slug: unionai
provider: Union.ai
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
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: 2
edges:
- tag: Executions
  spec_file: unionai-executions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /api/v1/executions "Launch a workflow execution from a launch plan"; POST /api/v1/executions/recover
    "Recover a failed execution from the last known successful point"
  reason: Union.ai is an AI/ML orchestration control plane; these operations launch, relaunch, recover,
    terminate and inspect data for ML workflow executions, which is MLOps pipeline operation. Mapped to
    Artificial Intelligence Management; not fully 0.95 because the surface is a generic workflow orchestrator
    whose runs could serve non-ML pipelines too.
- tag: Launch Plans
  spec_file: unionai-launch-plans-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /api/v1/launch_plans "Create a versioned launch plan"; PUT ... "Update a launch plan's
    state (ACTIVE / INACTIVE) to schedule it"
  reason: Launch plans are versioned, schedulable entry points for Flyte/Union ML workflows, so the tag
    realises ML pipeline lifecycle and scheduling (MLOps) on this AI/ML orchestration platform. Moderate-high
    confidence; the orchestrator is generic enough that a pure workflow-automation reading is possible.