Nanonets
As of 1 November 2026, Nanonets has 7 open roles (0 new in 30 days), its customer service & success team is hiring most, and its postings name PyTorch, DeepSpeed and Python as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- San Francisco, California, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- finance, operations, healthcare
- Certifications on site
- HIPAA, ISO 27001, SOC 2
- Site languages
- EN
- Career system
- Ycombinator
Nanonets in one screen
Read from nanonets.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Nanonets is an AI software company that builds agents to automate complex, document-heavy business processes for enterprises. Its offerings include data extraction, invoice processing, order processing, shipment reconciliation, and loan processing, powered by context graphs that connect documents, systems and rules. It serves finance, operations and healthcare sectors and integrates with ERP, CRM and other enterprise systems.
Named on the site: finance, operations, healthcare, finance and accounting, operations and logistics.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 594 scored.
What Nanonets says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Design distributed training pipelines for models with billions of parameters using PyTorch FSDP/DeepSpeed• Design distributed training pipelines for models with billions of parameters using PyTorch FSDP/DeepSpeed• Proficiency in Python for scripting or building solutions• Comfort using Git for version control and collaborationMulti-modal Innovation: Tackle alignment challenges between vision and language models, reduce hallucinations, and improve cross-modal understanding using techniques like RLHF and PEFT• Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT etc., and experience in implementing those in pytorch/jax/tensorflow.• Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT etc., and experience in implementing those in pytorch/jax/tensorflow.Production ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLMProduction ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLMProduction ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM• Experience with Theano/Torch/Caffe/Keras/Python/Tensorflow all useful• Experience with Theano/Torch/Caffe/Keras/Python/Tensorflow all useful• Knowledge of efficient inference techniques (ONNX, TensorRT, quantization)• Experience with model serving frameworks (TorchServe, Triton, Ray Serve, vLLM)Vendors whose code loads on nanonets.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
7 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring customer service & success in United States →
| open · new 30 d | |
|---|---|
| Customer service & success | 2 · 0 |
| Data & AI | 2 · 0 |
| Sales | 2 · 0 |
| Marketing & communications | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator.Backed by $40M+ in total funding including our recent $29M Series B from Accel, alongside Elevation Capital and Y Combinator, we're scaling our deep learning capabilities to serve enterprise clients including Toyota, Boston Scientific, and Bill.com.Sales, marketing and IT leaders by function. Add Nanonets to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Nanonets
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 594 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Nanonets (San Francisco, United States, 51-200 employees) has 7 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/nanonets.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from nanonets.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ycombinator career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Nanonets: questions
Does Nanonets use PyTorch?
Yes, by the company's own words: 2 postings name it, first seen 2024-06-06, in the data & ai team.
Is Nanonets hiring?
7 open roles as of 1 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is customer service & success.
Where does this profile come from?
From nanonets.com itself: we crawled it on 2026-08-07, built the profile on 2026-08-16, and read its career site (Ycombinator) hourly since. Headcount is from LinkedIn.
Who should I write to at Nanonets?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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