Modern AI

    Modern AI / Truth Layer

    Free read

    For leadership teams

    Your buyers ask AI before they reach you. See who it picks, and what that is worth.

    One free read, written for your leadership team. We ask ChatGPT and Google's Gemini what your buyers ask, read what your customers say in public, and size the prize for a company like yours.

    About 30 seconds · No signup · Your website makes sure we read the right company

    One read, four outcomes

    Read from a live scan of your brand, with the math shown.

    01 · Seen

    Be the brand AI recommends first

    Who AI picks when your buyers ask about your category, and how often it is you.

    Delivered by Modern Discovery™

    02 · Trusted

    Answers about your business you can defend

    Certified answers to your leaders' questions, and a path to agentic BI that in many companies retires much of the view-only BI seat spend.

    Delivered by Modern Gravity™

    03 · Experienced

    Keep customers coming back

    The moments customers say break, with the public source for each one.

    Delivered by Modern Friction™

    04 · Understood

    Know what your next AI investment needs

    Five readiness questions that show which groundwork your next AI investment needs.

    Delivered by Structured Services

    Example read · fictional brand

    Harbor & Pine was AI's first pick in 1 of 8 answers. AI picked two rivals more often.

    Read as: Apparel & Specialty Retail · DTC · $50M to $250M revenue

    Size of the prize

    $2.4M to $3.7M*

    Modeled yearly gross-profit scenario across four outcomes, at year-two run rate, for $150M revenue. Low case to base case, before fees and delivery costs.

    Value in months, not years

    We start from the questions your leaders already ask, AI builds the shared definitions quickly, and your people check every one. That is why the yearly benefit can start in months, not the years a traditional data-governance program takes.

    Example math: $150M revenue gives $2.4M to $3.7M of modeled yearly gross-profit scenarios across four outcomes, before fees and delivery costs. In this example AI picked Harbor & Pine first in 1 of 8 answers, recommended it in 3 and mentioned it in 6. These are illustrative gross-profit scenarios, not results for a real company, a forecast of net profit or a guarantee.

    *Seen in companies similar to yours across hundreds of projects. Harbor & Pine is not a real company. Your read uses a live scan of your brand to rank the outcomes. The dollar figures are modeled from your revenue band, with the math one tap away.

    Built by an operator

    Two decades running data and AI inside large companies

    5

    Major enterprises

    Carter's · NCR · Citrix · TracFone · Verizon

    $250M

    Profitability impact

    attributed to AI-powered commercial analytics (NCR)

    $7B

    Business scale

    analytics and FP&A supporting growth from about $1.5B to $7B in revenue (TracFone)

    2×

    Delivery throughput

    from an operating-model redesign (Carter's)

    The read is free. What you do with it is up to you.

    Questions first? Write to info@modernai.io. We reply within one business day.