EXPERIENCE CENTER
See the flock in motion.
Interactive walkthroughs of how Warble's products fit together. No sales call required.
77%
MTTR reduction
99.9%
Production SLO
4.8x
Engineer leverage
<100ms
RAG retrieval
Knowledge Graph
How Starling, Reflexion, Murmuration, Brain, and FRAKMA compose into one system.
Hover a node to explore. Lines show how products compose into one system.
Pillar walkthroughs
Pick a pillar. See the problem, the Warble approach, and the code that runs it.
GCP-Native AI Stack
Vertex, Cloud Run, Pub/Sub — production patterns we deploy daily.
The problem · Most teams duct-tape AI prototypes onto generic infra. Latency, cost, and audit trails fall apart at scale.
- Vertex AI Agent Engine for actor/critic loops with managed evaluation
- Cloud Run with VPC Service Controls — zero public surface for inference
- AlloyDB pgvector for sub-100ms RAG retrieval with FinReg audit logging
- Pub/Sub fan-out for asynchronous agent workflows
yaml
# cloudbuild.yaml — Vertex Agent Engine deploy
steps:
- name: gcr.io/cloud-builders/gcloud
args: ['ai', 'agents', 'deploy', '${_AGENT}',
'--region=us-central1',
'--service-account=warble-agent@${PROJECT}.iam']Want this in your stack?
Talk to a human. Or grab a sandbox. Or build with us — your call.