{"id":"omer-goldberg","title":"Omer Goldberg","content":"**Omer Goldberg** is a technology entrepreneur known for founding and leading [Chaos Labs](https://iq.wiki/wiki/chaos-labs), a prominent company in the [decentralized finance](https://iq.wiki/wiki/defi) (DeFi) risk management space.  [\\[1\\]](#cite-id-xlLbnlHtdIPJgEDY)  [\\[2\\]](#cite-id-jXmbed4pgricjzXf) \n\n### Early Life & Education\n\nOmer Goldberg attended the Technion - Israel Institute of Technology, where he studied computer science with a focus on information technology, completing his degree in 2017. [\\[1\\]](#cite-id-xlLbnlHtdIPJgEDY) During his academic journey, he demonstrated exceptional performance, earning a spot on the Dean's List for Academic Excellence in 2015. [\\[2\\]](#cite-id-jXmbed4pgricjzXf) His educational background laid the foundation for his subsequent ventures in the tech industry and beyond.\n\n### Career\n\n#### Early Ventures and Entrepreneurship\n\nOmer Goldberg began his entrepreneurial career in 2013 when he founded Creative Engineering Boutique, a digital agency focused on delivering software solutions for startups and small and medium-sized businesses. The company provided services that included design, implementation, and marketing, which served as the basis for later work with [blockchain](https://iq.wiki/wiki/blockchain).\n\nIn September 2015, Goldberg founded JoiRyde Ltd., a social ride-sharing application designed for college campuses. As founder and chief executive officer, he led the company's business execution and mobile development strategy. JoiRyde was selected for the 100K innovation grant organized by EcoMotion and the Israeli Smart Fuel Initiative.\n\nBetween August 2016 and March 2017, Goldberg worked as an algorithms and full-stack lecturer at Israel Tech Challenge. During this period, he also founded Mindflow.ai, serving as chief executive officer from March 2017 to January 2018. Mindflow.ai was a knowledge management application for macOS, Windows, and Linux that generated developer documentation based on user workflows. The company was selected for the inaugural Y Combinator Startup School in 2017 and received mentorship from Y Combinator alumni.\n\n#### Facebook and MIT\n\nIn July 2017, Goldberg joined Facebook as a software engineer within the internet.org division. He worked on consumer-facing mobile Wi-Fi technologies, where he helped architect and implement an ad-based internet model, developed an Android video client optimized for emerging markets, and led integrations with international advertising providers and telecommunications companies. He also participated in product launches in Kenya, South Africa, India, and Ghana.\n\nFrom January 2018 to June 2019, Goldberg collaborated with the Massachusetts Institute of Technology's Operations Research Center as a tech lead. He contributed to the development of an online personalized learning platform for EdX, which supported thousands of concurrent users and provided instruction for The Analytics Edge massive open online course, which had more than 100,000 enrollments.\n\nIn May 2018, Goldberg transitioned to the business-to-business team within Facebook's internet.org division. He worked on business and network management platforms, developed partner-facing analytics dashboards, and created applications used by telecommunications providers and partners across countries including India, the Philippines, South Africa, Kenya, Ghana, and Tanzania.\n\nFrom June 2019 to July 2020, he served as tech lead for Facebook Watch. In that role, he led the performance domain for Watch on Facebook Lite, focusing on video experiences for emerging markets and full-stack Android development with an emphasis on speed, performance, and reliability.\n\n#### Instagram\n\nIn July 2020, Goldberg joined Instagram as a tech lead. He led the mobile experience for Commerce Ads, with a particular focus on feed and Stories products. He remained at the company until July 2021.\n\n#### Founding Chaos Labs\n\nIn July 2021, Goldberg founded [Chaos Labs](https://iq.wiki/wiki/chaos-labs) and became its chief executive officer. The company develops economic security and risk management systems for [decentralized finance](https://iq.wiki/wiki/defi) protocols, with a focus on artificial intelligence models and data-driven infrastructure. Under his leadership, Chaos Labs became a provider of risk management solutions used to secure billions of dollars in on-chain value and developed simulation technologies intended to improve the security and efficiency of [blockchain](https://iq.wiki/wiki/blockchain)-based financial systems.\n\nGoldberg has spoken publicly about challenges related to on-chain governance and financial risk management in [decentralized finance](https://iq.wiki/wiki/defi). Through [Chaos Labs](https://iq.wiki/wiki/chaos-labs), he has contributed to the development of infrastructure aimed at improving the safety and reliability of decentralized financial markets.\n\nIn 2026, [Chaos Labs](https://iq.wiki/wiki/chaos-labs) ended its role as a risk manager for [Aave](https://iq.wiki/wiki/aave) during discussions surrounding the rollout of the protocol's V4 upgrade. According to Goldberg, the decision resulted from differences in risk management priorities and philosophy between the two organizations.