At the starting of this week we wrote about investment trends appearing at the seed stage. However, we omitted one area in which the financing activity was so extensive that it justified its own dedicated song.
No wonder it’s about AI. More precisely, Crunchbase data show this 12 months a continuous boom in financing of seeds of seeds for startups working on autonomous AI agents, assistants and companions, with particular emphasis on corporate clients.
“This is another evolution of work,” he said Terrence Rohanmanaging director Otherwise the fundNetwork of seed investors and previous Pink Director of the Management Board.
While the Saas boom, which began in mid -2000, consisted in providing enterprises “power tools” to extend performance, Rohan said that the next phase applies to applications that might work on their very own. And among the startups, progress towards this goal is moving quickly.
They actually indicate financing data, especially at the seed stage. Data on Crunchbase, investors have He poured about $ 700 million Until now, this 12 months in seeds of seeds for artificial intelligence firms with descriptions related to autonomous agents. 1
The best financing recipients
Many of those rounds are on the large side, especially in response to Sedna standards.
To illustrate this, we have developed a list of 16 largest financing recipients, directing sectors from discovering drugs to construction for the sale of real estate for production.
The largest fund recipient at the seed stage comes from the scientific space: Lila SciencesA startup that uses AI software to conduct experiments in automated laboratories. Cambridge, Massachusetts, publicly launched in March with an investment of $ 200 million supported by Flagship pioneer.
Others raised large rounds to automate points of desk work and day by day breaking online. It includes IncreaseDeveloper August, self -proclaimed “colleague from the AI team for brokers and forwarding carriers”, as well Yutoriwho desires to develop “the boss of AI-OF-offff for everyone”.
Seed phases also attract investors to tools and technologies to enable the spread of automated agents. For example, Jozo Last month I received $ 4 million to develop tools for the AI model and agent orchestration, and at the same time Phonic Closed with the same sum for the platform for building and evaluation of voice agents AI.
Logical tasks first
Going forward, Rohan predicts that the startups best prepared for early success might be those focused on logical, actual matters, because AI works best in this. As a result, we see that early applications gain adhesion in areas similar to legal technology and coding, in which AI agents also use many easily available data.
Of course, in the real world, many of our tasks and decision making require logical and subjective considerations. As anyone who asked Chatbot for recommendations can confirm, it is also an area where AI agents are very able to participate.