Nanonets
nanonets.com
Actively hiring
Document AI
Machine Learning
Computer Vision
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Financials
Funding and backers
Total raised
$29M
1 round on record
Latest round
$29M
Venture round · Mar 2024 · 2 yr ago
Team
51-200
employees, estimated range
Hiring now
3
open roles
Backers
4
Y Combinator, Elevation Capital
The money's age
Long since its last round
31 months since the last round · hiring slowed
Momentum
0/100
no fresh signals
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jan 15
On the Hacker News front page LLM Structured Outputs Handbook · 377 points
Mar 12, 2025
Launched on Hacker News Show HN: OCR Benchmark Focusing on Automation
Mar 12, 2024
Raised a round Venture round $29M · Business Insider
Jan 22, 2020
On the Hacker News front page Table Detection and Extraction Using Deep Learning · 154 points
Sep 12, 2019
On the Hacker News front page Building a license plate reader from scratch with deep learning · 230 points
May 8, 2019
On the Hacker News front page Human Pose Estimation with Deep Learning · 135 points
Jan 2017
Went through Y Combinator
2016
Founded
Tractionpublic signals, read monthly
Web presence
top 0.29%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Mar 2024 | $29M | — | Business Insider |
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator 
Elevation Capital 
Accel 
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News
Context Graph vs RAG vs Raw Context - A benchmark for agent memory
We benchmark context graphs against other methods of agentic memory, and discuss what each method got right and wrong.
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Report
What Are Context Graphs? (And Why AI Agents Need Them)
We explain why AI agents need to capture decisions, how context graphs achieve this, and how AI agents can use these graphs.
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Report
Nanonets OCR-3: A multimodal OCR model with bounding boxes & confidence scores
The only OCR model you'll ever need for your agentic stack. Purpose-built VLM with native bounding box and confidence score support. #1 on OlmOCR and IDP leaderboard.
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AI Agent Hacks McKinsey: When You Should Not Deploy Agents
McKinsey hacked in 2 hours. 5 situations where AI agents will fail. Production permissions, regulated data, legacy systems-check before deploy.
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Report
We ran 16 AI Models on 9,000+ Real Documents. Here's What We Found.
We benchmarked GPT-5.4, Gemini 3.1 Pro, Claude Opus, Sonnet, and 12 others on 3 Open OCR Benchmarks
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Report
Structured LLM outputs
A practical handbook for developers using LLMs to get structured outputs.
Read more
Report
Evaluating OCR-to-Markdown Systems Is Fundamentally Broken (and Why That's Hard to Fix)
Evaluating OCR systems that convert PDFs or document images into Markdown is far more complex than it appears. Unlike plain text OCR, OCR-to-Markdown requires models to recover content, layout, reading order, and representation choices simultaneously. Tod
Read more
Report
nanonets/Nanonets-OCR2-3B Hugging Face
We're on a journey to advance and democratize artificial intelligence through open source and open science.
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Show more news
Tech stack
Technologies named in job postings at Nanonets over the last 12 months, by layer, with the share of postings for each.
Technologies in use
33
Postings analysed
15
Stack modernity
90/100AI adopter
Languages
Python33%
JavaScript33%
Go20%
Node JS7%
Frameworks & libraries
React.js13%
PyTorch7%
TensorFlow7%
Databases
Cassandra20%
MySQL7%
PostgreSQL7%
Cloud & platforms
Kubernetes20%
Hugging Face13%
AWS7%
GCP7%
AI & ML
LLM13%
Claude7%
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Full Nanonets tech stack
33 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$250k
Typical range
$130k – $350k
Open positions
3
3
Jobs
Middle
33.3%
Senior
33.3%
Architect
33.3%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 1 | $130k | $130k |
| Senior | 1 | $250k | $250k |
| Architect | 1 | $350k | $350k |
Highest paying role
Director of Strategic Partnerships
$350k
Normalized to USD per year
Growth
Hiring Momentum
80/100
Scaling fast
Open positions
3
1 opened / 9 closed in 30 days
Median time-to-fill
61 days
faster than 22% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Sales
56% ▼
AI/ML
11% ▼
Backend
11% ▲
Product
11% ▲
Marketing
11% ▲
Activity Timeline
Added Machine Learning to stack
Sep 2026
Added LinkedIn to stack
Sep 2026
New location: Palo Alto
Sep 2026
New location: San Francisco
Sep 2026
Added QuickBooks to stack
Sep 2026
Added Agentic Workflows to stack
Sep 2026
Added World Models to stack
Sep 2026
Added HubSpot to stack
Sep 2026
Added Fine-tuning to stack
Sep 2026
Added YouTube to stack
Sep 2026
Added SQL to stack
Sep 2026
Added AI Agents to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
San Francisco
Loading the map
Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
2261 Market Street #4010,
1 open roles 1 posted in 90 days 10-50 est. staff $130k Avg Salary
hires for Sales
Palo Alto
United States
Sales office
3 open roles 4 posted in 90 days 10-50 est. staff $243k Avg Salary
hires for Sales
380 Portage Ave, Palo Alto, CA
Earlier presence
Bengaluru, India
Gurgaon, India
Financials
Total raised
$29M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2024 | $29M | Details |