Trevor Koverko

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Trevor Koverko

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Trevor Koverko

Trevor Koverko is a entrepreneur, former NHL player, and co-founder of , an tokenization platform; , a purpose-built L1 ; and , a company providing human data labelers for LLM model fine-tuning. [1][2][3]

Education

Koverko received his HBA in Business from the Ivey Business School at Western University in 2012. [4]

Career

Koverko began his professional hockey career, being drafted by the New York Rangers in 2005. After a car accident ended his sports career, he shifted focus to entrepreneurship, founding his first startup, eProf.com. He later worked on a virtual reality project involving the Oculus Rift DK1, which was sold to a Canadian private equity fund. In 2017, Koverko co-founded , a company focused on tokenization and infrastructure. He helped develop the , launched in 2019, and joined the Young Presidents’ Organization (YPO). His work at stemmed from exploring how private equity funds could transition to blockchain, which led to identifying challenges in legally compliant tokenization and the creation of a dedicated platform to address them.

In 2023, he co-founded , a company focused on rethinking the data labeling process used in artificial intelligence development. Inspired by the human component in training AI systems, applies gamified and decentralized methods to improve engagement and efficiency for data labelers. Koverko’s approach draws parallels to the transformation of traditional industries through user-centric and incentive-based models. Throughout his work at , he has discussed the connection between AI and , emphasizing how decentralized systems can distribute value and computing power across participants rather than concentrating it among major technology firms. [4] [5]

Interviews

Sapien

In an October 2025 interview with theCUBE in collaboration with NYSE Wired, Koverko discussed his transition from professional hockey to the world of and artificial intelligence. After being drafted by the New York Rangers, a car accident redirected his path toward entrepreneurship and early investment in 2012. He reflected on his experience founding and witnessing the rise of tokenization, from to , describing how each wave has reshaped digital ownership and finance.

Koverko explained that his latest venture, , functions as a marketplace where people contribute data to train AI models, focusing on collaboration between humans and machines rather than replacement. He highlighted the platform’s decentralized structure as a way to create opportunities for global workers while ensuring diverse, high-quality data. Discussing the company’s customer base, he outlined three main groups—large AI model developers, startups, and Fortune 500 enterprises—and predicted that the future of AI will include more specialized, industry-focused models built around proprietary data. He concluded by emphasizing the value of perseverance in entrepreneurship and outlined Sapien’s next steps toward advancing human-powered AI and expanding tokenized . [11]

AI Isn’t Killing Jobs

In a June 2025 interview on the Cut The Noise podcast, Koverko discussed , a platform designed to enable people worldwide to earn an income by generating data for AI models in a gamified environment. He described it as a new form of gig work where users can earn at least $5 an hour, creating opportunities for financial stability in regions where that represents a living wage. Koverko shared his background as a former professional athlete drafted by the New York Rangers who transitioned into technology and entrepreneurship, including his early involvement in and the creation of , a project focused on tokenizing .

He explained that was built to meet the growing demand for high-quality data in AI training while keeping users engaged through interactive, game-like experiences. The platform uses decentralization and -based systems to ensure transparency and quality, allowing people to contribute from anywhere in the world. Koverko also challenged the notion that AI will eliminate jobs, suggesting instead that it will generate new forms of digital work. He noted rapid growth, with over a million users onboarded, and emphasized its goal of merging human creativity with technological advancement in an accessible, decentralized economy. [12]

Decentralized AI Supply Chain

In a May 2025 interview on the DWeb Decoded podcast, Koverko discussed , which he described as the world’s first decentralized data foundry. He recounted his transition from a professional hockey career in Canada, cut short by a 2005 car accident, to involvement in early ventures, including and . He also described his work founding , a project focused on security tokens and asset tokenization, and reflected on the challenges and cycles of the industry.

