NanoNets YCアプリケーション

Winter 2017Active

NanoNetsはWinter 2017バッチでB2B企業としてY Combinatorを卒業しました。以下：会社の事業内容、創業者、そして実際のYCフォームで質問ごとに再構築されたYCへの応募内容。

YCバッチ: Winter 2017
業界: B2BProductivity
チーム規模: 102
ステータス: Active
ローンチ済み: 2016

創業者

Sarthak JainFounder/CEO

NanoNetsの事業内容

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のYCアプリケーション、再構築済み

Y Combinator 申請

NanoNets 様、Winter 2017 バッチ。公開データから回答された、実際のフォームの質問。

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.

フルアプリケーションで21件の追加回答

はフルバージョンにあります。無料アカウントを作成して、他のすべてのYCバッチの横にあるYCインサイトで開いてください。

申請内容全体を見る

よくある質問

NanoNetsの実際のYCアプリケーションですか？

いいえ。Y Combinatorは提出されたアプリケーションを非公開にしています。これは再構築されたものです。実際のYCフォームの質問に、NanoNetsの公開データ（ローンチノート、創業者経歴、製品説明）から回答しています。NanoNetsのような会社がYCにどのようにアピールするかを示しており、彼らが提出したテキストではありません。