Chatbot | Talqui
Success story — How we helped Synknet cut support tickets by 60%Read more
Chatbot

Self-Learning Agents: The End of Complex Flowcharts

No more configuring manual flows. Our AI analyzes your history, learns from real operations, and resolves tickets automatically. Test the evolution of support.

The Era of Dumb Chatbots Is Over: Meet Self-Learning Agents

For years, companies were forced to choose between limited keyword-based chatbots or hiring armies of human agents. Configuring a traditional bot required months of work to design complex flowcharts that, in practice, frustrated the end customer.

We Deliver Results, Not Tools

Talqui introduces Self-Learning Agent technology to the market. Our proposal is to sell the result of the support, not the chat tool. This means you don't need to "teach" everything to our AI; it learns by observing.

How Does the Artificial Intelligence Learn?

The onboarding process is revolutionary: we connect the AI to your history of past conversations. Using advanced LLM (Large Language Models) and RLHF (Reinforcement Learning from Human Feedback) techniques, the agent analyzes how your best employees answer frequent questions, sales objections, and technical problems.

Initially, the agent operates in "shadow" mode, suggesting answers for your human agents to approve. With each approval, it gets smarter. In a short time, it reaches a level of confidence that allows it to take over support directly, resolving complex problems with a naturalness indistinguishable from a human.

Accessible to Everyone

This removes the barrier to entry for companies without dedicated tech teams. If you have a support history, you have a Talqui Agent ready to be born. Reduce operational costs, eliminate wait times, and offer 24/7 support without increasing your payroll.


1. Onboarding via History (Zero Setup)

Talqui's biggest differentiator.

Reading Past Conversations

Don't start from scratch. Our AI ingests thousands of your company's old conversations to understand your "tone of voice," your exchange policies, and your technical answers.

Answer Suggestions (Copilot)

In the first days, the AI acts as a "copilot," suggesting answer drafts for your humans. This trains the model with zero risk to the operation.

2. Reinforcement Learning from Human Feedback (RLHF)

Learn from daily operations.

Knowledge Curation

If the AI makes a mistake, your agent corrects it. The system "learns" the correction instantly and doesn't make the same mistake next time. It's the continuous evolution of support.

Dynamic Knowledge Base

You can upload PDFs, manuals, and links from your site. The AI reads these documents and uses them to formulate precise answers, citing the source when necessary.

3. Personality and Tone of Voice

Persona Adaptation

Define whether your agent should be formal, casual, technical, or salesy. The AI adapts the vocabulary and use of emojis to perfectly reflect your brand's identity.