Sydney Huang Launches Human API, an Agent-Native Platform Enabling AI Systems to Hire Humans

San Francisco, CA – Sydney Huang, a Babson College graduate, today announced the launch of Human API, a new platform designed to allow AI systems to directly coordinate with humans for real-world data and labor. Huang serves as Chief Executive Officer of Eclipse Labs, the company behind Human API.

"AI agents are no longer limited by intelligence," said Huang. "They are limited by access to the physical world. Human API exists to close that gap."

Human API addresses what the company describes as the "last-mile problem" for autonomous AI agents. While modern agents can reason, plan, and execute tasks in digital environments, many economically useful activities still require people, including making deliveries, collecting data, and interacting with institutions that are not API-accessible. Human API provides a standardized interface for agents to request, coordinate, and pay humans for this work.

The platform is launching with an initial focus on voice data, one of the most constrained inputs for modern AI systems. Audio is among the most information-dense modalities, encoding language, accent, emotion, timing, and environmental context. However, high-quality labeled audio data is difficult to collect at scale due to licensing restrictions, compression artifacts, and insufficient metadata. As a result, many voice and multimodal models struggle with non-English languages, regional accents, bilingual speech, overlapping dialogue, and nuanced emotional expression.

Human API enables contributors globally to provide high-quality multilingual audio using standard consumer devices, significantly lowering the barrier to participation. According to the company, this approach allows AI systems to access data that cannot be reliably scraped or synthetically generated.

While operating in stealth, Human API has already completed its first paid data deliveries to enterprise customers, validating demand from both buyers seeking higher-coverage datasets and contributors willing to supply them.

“AI agents are strong at reasoning, but they still struggle at the last mile, where coordination, data collection, and human judgment are required,” said David Feiock, General Partner at Anagram and investor in Human API. “Human API is compelling because it treats the human layer as infrastructure. Instead of managed services or generic crowdwork, it offers an agent-native, rights-aware way to bring humans into the loop and pay them instantly.”

Human API plans to expand beyond audio into additional forms of human-provided data and real-world task execution. The platform is currently accepting contributors at thehumanapi.com.

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