slug: qubrid-ai
provider: Qubrid AI
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Electrical Components & Equipment
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 5
edges:
- tag: Fine-Tuning Jobs
  spec_file: qubrid-ai-fine-tuning-jobs-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /fine-tuning/jobs createFineTuningJob 'Create a fine-tuning job'; schemas TrainingMetrics,
    Hyperparameters
  reason: Creating, monitoring and cancelling model training jobs with hyperparameters and training metrics
    is squarely AI/ML model lifecycle (MLOps) work.
- tag: Instances
  spec_file: qubrid-ai-instances-api-openapi.yml
  capability_id: BC-600.50
  capability_id_l1: BC-600
  capability_name: IT Infrastructure Management
  confidence: 0.8
  evidence: POST /instances createInstance 'Create a compute instance'; 'Terminate a compute instance';
    'Start a compute instance'
  reason: Full lifecycle control of cloud GPU compute instances is compute/cloud infrastructure management,
    not an industry-specific capability.
- tag: Fine-Tuned Models
  spec_file: qubrid-ai-finetuned-models-api-openapi.yml
  reanchored_from: qubrid-ai-fine-tuned-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: GET /fine-tuning/models listFineTunedModels 'List fine-tuned models'; schema FineTunedModel
  reason: Operations manage the inventory of fine-tuned ML models (list, delete), i.e. AI/ML model lifecycle
    management. No business capability outside AI management fits.
- tag: Chat Completions
  spec_file: qubrid-ai-chat-completions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /chat/completions  createChatCompletion  Create a chat completion
  reason: OpenAI-compatible LLM inference endpoint (ChatCompletionRequest/Response schemas). Delivery
    of AI model inference maps to Artificial Intelligence Management; it is infrastructure-adjacent so
    confidence is moderate.
- tag: Datasets
  spec_file: qubrid-ai-datasets-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: GET /fine-tuning/datasets  listDatasets  List training datasets; POST /fine-tuning/datasets  uploadDataset  Upload
    a training dataset
  reason: Management of training datasets used for model fine-tuning — part of the AI/ML model lifecycle
    (MLOps). Not generic data management since the datasets are explicitly fine-tuning artefacts.