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Di.Gi. Academy
ISAC4PMI

ISAC4PMI is part of Di.Gi. Academy.

Case study

How Di.Gi. Academy Built a Sovereign AI Knowledge Platform with LRND.ai

Delivering a white-label AI assistant and headless document intelligence for the ISAC ecosystem.

Client

Di.Gi. Academy

Industry

Cybersecurity Education and Training

Solutions delivered

White-label AI knowledge management platform
Headless AI APIs for document intelligence
Retrieval-Augmented Generation (RAG)
Deadline extraction and workflow automation
Dedicated AI infrastructure powered by Mistral

Di.Gi. Academy partnered with LRND.ai to bring secure, sovereign AI to its ISAC platform for the cybersecurity training community. LRND.ai delivered Cy.Co., a fully white-label AI knowledge management platform, alongside a set of headless APIs for automated deadline extraction — all running on dedicated infrastructure powered by Mistral, a European large language model. The result is a privacy-first AI experience that feels like a native part of ISAC while LRND.ai provides the intelligence layer behind the scenes.

The challenge

Di.Gi. Academy wanted to enhance its ISAC platform with AI capabilities that could help users access information faster, reduce manual effort, and improve engagement with cybersecurity training content. The team faced two key challenges. First, users needed a better way to navigate large volumes of technical documentation, training videos, policies, and learning resources. Second, critical deadlines and time-sensitive information were often buried within lengthy documents, requiring users to manually search, identify, and track important dates. Di.Gi. Academy needed a solution that could turn static content into a searchable knowledge base, deliver accurate source-backed AI responses, automatically identify important dates and deadlines, maintain complete control over branding and user experience, keep sensitive information secure and isolated, and scale as adoption increased. Traditional AI tools could not meet these requirements without compromising on user experience, data privacy, or flexibility.

The solution: Cy.Co., a white-label AI knowledge management platform

LRND.ai designed and developed the complete Cy.Co. platform, including both the frontend and backend. Integrated directly within ISAC, Cy.Co. acts as an AI-powered knowledge companion that enables users to access information, collaborate, and learn without leaving the platform. To end users, Cy.Co. feels like a native ISAC feature; behind the scenes, LRND.ai provides the intelligence layer that powers the experience. Key capabilities include AI-powered search across documents, videos, and training materials; retrieval-augmented generation (RAG) for accurate, context-aware responses; source citations linked directly to original materials; persistent chat history and knowledge retrieval; collaborative note-taking and shared workspaces; automated quiz generation from existing content; and centralised management of technical documentation and policies. By transforming documents into a conversational knowledge base, Cy.Co. makes critical information easier to access, understand, and retain.

Headless AI APIs for deadline extraction

Alongside Cy.Co., LRND.ai developed a set of headless APIs that analyse user documents and automatically identify important dates and deadlines. Using natural language processing and custom normalisation models, the system extracts time-sensitive information from unstructured content and surfaces it directly within the ISAC interface. Users no longer need to manually review lengthy documents to identify key actions or upcoming deadlines. The API-first approach allows ISAC to integrate this intelligence seamlessly into its existing workflows while maintaining complete control over the user experience.

Building with sovereign AI

Security and data privacy were critical requirements throughout the project. Cy.Co. and the supporting APIs run on dedicated infrastructure, ensuring Di.Gi. Academy’s data remains isolated and secure. Unlike shared AI environments, customer data never mixes with other organisations’ information. The solution is powered by Mistral, a European large language model selected to support data sovereignty and align with European data protection standards. This enables Di.Gi. Academy to deliver a privacy-first AI experience while maintaining full control over its data and infrastructure.

Why headless architecture mattered

LRND.ai’s API-first approach enabled Di.Gi. Academy to separate AI functionality from the user interface. This provided the flexibility to build custom user experiences while leveraging enterprise-grade AI capabilities behind the scenes. LRND.ai manages retrieval-augmented generation (RAG), natural language processing, knowledge retrieval, deadline extraction, document normalisation, AI orchestration, and secure infrastructure. Di.Gi. Academy maintains complete ownership of the frontend experience. The result is a seamless, branded platform where AI feels like a natural extension of ISAC.

The outcome

With LRND.ai, Di.Gi. Academy has created an AI-powered experience that combines knowledge management, workflow automation, and secure document intelligence. The organisation can now deliver a fully branded AI assistant within ISAC, turn cybersecurity content into a searchable knowledge base, provide transparent source-backed answers, automatically surface deadlines hidden within documents, reduce manual effort and improve productivity, offer a privacy-first AI experience powered by European technology, and scale AI capabilities as user needs evolve.

Key takeaways

Fully white-labeled AI knowledge management platform

Headless AI APIs integrated directly into existing workflows

Automated extraction of deadlines from unstructured documents

Dedicated infrastructure for enhanced security and data privacy

Retrieval-augmented generation for accurate, source-backed responses

Sovereign AI powered by European models

Looking to build your own AI-powered platform?

LRND.ai helps organisations create secure AI assistants, AI knowledge management systems, and custom AI workflows that integrate seamlessly into existing products. Whether you need a white-label AI platform, headless AI APIs, or document intelligence capabilities, our team can help you deliver AI experiences that are secure, scalable, and built around your brand.

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How LRND stays trustworthy

Built to be checked, not just trusted

Answers cite your sources

Every tutor response links back to the exact lecture, PDF, or note it came from, so you can verify before you commit it to memory.

One workspace, many modules

Notes, flashcards, mock exams, mind maps, and summaries all build off the same uploads — no copy-pasting between tools.

Retrieval-grounded, not guesswork

Generation runs over the material you actually uploaded, not the open web. That keeps the output on-syllabus and reduces hallucination risk.

Your uploads stay yours

We don't train AI models on your study material. Files are stored to power your workspace and can be deleted any time.

Frequently asked questions

It is an AI-powered knowledge platform that you deploy under your own brand and within your own product. With Cy.Co., LRND.ai built the complete frontend and backend so it feels like a native feature of Di.Gi. Academy’s ISAC platform, while LRND.ai provides the underlying AI intelligence layer.

Cy.Co. and its supporting APIs run on dedicated infrastructure, so each organisation’s data remains isolated and never mixes with other customers’ information. The solution is powered by Mistral, a European large language model, to support data sovereignty and alignment with European data protection standards.

The headless APIs analyse uploaded documents and automatically identify important dates and deadlines using natural language processing and custom normalisation models. Time-sensitive information is extracted from unstructured content and surfaced directly within the host application, so users no longer have to review lengthy documents manually.

A headless approach separates AI functionality from the user interface. LRND.ai manages RAG, natural language processing, knowledge retrieval, deadline extraction, document normalisation, AI orchestration, and secure infrastructure, while the client retains complete ownership of the frontend experience and branding.

Retrieval-augmented generation (RAG) grounds every AI response in the organisation’s own documents and links answers back to the original source materials. This delivers accurate, context-aware, source-backed responses rather than unverified generic answers.

Yes. LRND.ai builds secure AI assistants, AI knowledge management systems, and custom AI workflows that integrate into existing products. Whether you need a white-label platform, headless AI APIs, or document intelligence, the team can deliver secure, scalable AI experiences built around your brand. Get in touch to discuss your requirements.