Extole is an enterprise offer management platform powering personalized incentive programs across the entire customer lifecycle. Leading B2C brands choose Extole to build and optimize loyalty, referral, ambassador, promotional, and offer programs at scale.
Highly configurable and AI-accessible, Extole fits seamlessly into every team’s agentic workflow through MCP and CLI access, plus an in-platform AI assistant. Marketers build and track intelligent offer programs that motivate action. Product teams embed personalized offers into digital experiences to drive engagement and growth. Developers extend the platform through APIs, SDKs, and partner integrations.
Behind every campaign, Extole orchestrates creative content, rules, and reward fulfillment, dynamically adapting each offer to the audience and channel. Our enterprise-grade infrastructure ensures every offer is delivered securely, accurately, and reliably.
Build your next offer program with Extole.
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Affiliate, influencer & referral management software in one platform. Connect your billing, set commission rules and launch same day.
We integrate natively with Stripe, Paddle, Chargebee, Recurly, and Braintree. Every billing event flows through: upgrades, downgrades, renewals, refunds, and cancellations each adjust commissions automatically, so payouts always match revenue.
Payouts can run fully auto-managed, or in bulk via PayPal and Wise. Tax forms (W-9/W-8BEN) are collected before money moves and invoices are generated on every payout, cutting out most of the admin that normally comes with running a program.
Your promoters work from a dashboard carrying your brand, with their links, coupon codes, and earnings in one place. On your side: advanced 18-point reporting, custom commission structures from flat fees to multi-tier, fraud detection, and broadcast emails to your entire promoter base.
Launch your program today! 14 days free trial. No credit card needed.
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Muse Spark 1.2
Muse Spark 1.2 is Meta’s coding-focused model update designed to power Muse Code and improve software engineering workflows. The model is built for code generation, complex debugging, codebase understanding, long-horizon development tasks, and end-to-end developer workflows. Muse Spark 1.2 was co-trained with Muse Code to improve performance inside the terminal coding agent environment. It supports planning, goal conditioning, context compaction, subagent coordination, and iterative coding workflows across large repositories. The model was trained with expanded coding compute, diverse development environments, self-improvement loops, and long-running engineering tasks. Built for AI developers and software teams, Muse Spark 1.2 helps agents plan, write, validate, debug, and optimize code with greater autonomy.
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