\n\n#### Recognition and Community Involvement\n\nThroughout his career, Goldberg participated in startup initiatives, competitions, and educational programs. He received the Google Android Developer Scholarship and won first place in a blockchain implementation competition organized by Kin Ecosystem. He also took part in Y Combinator Startup School and has remained active in the technology and [cryptocurrency](https://iq.wiki/wiki/cryptocurrency) communities, sharing views and updates through social media and public appearances. [\\[1\\]](#cite-id-xlLbnlHtdIPJgEDY)  [\\[2\\]](#cite-id-jXmbed4pgricjzXf)  [\\[3\\]](#cite-id-Ga1Jj8OnjF6OaPam)  [\\[4\\]](#cite-id-gn7eCbEGr1VjorJT)  [\\[5\\]](#cite-id-tLL5PtfqLlajSAP4)  [\\[6\\]](#cite-id-TQTNi9ECf5B81HwV) \n\n## Interviews\n\n#### Edge Protocol Presentation #01\n\nOn September 27, 2024, at [TOKEN2049](https://iq.wiki/wiki/token2049) Singapore, Omer Goldberg presented the Edge protocol developed by [Chaos Labs](https://iq.wiki/wiki/chaos-labs) and discussed its approach to oracle infrastructure for [decentralized finance](https://iq.wiki/wiki/defi). During the presentation, he described the requirements and operational challenges associated with managing risk in [blockchain](https://iq.wiki/wiki/blockchain)-based financial applications.\n\n[YOUTUBE@VID](https://youtube.com/watch?v=5Xal1ZDv2fc)\n\nGoldberg explained that Edge combines price [oracles](https://iq.wiki/wiki/oracle), risk oracles, and proof oracles within a single framework. He stated that existing oracle systems primarily provide market data and said that integrating risk-related information into price feeds allows applications to incorporate additional market indicators when processing data.\n\nHe also discussed the use of manual risk management procedures in [decentralized finance](https://iq.wiki/wiki/defi), noting that parameter changes may take several days to be implemented. According to Goldberg, this process can create delays between market events and protocol updates. He described real-time risk data and automated parameter adjustments as part of the approach used by Edge.\n\nDuring the presentation, Goldberg stated that the protocol had been operating with [Jupiter](https://iq.wiki/wiki/jupiter) on [Solana](https://iq.wiki/wiki/solana) and said that more than $30 billion in trading volume had been processed over a three-month period. He also described the protocol's GraphQL interface, which allows developers to access data in different formats, and referred to the development of proof oracles designed to verify external data sources. In this context, he mentioned a collaboration with [Wintermute](https://iq.wiki/wiki/wintermute) related to prediction markets associated with the 2024 United States presidential election. [\\[7\\]](#cite-id-mTk1QlYdP7ccoC0J) \n\n#### AI, Product Design, and Financial Intelligence #02\n\nOn June 5, 2025, Omer Goldberg appeared on the Flexi Studio YouTube channel in an interview titled ''Intelligence is the New Currency of Finance: Omer Goldberg, CEO at [Chaos Labs](https://iq.wiki/wiki/chaos-labs)''. During the discussion, he addressed topics related to artificial intelligence, product development, and financial technology.\n\n[YOUTUBE@VID](https://youtube.com/watch?v=NrqBxcpAoyA)\n\nDuring the interview, Goldberg stated that [Chaos Labs](https://iq.wiki/wiki/chaos-labs) was established with concepts derived from data-driven methodologies and chaos engineering. He explained that the company had expanded from developer-oriented tools to a platform focused on risk management and analytics for [blockchain](https://iq.wiki/wiki/blockchain)-based financial applications.\n\nGoldberg discussed the development of artificial intelligence and referred to large language models as a factor behind increased adoption in recent years. He stated that reliability and user trust are important considerations for AI systems and noted that inaccurate outputs and hallucinations can affect confidence in such tools. He also described the use of evaluation procedures and safeguards in the context of financial applications.\n\nGoldberg described his approach to generative user interfaces, explaining that they allow layouts and visualizations to be assembled in response to user requests rather than relying exclusively on predefined screens. According to Goldberg, [Chaos Labs](https://iq.wiki/wiki/chaos-labs) had developed internal processes intended to support this type of interface.\n\nHe also discussed the use of AI-assisted software tools in product development. According to Goldberg, platforms including V0 and Lovable were incorporated into parts of the design and prototyping workflow, allowing product, design, and engineering teams to iterate on features through interactive prototypes.\n\nIn discussing the broader effects of artificial intelligence, Goldberg stated that automation may influence existing workflows and that individuals and organizations may need to adapt their processes and skills as AI systems continue to develop. 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