Abstract provides real-time policy intelligence using AI

In the United States, the rapid growth of legislation at federal, state, and local levels has overwhelmed businesses, making it nearly impossible to monitor and adapt to policy changes. Since the early 2020s, the volume of federal restrictions has significantly increased, growing from approximately 400,000 restrictive words in the 1970s to over one million today. In response to this ongoing challenge, the founders of Abstract, including Utz, Mohammed Hayat, and Matthew Chang, aimed to create a solution that democratizes access to government data. They designed AI agents that interpret and predict the implications of legislative changes similarly to human policy analysts, but at a much larger scale. Abstract’s innovative approach involves ingesting and enriching data, which is then processed by large language models (LLMs) to generate contextualized responses. This capability allows businesses, such as law firms, to assess the regulatory landscape and make strategic decisions about where to open new offices based on detailed compliance, taxation, and other relevant laws. The founders’ personal backgrounds motivated them to launch this initiative, as they experienced first-hand the detrimental effects of opaque government policies in their home countries. One of the company's primary missions is to simplify the complexities of the ever-expanding legislative landscape. As the policy intelligence market grows, Abstract aims to differentiate itself by providing context that few competitors, such as FiscalNote and Quorum, offer. By transforming how businesses engage with government regulations, Abstract envisions a future where access to transparent governmental data empowers organizations to mitigate risks and leverage opportunities more effectively. Furthermore, discussions within the tech community about agentic AI have heightened interest in such solutions, as stakeholders recognize the potential of AI to operate with human-like reasoning capabilities. Looking ahead, the founders expressed aspirations for international expansion, aiming to broaden the impact of their AI-driven insights beyond U.S. borders. This global ambition underscores their commitment to improving access to governmental information while enhancing the ability of businesses to navigate the convoluted and expanding seas of regulations that characterize the modern governance landscape.