Jason Lopatecki
Jason Lopatecki is co-founder and CEO of Arize AI, an AI & Agent observability and evaluation company. He is a garage-to-IPO executive with an extensive background in building marketing-leading products and businesses that heavily leverage analytics. Prior to Arize, Jason was co-founder and chief innovation officer at TubeMogul where he scaled the business into a public company and eventual acquisition by Adobe. Jason has hands-on knowledge of big data architectures, programmatic advertising systems, distributed systems, and machine learning and data processing architectures. In his free time, Jason tinkers with personal machine learning projects as a hobby, with a special interest in unsupervised learning and deep neural networks. He holds an electrical engineering and computer science degree from UC Berkeley - Go Bears!
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AI EngineeringSelf-Adapting Language Models: Paper Authors Discuss Implications
In a recent live AI research paper reading, the authors of the new paper Self-Adapting Language Models (SEAL) shared a behind-the-scenes look at their work, motivations, results, and… Jason Lopatecki July 8, 2025 4 min read -
AI Product QualityIntroducing adb: Arize’s AI-native datastore
Earlier this month, we rolled out real‑time ingestion support to every Arize AX workspace—paid and free. With that launch, Arize now ingests terabytes of data every day across… Jason Lopatecki Michael Schiff June 25, 2025 5 min read -
AI ObservabilityThe Illusion of Thinking: What the Apple AI Paper Says About LLM Reasoning
A recent paper from Apple researchers—The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity—has stirred up significant discussion in… Jason Lopatecki June 20, 2025 5 min read -
AI ObservabilityAccurate KV Cache Quantization with Outlier Tokens Tracing
Deploying large language models (LLMs) at scale is expensive—especially during inference. One of the biggest memory and performance bottlenecks? The KV Cache. In a new research paper, Accurate… Jason Lopatecki June 5, 2025 5 min read -
LLM Evals40 Large Language Model Benchmarks and The Future of Model Evaluation
With the accelerated development of GenAI, there is a particular focus on its testing and evaluation, resulting in the release of several LLM benchmarks. Each of these benchmarks… Jason Lopatecki April 11, 2025 17 min read -
Agent EvaluationArize AI Raises $70M Series C to Build the Gold Standard for AI Evaluation & Observability
In 2020, we founded Arize with a clear mission: to give teams the tools they need to understand, troubleshoot, and improve AI performance in the real world. Our… Jason Lopatecki Aparna Dhinakaran February 20, 2025 6 min read -
IntegrationsArize AI Brings LLM Evaluation, Observability To Microsoft Azure AI Model Catalog
Generative AI is reshaping the modern enterprise. According to a recent survey, over half (61%) of developers say they plan to deploy LLM applications into production in the… Jason Lopatecki May 21, 2024 9 min read -
Security & GovernanceImplementing Text PII Anonymization
This piece is co-authored by Ilya Reznik (Medium; Contact) Introduction While technology makes it very easy to share information, it also makes it easy to share all sorts… Jason Lopatecki October 11, 2023 3 min read -
AI EngineeringHungry Hungry Hippos (H3) and Language Modeling with State Space Models
Deep Papers, a Podcast from AI Pub and Arize AI Deep Papers is a podcast series featuring deep dives on today’s seminal AI papers and research. Hosted by… Jason Lopatecki March 29, 2023 18 min read -
AI EngineeringToolformer: Training LLMs To Use Tools
Deep Papers, a Podcast from AI Pub and Arize AI, Presents a Conversation with the Meta AI Research Scientists Behind Toolformer Deep Papers is a podcast series featuring… Jason Lopatecki March 21, 2023 17 min read
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Arize gives AI teams observability and evals to understand and improve agent performance.
