You adjust it in 30 min (not the vendor)
TalquiAnyone on the team changes the AI's behavior — with no 15-to-60-day onboarding.
vs

Choosing an AI agent means deciding who runs the relationship with your customer — you can't outsource that to a black box. Talqui trains support AI in real operations and delivers an agent your team can adjust, teach and monitor.


control of the AI with your own team
for an AI change to take effect — you in control
of human support, with AI that learns by itself
An AI agent runs the relationship with your customer — so you need to understand how it works, change behaviors and track results on your own. On Cloud Humans, the one piloting the AI is their team: its evolution depends on a long onboarding and a Results Incubator run by the vendor. It may deliver results, but you can't see how — and you end up locked in to whoever operates the black box, with a cost that only grows to keep it running.
It's worth remembering where Cloud Humans came from: it started as a marketplace of human agents and only later became AI. That DNA remains — the logic is to add more people to your operation, not reduce them. Talqui does the opposite: years training support AI in real operations so the AI does the work and your team stays in control.
Where there's parity, it's parity. The difference is maturity, control and transparency.
| Criteria | Talqui | Cloud Humans |
|---|---|---|
| Origin and focus | TalquiYears training support AI in real operations | Cloud HumansStarted as a marketplace of human agents; became AI later |
| Who controls and evolves the AI | TalquiYou — anyone adjusts it, in up to 30 min | Cloud HumansThe Cloud Humans team (15–60 day onboarding + Results Incubator) |
| Transparency (not a black box) | TalquiYou see what the AI learns and why | Cloud HumansEvolution driven by the vendor |
| AI that learns by itself + handoff | TalquiLearns from daily use and handoff — cuts up to 60% | Cloud HumansClaudIA resolves 65–85% of volume |
| Multichannel | TalquiOn every Talqui channel | Cloud HumansOmnichannel (WhatsApp-first) |
| Integration with your systems (API) | TalquiEasy, via API | Cloud HumansVia API/MCP and helpdesks (Zendesk/Intercom) |
| Proving results | TalquiA meeting to see real clients and operations | Cloud HumansPublished cases and logos |
On Talqui, anyone on your team adjusts the AI's behavior, teaches it and sees what it learns — with no need for a heavy technical team. You understand how the AI decides, fix it on the spot, and the change takes effect in up to 30 minutes. No black box, and no dependence on consulting.
And the AI doesn't sit still: it learns from daily use and from every human handoff — what the agent does when taking over becomes knowledge for the next conversation. That's how it cuts up to 60% of human support, generating insights all the time.
See how Talqui compares to other alternatives — or book a meeting and see the AI working live.
Maturity, control and continuous learning — with live proof, not just logos on a page.
Anyone on the team changes the AI's behavior — with no 15-to-60-day onboarding.
You see what the AI learns and why, and fix it on the spot.
Evolves with daily use and the human handoff, cutting up to 60% of support.
The AI takes on repetitive work so your operation grows without bloating the team — not to add more agents.
The questions from people choosing an AI agent for support.
On Talqui, you do. Anyone on the team creates procedures, teaches, monitors what the AI learns and changes the behavior, taking effect in up to 30 minutes. On Cloud Humans, the evolution goes through their team (15-to-60-day onboarding).
Instead of just logos on a page, we show Talqui working — the platform, the AI agent and real operations (with consent).
