BTOB oriented, the reference platform 70 million companies around the world. It is primarily positioned in France but does not refrain from targeting foreign companies.
French publisher of a SaaS commercial prospecting platform, the French Tamtam completes its first fundraising. Up of 3 million euros, it is led by the Varsity Fund accompanied by Kima Ventures and several Business Angels, including Romain Niccoli (Criteo and Pigment co -founder) and Frédéric Kingue (Manager France and South Europe of Contentsquare).
Founded in early 2024, Tamtam articulates its offer around a solution based on AI agents designed to help the sales teams find profiles. “A salesperson spends about 70% of his time carrying out research and 30% in customers. Our goal is to reverse the trend,” explains Edouard EPAUD, CEO of Tamtam.
Positioned in the BTOB sale, the reference platform no less than 70 million companies around the world. A mass of information consolidated from data gleaned on the Internet: companies’ websites, articles published on them, activity reports, Linkedin data from employees, audio or video interviews of managers … “We make a mapping from a simple customer database to identify companies with equivalent profiles”, explains Edouard EPAUD.
The total accessible online market of sight
The process leads to the total accessible market (or TAM hence the name of the company Tamtam). Tam reflects prospects that have the highest potential. Within this cartography, the platform segmente and isolates in a second step the targets with high added value, to the decision -makers, depending on multiple criteria fully configurable and structured in organization chart. “This second mapping will make it possible to control the purchasing decision chain and avoid the dead angles by identifying the ideal buyer profile,” insists Edouard EPAUD.
From this selection, a search engine comes into play to allow salespeople to refine their knowledge of companies to target. “Depending on the problem and market context, we can ask very diverse questions. How many stores has a retail brand? What is the importance of its sales teams? What is their distribution by country? What is the traffic of the Society website? What was the last product launch? Etc.”, Egouard EPAUD.
Downstream, Tamtam supports the salesperson in the preparation of his interviews by providing him with information on the people with whom to make an appointment. He also provides him every day a press review on the companies he follows by selecting the articles with regard to what he sells. When a salesperson displays between 100 and 200 actors in the portfolio, it is an exercise that he almost cannot do manually. Hence the interest of automating it.
“Thanks to our global business base, we help French companies to be deployed internationally”
In slides, many AI agents enter into action. Upstream, an agent intervenes to identify “SOSIE companies”. Then, an agent will make a mapping of companies in order to identify the subsidiaries. A third will identify the role of people to be asked for the preparation of interviews. He will analyze what they posted on social networks, their personal information available on the Internet … The objective is ultimately to have all data to establish a relationship of trust.
Unlike generalist Chatgpt -like agents, the agents developed by Tamtam are focused on business information. With this in mind, they are based on historical and prioritized data in terms of importance. For example, the interview of a CEO will be preponderant compared to other data. Then the agents of Tamtam are trained according to a task to be accomplished. The mapping agent between the Tamtam business base and the customer’s base will for example be trained to identify the most relevant rapprochements. Finally comes the orchestration phase of agents.
In terms of orchestration, the meeting agent of the meeting will call on several third-party agents. The first will identify the characteristics of the interlocutors (s) with which to contact. The second will bring together information on the target company as a whole. A third will matche this data with content raised by another agent cut to identify the value proposal sold by the user salesperson for the solution. Final objective: to achieve a brief with the key points to be tackled during the interview.
Twice as many prospecting results
With its fundraising, Tamtam has advanced its team from three to twelve people both on the sales front and R&D. “Our first investment is made in the human,” insists Edouard EPAUD who already claims more than thirty customers to his credit.
With companies from a few salespeople up to fifty among its customers, Tamtam already displays many references including Freeda, Lesbigboss or Spacefill. “Thanks to our business base which is global, we help French companies to deploy internationally. An actor as a weekend has, for example, use our solution to reply to the United Kingdom its French success”, specifies Edouard EPAUD. “For the time being, we are not planning to deploy abroad. This does not prevent companies from other countries, such as Mixpanel or Catlabs, to use our offer given its perimeter.”
Tamtam primarily intends to target salespeople on complex issues by covering the entire sales cycle. “We have in our roadmap future features on the entire commercial process, from prospecting to the execution of deals, including interviews. These features aim to enrich our AI with ever more data, but also to develop our collaborative capacities, salespeople often working in teams. It is also a question of refining our orchestration capacities, in particular via connection to CRM applications or Audio chatbot interfaces, for example to make automated debriefs at the end of the appointment, “says Edouard EPAUD.
With hunter -type salespeople as well as the online account managers, Tamtam already highlights KPIs. In some cases, its customers record twice as much prospecting results, in particular thanks to better targeting and better relevance in the sale argument.
