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Revolution or Hype? Meet the AI Agent That’s Automating Invoicing for Thousands

 



French startup Twin has introduced its very first AI-powered automation tool to help business owners who use Qonto. Qonto is a digital banking platform that offers financial services to companies across Europe. Many Qonto users spend hours each month gathering invoices from different sources and uploading them. Twin’s new tool does this job faster and with almost no effort from the user.

The tool is called Invoice Operator. It has been designed to save time by automatically finding and attaching invoices to the right transactions in a Qonto account. This means users no longer have to search for documents themselves or waste time uploading files manually.

Usually, companies use tools like Zapier or software like UiPath to automate tasks. These tools often need coding knowledge or work through complex scripts that break if a website changes. Twin uses a smarter method that copies how a person uses a web browser but with the help of artificial intelligence.

Here’s how Invoice Operator works: when a Qonto user starts the tool, it first checks which transactions are missing invoices. Then it opens a browser and prepares to visit the websites where invoices might be stored. If a login is required, the tool will stop and ask the user to enter their username and password. After logging in, the AI continues its job— finding the needed documents and uploading them to Qonto automatically.

This method is useful because businesses often use many different platforms to make purchases. It would be too difficult and time-consuming to write special instructions for each website. But Twin’s technology can handle thousands of services without needing extra scripts.

The tool is powered by an advanced AI model developed by OpenAI, which allows the software to operate a browser in the same way a person would. Twin was one of only a few companies allowed to test this AI model before it was released to the public.

What makes Twin’s tool even more helpful is that it’s very easy to use. Business owners don’t have to understand coding or set up anything complicated. Once logged in, the AI handles the process without further input. This makes it ideal for people who want results without dealing with technical steps.

In the long run, Twin believes its technology can be useful for many other tasks in different industries. For example, it could help online stores handle orders or assist customer support teams in finding information quickly. 

With this launch, Twin is showing how smart automation can reduce boring and repetitive work. The company hopes to bring its AI tools to more people and businesses in the near future.



Doppl: The Latest AI Twin Product is About to Transform the Future Of Digital Branding

 

Self replication, once the stuff of science fiction, is now a reality thanks to artificial intelligence, and the recently unveiled AI twin product Doppl is changing the game in terms of our digital selves. 

Doppl will create AI twins—very accurate, highly personalised, and interactive representations of people in a variety of mediums, including audio, text, photo, and video—by fusing artificial intelligence with blockchain technology. 

By giving the tool access to interactions and discussions, AI-powered data collecting can be accomplished both passively and actively. The latter method typically involves gamification. However, and this is important, all data will be encrypted and secured via blockchain, ensuring that ownership of the data remains firmly with the user. 

Doppl is the creation of the team behind the all-in-one Web3 platform Exclusible, and Thibault Launay, co-founder of Exclusible and a serial entrepreneur and business angel, serves as CEO. 

“The convergence of generative AI with the vast amount of personal data we produce every day enables us to create a new kind of personal digital artifact—your digital self—which is your own AI simulated version of you,” Launay said during an interview.

The first emphasis will be on text and voice, but also on what truly distinguishes a person, and the team is collaborating with psychologists to replicate how a specific individual thinks and feels. 

“Doppl is about having a clone that thinks like you, that answers like you, that talks like you, that understands the difference between professional conversations and more informal ones,” he explained. “It's not a better version of you—it is you.” 

He continued, saying that the adoption of blockchain is essential since AI clearly requires a lot of personal data. "It provides security and privacy through zero knowledge proof cryptography; Doppl does not own or use your data in any way, and your data never leaves your device." Simply put, you are the only person with access to and control over all of your data, which means that you are the exclusive owner of it. 

Doppl's overarching goal is to produce "a natural evolution of our online presence," according to Launay, who compares it to a more advanced version of social media platforms like Instagram, TikTok, or Facebook. But what's initially piquing interest are the possibilities for personal branding when intellectual property can be used commercially. 

Doppl has announced its first partnership with Royaltiz as part of today's launch, a platform that enables users to invest in the professional sporting careers of their favourite athletes.

Over 170 athletes are represented in the portfolio of Royaltiz, a platform with over 120k users. Some of them, according to Launay, have already expressed interest in using Doppl's technology, such as Khabib Nurmagomedov, Vinicius JR, Eduardo Camavinga, Antoine Dupont, and Daniil Medvedev.

The most recent game-changer in the space is the neural language model chatbot programme Character.AI, which can create dialogue in the manner of numerous characters, real or made-up, like Tesla's Elon Musk or Nintendo's Super Mario. Character.AI, established by two Google alumni, received approximately $150 million in investment in a Series A funding round, which set its worth at $1 billion. The round was led by venture capital company Andreessen Horowitz (a16z).