 and a $2,000 monthly equivalent billed annually.
Governance evidenceEvery action is fired, queued for approval or refused. Approval sits before the irreversible step, destructive changes always ask first, and each agent carries a budget cap and a kill switch. 6 workspace roles (Admin, Sales, Approver, Editor, Writer, Viewer), tenant isolation and an append-only audit trail. Autonomy runs L0 Locked to L4 Fully autonomous and is promoted on approved work, never automatically. SOC 2 Type II and ISO 27001 programmes underway; tenant isolation, RBAC, append-only audit and private VPC available today.Dust describes separate permissions for agent data access and agent use, plus enterprise retention and deployment options. Validate the selected plan and connector behaviour.Confirm workspace access, publishing permissions and workflow change controls for the selected package.
Promoted use casesRun marketing, sales and CX agent teams with the people who own the number; Give every agent one shared memory and one ledger of decisions; Raise each agent from locked to fully autonomous on approved work, with approval before anything irreversible; Bring in forward deployed engineers and Growth Pods for custom deliveryResearch accounts and prepare proposals; Create campaign briefs and performance narratives; Triage support and synthesize company knowledgeCodify GTM workflows; Generate and repurpose marketing assets; Research accounts and prepare sales content
Review statusFigures from live client campaigns, 2025 to 2026, are published on nagent.ai: Emami Navratna: 24.5M+ reach on a single agent-run campaign; Madmonk AI: 5x more qualified leads; Bigbasket: 70% lower video ad production cost; Sophoz: 3x trial user growth after relaunch. Thirteen brands are named, with four customers quoted by name. These are vendor-published results; ask for a reference in your function and the baseline behind each figure.G2’s September 2026 seller-invited review by Thibault G. praises model choice, connected knowledge and scheduled automation. A separate 2025 review sample praises reusable agents and support while raising onboarding, documentation and editing concerns. Those historical complaints require re-testing against today’s product. These are attributed experiences, not a representative benchmark or a verified guarantee of results.No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating.
Editorial fitNagent is the option for teams that want agents and people in one workspace rather than a tool beside the work: shared memory, autonomy that is earned and enforced, published pricing from $29.99 per month, and a delivery team that owns the outcome with you. Evaluate it on the same evidence you would ask of any vendor: shared context, human control and a safe improvement loop.Dust is a direct horizontal workspace comparator. Its self-service, published seat economics are easier to inspect than a custom managed engagement. Whether that workspace covers a particular end-to-end growth process still depends on configuration, connectors and accountable operators.The low chat price should not anchor a comparison with a managed, multi-step growth system. Scope the actual workflow package, data costs and implementation ownership first.
Priority questionCan two colleagues join the same live agent task, change its direction, inspect the memory it used, approve or reject an action and export the audit trail? Nagent demonstrates this in a team room.Show permission propagation and revocation across a shared conversation, a connected source and a scheduled agent.What does one completed, accepted campaign workflow consume under the proposed plan?
Facts checked4 October 202623 September 202623 September 2026
Detailed guideAll Nagent comparisons ↗Nagent vs Dust ↗Nagent vs Copy.ai ↗

Screenshots and source context

Public Nagent source page captured 22 September 2026
Nagent · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗
Public Dust source page captured 22 September 2026
Dust · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗
Public Copy.ai source page captured 22 September 2026
Copy.ai · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗
Nagent product view captured 4 October 2026
Nagent · Product view captured 4 Oct 2026. The Sales team room: people and agents in one thread, with the side panel for pinned items and the repository. Nagent's own capture. Open source ↗
Nagent product view captured 4 October 2026
Nagent · Product view captured 4 Oct 2026. Actions awaiting approval: a pending action with its risk level, expiry, Approve and Dismiss. Nagent's own capture. Open source ↗
Nagent product view captured 4 October 2026
Nagent · Product view captured 4 Oct 2026. The Agent Workbench: every agent at the autonomy level it has earned. Nagent's own capture. Open source ↗
Nagent product view captured 4 October 2026
Nagent · Product view captured 4 Oct 2026. The Sales org: the agent team and the people who own the number. Nagent's own capture. Open source ↗
Nagent product view captured 4 October 2026
Nagent · Product view captured 4 Oct 2026. Brand Lock: the brand voice and rules every agent writes within. Nagent's own capture. Open source ↗
Nagent product view captured 4 October 2026
Nagent · Product view captured 4 Oct 2026. DRIS: the visibility control plane, objectives and the proposal queue. Nagent's own capture. Open source ↗

Nagent in detail

Horizontal AIControl planescalingMarketingSalesCX

Multiplayer AI platform for growth teams: AI agent teams for marketing, sales and CX work with people in one shared workspace, with Smriti memory, Karma scoring and autonomy that is earned, not deployed.

