Nanonets News & Updates

What is Nanonets?

Nanonets is an AI APIs tool that automates manual processes and delivers clean data to systems of record. Nanonets is a paid tool. A free trial is available. It is aimed at enterprises, finance teams and operations teams.

Nanonets automates manual processes like accounts payable and order management, delivering clean data to systems such as SAP and Salesforce. It uses AI agents to handle complex tasks and improve efficiency.

Built for enterprises, finance teams and operations teams.

Key capabilities

Features

AI Agents
Work tirelessly to handle tasks without human intervention
Context Graphs
Help agents solve complex problems with contextual data
Self-Learning Loops
Exception SOP
ERP Order Record
Call Notes & Email
Return History

Use cases

Automate accounts payable processes
Automate order management workflows
Deliver clean data to systems of record like SAP and Salesforce

Popular use cases

Automate Workflows

Who it's for

Pros & cons

Pros

Public API available
Free trial available
Integrates with Zapier

Cons

No documented limitations yet.

Pricing

Paid. Free trial available.

Nanonets plans
Plan	Price
Starter	$50
Standard	$0.1

See current pricing on Nanonets's website

AI models

GPT 5

Developer & API

Public webhook API available

Authentication: API Key
Webhooks: Supported

API documentation

Security & compliance

SOC 2
ISO 27001
GDPR
HIPAA
SSO
SAML
Encryption
Data deletion

As stated on Nanonets's website — not independently verified by AiByts.

FAQ

What is Nanonets?

Nanonets is an AI APIs tool that automates manual processes and delivers clean data to systems of record. Nanonets automates manual processes like accounts payable and order management, delivering clean data to systems such as SAP and Salesforce. It uses AI agents to handle complex tasks and improve efficiency.

Is Nanonets free?

No, Nanonets is a paid tool. A free trial is available.

How much does Nanonets cost?

Nanonets offers 2 plans: Starter ($50) and Standard ($0.1).

Does Nanonets have an API?

Yes, Nanonets offers a public webhook API with webhooks for building custom integrations.

Who should use Nanonets?

Nanonets is built for enterprises, finance teams and operations teams. Common uses: automate accounts payable processes, automate order management workflows and deliver clean data to systems of record like SAP and Salesforce.

What does Nanonets integrate with?

Nanonets integrates with Slack, Zapier, Notion, Google Drive, Google Sheets, Gmail, Outlook and Excel, among 31 integrations.

What are the best alternatives to Nanonets?

Similar tools on AiByts include Respira for WordPress, TypeSafe AI, Dialogflow Conversational AI, Fireworks AI and Social Fetch.

Nanonets news & updates

Context Graphs vs Vector RAG vs Raw Context - Agentic memory benchmark
We benchmark context graphs against other methods of agentic memory, and discuss what each method got right and wrong.
Nanonets BlogJul 1, 202620 min read
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.
Nanonets BlogJul 1, 202620 min read
SAP Sapphire 2026: The Complete Breakdown
All 25 announcements from Orlando, what's actually shipping vs. what's marketing — and what it means for the document and data foundation of the autonomous enterprise.SAP's Sapphire 2026 in Orlando was the most AI-dense keynote in the company's history. Christian
Nanonets BlogMay 21, 202610 min read
Claude for Legal Teams: Contract Review, Compliance and Due Diligence
See how the Claude legal plugin helps in-house legal teams with contract review, compliance scanning, due diligence, obligations tracking, and drafting.
Nanonets BlogApr 21, 202611 min read
Vibe Coding Best Practices: 5 Claude Code Habits for Better Agentic Coding
Learn 5 practical vibe coding best practices for Claude Code and coding agents: CLAUDE.md, planning, review agents, safer prompts, and diff review.
Nanonets BlogApr 16, 202610 min read
AI Benchmarks Explained: GPQA, SWE-bench, Chatbot Arena and What They Actually Measure
Learn what MMLU, GPQA Diamond, SWE-bench, HealthBench, and Chatbot Arena actually measure, and how labs game benchmark scores.
Nanonets BlogApr 10, 202612 min read
Why AI-Native IDP Platforms Outperform ABBYY and Kofax in Modern Document Workflows
Evaluating IDP vendors? Compare Nanonets vs ABBYY and Kofax across architecture, operating model, and TCO to see why AI-native wins for IDP.
Nanonets BlogApr 10, 20266 min read
Why You Hit Claude Limits So Fast: AI Token Limits Explained
Learn what AI tokens are, why Claude hits limits fast, and how to cut waste from context windows, history, files, tools, and reasoning.
Nanonets BlogApr 8, 202612 min read
Did Google's TurboQuant Actually Solve AI Memory Crunch?
Google’s TurboQuant promises 6x KV-cache compression. Here’s what it means for AI memory, HBM demand, and the broader memory crunch.
Nanonets BlogApr 2, 20269 min read
Claude for Finance Teams: Investment Banking, DCF Models, Reconciliation & Variance Analysis
A practical guide to using Claude for investment banking materials, comparable company analysis, DCF models, month-end reconciliation, and variance commentary, with screenshots, setup steps, and honest caveats.
Nanonets BlogMar 23, 202612 min read
AI Agent Hacks McKinsey: 5 Situations 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.
Nanonets BlogMar 14, 202610 min read
Are OpenAI and Google intentionally downgrading their models?
Yes, OpenAI and Google degrade their models. OpenAI admitted silent updates after denying it. Gemini redirects models. With full evidence.
Nanonets BlogMar 12, 202611 min read
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
Nanonets BlogMar 11, 20266 min read
AI Arms Race Has Real Numbers: Pentagon vs China 2026
AI targeting systems executed 900 strikes in 12 hours, a pace that previously took weeks. Maven, Palantir, and frontier models are operational in active conflict. The Pentagon just banned Anthropic and switched to OpenAI while strikes continue. The arms race has numbers now.
Nanonets BlogMar 6, 202610 min read
Stop Paying for AI You Don't Use: The Case for Fine-Tuned Models
Processing 10,000 documents daily through GPT or Claude costs $50K annually. Fine-tuned models: $5K. Same accuracy. Faster latency. Data never leaves your control. But most teams don't realize this is now viable. Here's when frontier models make sense and when you're overpaying.
Nanonets BlogMar 2, 20268 min read