Turn AI Ambition into Compliant, High ROI Reality

What is it:

Alera is NNIT’s validated AI platform for systematic, repeatable AI use in regulated environments.

Alera features role-based AI agents, curated knowledge, and full transparency, enabling teams to work with accountable AI in a secure chat interface and automate regulated tasks.

Why It Matters:

• Validated AI that scales: Regulated industries need reliable AI tools that function across multiple workflows. Standard AI copilots are not up to this task.

• Built for governance and auditability: Designed for validation, observability, and traceability so AI can be trusted in critical processes.

• Secure and cloud-agnostic: Deploy in your preferred environment, integrate with regulated systems, and get your own customized version.

Example Use Cases:

• Enable hybrid teamwork with specialized AI-agents working alongside human consultants in defined roles (PM, validation, development, testing).

• Harmonize global master documents with local regulatory or market-specific versions to ensure that local adaptations remain consistent with approved content.

• Orchestrate chains of agents for contained tasks like comparing data, finding discrepancies, suggesting resolutions, translating, and escalating to humans when needed.

• Analyze drug databases, patient records, and literature to detect potential drug–drug interactions and adverse effects.

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What is it:

Lumina is NNIT’s AI-enabled delivery method for legacy transformation and application modernization in regulated environments.

It brings requirements, decisions, code, tests and documentation into a shared, version-controlled context and coordinates specialized AI agents under clear governance and human approval.

Why It Matters:

• Faster modernization with less risk: Accelerates requirements-to-code and automates test and validation, while keeping changes traceable, controlled and fully documented.

• Shine a light on existing code: Lumina can analyze existing code and documentation, identify gaps and produce updated, reliable documentation that adheres to approved standards.

• AI model agnostic: Lumina is not locked into a single AI technology or vendor. It supports full data and infrastructure sovereignty. 

Example Use Cases:

• Modernizing legacy public-sector or regulated applications by creating reliable insight into existing code and documentation.

• Translating requirements into structured development tasks with consistent context for teams and AI agents.

• Keeping documentation and test foundations continuously updated as requirements change.

• Establishing a repeatable, governed way to apply AI across the Secure Development Lifecycle (analysis, build, test, documentation) for DevSecOps-ready delivery.

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What It Is:

FRED is NNIT’s AI assistant designed specifically for Veeva users in Life Sciences. FRED brings smart search, automated summarisation, and proactive assistance directly into your day-to-day workflows.

Why It Matters:

• Work Inside Veeva: No jumping between systems — everything happens in your familiar environment.

• Better Productivity: Spend less time searching for information and more time making impactful decisions.

• Customised to You: Fine-tuned for your company’s processes, policies, and compliance requirements.

Example Use Cases:

• Instantly locating approved content and regulatory submissions in large Veeva libraries.

• Auto-generating summaries for approval workflows.

• Suggesting next best actions in clinical or quality project tasks.

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