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The AI Factory

The AI Factory

A Complete Environment for Building, Testing, and Scaling AI Solutions

The BRAIN++ AI Factory is a structured support environment for AI innovation. It combines high-performance computing, technical expertise, business support, co-working space, training, and governance into a single access model.

The Factory is built around three main project tiers:

  1. Small Projects / Services
    Short, exploratory engagements for applicants who want to test an idea, validate feasibility, or access limited AI support.
  2. Big Projects
    Structured incubation and acceleration programmes for applicants with mature AI concepts, defined milestones, and credible deployment, commercialisation, or public-impact pathways.
  3. Strategic and Core Projects
    Long-term, high-impact initiatives of national or European strategic importance, including foundational AI infrastructure and sovereign AI capabilities.
The Factory is not simply a compute allocation service. It is a managed AI innovation platform that supports projects from first concept through development, validation, deployment, and long-term scaling.

What the Factory Provides

Support Area
Description
Compute
GPU access for model training, fine-tuning, experimentation, validation, and inference
Expert support
Technical experts, AI researchers, data specialists, software engineers, and business advisors
AI consultancy
Advisory support on architecture, model selection, feasibility, and data strategy
Tools and workflows
Reusable AI workflows, development environments, integration pipelines, and sandbox environments
Data infrastructure
Federated data lake access, data management support, and governance guidance
Physical workspace
Co-working facilities at Sofia Tech Park
Training
Workshops, bootcamps, and self-paced materials
Business support
Investor readiness, pitch coaching, customer introductions, and ecosystem access
Governance
Transparent evaluation, contracting, monitoring, and reporting

Operating Principles

BRAIN++ operates according to five core principles:
Transparency
Applicants should understand how access decisions are made, which criteria are used, and what thresholds apply.
Non-discrimination
Eligible applicants are assessed using published criteria and equal procedural treatment.
Proportionality
The level of evaluation, documentation, and monitoring depends on the size, complexity, and resource intensity of the project.
Auditability
All significant decisions are documented and preserved for oversight, review, and accountability.
Separation of access and commercial decisions
Project quality assessment is separate from any commercial participation decision. This protects fairness and ensures that technical merit is evaluated independently.