What the vendor documents

Nagent runs a shared workspace for people and agents, Smriti memory that every agent reads, Karma performance records built from each agent's KPIs and governance history, and composable skills, tools, agents and workflows. 17 ready-to-install agents ship today: one super agent, 8 function specialists and 8 industry strategists. Agents run on 19 model providers and 61 models and connect to 998 tools. The marketplace lists 58 published agents in all. 4 patents filed, 3 published.

Published commercial evidence

From $29.99 per month

Published plans with seats and monthly credits; annual billing saves 33%. Enterprise adds VPC deployment, BYO model and BYO key.

Check current commercial source ↗

Collaboration and governance

Every action is fired, queued for approval or refused. Approval sits before the irreversible step, destructive changes always ask first, and each agent carries a budget cap and a kill switch. 6 workspace roles (Admin, Sales, Approver, Editor, Writer, Viewer), tenant isolation and an append-only audit trail. Autonomy runs L0 Locked to L4 Fully autonomous and is promoted on approved work, never automatically. SOC 2 Type II and ISO 27001 programmes underway; tenant isolation, RBAC, append-only audit and private VPC available today.

Promoted use cases

  • Run marketing, sales and CX agent teams with the people who own the number
  • Give every agent one shared memory and one ledger of decisions
  • Raise each agent from locked to fully autonomous on approved work, with approval before anything irreversible
  • Bring in forward deployed engineers and Growth Pods for custom delivery

Review and customer evidence

Figures from live client campaigns, 2025 to 2026, are published on nagent.ai: Emami Navratna: 24.5M+ reach on a single agent-run campaign; Madmonk AI: 5x more qualified leads; Bigbasket: 70% lower video ad production cost; Sophoz: 3x trial user growth after relaunch. Thirteen brands are named, with four customers quoted by name. These are vendor-published results; ask for a reference in your function and the baseline behind each figure.

Editorial fit

Nagent is the option for teams that want agents and people in one workspace rather than a tool beside the work: shared memory, autonomy that is earned and enforced, published pricing from $29.99 per month, and a delivery team that owns the outcome with you. Evaluate it on the same evidence you would ask of any vendor: shared context, human control and a safe improvement loop.

Priority question for the demo: Can two colleagues join the same live agent task, change its direction, inspect the memory it used, approve or reject an action and export the audit trail? Nagent demonstrates this in a team room.

Nagent dossier ↗ · Every Nagent comparison guide ↗

Dust in detail

Horizontal AIControl planescalingMarketingSalesCX

Collaborative enterprise AI workspace for teams to build and use connected agents.

What the vendor documents

Dust explicitly markets multiplayer human–agent collaboration. Pro and Max differ in included credits; Max is €150 monthly or €120 on annual billing, with 40,000 credits per seat monthly. Enterprise adds pooled credits, SCIM and audit-log features.

Published commercial evidence

€30 / seat / month

Pro monthly: 8,000 credits. Annual: €24/seat/month equivalent. Excludes VAT; Enterprise custom.

Check current commercial source ↗

Collaboration and governance

Dust describes separate permissions for agent data access and agent use, plus enterprise retention and deployment options. Validate the selected plan and connector behaviour.

Promoted use cases

  • Research accounts and prepare proposals
  • Create campaign briefs and performance narratives
  • Triage support and synthesize company knowledge

Review and customer evidence

G2’s September 2026 seller-invited review by Thibault G. praises model choice, connected knowledge and scheduled automation. A separate 2025 review sample praises reusable agents and support while raising onboarding, documentation and editing concerns. Those historical complaints require re-testing against today’s product. These are attributed experiences, not a representative benchmark or a verified guarantee of results.

Editorial fit

Dust is a direct horizontal workspace comparator. Its self-service, published seat economics are easier to inspect than a custom managed engagement. Whether that workspace covers a particular end-to-end growth process still depends on configuration, connectors and accountable operators.

Priority question for the demo: Show permission propagation and revocation across a shared conversation, a connected source and a scheduled agent.

Dust dossier ↗ · Read Nagent vs Dust ↗

Copy.ai in detail

Horizontal AIControl planescalingMarketingSales

GTM AI platform for codifying and running reusable marketing and sales workflows.

