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    Adlyse Infrastructure

    Building paid media technology in-house?

    Start with infrastructure built for it.

    Platform connections, business context, specialized reasoning, predictive models, and composable workflows to build proprietary agents, automations, and features for paid media.

    Build on top of a production foundation instead of building every layer from scratch.

    Talk to Us About Your Build
    Google AdsGoogle AdsMetaMetaTikTokTikTokMicrosoft AdsOpenAIOpenAIAppLovinAppLovin+ more ad platforms
    3,000+ integrations across your growth stack
    Your proprietary layer
    You build
    Budget pacing agentCreative QAClient reportingBid strategy copilotAnomaly alerts
    Adlyse infrastructureAlready built
    Workflows & governance
    Hypotheses · predictions · measurement
    20+ reasoning models · context
    Ad platforms + 3,000 integrations
    Google AdsMetaTikTokOpenAIAppLovin
    Google AnalyticsSalesforceHubSpot3k+
    Why the two connection layers matter

    Connect agents to the ad platforms and the business behind them

    Reliable paid media agents need both types of connectivity.

    Advertising platforms
    What is happening inside the campaigns
    Google AdsGoogle Ads
    MetaMeta
    TikTokTikTok
    Microsoft Ads
    OpenAIOpenAI
    AppLovinAppLovin
    MonitorInvestigateRecommendExecute approved changes
    Your agent
    Business context
    What is happening across the business
    Google AnalyticsGoogle AnalyticsAnalytics
    SalesforceSalesforceCRM
    HubSpotHubSpotCRM
    ShopifyShopifyCommerce
    StripeStripeRevenue
    FigmaFigmaCreative
    SnowflakeSnowflakeData
    SlackSlackCommunication
    LookerLookerBI
    Across the growth stack3,000+
    Both together: decisions that support the company's actual goals
    The intelligence layer

    More than connected data

    More data does not make decisions reliable. Adlyse adds intelligence layers between the raw data and the action.

    Raw data
    Reason
    Predict
    Compare
    Act
    Learn
    20+

    Specialized reasoning models

    Validate, organize, and contextualize data before any recommendation.

    Spend · Meta · EU store
    Revenue · Shopify
    Duplicate purchase events
    Goal · ROAS ≥ 3.0

    Predictive models

    Estimate what each action is expected to do before it moves forward.

    Hypothesis engine

    Evaluate multiple responses and select the strongest next action.

    H1 · Refresh creative
    H2 · Shift budget to SearchStrongest
    H3 · Pause prospecting

    Outcome measurement

    Tie every action to its hypothesis, expected result, and real outcome.

    Expected
    Measured
    Learned
    How Adlyse reasons

    From raw signal to the strongest next action

    Signal: Meta CPA +32% · EU store
    Step 1 / 8
    01Connect the full context
    Ad platforms
    Google AdsGoogle AdsMetaMetaTikTokTikTokMicrosoft Ads
    Growth stack
    Google AnalyticsGoogle AnalyticsSalesforceSalesforceHubSpotHubSpotShopifyShopifyStripeStripe

    Illustrative example

    Build versus build on

    Build from scratch or build on Adlyse

    Where your engineering goes
    Adlyse foundation
    Your proprietary agents, automations, and features
    Foundation providedProprietary value
    Start with a general AI model
    Start with infrastructure designed for paid media
    Build and maintain every ad platform connection
    Google Ads, Meta, TikTok, Microsoft Ads, OpenAI, AppLovin, and more
    Connect analytics, CRM, creative, and business data separately
    3,000+ integrations across the growth stack
    Send raw data directly to a model
    Validate and contextualize through 20+ reasoning models
    Depend on one generated recommendation
    Evaluate multiple hypotheses before selecting an action
    Decide based only on historical data
    Predictive models estimate potential outcomes
    Build your own context and memory architecture
    Business, brand, and account-specific context
    Create separation across brands and accounts
    Isolated context for every business and account
    Code every workflow from the beginning
    Compose agents, prompts, rules, schedules, approvals, and actions
    Build permissions and approval logic
    Configure governance and human approval points
    Create your own measurement system
    Actions tied to hypotheses, expected and measured outcomes
    Spend engineering resources on the foundation
    Focus your resources on proprietary value
    Building blocks

    The building blocks are already here

    Ad platform connectivity

    Build across every major advertising platform.

    Google AdsGoogle AdsMetaMetaTikTokTikTokMicrosoft AdsOpenAIOpenAIAppLovinAppLovin+ more

    Integrations

    Analytics, CRM, creative, commerce, communication, and the rest of the business.

    3,000+
    Google AnalyticsSalesforceHubSpotShopifyStripeFigma

    Reasoning models

    Validate, organize, and contextualize information before a recommendation.

    20+

    Predictive models

    Estimate the potential outcome of each decision before approval.

    Hypothesis engine

    Generate and evaluate multiple responses, then select the strongest.

    H1
    H2
    H3

    Context and memory

    Everything relevant to each business and account, retained.

    GoalsBudgetsHistoryWorkflowsDecisionsResults

    Context isolation

    Nothing mixes across customers, brands, markets, or accounts.

    Brand A
    Brand B
    Brand C

    Composable workflows

    Combine the pieces instead of coding every workflow from zero.

    AgentPromptReasoningRuleScheduleApprovalAction

    Governance

    Control what each agent can access, recommend, and change.

    Access
    Recommend
    Change budgets needs approval

    Measurement and learning

    Compare the actual outcome with the hypothesis and make the next decision stronger.

    HypothesisExpected resultMeasured outcomeStronger next decision
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    Proof

    Paid media infrastructure built for reliable decisions

    $2B+
    in ad spend managed by companies that trust Adlyse
    3,000+
    integrations across the growth stack
    20+
    specialized reasoning models
    Google Ads, Meta, TikTok, Microsoft Ads, OpenAI, AppLovin, and more
    Predictive models for potential outcomes
    Hypothesis engine for the next best action
    Business and account-specific context
    Context isolation across brands and customers
    Composable workflows
    Human approvals and governance
    Model-independent architecture
    Measurement and continuous learning
    Official partnerships with every ad platform
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    Your team builds on top. Adlyse provides the foundation underneath.