Clawnify vs Hellomatik: Which is Better in 2026?
We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.
Compare different tools →| Feature | Clawnify Productivity & Automation |  Hellomatik Productivity & Automation |
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| Rating | No reviews yet | No reviews yet |
| Pricing | Contact for pricing as of Sep 30, 2026 | Contact Sales as of Sep 26, 2026 |
| Pricing Model | Paid | Contact Sales |
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| Founded | — | — |
| HQ | — | — |
| Team Size | 2-10 | — |
| Platforms | — | — |
| Top Integrations | — | — |
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| Description | Clawnify is a platform for putting AI agents to work inside a company on real operational tasks — client follow-ups, proposals, CRM enrichment, and other recurring admin — connected to a team's existing tools and guided by the company's own knowledge base, with approval steps where needed. Agents (like its built-in "Nora" executive assistant) can be given instructions, connected integrations, and multi-step flows (trigger → AI step → branch → agent action) built visually rather than coded from scratch. Beyond chat-based agents, Clawnify lets a team turn a spreadsheet or an existing AI-built prototype (like a Claude artifact) into a shared, production-ready internal app with company-login access and connected data, instead of leaving that prototype stuck as a one-off demo. A shared "company brain" keeps the same knowledge base available across ChatGPT, Claude, Gemini, and Grok, so decisions and context captured in one tool are available in the others. It integrates directly with tools like Gmail, Slack, WhatsApp, Google Sheets, Shopify, HubSpot, and Stripe. Notably, core parts of Clawnify's underlying framework (OpenClaw) and several reference apps (OpenCRM, OpenStudio, OpenDesign, OpenSalon) are published as open source, alongside the main paid, hosted platform, which runs on a dedicated server from day one and is billed per company rather than a published flat self-serve price. | Hellomatik deploys AI agents that automate business operations using a company's own data, aimed at automating recurring operational workflows (not just answering questions) by grounding agent actions in the business's actual internal data. It is aimed at operations teams that want AI agents to actually execute recurring operational tasks using real company data, not a generic chatbot layered on top. |