Koverko highlighted the growing bottleneck in AI development caused by the need for high-quality data, comparing the process of refining raw data for AI to refining oil. He critiqued traditional data centers for relying on manual oversight and presented model as a gig-economy solution that connects businesses with individuals to complete data tasks efficiently. He emphasized the importance of a diverse contributor base for improving data quality and argued that AI will create new job opportunities requiring specialized human expertise. Koverko also outlined user acquisition strategy, noting partnerships with large corporations to ensure steady demand, and emphasized the ongoing need for human involvement in AI as the industry continues to evolve. [13]

AI Data Labeling

In a June 2024 interview on the BOOM! It's On The Blockchain podcast, Koverko discussed his career and work with . He recounted his early involvement in the and communities and founding in 2017, a company focused on tokenizing through its products and the . Koverko highlighted the importance of human feedback in AI, explaining that labeled data improves model performance and creates new opportunities for gig work.

He described role in providing structured data for AI models, emphasizing human contributions to model accuracy and fine-tuning. Koverko also addressed AI’s impact on the workforce, suggesting that while some roles may change, new positions—particularly in data labeling—will emerge. He noted that enables anyone with internet access to participate in this work, and he expressed optimism about AI applications in education, such as personalized tutoring. He concluded by outlining goals to expand its human data labeling network and scale its operations in the coming years. [14]

Entrepreneurship

On the "Rent is Due" podcast, Koverko reflected on his journey from a professional sports career to the challenges and triumphs of entrepreneurship. He discussed the transition from hockey, where he developed a competitive mindset, to founding and building tech companies like and . Koverko emphasized the importance of adaptability, the value of competing at a high level, and the critical lessons learned from both his athletic and business experiences. He also touched on the role of networks, perseverance, and the evolving landscape of tech entrepreneurship. [8]

Crypto and the NHL

On The Pal’s Podcast, Koverko discussed his transition from being an NHL draft pick for the New York Rangers to becoming a tech entrepreneur focused on and . He recounted his journey from dealing with career-ending injuries and early retirement to pursuing education and work in Silicon Valley. Koverko explained his involvement in startups, including his role in acquiring and managing online businesses and his efforts to innovate with tokenized funds and . He also shared insights on the evolution of and its comparison to the dot-com bubble and emphasized the importance of long-term investment strategies and diversification. [9]

Presentations

Human Powered Axie

In December 2024, Koverko presented at the Blockchain Futurist Conference, discussing his career and the evolution of . He reflected on his early involvement with and the development of the , noting its contributions to the tokenization of assets and collaboration with Ethereum co-founder Charles Hoskinson. Koverko emphasized the importance of human data labeling in AI, likening raw data to crude oil that requires refinement, and highlighted the scale and centralization issues of the current global workforce.

He introduced as a platform designed to decentralize data labeling, enabling enterprises to access diverse labor and allowing individuals to earn money remotely through gamified workflows. Koverko outlined the platform’s features, growth, and revenue milestones, including $200,000 in monthly revenue within six months, and discussed plans for cross-platform interoperability and collaboration with other decentralized AI projects. [15]

Panels

BASSLite

In February 2025, Koverko participated in a Stanford Blockchain Club panel alongside Gil Rosen (Blockchain Builders Fund), Jeremy Hazan (Hyperbolic), and Jonathan Jarnilla (Exabits), discussing post-revenue blockchain AI companies with significant Web2 user traction. Koverko outlined approach to decentralizing AI data labeling, leveraging a global network of 100,000 human labelers to produce specialized datasets for enterprises, and noted that the platform had generated over 2 million tags from contributors across more than 100 countries, serving clients like Alibaba and MidJourney.

The panel also addressed technical innovations and efficiency, with emphasizing the importance of diversity in labeling and -economic incentives to ensure data quality, while Hyperbolic and Exabits focused on GPU orchestration and the provision of compute resources. Challenges of decentralization, such as trust and quality variability, were discussed, along with solutions like proof-of-sampling models and mechanisms. The conversation concluded with an outlook on AI in the space, highlighting the potential to address data bottlenecks and expand the AI economy. [16]

Fireside Chat

At CoinAgenda 2022, Koverko discussed his journey from being a professional hockey player to becoming an early participant in the space, particularly within the community in Toronto. He highlighted his experiences with key figures like and and recounted the early days of development. Koverko also shared insights into the creation and evolution of , a platform designed to tokenize financial securities, detailing the challenges of building a tailored for legal compliance and security. The conversation concluded with reflections on the current state of tokenization and the regulatory landscape, emphasizing the convergence of technological advancements and increasing regulatory scrutiny in the industry. [10]

REFERENCES

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