NanoNets YC 申请

Winter 2017Active

NanoNets 在 Winter 2017 批次的 Y Combinator 中作为一家 B2B 公司进行过。以下是：公司做什么、谁创立了它，以及其 YC 申请，按照真实 YC 表格逐题重建。

YC 批次: Winter 2017
行业: B2BProductivity
团队规模: 102
状态: Active
已发布: 2016

创始人

Sarthak JainFounder/CEO

NanoNets 做什么

AI agents break where it matters most: when the details are buried in an invoice, a BoL, or a clinical document. Most agents guess. They hallucinate field values, apply rules inconsistently, and when something goes wrong, you can’t tell why or fix it without redoing the work yourself. Nanonets is built differently. Every extraction is traceable. You can see exactly what the agent read, what rule it applied, and why it made the call it did. When it’s uncertain, it flags the right thing for human review instead of silently getting it wrong. When you correct it, it learns. When you add business rules, it tracks which rule drove which decision. Anyone can build agentic workflows, but AI agents are black boxes that struggle with complex files and processes, like POs, invoices, BoLs and clinical documents. Nanonets agents understand key details in files, work through complex processes and act with transparency, making them the most reliable foundation for building workflows where details matter. Nanonets reduces processing time by 95% by automating messy manual processes and delivering clean data to systems of record like SAP, SFDC and more. That’s why Nanonets is the automation layer global enterprises reach for when accuracy is non-negotiable.

NanoNets 的 YC 申请，重建版

Y Combinator 申请

NanoNets，Winter 2017 期。来自公开数据的真实申请问题解答。

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

NanoNets

Describe what your company does in 50 characters or less.

Automatic Data Extraction

What is your company going to make? Please describe your product and what it does or will do.

We build AI-powered data extraction tools that read complex documents like invoices, bills of lading, and clinical records. Our product focuses on delivering highly accurate extracted data with full traceability so users can see exactly what was read and why decisions were made. It flags uncertain fields for human review and learns from corrections to improve over time.

Where do you live now, and where would the company be based after YC?

We live in San Francisco, and after YC the company will remain based here.

Explain your decision regarding location.

San Francisco places us close to customers, partners, and talent skilled in AI and enterprise software, which is crucial for building and scaling our product.

21 更多回答在完整申请中

Founders, Progress, Idea, Equity, Curious, Batch Preference 包含在完整版中。创建免费账户即可在 YC Insights 中打开，紧邻每个其他 YC 批次。

查看完整申请

常见问题解答

这是 NanoNets 的真实 YC 申请吗？

不是。Y Combinator 对提交的申请保密。这是重建版：使用 NanoNets 的公开数据（发布笔记、创始人背景、产品描述）回答真实的 YC 表格问题。它展示了像 NanoNets 这样的公司会如何向 YC 自我介绍，而不是他们提交的文本。

NanoNets 是哪个 YC 批次的？

NanoNets 是 Y Combinator Winter 2017 批次的成员。

谁创立了 NanoNets？

NanoNets 由 Sarthak Jain 创立。

NanoNets 做什么？