Meet AirRembr—The AI That Doesn’t Forget (Unless You Want It To) We’re starting an exciting new project called AirRembr. Its goal? To build an AI memory system that actually remembers things the way you need it to—not just random data, but useful, meaningful memory. Here’s
Over the past three years, I’ve been building and supporting an on-premise Customer Data Platform (CDP) designed for businesses that want full control over their data infrastructure. This is not a SaaS product. Our platform is built for organizations that, for security, compliance, or strategic reasons, don’t want
For the last four years, I've lived and breathed Customer Data Platforms. I've coded CDP integrations, evangelized their benefits, and spent countless hours thinking about how to make them more useful. I genuinely believed CDPs were the silver bullet we'd all been waiting for.
A few weeks ago, I was invited to join a conversation at an event focused on one simple but powerful question: How are people actually using AI in their everyday lives? It struck me as the kind of question we don’t ask often enough. Most AI discussions focus on
Hi there! Today, we’re diving into how artificial intelligence is currently used in autonomous tasks. While AI has tremendous potential, it still often requires human supervision. Let’s explore three scenarios where AI can operate autonomously with the right constraints and data. Understanding Autonomous AI: The Balance of Power
We are working on building a new version of Tracardi that will use all our experience from the 1.x version and bring new quality to the table. We are exploring different areas where a new approach could bring real value. I am documenting my journey through this process, and
The first version of Tracardi provided invaluable insights into the demands of real-world data processing at scale. While the system functioned successfully in a number of use cases, production feedback and technical limitations exposed critical lessons and areas for improvement. This article outlines the key observations, necessary architectural changes, and
Introduction: In the rapidly evolving landscape of data-driven decision making, organizations increasingly recognize the limitations of traditional customer data platforms (CDPs). These systems typically focus on collecting and analyzing user-centric data, often falling short when it comes to understanding the broader picture of how businesses operate. Tracardi 2.0 is
Tackling the Challenge of Cross-Domain User IDs Introduction One of the challenges in user identification across multiple domains is the limitation imposed by local-only cookies and IDs. In Tracardi, this issue becomes apparent when a user transitions between domains, as we currently have limited options for passing their profile ID.
In ⏰️ Tracardi Office Hours 20 Risto Kowaczewski and Matt Cameron chat about how to get the open-source Tracardi up and running with the new EasyPanel app in less than 5-minutes, we also share Tracardi development updates.
My Personal Peek Into the 2025. As a CTO, I’ve been reflecting on what’s ahead in 2025, and I see a landscape that’s both challenging and exciting. Here’s my take on where we’re heading and how we can prepare to lead effectively. 1. SaaS Without
Learn about the Tracardi roadmap and discover how predictive analysis can help you personalize your customer experiences, boost engagement and drive business growth!
Tracardi, an open-source Customer Data Platform (CDP), is embarking on an ambitious journey to redefine itself. As the world of data evolves rapidly, Tracardi is not just keeping pace—it’s aiming to lead. The changes on the horizon promise to transform Tracardi into a more flexible, scalable, and user-centric
Tracardi
New Tracardi release information
At Tracardi, we were tasked with outlining the key differences between the open-source and commercial versions of our customer journey automation tool. Both versions offer significant functionality, but the commercial edition is specifically designed to address enterprise-level requirements, introducing features like parallel processing, advanced segmentation, and enhanced extensibility. This guide
Hello everyone. We are launching the Open-source Tracardi CDP Collaboration Hub on LinkedIn – a space dedicated to connecting enthusiasts, developers, and marketers around Tracardi. Whether you're an experienced developer working with CDPs or someone curious about what an open-source approach to customer data can achieve, this group is