Nanonets is a San Francisco–based AI automation and integration platform that specializes in intelligent document processing, workflow automation, and system integration. Founded with the mission to eliminate manual data entry, Nanonets leverages machine learning and AI to extract, process, and integrate information from a wide range of sources. Its focus is on helping businesses transform unstructured and semi-structured data into actionable insights while ensuring seamless integration with both legacy and modern systems.
As an agentic AI integration partner, Nanonets enables organizations to connect data-heavy legacy systems with modern digital ecosystems. Its intelligent OCR and AI models automate document-based workflows, turning outdated processes into real-time digital solutions. By embedding AI agents into data pipelines, Nanonets ensures businesses can modernize their legacy operations while reducing errors, improving efficiency, and accelerating decision-making.
Nanonets uses AI-powered OCR to automatically extract data from scanned documents, PDFs, and images. Instead of employees spending hours typing information into systems, Nanonets captures and structures it in real time. This reduces human error, speeds up processing, and frees employees to focus on higher-value tasks. For enterprises, it drastically lowers operational costs while improving data accuracy and workflow efficiency.
Yes, Nanonets is built with integration in mind. Its API framework allows processed data to be sent directly into legacy ERPs, CRMs, or custom in-house applications. Even if an organization uses decades-old infrastructure, Nanonets ensures data flows seamlessly into those systems. This makes modernization possible without replacing the legacy environment, allowing businesses to retain their critical systems while still benefiting from AI-powered efficiency.
Industries that deal with heavy documentation and compliance gain the most. For example, banks use it for automating KYC processes, insurers use it for claims processing, and healthcare providers use it to digitize patient records. Manufacturing and logistics companies also benefit by automating invoices and shipping documents. Essentially, any industry with paper-heavy workflows or legacy databases can modernize using Nanonets’ solutions.
Nanonets provides pre-trained models for common use cases like invoice processing but also allows businesses to train custom models for unique document types. The platform uses supervised learning, where companies upload samples, and the AI learns to extract the relevant fields. Over time, the AI improves its accuracy by learning from corrections made by users. This ensures businesses get AI models tailored to their exact industry and workflow needs.
No, Nanonets is designed for ease of use. Business users can set up document workflows with minimal technical skills, while IT teams can manage deeper integrations via APIs. Its cloud-based deployment also means organizations don’t need to maintain heavy infrastructure. For companies without large IT departments, Nanonets provides a way to modernize and integrate workflows without overwhelming technical complexity.
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