DataPACT Logo

Enabling Compliant, Ethical, and Sustainable Data & AI Pipelines

AI & Machine Learning

Context

DataPACT is a Horizon Europe project (ID 101189771), focused on making AI and data systems compliant, ethical, and sustainable by design. As regulations and operational complexity grow, organizations struggle to manage risk, transparency, and environmental impact across AI workflows.
DataPACT addresses this by embedding compliance, ethics, and sustainability directly into data pipelines and AI lifecycles. Through real-world use cases across multiple industries, it enables faster deployment of trustworthy, regulation-ready AI systems aligned with evolving European standards.

Countries:

NO FlagNO
MT FlagMT
ES FlagES
DE FlagDE
NL FlagNL
IT FlagIT
RO FlagRO
SK FlagSK
GR FlagGR
PT FlagPT
UK FlagUK
DK FlagDK
AT FlagAT
BE FlagBE

Services

Blockchain Development
Cloud-agnostic engineering
Data Engineering & Big Data
Generative AI
MLOps
36 months 

Engagement

€11 m

Budget

Horizon Europe 

Funding framework

Solution

AI-driven framework embedding compliance, ethics, and sustainability directly into data and AI pipelines.

Potential uses

Used by enterprises, public sector, and data teams to ensure regulatory compliance and deploy trustworthy AI systems across industries.

Challenge

Complex regulations, ethical risks, and environmental impact create major barriers to scaling compliant AI operations.

Partners

SINTEF
MOG Logo
ASSIST logo
UNIVERSITA' DEGLI STUDI DI MILANO BICOCCA Logo
International Data Spaces Association Logo
Jozef Stefan Institute Logo
University of Southampton Logo
Aristotle University of Thessaloniki Logo
Katholieke Universiteit Leuven Logo
Malta IT Law logo
Philips Healthcare Logo
Universitaet Klagenfurt
Sofia University St. Kliment Ohridski Logo
Cactus Digital Growth
Eticas logo
Kobenhavns Universitet Logo
Trondheim Kommune Logo
Serviciul de Protectie si Paza Romania Logo
The Challenge DataPACT Image

The Challenge

As artificial intelligence and data-driven systems expand across industries, organizations face increasing pressure to comply with evolving regulations, ensure ethical use, and reduce environmental impact. Frameworks such as the EU AI Act and data governance policies introduce new layers of complexity that are difficult to manage within existing infrastructures.

At the same time, data pipelines and AI lifecycles remain fragmented, with limited transparency, inconsistent validation, and manual compliance processes that are hard to scale. Ensuring fairness, accountability, and sustainability while maintaining performance and innovation creates a critical gap. Bridging this gap between regulatory requirements and operational AI systems has become a key challenge for organizations adopting AI at scale.

Solution Overview

DataPACT embeds compliance, ethics, and sustainability directly into AI and data pipelines. By integrating AI-driven validation, policy-aware processing, and cloud-agnostic environments, it enables continuous compliance, bias detection, and transparent decision-making across complex systems.

Solution Overview DataPACT Image

Objectives:

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Develop an integrated framework for embedding compliance and sustainability into AI and data pipelines
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Facilitate secure, interoperable data exchange across organizations and sectors
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Enable automated validation and monitoring of regulatory requirements across AI lifecycles
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Provide cloud-agnostic sandbox environments for testing, validation, and deployment
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Support trustworthy AI through bias detection, transparency, and human-in-the-loop mechanisms
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Reduce time-to-market for compliant, regulation-ready AI solutions across industries

ASSIST as technical partner

ASSIST Software plays a key technical role in DataPACT, contributing to the design, integration, and validation of compliance-driven AI and data systems. The team supports the development of core frameworks, tools, and environments that enable automated, scalable, and trustworthy AI operations.

Design and implement robust, scalable, compliance-aware architectures for AI and data pipelines.

Develop modular APIs and backend systems for automated validation and lifecycle management.

Enable secure, interoperable data exchange through sandbox environments and integration frameworks.

