Aplicación YC de NanoNets

Winter 2017Active

NanoNets pasó por Y Combinator en el batch Winter 2017 como una empresa de B2B. Abajo: qué hace la empresa, quién la fundó y su aplicación a YC, reconstruida pregunta por pregunta en el formulario real de YC.

Batch YC: Winter 2017
Industria: B2BProductivity
Tamaño del equipo: 102
Estado: Active
Lanzado: 2016

Fundadores

Sarthak JainFounder/CEO

Lo que hace 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.

Aplicación YC de NanoNets, reconstruida

Solicitud de Y Combinator

NanoNets, batch Winter 2017. Las preguntas reales del formulario, respondidas con datos públicos.

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 respuestas más en la aplicación completa

están en la versión completa. Crea una cuenta gratuita para abrirla en YC Insights, junto a cada otro batch de YC.

Ver aplicación completa

Preguntas Frecuentes

¿Es esta la aplicación YC real de NanoNets?

No. Y Combinator mantiene privadas las aplicaciones enviadas. Esta es una reconstrucción: las preguntas reales del formulario de YC, respondidas a partir de los datos públicos de NanoNets (notas de lanzamiento, antecedentes de fundadores, descripción del producto). Muestra cómo una empresa como NanoNets se presentaría a YC, no el texto que enviaron.

¿En qué batch de YC estuvo NanoNets?

NanoNets formó parte del batch Winter 2017 de Y Combinator.

¿Quién fundó NanoNets?

NanoNets fue fundado por Sarthak Jain.

¿A qué se dedica NanoNets?

Automatic Data Extraction

¿Cómo leo la aplicación completa reconstruida?

Crea una cuenta gratuita de Round Funded. La versión completa de 26 respuestas de la aplicación de NanoNets, y de cada otro batch de YC, está en YC Insights.