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
Access Portal Sign In Architecture Deep-Dive
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

Open Source

We Flaunt Our Code

Engineers buy from builders. Our tooling is open — inspect it, fork it, or use it independently.

Kubernetes · MCP · Go

SteadyHelm

A Kubernetes MCP (Model Context Protocol) server that bridges AI agents to live cluster state. Lets Gemini, Claude, or GPT-4 reason over your namespaces, pods, events, and HPA metrics — in real time — without kubectl proxy hacks.

  • Structured cluster context for LLMs
  • Read-only & write modes with RBAC gates
  • Powers the ShrikeOps AI agent bridge
View on GitHub
Helm · Security · Python

ShrikeOps / PreFlight

Pre-flight Helm manifest scanner that runs Pluto (deprecated API detection), Polaris (best-practice checks), kube-score, and OSV.dev CVE lookups before any chart touches your cluster. Integrates as a CI/CD gate or standalone CLI.

  • Deprecated API detection with Pluto
  • CVE scanning via OSV.dev
  • GitHub Actions & GitLab CI integration
View on GitHub
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$5,000

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  • Cloud Infrastructure Assessment
  • Basic DevOps Pipeline
  • 2 Weeks Support
  • Technology Stack Review
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$12,000

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  • Complete Cloud Migration
  • Advanced Kubernetes Setup
  • 4 Weeks Support
  • CI/CD Implementation
  • Performance Optimization
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$25,000+

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  • Multi-Cloud Strategy
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