Sydney Huang released the agent-oriented native platform Human API, aimed at enabling AI systems to directly hire humans

Babson College graduate Sydney Huang today announced the launch of Human API. This is a brand new platform designed to enable AI systems to collaborate directly with humans to obtain data and labor from the real world. Huang also serves as the CEO of Eclipse Labs, the company behind Human API.

"AI agents are no longer limited by their intelligence level," Sydney Huang stated, "they are limited by their access to the physical world. The existence of Human API is to bridge this gap."

Human API aims to address what the company calls the "last mile problem" for autonomous AI agents. While modern agents can reason, plan, and execute tasks in digital environments, many economically valuable activities still require human involvement, such as completing deliveries, collecting data, and interacting with organizations that have not yet implemented API access. Human API provides agents with a standardized interface to request, coordinate, and compensate humans for completing these tasks.

In its initial launch phase, the platform will focus on voice data, which is one of the most restricted forms of input in current AI systems. Audio is a highly information-dense modality, containing information such as language, accent, emotion, timing, and environmental context. However, due to authorization restrictions, compression distortion, and insufficient metadata, high-quality, labelable audio data is difficult to scale for collection. As a result, many speech and multimodal models perform poorly in non-English languages, regional accents, bilingual speech, overlapping conversations, and subtle emotional expressions.

Human API enables global contributors to provide high-quality multilingual audio using standard consumer-grade devices, significantly lowering the participation threshold. The company states that this approach allows AI systems to access data that cannot be reliably captured or generated through synthesis.

Although still in stealth mode, Human API has already completed its first paid data deliveries to enterprise clients, validating market demand from both buyers seeking higher coverage datasets and contributors willing to provide this data.

David Feiock, General Partner at Anagram and investor in Human API, stated, "AI agents are strong in reasoning but face challenges in the last mile, where coordination, data collection, and human judgment are needed. The appeal of Human API lies in its view of the human layer as infrastructure. It is not a managed service or generalized crowdsourcing, but a way that focuses on rights protection for agents, incorporating humans into the system and enabling instant payment."

Human API plans to expand in the future to include more forms of human-provided data beyond voice, as well as the execution of real-world tasks. Currently, the platform is accepting contributor registrations at thehumanapi.com.