Agentic Ops · Private Beta

Your Kubernetes Cluster
Shouldn't Need a
Human Pager Rotation

Reflexion Engine deploys Actor/Critic AI agents on Vertex AI that observe, reason, and remediate Kubernetes incidents before your on-call engineer finishes their coffee. Probabilistic reasoning, not brittle runbooks.

58 min
Mean Time To Recovery
63%
Auto-Remediation Rate
$130
Baseline / month
Disrupt Now How It Works
reflexion-engine · actor-critic · live
# Incident detected: OOMKilled · payment-svc · prod actor → hypothesis: memory_limit_undersized (conf: 0.91) critic → validating against SLO baseline... critic → SLO compliance post-patch: 97.2% (threshold: 95%) ✓ approved — executing remediation kubectl patch deploy payment-svc \ -p 'resources.limits.memory: 512Mi' ✓ rollout complete · MTTR: 4m 38s · tokens: 847 # vs 50K+ tokens in a monolithic LLM call

What We Build

Not a consultancy. An engineering team that ships production-grade agentic infrastructure.

Agentic Operations

Reflexion Engine replaces deterministic runbooks with probabilistic adaptation. Actor/Critic agents on Vertex AI handle novel failures traditional automation cannot anticipate.

  • Actor/Critic hypothesis-driven RCA
  • 63% auto-remediation on known patterns
  • SLO-guarded execution — no blast radius
Gemini 2.5 · Vertex AI Agent Engine

Kubernetes Platform Engineering

ShrikeOps MCP Bridge lets AI agents reason over live cluster state. Every manifest scanned by Pluto, Polaris, kube-score, and OSV.dev before it reaches your estate.

  • Pre-flight manifest security scanning
  • MCP bridge for AI agent cluster reasoning
  • GKE · EKS · AKS multi-cloud
GKE · EKS · AKS · MCP

Sovereign AI Infrastructure

No PII-laden telemetry leaves your perimeter. Vertex AI, AlloyDB, and Cloud Run locked behind VPC Service Controls. Pass FinReg audits in 48 hours — JPMorgan/BNY-grade compliance by design.

  • Zero exfiltration · VPC-native
  • VPC-SC perimeter on all AI workloads
  • FinReg & SOC-2 ready architecture
VPC-SC · AlloyDB pgvector · <100ms RAG

Pragmatic AI FinOps

Mathematical rightsizing: VM changes only execute if projected SLO compliance stays ≥95%. Cut token hemorrhage 40–60% via intelligent context caching.

  • SLO-guarded VM rightsizing
  • Idle GPU detection & reclaim
  • 40–60% token cost reduction
Stripe Meters · SLO-Guarded Savings

Before & After · Reflexion Engine

4.2 hrs 0min

Mean Time To Recovery

Hypothesis-driven RCA vs. 14-dashboard switching
50K+ 0tokens

Tokens Per Incident

Sub-1K targeted actions vs. monolithic LLM calls
$50K+/mo $130

Baseline Cost / Month

Mathematical rightsizing, not over-provisioning

Engineers Who Ship,
Not Slide Decks

We built the Reflexion Engine because we were tired of 3 AM pager duty for incidents that follow the same 10 patterns every single time.

Dual-Brain Architecture

Observation Brain ingests telemetry. Reasoning Brain hits AlloyDB pgvector in <100ms. Action Brain executes Terraform/kubectl. Context bloat eliminated.

Zero Cold-Start Latency

Cloud Run with pre-warmed instances. First byte <80ms. No container spin-up during a production incident.

VPC-SC Perimeter · No Exfiltration

Vertex AI, AlloyDB, Cloud Run inside VPC Service Controls. Incident telemetry never leaves your GCP org. FinReg compliant by architecture.

SLO-Guarded Execution

Every remediation action is gate-checked against SLO projections. Drops below 95%? Action blocked and escalated. Automation with a kill switch, always.

Architecture · Dual-Brain Reflexion Engine

Observation Brain
GCP Monitoring
Grafana · Elastic APM
Reasoning Brain
AlloyDB pgvector
<100ms RAG
Action Brain
Terraform · kubectl
Cloud Run executor
Actor Agent
Gemini 2.5 Flash · proposes hypothesis
Critic Agent
Validates SLO impact before execution
pgvector RAG
50K+ recipes · <100ms retrieval
VPC-SC Perimeter
Zero exfiltration · FinReg-ready

Curated Feed

AI Headlines

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TechMeme
Breaking AI & Infrastructure
techmeme.com
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AI & Cloud Computing
Google News · AI

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