Chisl
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Selected work

Built for the point where ideas meet production.

Long-term partnerships where business knowledge and hands-on engineering produce measurable results. Clients are not named, the numbers are theirs.

  • Document processing at scale

    01
    Healthcare
    technology provider

    Reading 4.6 million pages a month so that people don't have to.

    We work as the client's technology partner, building and operating the AI and automation behind its document review platforms.

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    RPAs a day
    3,600
    GPU inference a month
    9mn+
    AI tokens a month
    33bn+

  • Workforce and payroll data

    02
    Large
    employer

    Turning 17 payroll systems into one view of the workforce.

    A single reporting foundation built from 17 separate payroll systems across 73 source organisations, turning fragmented submissions into one validated view of the workforce.

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    Source systems
    17
    Payslips validated
    1.9m
    Companies
    122

  • Credit and lending

    03
    Credit and
    lending provider

    Turning a bank statement into a cashflow report.

    A tool that takes a hard-copy bank statement, digitises it, and turns it into a finished cashflow report, giving reliable insight into credit behaviour when validating originations.

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    Bank formats
    11
    Countries
    3
    Reports generated
    2,300+

  • Enterprise banking

    04
    Corporate &
    investment banking

    From an hour of analysis to answers in seconds.

    The first LLM agent in the bank's corporate and investment banking division. Sales teams ask client and trading questions in plain language, get alerts when activity changes and receive scheduled reports, all tied back to the bank's books and records.

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    Active users
    30+
    In production since
    2025

  • Applied computer vision

    05
    VERIPHY

    Surveying 100,000 hectares of wildlife in five days.

    Our in-house venture builds its own long-range drones and the AI that reads what they photograph, giving reserves a mapped, photographed record of their land instead of an estimate.

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    Hectares in five days
    100,000
    Photos in one census
    1.85m
    Per pixel
    1.3cm