NanoNets

YC W17 · Active · Automatic Data Extraction

Competitors

Companies closest to NanoNets
Company	Category	Status	Program
IndexicalShared: data extractionInactiveAI, Devtools	AI, Devtools	Inactive	YCW23
Staple AIShared: data extraction, documentNot statedAI	AI	Not stated	EF2018
LaminarShared: agent break, why, fixActiveAI, Devtools	AI, Devtools	Active	YCS24
InvofoxShared: data extraction, document, learnActiveAI	AI	Active	YCS22
Cinnamon AIShared: data extraction, documentNot statedAI	AI	Not stated	Plug and Play

Adjacent

Companies next to NanoNets
Company	Category	Status	Program
KoncileShared: data extraction, documentNot statedOther	Other	Not stated	EF2023
TypewiseShared: why, yourself, goesActiveAI, Devtools	AI, Devtools	Active	YCS22
TextmineShared: data extraction, documentNot statedAI	AI	Not stated	Plug and Play
AgentCatShared: see exactly, agent, gettingNot statedAI, Devtools	AI, Devtools	Not stated	speedrunSR007
ElectroNeekShared: data extraction, documentActiveDevtools	Devtools	Active	YCW20

Also from W17 in AI

All of W17

Company	Category	Status
AellaDiversified credit infrastructure powering payments across Africa.ActiveAI	AI	Active
AlemHealthAI Radiologist in a Box - We provide a vertically integrated AI…ActiveAI	AI	Active
Ambient.aiAI company transforming enterprise physical security to prevent…ActiveAI	AI	Active
Bicycle AIBicycle AI provides customer support as a service. We work on top of…InactiveAI	AI	Inactive
BIOS HealthNeural interfaces to understand and use nerve data in medicine.ActiveAI	AI	Active
BountifulAn Operating System for agriculture.ActiveAI, Data	AI, Data	Active

About 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.

YC batch: W17 · Winter 2017
Status, per YC: Active
Category: AI, Developer tools
Team size: 102
Location: San Francisco, CA, USA
Checked: 32m ago

YC tags: Developer Tools, SaaS, B2B, AI

NanoNets in W17: 116 companies, 24% AI

NanoNets: questions

Which YC batch was NanoNets in?

NanoNets was in Y Combinator's Winter 2017 batch (W17).

Is NanoNets still active?

Y Combinator lists NanoNets as active.

Where is NanoNets based?

NanoNets lists San Francisco, CA, USA as its location on YC's directory.

Sources: each program's public company list, read twice a week. Not affiliated with Y Combinator or any other program. Logos via logo.dev; trademarks belong to their owners.