What the vendor documents

Copy.ai separates chat access from larger workflow packages. Growth lists 20,000 monthly workflow credits; Expansion lists 45,000 and a $2,000 monthly equivalent billed annually.

Published commercial evidence

Chat from $29 / month

Chat annual equivalent $24/month. GTM Growth is $1,000/month billed annually; these are different scopes.

Check current commercial source ↗

Collaboration and governance

Confirm workspace access, publishing permissions and workflow change controls for the selected package.

Promoted use cases

  • Codify GTM workflows
  • Generate and repurpose marketing assets
  • Research accounts and prepare sales content

Review and customer evidence

No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating.

Editorial fit

The low chat price should not anchor a comparison with a managed, multi-step growth system. Scope the actual workflow package, data costs and implementation ownership first.

Priority question for the demo: What does one completed, accepted campaign workflow consume under the proposed plan?

Copy.ai dossier ↗ · Read Nagent vs Copy.ai ↗

How to run the evaluation

Run the same bounded pilot on Dust and Copy.ai and on Nagent, with the inputs, the required output and the measure fixed before the first demo. Ask each vendor to show who can propose, approve, execute, interrupt and audit the action, and keep the evidence.

Account research to approved follow-up

Give the team an account record, a current product brief and a small set of approved customer references. Ask it to identify a relevant problem, distinguish observed facts from inferred needs, and prepare a follow-up for review. Then change one source and require a second person to correct the draft without restarting the research.

Measure: source accuracy, reviewer minutes, approved follow-ups and CRM consistency.

Campaign brief to coordinated delivery

Start with one campaign objective, audience, budget constraint and brand guide. Require research, a brief, assets and a release checklist with distinct human owners. Introduce an unresolved claim midway through the process. The system should retain useful work while preventing that claim from silently propagating into every asset.

Measure: accepted assets, revision burden, approval latency and missing handoffs.

Customer insight to shared learning

Provide anonymized support themes and sales objections. Ask for a synthesized insight, a proposed campaign adjustment and a knowledge update. A marketing owner and a CX owner should review the same underlying evidence. The exercise tests cross-functional context and accountability, not merely summarization quality.

Measure: evidence coverage, disagreement resolution and reuse of approved learning.

The evaluation owner should be a growth operations lead. Use accepted work completed across tools as the business target.

Frequently asked questions

Dust vs Copy.ai: what is the difference?

Dust is a reusable workspace and orchestration layer; Collaborative enterprise AI workspace for teams to build and use connected agents. Copy.ai is a reusable workspace and orchestration layer; GTM AI platform for codifying and running reusable marketing and sales workflows. Both sit in the same stack role, so delivery scope, commercial basis and governance decide.

How do Dust and Copy.ai compare on price?

Dust: €30 / seat / month. Pro monthly: 8,000 credits. Annual: €24/seat/month equivalent. Excludes VAT; Enterprise custom. Copy.ai: Chat from $29 / month. Chat annual equivalent $24/month. GTM Growth is $1,000/month billed annually; these are different scopes. Nagent publishes 4 plans, from $29.99 a month, with monthly credits as the unit of agent work.

Which has stronger governance: Dust or Copy.ai?

Dust: Dust describes separate permissions for agent data access and agent use, plus enterprise retention and deployment options. Validate the selected plan and connector behaviour. Copy.ai: Confirm workspace access, publishing permissions and workflow change controls for the selected package. Nagent puts approval before any irreversible action, gives each agent a budget cap and a kill switch, and keeps an append-only audit trail.

Is Nagent an alternative to Dust or Copy.ai?

Nagent is a multiplayer AI platform where agent teams for marketing, sales and CX work with people in one shared workspace. It overlaps with Dust and Copy.ai where a growth team wants agents to do the work, and differs in operating model, governance and delivery; many teams run it beside a a reusable workspace and orchestration layer.

What should I ask Dust and Copy.ai in a demo?

Dust: Show permission propagation and revocation across a shared conversation, a connected source and a scheduled agent. Copy.ai: What does one completed, accepted campaign workflow consume under the proposed plan? For Nagent, ask to see a team room with several people, an approval taken in the Inbox and the audit entry it leaves.

Sources and research notes

Nagent · Multiplayer AI for growth teamsResearch: 21–29 September 2026 · Public-source analysis, no hands-on benchmark · Sources & method