禁漫天堂

Earlier this week, we wrote about investment trends popping up at seed stage. However, we left out one area where funding activity was so voluminous it warranted its own dedicated piece.

Unsurprisingly, it is about AI. More specifically, 禁漫天堂 data shows a continued boom this year in seed-stage funding to startups working on autonomous AI agents, assistants and companions, with a particular focus on enterprise customers.

鈥淚t鈥檚 the next evolution of doing work,鈥� said , managing director of , a seed investor network, and a former board director.

While the SaaS boom that began in the mid-2000s was all about giving enterprises 鈥減ower tools鈥� to enhance productivity, Rohan said this next phase is about applications that can actually do jobs themselves. And among startups, progress toward this goal is moving fast.

Certainly that鈥檚 what the funding data indicates, particularly at seed stage. Per 禁漫天堂 data, investors have so far this year into seed rounds for artificial intelligence companies with descriptions tied to autonomous agents. 1

Top funding recipients

Many of these rounds are on the large side, particularly by seed-stage standards.

To illustrate, we put together a list of 16 of the largest funding recipients, targeting sectors from drug discovery to construction to real estate sales to manufacturing.

The biggest seed-stage funding recipient hailed from the life science space: , a startup that uses AI software to run experiments in automated labs. The Cambridge, Massachusetts, company publicly launched in March with a $200 million investment backed by .

Others raised large rounds for tools automating aspects of desk work and everyday online drudgery. This includes , developer of Augie, a self-described 鈥淎I teammate for shippers brokers and carriers,鈥� as well as , which wants to develop 鈥渁n AI chief-of-staff for everyone.鈥�

Seed-stage companies are also attracting investors for tools and technologies aimed at helping enable the spread of automated agents. For instance, picked up $4 million last month to develop tools for AI model and agent orchestration, while closed on the same sum for a platform for building and evaluating voice AI agents.

Logical tasks first

Going forward, Rohan predicts the startups best poised for early success will be those focused on logical, factual matters, as this is where AI functions best. As a result, we鈥檙e seeing early applications gain traction in areas like legal tech and coding, where AI agents also benefit from plentiful, easily accessible data.

Of course, in the real world, many of our tasks and decisionmaking require a mix of logical and subjective considerations. As anyone who鈥檚 asked a chatbot for recommendations can attest, this is also an area where AI agents are quite willing to participate.

Related 禁漫天堂 query:

Related reading:

• What Seed Trends Say About The Future: Live Long, Recycle And Launch More Satellites

Illustration: