Blok, a technology company focused on improving product development, has officially launched from stealth with $7.5 million in seed funding.
The investment round was led by MaC Venture Capital and Protagonist, with participation from Rackhouse, Weekend Fund, Blank, Correlation, Karman, and experienced investors from top tech companies, including Google, Meta, Airbnb, Pinterest, and Discord.
Blok’s platform uses AI to simulate real user behavior, allowing teams to test digital products before releasing them to the public.
Rethinking Product Testing
Modern digital products are expected to be fast, simple, and personalized. But the process of building them hasn’t kept up. Most teams still rely on methods like A/B testing, which require real users and a lot of time to reach results. For small teams, limited access to user data often leads to decisions based on gut feeling rather than facts. This can lead to products that are slow to adapt, cluttered with features, or fail to meet user expectations.
Blok aims to fix this problem by introducing virtual user simulation. Instead of exposing real users to unfinished features, teams can now observe how AI-generated users interact with different product versions before anything goes live.
How Blok’s Technology Works
Blok uses machine learning trained on real product usage data to build realistic models of user behavior. These virtual users can test how people might move through an app, respond to new designs, or interact with specific features.
Teams can try different flows, see where users may get stuck, and make changes early in the design process, without waiting weeks for enough live traffic.
This is especially helpful for companies that want fast feedback or don’t have millions of users to experiment with. It also supports personalization, as different user personas can be simulated to see how various groups respond to product updates.
Already in Use Across Teams
Teams focused on product, design, and growth are already using Blok to run simulations that help them compare design choices, predict conversion rates, and avoid common UX issues. The result is a faster path to decision-making and a higher-quality product at launch.
Blok’s solution is particularly valuable for the gaming industry, where speed, engagement, and user retention matter most. Developers can simulate player behavior to test game mechanics, tutorials, and monetization systems without needing early access to a large user base.
For fast-moving sectors like multiplayer games and web3 gaming, this kind of AI-powered feedback loop can cut development time and improve launch success.