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ax1om

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ax1om trains prediction models on each customer's own outcome history and exposes them for AI agents to call over MCP and API. Three model families run in production - conversion scoring, customer health, and timing - and agents call all three over MCP; scoring is live on the API and the CRM writeback today. Every model trains on first-party CRM data from Salesforce or HubSpot, with no third-party enrichment and no shared models, and passes through validation gates, including leakage detection and label-maturity checks, with the result surfaced before anything acts on it. Every prediction ships with SHAP factors showing which CRM fields drove it. Scores write back to Salesforce and HubSpot, and a versioned scoring API serves the same predictions to workflows. Built for RevOps teams and operators putting agents on revenue work, with no data science hire required.

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