Заявка NanoNets в YC

Winter 2017Active

NanoNets прошел Y Combinator в потоке Winter 2017 как компания из сферы B2B. Ниже: чем занимается компания, кто ее основал, и ее заявка в YC, реконструированная вопрос за вопросом в реальной форме YC.

Поток YC: Winter 2017
Сфера: B2BProductivity
Размер команды: 102
Статус: Active
Запущено: 2016

Фаундеры

Sarthak JainFounder/CEO

Чем занимается NanoNets

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.

Заявка NanoNets в YC, реконструирована

Заявка Y Combinator

NanoNets, батч Winter 2017. Реальные вопросы из анкеты, ответы из публичных данных.

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 еще ответ в полной заявке

Founders, Progress, Idea, Equity, Curious, Batch Preference находятся в полной версии. Создайте бесплатную учетную запись, чтобы открыть ее в YC Insights, рядом с каждым другим потоком YC.

Смотреть полную заявку

Часто задаваемые вопросы

Это реальная заявка NanoNets в YC?

Нет. Y Combinator держит поданные заявки в приватности. Это реконструкция: реальные вопросы формы YC, ответы на которые основаны на публичных данных NanoNets (заметки о запуске, бэкграунд фаундеров, описание продукта). Это показывает, как компания вроде NanoNets представила бы себя YC, а не текст, который они подали.