Pixis optimizes marketing performance with agentic AI

From early-stage startups to large enterprises, businesses of all sizes are increasingly finding innovative use cases for AI. But wariness of hallucinations can hamper their ability to fully unlock the benefits of this technology. Built on AWS, Pixis is helping its customers overcome that challenge.

An AI marketing platform, Pixis helps brands optimize their ad performance through solutions that streamline campaign management and drive high-impact creativity. Vikas Mishra, Chief Technology Officer, says: “We’ve evolved a lot over time, and now we help our customers across different platforms with our agentic solutions.”

To help avoid hallucinations, Pixis’ agentic AI offering uses a multi-agent architecture. Mishra explains: “We have our own validation layers in-built and not on the front level, but more at the architecture level.” This way, answers pass through multiple layers before they reach the end user. Mishra continues: “That’s where we bring in the difference in our solutions.”

The other point of differentiation for Pixis’ platform is that its agents can evolve over time. “We call it a living memory concept,” says Mishra, “In our system, it keeps on monitoring, learning about your account and the memory doesn’t go away with just one session.”

Pixis has been with AWS since its inception, for both traditional use cases and its agentic AI platform. Using Amazon Bedrock and Amazon Bedrock AgentCore, it can access hundreds of foundation models from leading AI companies, while saving on uptime costs.

“The other part we’re really excited about is the AgentCore,” says Mishra, “because...with current sandbox models they charge you for the uptime, but with AgentCore, I think, at least from our understanding, it doesn’t charge you for IO when the LLM tokens are still generating.”

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