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The AI Native CRM for eliminating manual CRM entry so your reps can focus on selling and the CRM is always up to date

Profound
AI marketing platform for brands.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | clianta.online | digraph.dev |
| Pricing | ||
| Company | — | Startup from the United States · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Clianta.online yet.
Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Clianta.online and Digraph.dev.
Clianta.online's answer
Clianta is AI-native from the ground up, not a bolt-on AI layer over a legacy CRM. Most "AI-powered" CRMs give you a chatbot to ask questions or a button to auto-fill a field. That's still manual. Clianta uses an agentic AI that actually works in the background: it reads your calls and emails, understands what happened, infers the right pipeline stage, and updates everything on its own. No prompts, no buttons, no logging. The CRM updates itself because an agent is doing the work, not because a rep remembered to click something.
Clianta.online's answer
Most CRMs are built for managers to report on, not for reps to actually use. Clianta flips that. It eliminates the data entry burden entirely, so adoption stops being a problem and pipeline data stops being a lie.
Clianta.online's answer
Sales teams who are tired of chasing reps for CRM updates and tired of forecasting on stale data.
Clianta.online's answer
We kept seeing the same problem across sales teams: reps were spending more time maintaining the CRM than selling. The tool meant to help them was slowing them down. We built Clianta to make the CRM update itself.
Clianta.online's answer
LangChain, LangGraph, and a custom AI agent architecture that handles context extraction, pipeline inference, and CRM sync.
Share your experience with using Clianta.online and Digraph.dev. For example, how are they different and which one is better?
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