Three big investments in AI agent startups happened this week, and they all tell the same story: companies want to use smart artificial intelligence to help with work, but they need better tools to make it happen.

Trace Solves the AI Agent Problem

A startup called Trace just raised $3 million in seed funding to solve one of the biggest problems with AI agents. The company is from London, England and was selected by Y Combinator, which is a very famous startup helper program. The problem that Trace is fixing is this: companies have access to really smart AI tools made by OpenAI and Anthropic, but they don't know how to use them in their own business.

Tim Cherkasov is the CEO of Trace, and he explained it perfectly. He said OpenAI and Anthropic are creating "brilliant interns" (meaning very smart AI agents), and "We're building the manager that knows where to put them." What this means is that Trace helps companies understand their own business so they can tell the AI agents exactly what to do.

Here's how Trace works: First, it builds something called a knowledge graph by reading through all the software a company uses every day - like email, Slack, and Airtable. This helps Trace understand how the company works. Then when someone asks Trace to do something big - like "We need to design a new website" - Trace creates a step-by-step plan that tells which tasks the AI agents should do and which tasks humans should do. This is much better than just turning an AI agent loose without giving it the information it needs.

Trace got funding from several important investment groups including Y Combinator, Zeno Ventures, and Goodwater Capital.

Potpie AI Makes Code Better with AI

Meanwhile, Potpie AI in San Francisco, California in the United States announced a $2.2 million pre-seed investment in February 2026. Pre-seed means this is very early money for a young company. Potpie AI is building something called a context layer that helps AI agents understand large computer programs and make them better.

Potpie AI was started by Aditi Kothari and Dhiren Mathur. Their idea is to help companies that have millions of lines of computer code. For example, some companies have 100 million lines of code, which would take humans a very long time to understand. Potpie's AI agents can look at all that code and help find problems, write tests, and even design new parts of the system.

Some very big important companies are already using Potpie, including Fortune 500 companies and banks. The money from the investment will help Potpie hire more engineers and make their AI agents even smarter.

Guidde Teaches Humans and AI Together

The largest investment this week went to Guidde, a company from Israel that just raised $50 million. This is called a Series B investment, which is later-stage money for companies that already have customers and are growing fast.

Guidde is solving a different but related problem: when companies get new software, both the people working there AND the AI agents need to learn how to use it. Guidde does this by letting employees record videos of how they do their jobs. The company's AI then automatically turns these videos into step-by-step instructions and written guides. Employees can watch these videos to learn, and AI agents can read the instructions to understand how to automate the work.

Yoav Einav, the CEO and founder of Guidde, compared it to how map apps work. He explained: "They mapped roads by watching how people drive, and those maps now guide self-driving cars. We're doing the same for business work." This means Guidde watches how people work and builds maps that AI can follow.

Guidde already works at huge companies like Anheuser-Busch (a beer company), Bayer (a medicine company), Nasdaq (a stock market), and Yahoo. The company has over 4,500 customers total and grows its sales by 3 times every year. The company watches how work happens across more than 50,000 different business applications.

Why This Matters

All three of these companies - Trace, Potpie AI, and Guidde - are trying to solve the same problem: AI agents are very smart now, but businesses don't know how to use them safely and correctly. These startups are building the knowledge, instructions, and tools that make it possible for regular companies to use AI agents successfully. The fact that so much money is being invested in these companies shows that businesses around the world believe AI agents will become very important for doing work in the future.