Reducto - Unlocking data behind complex documents

The Power of Reducto: Transforming PDFs into Actionable Data

What is Reducto?

Reducto is a pioneering start-up founded in 2023 by Adit Abraham and Raunak Chowdhuri, both of whom have impressive backgrounds in computer science and machine learning. The company focuses on unlocking data behind complex documents by providing robust and reliable document ingestion for any workflow. Reducto's API is designed to convert complex, unstructured documents into structured outputs suitable for Retrieval-Augmented Generation (RAG), process automation, and more.

Who are the Founders of Reducto?

Reducto is led by two active founders, Adit Abraham and Raunak Chowdhuri, who bring a wealth of experience and expertise to the company.

Adit Abraham

Adit Abraham is the Co-founder and CEO of Reducto. Before co-founding Reducto, Adit studied Computer Science at MIT. He has an extensive background in product management for Google, focusing on Ads and Search technologies. Additionally, Adit conducted machine learning research at MIT's Media Lab. In his leisure time, he enjoys playing Pokémon Showdown.

Raunak Chowdhuri

Raunak Chowdhuri is the Co-founder and CTO of Reducto. Before Reducto, Raunak also studied Computer Science at MIT. He founded and scaled a computational chemistry consulting company to achieve an annual recurring revenue (ARR) of $200k. Moreover, Raunak has published computer vision papers with over 100 citations, all before finishing high school. He is also known for his active presence on Twitter.

What Problem Does Reducto Address?

The primary problem Reducto aims to solve is the inefficiency and complexity of extracting data from unstructured documents, particularly PDFs, which are the standard format for enterprise knowledge across various industries. Nearly 80% of enterprise data exists in unstructured formats, including PDFs containing insurance claims, financial statements, invoices, and health records. These documents pose a significant bottleneck for digital workflows, leading to wasted hours every week.

Traditional methods, including Optical Character Recognition (OCR) and advanced machine learning techniques, often fail to reliably extract information from complex PDFs. Issues such as jumbled text from different columns, ignored figures, and problematic tables necessitate significant engineering efforts to build specialized pipelines for each document type.

How Does Reducto Solve This Problem?

Reducto tackles the challenge of complex document ingestion with an innovative approach. The company's solution involves breaking document layouts into subsections and contextually parsing each section based on its content type. This is achieved through a combination of vision models, large language models (LLMs), and a suite of heuristics developed over time. Reducto’s capabilities include:

  • Accurate extraction of text and tables from nonstandard layouts.
  • Automatic conversion of graphs to tabular data and summarization of images within documents.
  • Extraction of important fields from complex forms using simple, natural language instructions.
  • Building powerful retrieval pipelines utilizing Reducto’s document metadata.
  • Intelligent chunking of information based on the document’s layout data.

What is the Story Behind Reducto's Creation?

The inception of Reducto traces back to the experiences of its founders, Raunak and Adit, who met four years ago while studying computer science at MIT. Their journey in building machine learning products at companies like Google and NVIDIA highlighted the significant challenges of document ingestion, particularly when consulting for teams integrating large language models (LLMs) into their applications. These challenges inspired them to create Reducto, aiming to provide a more efficient and reliable solution for document ingestion.

What Makes Reducto Unique?

Several aspects set Reducto apart from traditional document ingestion solutions:

Advanced Technology Integration

Reducto leverages a sophisticated combination of vision models, LLMs, and heuristics to accurately parse and extract data from complex documents. This advanced integration allows for a higher degree of precision and reliability compared to traditional OCR and machine learning methods.

Versatility in Document Types

Reducto’s technology is designed to handle a wide variety of document types and layouts, including those with nonstandard formats. This versatility makes it a valuable tool for industries that rely heavily on complex documentation, such as finance, insurance, and healthcare.

User-Friendly API

The API provided by Reducto is designed to be user-friendly, allowing developers to easily integrate it into their existing workflows. This ease of integration ensures that businesses can quickly adopt and benefit from Reducto's capabilities without significant disruption to their operations.

Focus on Automation and Efficiency

By converting unstructured documents into structured outputs, Reducto significantly enhances process automation and efficiency. This focus on automation helps businesses save time and resources, allowing them to concentrate on more strategic tasks.

What are the Benefits of Using Reducto?

Improved Data Accuracy

Reducto’s ability to accurately extract text, tables, and other critical data from complex documents ensures that businesses have access to precise and reliable information. This improved data accuracy is crucial for making informed decisions and optimizing operations.

Enhanced Workflow Efficiency

By automating the extraction and structuring of data from unstructured documents, Reducto streamlines workflows and reduces the manual effort required. This enhancement leads to increased productivity and faster turnaround times for data processing tasks.


Reducto’s robust technology can scale to meet the needs of businesses of all sizes, from small startups to large enterprises. This scalability ensures that Reducto can grow alongside its clients, providing continuous support as their document ingestion needs evolve.

Cost Savings

The automation and efficiency gains provided by Reducto translate into significant cost savings for businesses. By reducing the time and resources required for document processing, companies can allocate their budgets more effectively and improve their overall financial performance.

What is the Future of Reducto?

As Reducto continues to grow and evolve, the company aims to expand its capabilities and reach. Future developments may include enhancements to the API, additional features for even more precise data extraction, and partnerships with other technology providers to further integrate Reducto’s solutions into a broader range of applications.

In conclusion, Reducto is poised to revolutionize the way businesses handle document ingestion, offering a powerful and reliable solution to a critical bottleneck in many industries. With its innovative technology, experienced founders, and focus on automation and efficiency, Reducto is well-positioned to become a leader in the field of document processing.