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Everyone is ready for Generative AI, except your data

Open up your Word and PDF documents for Generative AI 
Clean and accurate data ingestion for your RAG and LLM pipelines
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Trusted By Industry Leaders

capgemeni enterprise solutions

 

 

Common problems companies face when opening their documents for AI include:

Long documents

Lengthy documents need to be broken down into segments while keeping the context only to feed relevant information to LLMs.

Heterogeneous documents

Complex documents containing tables, text, and image icons need to be structured into content pieces. 

Documents of varying formats

Data comes in multiple document formats such as JPG, PDF, and Word with challenges beyond OCR.

Document repository

The ability to query and analyze efficiently not just 1-10, but 100’000+ documents at once.

How to get reliable, secure and comprehensive data?

user-1

Control

Every step from a document to structured data is fully within your control with integrated human-in-the-loop (HITL) function.

safety

Accuracy

Set custom parameters for additional assurance that data points are extracted exactly how you want.

any file

Traceability

Trace the output back to the original source of a document.

file-export

Collaboration

Designed for seamless collaboration among business and data teams.

 

The path to generative AI starts with data from YOUR company

Book Your Data AI-Readiness Assessment

 

Book a call with us to assess your data’s AI-readiness! Discover how we can help transform your unstructured documents into AI-ready data, enhancing your business insights and operational efficiency. A solution for your specific needs.
 
Whitepaper-1 Ai ready data
AI-Ready Data Explained

Download AI-Ready Data Explained whitepaper to discover a practical roadmap for transforming your unstructured documents into AI-ready assets. Learn how to overcome common data challenges, unlock hidden insights, and accelerate AI adoption in your enterprise. 

Download Whitepaper PDF

Webinar On Demand

Data ingestion from documents in Life Sciences.

Discover how Acodis transforms complex documents into structured data for Gen AI use cases like Chat / Search (RAG - Retrieval Augmented Generation), Content Authoring, and standardization initiatives.

Watch On Demand
Webinar - Getting Documents Ready for Gen AI-2

Why not include the entire document in the prompt for Gen AI application?

There are several reasons why you would want to avoid that.

  1. The first one is the prompt size, which heavily impacts cost and response time. So, the more context you provide to the models, the more costly it will be to generate responses and slow down the application's responsiveness.

  2. The second reason is that GPT models have certain limitations in terms of how much context they can process.

Florian Follonier
Sr. Partner Solution Architect for Data & AI, Microsoft
Florian f

What do our customers say about Acodis?

" Excellent customer support from Acodis team ensured we achieved our goal in a timely manner "

 

 

Shannon Montgomery
Senior Consultant, Capgemini Engineering

" Acodis platform is intuitive and easy to use by business users "

 

Thomas Horn
Business Architect at Syngenta Crop Protection

" By working with Acodis, extraordinarily valuable insights can be processed and made available for future research "

 

Oskar Jenni
Head of Zurich Longitudinal Studies
" Very easy and fast implementation with different connection possibilities.

Excellent Customer Service, and solution "

Vinyo D.
Project Manager IT Developement

" Acodis offers a no-code platform for fast, structured data extraction, praised for its ease of use, integrations, and responsive support "

Harald Z.