Peregrine

The following is a detailed overview of Peregrine, including the company’s products and their capabilities and capacities.

This is mostly collected via open source research and will be updated over time. Please contact us at sassisouth@proton.me if you would like to contribute to this.

  • Peregrine is Palantir-lite.

    Peregrine has constructed a similar software to Palantir because Nick Noone, who founded Peregrine in 2017, is a former Palantir employee.

    Peregrine is similar to Palantir but its primary customer base are local police departments. Peregrine is also similar to Google as it provides a simple search function for police to access a huge volume of police data.

    Peregrine provides a single point of access for police to integrate, view, and analyze disparate datasets gathered from a variety of sources like other surveillance tech (like ALPR data, gunshot detection data, etc), record management systems, and computer aided dispatch systems. Peregrine claims to use machine learning technologies to identify patterns and trends using different types of analyses including network mapping, spatial mapping, and other charts to give police “actionable insights.” The company is clear that it does not create new data for its customers but organizes and integrates existing datasets in ways that enable agencies to make decisions.

    Peregrine describes itself as a Platform-as-a-Service (PaaS) company.

    Funding

    1. On May 1, 2024, the company announced a $30 million Series B funding round led by Friends & Family Capital and Fifth Down Capital with participation by existing investors Goldcrest Capital, Craft Ventures, Godfrey Capital, and other committed partners. 

    2. May 23, 2022: Peregrine Technologies raised $21,115,291 / Series Unknown

    3. Feb 15, 2020: Peregrine Technologies raised $7,000,000 / Series A fromCraft Ventures and3 other investors

    4. Jun 10, 2019:Peregrine Technologies raised $1,000,000 / Seed from Goldcrest Capital

    5. Jun 10, 2018: PeregrineTechnologies raised $1,000,000 / Seed from Matt Kraning and 2 other investors

    For more detail on Peregrine:

    1. Overview of Public Safety Data Integration for the Antioch Police Department (October 1, 2020)

    2. Huntington Beach Police Department signed contract (April 6, 2023)

    3. Peregrine for Huntington Beach PD Presentation

  • Unlike other surveillance technologies, Peregrine is not a tool for direct monitoring of people. Peregrine’s primary harms are based in the software’s ability to integrate multiple surveillance technologies into one interface which compounds the violence of these individual tools into one system of mass surveillance.

    The power of Peregrine to integrate disparate datasets for police use intensifies the already significant power asymmetry between criminalized people and police.

    Peregrine software is often utilized at “real time crime centers” or hubs where police integrate all of their surveillance technologies. Real time crime centers are similar but not identical to “fusion centers” as they are designed for intelligence gathering and sharing. The presence of Peregrine or a real time crime center encourages police agencies to adopt more surveillance technologies as a “force multiplier.” This furthers the growth of mass surveillance and the dedication of public funds to more surveillance technologies.

  • The company offers one product but to different customers, its platform for integrating different datasets and surveillance technologies.

    How it Works

    Peregrine integrates different datasets which the company distinguishes into three categories:

    1. Agency data

      1. Case data

      2. Calls for service

      3. Field interviews

      4. Arrest records

      5. Incarceration records

      6. NIBIN, N-dex

    2. Sensor Data

      1. Cameras, drones, ALPRs, gunshot detection, AVL

    3. Single Use Data

      1. Call detail records

      2. Mobile pings

      3. Technology warrant data (social media)

    The company integrates these datasets, cleans the data, organizes it using different types of analyses, and visualizes it for the end user. The system is vendor agnostic and fully interoperable. The manner in which the data is organized enables users to perform different types of searches.

    The company describes the software as being “walk-up usable” meaning anyone, no matter the technical background, can use it immediately and can maximize the functionalities of the system with more experience and training.