Scaling AI in CPG: Matan Friedmann Joins Confido as Head of AI

Scaling AI in CPG: Matan Friedmann Joins Confido as Head of AI

We are thrilled to announce that Matan Friedmann has joined Confido as our new Head of AI.

Matan joins us at a pivotal moment. As Confido continues to redefine how the CPG industry manages complex financial data, Matan’s unique background as a founder, researcher, and engineer will help redefine the engine behind our next generation of AI-native features.

A Proven Track Record of Real-World Impact

Matan brings over a decade of applied AI experience to the team. Most recently, he was the Co-Founder and CTO of Clearly Labs, where he built agentic AI solutions designed to automate the most grueling data handling processes in the enterprise world.

At Clearly, Matan tackled a problem that many in the CPG space know all too well: the "messy document" bottleneck. He engineered an end-to-end, format-agnostic pipeline that transformed unstructured, real-world documents into clean, system-ready insights. By building robust agentic workflows to extract line-item information, he was able to reduce manual workloads for partners by orders of magnitude.

This wasn’t just a research project—it was a production-grade system. Matan’s work involved:

• End-to-End Extraction: Building state-of-the-art pipelines to standardize highly variable data.
• Observability & Trust: Creating comprehensive databases for full traceability, coupled with automated and human-in-the-loop validation to ensure 100% reliability.
• Downstream Action: Integrating multimodal analytics to gauge business metrics in real-time, enabling seamless financial integrations.

From Autonomous Mapping to Quantitative Research

Matan’s ability to build at scale has been a career-long theme. Before Clearly, he spent over five years at Nexar, a smart-mobility startup, where he rose to Director of Autonomous Mapping & Strategy. There, he pioneered and shipped a novel AI-powered HD mapping platform built from crowd-sourced camera data—managing massive data streams in real-time to serve hundreds of thousands of users and many international automotive enterprises.

He later served as a Senior AI/ML Researcher at Q ai (acquired by Apple), applying machine learning at scale, and co-developed AutoPrompt, an open-source framework that garnered over 3K stars on GitHub and became a staple in the AI research community at the time. In academia, Matan presented his works in leading computer science conferences and co-authored many peer-reviewed publications in astrophysics, including a landmark study that involved rebuilding the Hubble Space Telescope image-processing pipeline to beat a Nobel-laureate-led team to publication by over two years.

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What This Means for Confido

Matan isn’t just joining us to lead a department; he’s here to build a powerhouse of industrial-grade AI. Leveraging his deep experience in scaling elite technical teams, Matan will aggressively expand our Applied AI/ML team, focusing on developing proprietary models and agentic architectures specifically tuned for the unique complexities of the CPG space.

The goal for this new chapter is clear: to ship AI with the velocity and accuracy that enterprise-grade CPG operations demand. Having seen firsthand at Clearly how much critical value is locked inside "messy" documents, the focus now is on unlocking that data for the entire industry at a scale that simply wasn't possible before.

As Head of AI, Matan will spearhead the integration of these advanced agentic workflows into the Confido platform. By automating the most arduous data handling processes, we are ensuring our customers can move away from manual entry and focus on high-leverage strategic decisions. We aren't just keeping pace with the agentic revolution—we are building the team and the proprietary models that will lead it.

Please join us in welcoming Matan to the team!

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