Dust vs Lindy

Dust vs Lindy: Dust is best for company knowledge assistants, Lindy for business automation. Full breakdown on price, features, pros and cons below.

Detailed comparison

Use-case fit: Dust is built for company knowledge assistants, internal automation, while Lindy targets business automation, AI assistants. The right tool depends on your team's primary pain point, technical depth, and integration roadmap. Neither fits every scenario; alignment with your workflow maturity is key.

Pricing: Dust from $29/user/mo (Pro), Lindy from $30/mo. Total cost of ownership in enterprise deployments includes implementation, training, and support. ROI is typically measured per site or asset type; annual or multi-year contracts often offer discounts.

Capabilities: Dust emphasizes Custom agents on company data, Connectors (Slack, Notion, Drive, GitHub), Multi-model, while Lindy focuses on No-code agent builder, App integrations, Email/meeting automation. Both sets are modern baseline; the real differentiator is depth in specialized areas (e.g., niche integrations, compliance modules, or vertical-specific workflows) that matter for your industry.

Strengths: Dust's standout is connects your data; Lindy excels at no-code. Evaluate trade-offs: scalability vs. simplicity, broad features vs. niche depth, global support vs. regional expertise, and vendor stability vs. innovation pace.

How to decide: both tools are solid. Request hands-on demos with your team, validate integrations with your data stack, and run a sandbox pilot with 2–3 power users. Talk to references in your vertical. The 'best' tool is the one your team will actually adopt and use daily.

DustLindy
Starting price$29/user/mo (Pro)$30/mo
Free tierYesYes
CategoryAI AgentsAI Agents
Best forcompany knowledge assistants, internal automation, ops/supportbusiness automation, AI assistants, ops teams
Starting price compared ($/mo)
Dust: 2929DustLindy: 3030Lindy

Entry prices; free tiers show as 0. Verify current pricing on each site.

Dust

Build custom AI agents on your company's data.

$29/user/mo (Pro)

Free tier available

  • Custom agents on company data
  • Connectors (Slack, Notion, Drive, GitHub)
  • Multi-model
  • Agent workflows
  • Team analytics

Pros

  • Connects your data
  • Multi-model
  • Team-ready

Cons

  • Per-seat cost
  • Setup of connectors
Try Dust →

Lindy

Build AI agents and assistants that automate work, no code.

$30/mo

Free tier available

  • No-code agent builder
  • App integrations
  • Email/meeting automation
  • Triggers

Pros

  • No-code
  • Many integrations
  • Free tier

Cons

  • Setup effort
  • Task credits
Try Lindy →

Verdict: Dust or Lindy?

Dust and Lindy are both AI Agents tools, but they fit different users. Both have a free tier, so you can trial each at no cost before paying. On paid plans, Dust has the lower entry price ($29/user/mo (Pro)). Dust's standout is connects your data. Lindy counters with no-code. Bottom line: choose Dust if you need company knowledge assistants; pick Lindy for business automation.

Frequently asked questions

Is Dust better than Lindy?

Neither is universally better. Dust is best for company knowledge assistants, internal automation, while Lindy suits business automation, AI assistants. Pick based on your use case, budget and integrations.

What is Dust best for?

Dust is best for company knowledge assistants, internal automation, ops/support.

What is Lindy best for?

Lindy is best for business automation, AI assistants, ops teams.

Which is cheaper, Dust or Lindy?

Entry pricing starts at $29/mo for Dust and $30/mo for Lindy (free tiers show as $0 — verify current pricing on each site).

How do I choose between Dust and Lindy?

Request hands-on demos with your team. Test integrations, validate free-tier scope, and talk to reference customers in your industry. The best tool is the one your team will adopt.

Final note: Dust and Lindy are both solid choices—the winner depends on your specific workflow, team size, and integrations. Always verify current pricing and features on each vendor's site. Updated 2026-06-12.

How we rate: ToolGlance scores combine pricing, core features, user-review signals and update frequency, compiled from public sources and vendor documentation — see our methodology. Figures are indicative and change often; always verify pricing and features on the vendor site before buying. Last updated 2026-06-12. Compiled by the ToolGlance editorial team.