Agentic Ops Platform

Infrastructure that reasons,
acts, and self-corrects.

Four deeply integrated service pillars — each powered by the same Reflexion engine — deployed inside your VPC with zero data exfiltration.

Start with the Reflexion Engine
AI-Driven SRE · Live Demo

The Reflexion Engine

Actor/Critic loops that resolve incidents before your on-call wakes up.

  • Continuous observe → hypothesise → critique → act loop
  • 63% auto-remediation rate on known incident patterns
  • Human-in-the-loop gate for blast-radius > 3 nodes
  • Sub-1K token actions via Dual-Brain isolation
  • AlloyDB pgvector knowledge base — sub-100ms retrieval
See the Reflexion Engine
reflexion-engine — live running

Observer: p99 latency spike on api-gateway → 2.4s

Hypothesis: OOM on inference-worker-7f9b (confidence 91%)

Critic: SLO baseline within 95% — blast radius: 1 pod

Action: kubectl patch deployment inference-worker --mem=4Gi

Resolved: MTTR 4 min 12 sec — p99 → 180ms

58m
4.2h
MTTR
63%
0%
Auto-Remediation
< 1K
50K
Token Cost / Incident
Vertex AI · AlloyDB · Cloud Run

MLOps / AIOps Platform Build

Go from prototype to production-grade inference in weeks, not quarters.

  • Vertex AI pipeline design, training, and serving automation
  • RAG architecture with AlloyDB pgvector + RLS multi-tenancy
  • Serverless Cloud Run inference with GPU concurrency modeling
  • Per-model cost attribution with Stripe metered billing integration
  • SOC 2 / GDPR / HIPAA compliance by design
Platform Build — 6 Week Sprint
Week 3 / 6
Model Design
Vertex AI pipeline + RAG architecture
Infra Provisioning
GKE + AlloyDB + Cloud Run (IaC)
Inference ServingIn Progress
GPU concurrency + serverless autoscaling
SOC 2 Compliance
VPC-native, RLS, audit trails built-in
6 weeks
Prototype → Production
48 hrs
Compliance Ready
GCP · Terraform · Token Governance

Cloud FinOps & Cost Engineering

Stop the $847K/yr GPU waste before it compounds.

  • Per-model token cost attribution across multi-cloud workloads
  • Mathematical VM rightsizing — only execute if projected SLO ≥ 95%
  • Intelligent context caching to cut LLM API spend 40–60%
  • Spend caps and Stripe metered billing guardrails
  • FinOps dashboard: waste vs. revenue-generating compute
FinOps Audit Preview
-63% est. savings
Idle GPU / oversized nodes−$28K/mo
Token context bloat (LLM APIs)−$9K/mo
Over-provisioned Cloud Run−$8K/mo
Unused reservations−$6K/mo
Current Monthly Spend
$80K
Projected Savings
$51K / mo

Estimates based on anonymised GCP workload patterns. Actual results vary.

VPC · IAM · Identity Platform

Sovereign AI & Security

Enterprise GenAI that passes FinReg audits in 48 hours.

  • Fully VPC-native: no data leaves your perimeter
  • GCP Identity Platform per-customer isolation
  • VPC Service Controls for AI processing isolation
  • Row-Level Security (RLS) per tenant_id across all data stores
  • Audit trails and compliance reporting for SOC 2, GDPR, HIPAA
Security Review Snapshot
2 Critical Findings
VPC perimeter isolation
Pass
Data exfiltration pathways
Critical
IAM least-privilege audit
Review
PII in LLM context window
Critical
SOC 2 audit trail completeness
Review
Row-Level Security (RLS)
Pass
Time to compliance-ready baseline
48 hours
with Warble Sovereign AI blueprint

Not sure where to start?

Book a 30-minute call with the founders. We'll map your biggest infrastructure pain to the right service pillar — no sales deck, just engineering.

Book a Demo