Built for engineers who care about every millisecond
A transparent look at how requests flow through RALO — from the Nginx gateway, through the high-speed cache and guardrail layers, to a low-latency hit on the right model.
Pipeline visualization
Every request is authenticated, deduplicated, screened, and dispatched — securely and with minimal latency.
Nginx Gateway
Ingress, TLS termination, rate limiting
Cache Layer
Distributed semantic RAG cache
Guardrails
PII masking & policy enforcement
Model Fleet
Routed to Claude / GPT-4o / OSS
Runs where your workloads run
Edge nodes
Run the caching and routing layer on globally distributed edge points of presence for sub-100ms TTFT anywhere.
Private deployment
VPC-isolated or fully on-prem installs. Your keys, your data plane, your network boundary — RALO never sees raw payloads.
Multi-cluster cloud
Docker and Kubernetes-native. Scale horizontally across regions and clusters with declarative manifests and zero-downtime rollouts.
The whole stack, no black boxes
# ralo.yaml — declarative agent backbone
gateway:
ingress: nginx
protocols: [http2, http3, grpc]
cache:
mode: semantic
store: vector
ttl: 3600
router:
strategy: cost_quality_balance
models:
- anthropic/claude-3.5-sonnet
- openai/gpt-4o
- oss/llama-3.1-70b
guardrails:
pii_masking: true
policy: enterprise-default
deploy:
target: kubernetes
regions: [iad1, fra1, sin1]Want a deployment blueprint for your stack?
Request access and our infrastructure team will map RALO onto your existing topology.