| Feature | Hellomatik | Lindy AI |
|---|---|---|
| Free Plan | ✗ No | ✓ Yes |
| Pricing | Contact for Pricing | Free / $49/mo |
| Rating | ★★★★☆ 4 | ★★★★★ 4.6 |
| Key Feature 1 | Company blueprint of | No-code agent builder |
| Key Feature 2 | AI agents that | Email triage and |
| Key Feature 3 | Approval log that | Meeting intelligence |
Reach buyers comparing Hellomatik and Lindy AI. High-intent traffic, direct conversions.
Lindy AI edges out Hellomatik on user ratings (4.6 vs 4 out of 5), though both remain solid choices depending on your priorities. Lindy AI offers a free plan, making it the lower-risk option to try first — Hellomatik starts at Contact for Pricing. Hellomatik tends to be favoured by operations and logistics, while Lindy AI is more popular with marketers and startups.
Operations automation platform that reads a company's ERP, CRM, email and other systems into a shared blueprint, then has AI agents prepare … Read the full Hellomatik review →
Lindy AI is a no-code AI agent builder for creating personal and business automation agents — Lindy can manage your inbox, schedule meetings… Read the full Lindy AI review →
• Every agent proposal goes through a human approval step and is recorded, which suits finance and purchasing work that has to be auditable
• Connects to the systems a company already runs instead of asking it to move its data somewhere new
• A correction made once can update the underlying procedure, so similar decisions improve without being fixed one by one
• Pricing is quote-only, so there is no public way to compare cost before talking to the vendor
• Aimed at established operations teams with repeatable, data-heavy processes rather than individuals or very small teams
• No code required to build agents
• Proactive — acts without being prompted
• Great for email and calendar automation
• Multi-agent delegation is powerful — especially for no-code agent builder workflows where Lindy AI consistently outperforms manual approaches
• Free / $49/mo puts it out of reach for individual users and very small teams on tight budgets
• Agents need tuning to avoid over-automation