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§ Private Profile · San Francisco, CA, USA
AI software provider developing tools to automate police reporting and administrative workflows for law enforcement agencies.
Abel Police has raised $5.0M across 1 funding round.
Key people at Abel Police.
Abel Police was founded in 2024 by Daniel Francis (Founder).
Abel Police has raised $5.0M in total across 1 funding round.
Based in San Francisco, California, Abel Police develops artificial intelligence software that automates administrative workflows and paperwork for law enforcement agencies by converting body-worn camera footage and dispatch data into completed reports. The company operates as a business-to-government software-as-a-service provider, offering additional features such as Criminal Justice Information Services-compliant chat functions and citizen online reporting portals. Operating with a dedicated team of five employees, the startup has successfully raised $5 million in total seed funding to date. The enterprise is backed by notable institutional investors including Y Combinator, Day One Ventures, and Long Journey Ventures. Its technology is currently deployed with municipal clients such as the Richmond Police Department, enabling patrol officers to review and edit machine-generated draft documents rather than writing them manually. Abel Police was officially founded in 2024 by Daniel Francis.
Key people at Abel Police.
Abel Police was founded in 2024 by Daniel Francis (Founder).
Abel Police has raised $5.0M in total across 1 funding round.
Abel Police's investors include Costanoa Ventures, Fram Venture AS, Greenlight Re, Spark Capital, Y Combinator, Kris Riise.
Abel Police has raised $5.0M across 1 funding round. Most recently, it raised $5.0M Seed in October 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 1, 2024 | $5M Seed | — | Costanoa Ventures, Fram Venture AS, Greenlight RE, Spark Capital, Y Combinator, Kris Riise | Announced |
Abel Police is a police technology startup that automates the time-consuming paperwork process for patrol officers by converting police body camera footage into completed police reports. This innovation addresses a critical inefficiency where American patrol officers spend about one-third of their shift writing reports, effectively reducing their active policing time. By eliminating this paperwork burden, Abel Police aims to increase the effective police force capacity by up to 50%, potentially transforming law enforcement operations in U.S. cities. The company offers a turnkey solution that requires no data migration and can be deployed rapidly within police agencies[1][3][5].
Founded in 2024 and based in San Francisco, Abel Police serves law enforcement agencies, focusing on improving officer efficiency and public safety through AI-driven automation. Their product suite includes AI tools compliant with criminal justice information standards (CJIS), integrating policy manuals and facilitating online reporting for citizens and records staff. The company is positioned at the intersection of AI, public safety, and government technology, contributing to the modernization of police workflows and the broader startup ecosystem by introducing cutting-edge AI applications in law enforcement[2][5].
Abel Police was founded in 2024 by Daniel Francis, a software engineer with prior experience in building and selling a fitness app, who shifted his focus to police technology. The idea emerged from recognizing the significant time officers spend on paperwork, which detracts from their core duties of serving communities and saving lives. Early traction included participation in Y Combinator’s Summer 2024 batch, which helped accelerate product development and market entry. The company quickly gained attention for its potential to radically improve policing efficiency by automating report writing directly from body camera footage, a pivotal moment that underscored the practical impact of their AI technology[3][4].
Abel Police rides the wave of AI-driven automation and digital transformation in public safety, a sector historically slow to adopt new technologies. The timing is critical as police departments increasingly rely on body-worn cameras, generating vast amounts of data that require efficient processing. Market forces such as rising demands for police accountability, cost reduction, and operational efficiency favor solutions like Abel’s. By automating paperwork, Abel not only improves officer productivity but also influences the broader ecosystem by setting new standards for AI application in government services and public safety technology[1][2][4].
Looking ahead, Abel Police is poised to expand its footprint across the estimated 18,000 police departments in the U.S., scaling its AI toolkit to become a standard in law enforcement operations. Trends shaping its journey include increasing adoption of AI in government, growing emphasis on data-driven policing, and the push for transparency and efficiency in public services. Abel’s influence may evolve from a paperwork automation tool to a comprehensive AI platform for law enforcement, potentially integrating predictive analytics, real-time decision support, and enhanced community engagement features. This trajectory aligns with its mission to save time and save lives, fundamentally reshaping policing in American cities[4][5].
