Aampe describes itself as “the AI-native user engagement platform,” so they clearly think AI is still cool. The system combines real-time tracking of user behavior with automated testing of message attributes to generate personalized app content for each individual and adjust the content after every user action. They just raised $7.5 million in Pre-Series A funding, bringing their total to $9.3 million.
Prophecy offers a no-code data transformation platform, using a visual interface to generate transformation code. They just raised a $35 million Series B, bringing total funding to $67 million. In what could be a sign of genAI-fatigue, the press release doesn’t mention AI although the company website does list AI-based tools.
One factor slowing adoption of generative AI is the challenge of knowing whether it was used to produce any particular piece of content. Adobe is backing an open standard to tag AI-generated materials with details about their origins and changes. It just announced adoption by partners including Microsoft, Leica, Nikon, Publicis, and others. There’s an online Content Credentials hub where consumers and creators can verify content; it’s consistent with the Coalition for Content Provenance and Authority (C2PA) standard.
If you still think that MCP stands for Male Chauvinist Pig, well, the 1970’s want their disco ball back. Today’s hep cats know that MCP stands for Model Context Protocol, a new-but-widely supported standard that lets large language models access structured data as context for their prompts. Early adopters include Salesforce and Adobe, and search platform Algolia is now using it to feed their data to customer-facing real-time AI agents.