Aim is building an AI agent for business briefing. It combats FOMO and information overload.

Do you also have dozens of hours of podcasts on your to-do list and realize, while skimming Twitter, just how much you’re missing? But where’s the time to keep up with everything? And even when you do invest the time, it often isn’t efficient—those dozens of hours of podcasts and hundreds of articles may only contain one piece of truly important information. Yet that one insight can be crucial for your business. Classic FOMO.

“To stay in the loop, you’d often need a full-time personal analyst,” explains Michal Najman, founder of Aim. “Relevant information is scattered across platforms, podcasts, and languages. Plus, algorithms are optimized to capture as much of our attention as possible, not to deliver the most relevant info in the shortest time. That’s where we see a huge opportunity for Aim. You don’t need a full-time analyst or 100 hours a month to stay informed.”

Aim is an AI agent for continuous business briefing, tailored to the user’s context. “A key customer group for Aim is startup founders or simply business owners. They need to know what’s happening in their space, but absolutely don’t have time to monitor everything. A benchmark from a competitor, casually mentioned in a small podcast in German, can radically improve how they think about their business—or move it in a smarter direction,” says Najman.

Aim is currently in private beta, already with paying clients among VCs and startups. “We’re building the best AI agent for business briefing. It has many components that go far beyond a simple GPT wrapper. For example, we’re solving classification tasks—evaluating whether a given piece of information belongs in a particular customer’s context. That’s not something you can prompt,” explains Najman.

Miton joined the project pre-launch as a founding investor. They invested €300,000, and Miton founding partner Tomáš Matějček will be involved in the product’s development. He also oversees Rohlik, Rossum, Sense Arena, and Graet within Miton’s portfolio.

“We wanted an AI analyst that precisely understands each of our contexts—and crucially, one that gets better over time within each topic. About a year ago, we met Michal Najman. Back then, Aim’s MVP was already using LLMs in a very interesting way. So we started iterating together until the current form of Aim began to take shape,” says Tomáš Matějček.

Q&A: What does Aim read and listen to?

• News, market data, and reports
• Social networks, forums, and niche but important sources for specific industries
• Podcasts and newsletters
• Activities of competitors, customers, or companies the client is targeting
• Opinions and news from people who influence the sector (opinion leaders)

How is Aim different from Deep Research functions?

Deep Research is great for diving into a new topic. And it’ll be even better once you connect your favorite LLM chatbot with your inbox or other sources of your personal context.

Aim, on the other hand, excels at ongoing briefing within a topic. The more you collaborate with it, the more relevant its outputs become.

Why is it better than social networks?

Even though TikTok or Google might know you better than your parents or your dog, their goal is to keep your attention as long as possible. That’s not great. 

Aim doesn’t care about the time spent together. Its goal is to deliver relevant information as quickly as possible, then let you get on with your life.

Case Study: Aim for Miton AI Newsletter

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