What powers DataPACT

DataPACT combines advanced technologies to build compliant, ethical, and scalable AI and data ecosystems, enabling secure, transparent, and regulation-ready operations across industries.

AI LLMS logo
CI/CD pipelines Logo
Rest API logo
DLT logo

Who DataPACT Supports

DataPACT is designed for organizations building and operating AI and data-driven systems under increasing regulatory, ethical, and sustainability requirements. It supports stakeholders responsible for ensuring compliant, transparent, and trustworthy AI across complex ecosystems.

Who DataPACT Supports Image

Target groups:

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Data & AI-driven organizations

Enterprises and public sector entities leveraging AI and data technologies across industries.

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AI, Data & MLOps professionals

Experts developing, deploying, and managing AI models and data pipelines.

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Policymakers & compliance experts

Regulators, legal professionals, and officers shaping AI governance frameworks.

Scalable, secure and streamlined solutions for your business success

For business inquiries:

+40-230-521100

icon main logohello@assist.ro

Our address:

1 Tipografiei Street 720043, Suceava, Romania

Frequently Asked Questions

1. Can you integrate AI into an existing software product?

Absolutely. Our team can assess your current system and recommend how artificial intelligence features, such as automation, recommendation engines, or predictive analytics, can be integrated effectively. Whether it's enhancing user experience or streamlining operations, we ensure AI is added where it delivers real value without disrupting your core functionality.

2. What types of AI projects has ASSIST Software delivered?

We’ve developed AI solutions across industries, from natural language processing in customer support platforms to computer vision in manufacturing and agriculture. Our expertise spans recommendation systems, intelligent automation, predictive analytics, and custom machine learning models tailored to specific business needs.

3. What is ASSIST Software's development process?  

The Software Development Life Cycle (SDLC) we employ defines the stages for a software project. Our SDLC phases include planning, requirement gathering, product design, development, testing, deployment, and maintenance.

4. What software development methodology does ASSIST Software use?  

ASSIST Software primarily leverages Agile principles for flexibility and adaptability. This means we break down projects into smaller, manageable sprints, allowing continuous feedback and iteration throughout the development cycle. We also incorporate elements from other methodologies to increase efficiency as needed. For example, we use Scrum for project roles and collaboration, and Kanban boards to see workflow and manage tasks. As per the Waterfall approach, we emphasize precise planning and documentation during the initial stages.

5. I'm considering a custom application. Should I focus on a desktop, mobile or web app?  

We can offer software consultancy services to determine the type of software you need based on your specific requirements. Please explore what type of app development would suit your custom build product.   

  • A web application runs on a web browser and is accessible from any device with an internet connection. (e.g., online store, social media platform)   
  • Mobile app developers design applications mainly for smartphones and tablets, such as games and productivity tools. However, they can be extended to other devices, such as smartwatches.    
  • Desktop applications are installed directly on a computer (e.g., photo editing software, word processors).   
  • Enterprise software manages complex business functions within an organization (e.g., Customer Relationship Management (CRM), Enterprise Resource Planning (ERP)).

6. My software product is complex. Are you familiar with the Scaled Agile methodology?

We have been in the software engineering industry for 30 years. During this time, we have worked on bespoke software that needed creative thinking, innovation, and customized solutions. 

Scaled Agile refers to frameworks and practices that help large organizations adopt Agile methodologies. Traditional Agile is designed for small, self-organizing teams. Scaled Agile addresses the challenges of implementing Agile across multiple teams working on complex projects.  

SAFe provides a structured approach for aligning teams, coordinating work, and delivering value at scale. It focuses on collaboration, communication, and continuous delivery for optimal custom software development services. 

7. How do I choose the best collaboration model with ASSIST Software?  

We offer flexible models. Think about your project and see which model would be right for you.   

  • Dedicated Team: Ideal for complex, long-term projects requiring high continuity and collaboration.   
  • Team Augmentation: Perfect for short-term projects or existing teams needing additional expertise.   
  • Project-Based Model: Best for well-defined projects with clear deliverables and a fixed budget.   

Contact us to discuss the advantages and disadvantages of each model. 

ASSIST Software Team Members