Upstream intelligence for AI-native buying.

    Advertising is entering a new phase. As autonomous systems increasingly discover, evaluate, and transact on media, supply must be expressed in ways machines can reliably understand.

    Modulr analyzes publisher-owned content and converts semantic meaning into machine-readable supply descriptors — enabling media to remain discoverable, understandable, and trustworthy across emerging agent ecosystems.

    Modulr signal infrastructure visual

    What Modulr Does

    Modulr sits between content and systems.

    Modulr analyzes publisher-owned podcast and CTV content and generates deterministic, machine-readable supply descriptors.

    Each descriptor is versioned, governed, and portable — designed for system-level discovery rather than campaign-level optimization.

    The result is content expressed in a format autonomous systems can discover, evaluate, and trust without modifying auctions, ownership, or transaction mechanics.

    Signal Registry

    signal_registry.entry

    > modulr.signal.register()

    { "signal": "#005", "classification": "observe", "status": "published", "thesis": "decoding_creates_markets", "entry": "/signal-shift/005" }

    The Structural Shift

    A structural shift is underway in how media is discovered.

    For decades, buying optimized around impressions. Today, discovery begins with intent — and increasingly, with machine-originated logic.

    Raw content alone is no longer enough. Meaning must be expressed clearly, consistently, and beyond traditional IAB categories or surface-level contextual tags.

    Modulr exists at that upstream layer — converting content meaning into machine-readable understanding that autonomous systems can act on without guesswork.

    Who This Is For

    Built for the next phase.

    Publishers

    Ensure your content remains discoverable as autonomous buying systems increasingly operate by meaning rather than metadata.

    SSPs & Prebid

    Expose machine-readable supply descriptors without altering auctions or ownership.

    Buying Systems & Agents

    Discover, evaluate, and trust inventory through structured understanding rather than inference.

    Why This Matters

    The next generation of buying systems will not wait for supply to adapt.

    Content that expresses meaning clearly will move faster. Content that does not will be bypassed.

    Structured descriptors reduce inference and approximation — creating a more efficient and trustworthy marketplace.

    Modulr keeps publishers legible as the market evolves.

    Neutrality

    Modulr enables supply to move at the speed of intent.

    Modulr does not transact, bid, or track users. It operates upstream of execution systems — enabling media supply to participate in autonomous ecosystems without interfering with auctions.

    Infrastructure earns trust by what it chooses not to do.

    How Modulr fits
    From content meaning to machine-readable understanding.
    Publisher content
    Podcast
    episode feed
    FAST channel
    schedule
    CTV stream
    metadata
    Transcripts
    show context
    Fragmented.
    Human-readable.
    Intelligence boundary
    Modulr
    Analyze
    Structure
    Version
    Normalize
    Intent Signals
    Suitability
    IAB Categories
    Provenance
    Governance
    Confidence
    Deterministic.Versioned.Machine-readable.
    Ecosystem
    Agentic Protocol Rails
    Current
    AdCP
    Protocol layer
    Prebid
    Seller agent layer
    Emerging
    MCP
    Context protocol
    A2A
    Agent interop
    Consumers
    Buyer agents
    AI planning systems
    DSPs
    Demand platforms
    Seller agents
    Supply curation
    No auction participation · No user tracking · No demand ownership

    Join the Pilot

    Modulr is onboarding a limited number of pilot publishers preparing for the next phase of advertising infrastructure.

    Phase 1: Audio & FAST.

    Join the Pilot