Automate the review and processing of batch record documents

How to turn clinical studies into actionable and reusable data?

Smart automation of clinical study processing enables to easily retrieve, summarise and reuse content for Regulatory drafting:

Decrease human review time by at least 80%
Easily search and retrieve selected pieces
Run analyses across documents
Feed automated drafting tools to cut submission times
Whilst using GxP compliant systems

GET A DEMO

Why Pharma companies deploy smart automation on clinical studies?

Besides tangible ROI and productivity gains, smart automation dramatically frees up time of your professional teams and keeps their eyes on things that really matters.

Save time and gain speed
in clinical study ingestion

Smart automation eliminates manual review by instantly analysing and structuring information across hundreds of studies. Teams can search, compare, and extract key data in seconds—cutting review time by over 80% and accelerating every following step of drafting and analysis.

Gain new insights on patterns and correlations

By transforming unstructured study reports into searchable, structured data, smart automation uncovers patterns and hidden relationships. Teams can run cross-study analyses, compare outcomes, and identify emerging trends in minutes - unlocking insights to drive faster actions.

Accelerate regulatory drafting

Whether you want to answer a question, prepare a meeting with authorities or populate eCTD authoring tools, smart automation drastically accelerate your drafting cycles, reduces manual compilation errors, whilst providing reliable and traceable outputs.

How you can achieve massive productivity gains with limited setup costs:

Smart automation of clincal studies and associated documents can be implemented based on your current input channels and DMS, with flexible workflows and a combination of immediate on-screen outputs and API exports:

No major process changes, feed your current sources into a flexible workflow

Let the algorithms analyse and chunk the documents, extracting all tables, graphs, text with their context

Get answers on your questions on one or all studies through an NLP interface (e.g. similar to Chatgpt)

Automatically feed the now structured data into analytical systems, enabling deeper work on correlations, trends and outliers

Automatically feed data in structured format into drafting automation tools

Stay in control with human-in-the-loop steps, confidence scores and full traceability to the source

How document chunking creates directly usable and reliable outputs for Pharma companies?

Models chunk the data and keeps the context

The system automatically breaks down complex clinical documents into meaningful components - such as objectives, methodologies, results, actual values in all tables - while preserving their full context and metadata. This structured foundation allows precise retrieval, consistent interpretation, and seamless reuse of information across analyses and reporting.

Get answers, summaries and drafts through an NLP interface

With a natural language interface (e.g. chat), users can simply ask questions or request summaries to instantly retrieve precise information from processed studies. The system understands context, compiles relevant data, and can even generate first-draft content for faster document preparation, whilst displaying the exact sources on the same screen to facilitate cross-checking.

Feed analytical and drafting systems with FAIR data

Processed study data is delivered in a structured, machine-readable format that meets FAIR principles - findable, accessible, interoperable, and reusable. This ensures seamless integration with analytical platforms and drafting tools, enabling consistent, automated use of high-quality data across workflows.

Based on machine learning models tailored to Quality & Regulatory needs

GxP compliance by design, providing full traceabiity, auditability and replicability

Highest accuracy for complex documents, through document & table specific models

Models are fine-tuned on your data for precision and privacy. Your models, your data.

Human-in-the-loop interfaces to ensure validity and compliance of data and models

Traceability back to the source, for auditing and versioning, and avoiding the risk of hallucination

Phased implementation is the key for a quick ROI and long-term scability

Breaking down complexity in steps:

1/ Initial feasibility and scoping: 3 weeks

Running test documents
Aligning on objectives and implementation

2/ Implement the first solution: 1 month

Implement solution on first 50-100 studies
Configurate rules and actions

3/ Improve the solution: 2 months

Take user feedback to improve the solution and configuration
Define path and integration for scaling-up

4/ Roll out across products: 6 months

Build integrations and train users
Roll-out across sources and teams

Typical industry challenges

R&D and Regulatory teams spend a lot of time searching and compiling content

Standard LLMs do not provide the required accuracy and reliability

Standard IDP solutions do not provide direct value to the end-users

Our data and processes are too sensitive to be shared.

How we solve it

Smart automation makes the content easy to search, analyse and summarise

Our proprietary ML models are trained only on Pharma documents

Our platform integrates the ingestion, direct interactions and API outputs

Models dedicated to you run in your own instance. Nothing is shared.

What Do our Customers Say about Acodis?

The user friendly interface was simple to operate and did not require data engineering expertise.

Shannon M.

Digital Project Manager, Pharma

Very easy and fast implementation with different connection possibilities.
Excellent Customer Service, a fast response time and solution

Vinyo D.

Project Manager IT

Really a great product, very versatile and easy to use. The technical assistance responded quickly and competently to all our questions. Absolutely recommended.

George B.

Quality Manager, Pharma

Document processing solution to extract data from static documents for non-expert users

Thomas H.

Business Architect, Agrochemical

Frequently asked questions

Why would your models understand our clinical studies better than state-of-the art OpenAI LLMs?

Whilst LLMs are trained on the global web content, our models are trained specifically on quality and regulatory documents. When our system ingests a clinical study, it will run 15 separate models, each trained to understand specific components with accuracy (titles, tables, footnotes, etc.).

As these models are proprietary to Acodis, it is much more cost effective and traceable than systems relying purely on external LLMs.

Finally, our system can also integrates LLM post-processing, so clients actually get the best of both worlds !

Concretely, what can I get out of the systems in a few weeks?

In a couple of hours we can setup a dedicated instance and run our standard models on your studies. You immediately get the ability to query such documents through an interface similar to Chatgpt, enabling you to answer any questions, get summaries and draft pieces of content. Always with the access on-screen to the source document. So you can make sure that the output is conform to the actual content.
Within a few weeks, we can work further on the patterns of your documents and create outputs that address your business needs in a more automated fashion.

Does Acodis support GxP compliance and validation requirements?

Yes. Acodis is built to support GxP-regulated environments and aligns with GMP-compliant documentation requirements. The platform ensures traceability, complete audit trails, version control, and robust data integrity — all critical for regulated processes.

What types of documents and formats can Acodis handle, including handwritten or scanned files?

Acodis can handle a broad range of document types, including PDFs, Word files, Excel sheets, PowerPoint decks, scanned documents, images, & even handwritten text. Whether your documents are structured, semi-structured, or entirely unstructured, Acodis extracts the relevant data accurately. Even from complex formats like tables, multi-page reports, or low-quality scans.

Can Acodis integrate with our current systems (like LIMS, QMS, ERP)?

Yes. Acodis integrates seamlessly with existing enterprise systems such as LIMS, QMS, ERP, and other document or data platforms. As a SaaS solution, it supports flexible integration options including REST APIs, FTP, and other standard protocols, whether you're working in a cloud, hybrid, or on-premise environment.