AI-powered code tools such as cursor, replication, Claude code and Aminda help developers write many lines of code daily to ship products faster. However, manufacturers of the applications still have to rely on whether by sending full beta versions of their programs or using a simulation program to evaluate how upcoming functions will work.
BlockA company that comes out of stealing allows developers to use AI to simulate different using people to test the features of an app and learn how to improve their programs.
The company was founded by Tom Chaman and Olivia Higgs in 2024. Both were serial entrepreneurs and also worked on beginners together in areas including Traveling And learning.
To date, the startup has earned $ 7.5 million through two rounds. Its seed about $ 5 million was led by Mac Venture Capital, with participation of people working at Discord, Google, Meta, Apple, Snapchat and Pinterest. Blok’s pre-seed circle was with a protagonist with Rackhouse’s participation, Ryan Hoover’s weekend fund, and Blank Ventures.
Marlon Nichols, managing GP at Mac Venture Capital, said Blok is often compared to OttpTimizly and scope, but these tools are more reactive. He said Blok pulls them out by providing a predictive layer of testing for programs.
“We have supported Blok because we believe product development is at an inflection point. Teams send faster than ever, but they still make critical decisions based on A/B testing and intestinal instincts.
Higgs said the need for testing increases as the complexity of interfaces has increased over time. She mentioned that they interviewed more than 100 product engineers to understand problems faced by product teams.
“There is a real need for increased testing because the bar for visual interfaces are much higher. We see people interact with technology by chat, by voice. So if you introduce visual UI [elements] In the mixture, you need to make sure that you do not introduce unnecessary friction into the flow of user work, “she said.
Chaman said both large and small companies face different problems. While small companies do not have cohorts to test their products and get live feedback, big companies want to avoid filling functions into their programs and make them clumsy.
“We are trying to get to a place where companies do not need to release their functions experimentally and wait a few weeks or months to bring out results,” he said.
When a client starts working with Blok, they upload their event government data from scope, mixpanel or segment. Blok then performs behavioral modeling and creates different user people for testing manufacturers. These people would roughly cover most of the app’s user base.
Then the development team submits a Figma project and experimental details – including the hypothesis they want to test and the user goal they want to achieve – for block, and the user personal agents then try to run the simulation many times. In the end, Blok will show insights into how users would use a separate function and give recommendations.
These insights include a general account of the experiment and details of what went well and what could be improved. Teams can also look at a personal-wise report and suggestions. Moreover, because it is 2025, there is a chat boot that you can ask for questions about your experiment.
Blok put its product behind a waiting list and works with an initial set of customers, mostly developing solutions in finance and health care. The startups said these areas are ideal for targeting because they cannot exhibit bad experiments publicly and play around with the product.
The startup charges companies with a SaaS model, but it also calculates how to balance computer costs. The company aims to hit mid-one-digit millions in revenue this year and open to more customers.
