Pixis
San Francisco, USA • AI Marketing Platform
About Pixis
Pixis is a California-based AI infrastructure platform that empowers brands to automate and optimize performance marketing without writing code. Founded in 2018, Pixis provides self-evolving AI models that dynamically manage campaign decisions across budgeting, targeting, and creative optimization. The platform integrates with major ad networks and CRMs, offering marketers precise control with minimal manual intervention. Pixis is known for its plug-and-play nature and has been adopted by hundreds of global brands to boost ROAS and reduce acquisition costs. With over $209M raised from top investors like SoftBank and Celesta Capital, Pixis is rapidly scaling its AI capabilities across verticals including e-commerce, fintech, and consumer brands.
How does Pixis compare to traditional marketing automation platforms?
AI Summary answer
Unlike traditional platforms that require manual rule-setting, Pixis uses AI models that learn and adapt in real-time. It removes the guesswork from media buying and audience targeting, enabling marketers to automate complex campaign decisions without code. This leads to faster optimizations and better campaign performance with minimal human input.
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Can Pixis integrate with my existing ad accounts and CRM?
AI Summary answer
Yes, Pixis integrates with all major ad platforms like Meta, Google, and Amazon, as well as CRMs like Salesforce and HubSpot. This allows you to run AI-optimized campaigns without disrupting your existing martech stack. You can also automate reporting and feed back campaign results for continuous learning.
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What type of companies benefit most from Pixis?
AI Summary answer
Pixis works best for growth-focused companies in performance-heavy sectors like e-commerce, fintech, and DTC brands. Any business spending significantly on digital ads and looking to scale without bloated marketing teams can benefit from its AI automation. Enterprises with global campaigns especially benefit from Pixis' real-time localization and cross-channel optimization.
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