All Your Infrastructure.
Orchestrated by Self-Correcting AI.
Shift from deterministic logic to probabilistic orchestration. Deploy secure, RAG-enabled multi-agent systems powered by continuous Reflexion loops to slash enterprise manual processing from hours to seconds.
✓ Observer: latency spike detected — p99 > 2400ms on api-gateway
⟳ Hypothesis: OOM on inference-worker-7f9b (confidence 91%)
⟳ Critic: SLO baseline within 95% — proceeding with auto-remediation
✓ Action: kubectl patch deployment inference-worker --patch mem=4Gi
✓ Resolved: p99 normalised to 180ms — MTTR 4 min 12 sec
The Reality Check
Security Theater & Token Hemorrhage
Most "AI Ops" tools are just thin wrappers bleeding your PII through public APIs. They drag 50K+ token contexts per incident and call it "intelligence."
traced to misconfigured infra — discovered hours too late
cloud spend per 100-person AI team/yr on idle GPUs & oversized nodes
per incident by monolithic LLM calls dragging irrelevant context
❌ The Wrapper Way
- • Telemetry routed through third-party vector stores
- • Monolithic 50K+ token LLM calls per incident
- • Deterministic if/then runbooks that break on novel failures
- • Retrofit compliance after the breach
✓ Warble: Native VPC
- • All reasoning stays inside your VPC — no data exfiltration
- • Targeted sub-1K token actions via Dual-Brain Architecture
- • Probabilistic adaptation — handles failures runbooks cannot
- • FinReg audit-ready in 48 hours by design
Technical Architecture
Three Brains. One Reflexive Loop.
Observation Brain ingests. Reasoning Brain retrieves. Action Brain executes. All guarded by blast-radius checks and SLO projection gates.
Orchestrated
Stop choosing between workflow execution and data retrieval. The Core Brain decouples action from knowledge, seamlessly managing complex multi-agent workflows and enterprise RAG pipelines without cross-contamination.
Reliable
Enterprise GenAI fails when agents operate blindly. Our engine runs on continuous Reflexion loops—agents that autonomously critique, evaluate, and refine their own logic and confidence scores before ever executing a production action.
Secure & Scalable
Eliminate cold-start latency through dynamic, serverless GPU concurrency modeling. Everything runs inside air-gapped network perimeters with least-privilege access, guaranteeing SOC 2, GDPR, and HIPAA compliance natively.
Workload Engine
Built for the
hardest infra problems.
Four tightly integrated capability domains, each powered by the same cognitive reasoning core — probabilistic adaptation for infrastructure operations.
Explore Agentic OpsSelf-Correcting Operations
Automate complex ticket routing, SRE remediation, and internal knowledge retrieval using agents that verify their own accuracy against your internal data before responding.
Reflexion-Driven · Confidence-ScoredCloud-Native Platform Engineering
We don't bypass your current stack; we augment it. Seamlessly bridge our multi-agent orchestration engine with your existing Kubernetes cluster lifecycles and GitOps pipelines.
Workload Engine · GitOps-NativeAI-Driven Reliability
Achieve massive reductions in MTTR through custom LLM toolchains designed for automated infrastructure remediation. Probabilistic reasoning handles failures deterministic runbooks cannot anticipate.
Auto-Remediation · MTTR ReductionBuilt-In AI FinOps & Token Governance
Stop context bloat and runaway token costs before they happen. Our intelligent prompt caching, semantic parsing, and dynamic vector index serving keep your cloud economics strictly predictable.
Token Optimization · Cost GovernanceKnowledge Hub
AgenticOps Best Practices
Field-tested patterns from production agentic systems. No theory — only what works at scale.
Agent Orchestration Patterns
Actor/Critic, ReAct loops, and multi-agent topologies. When to use each, and how to avoid coordination traps.
ArchitectureGuardrails & Governance
SLO-guarded execution, blast radius controls, and human-in-the-loop escalation for autonomous agents.
SafetyLLM Observability & FinOps
Token cost attribution, latency percentiles, and context window budgeting before the invoice surprises you.
ObservabilityRAG Pipeline Design
Embedding strategies, pgvector indexing, and retrieval latency targets. RAG in <100ms, not 2 seconds.
DataSovereign AI Deployment
VPC-SC perimeters, zero-exfiltration architectures, and FinReg compliance that auditors approve.
SecurityMCP & Tool Integration
Model Context Protocol bridges, tool schemas, and agent-to-cluster communication — safely.
IntegrationMarketplace
Pragmatic Consulting
Engagement-driven consulting around our products. We ship outcomes, not slide decks.
AgenticOps Readiness
Structured assessment of your infrastructure's readiness for agentic automation.
- Infrastructure & incident audit
- Agentic maturity scorecard
- Prioritised adoption roadmap
- Tool & platform recommendations
Reflexion Engine Deployment
End-to-end deployment with Actor/Critic agents tuned to your incident patterns and SLOs.
- VPC-native Reflexion Engine setup
- Custom Actor/Critic agent training
- AlloyDB pgvector RAG pipeline
- Runbook-to-agent migration
- 30-day hypercare support
AI FinOps & Security Eval
Reduce AI infrastructure spend 40-60% and validate security posture. Mathematical rightsizing.
- Token cost attribution & reduction
- GPU/VM SLO-guarded rightsizing
- Security evaluation & threat model
- Compliance readiness (SOC-2, FinReg)
ChirpStack LLP
Production-Ready.
Open Source.
No Vendor Lock-In.
The name “ChirpStack” is a nod to LoRa’s Chirp Spread Spectrum modulation — a small, distinct signal that cuts through noise and travels vast distances. That’s our engineering philosophy: precise signals over noisy abstractions. We build infrastructure that works the way radio physics works — reliably, at range, under real-world conditions.
Production-ready infrastructure. Not flashy — robust. Built to run where downtime has consequences.
Building in public. Our tools are open source because infrastructure shouldn't be a black box.
Technical accuracy over marketing language. We speak in benchmarks, not buzzwords.
No vendor lock-in. Swap components, fork the code, run it anywhere.
Open Source Projects
ShrikeOps Manifest Scanner
Pre-flight Kubernetes manifest scanning powered by Pluto, Polaris, kube-score, and OSV.dev. Catches deprecated APIs, security misconfigurations, and known CVEs before they reach your cluster.
- Deprecated API detection (Pluto)
- Security policy validation (Polaris)
- Best-practice scoring (kube-score)
- CVE scanning (OSV.dev)
SteadyHelm MCP Solution
Model Context Protocol bridge for Helm and Kubernetes. Gives AI agents structured, real-time access to cluster state, Helm releases, and resource topology.
- MCP-native Helm release introspection
- Live cluster state via structured tools
- Agent-safe read/write operations
- Multi-cluster topology mapping
Proof in Numbers
Engineering metrics, not marketing copy.
Validated with early design partners across SaaS and FinTech verticals
Mean Time To Recovery — hypothesis-driven RCA vs. 14-dashboard context switching
First response — automated Actor/Critic analysis, not pager duty roulette
Baseline cost at low traffic — mathematical rightsizing, not over-provisioning
Open Ecosystem
Built for the open cloud ecosystem.
We don't just use open source — we build for it. Every integration is battle-tested in production at enterprise scale.
Thought Leadership
Latest from the engineering desk
Get Started Today
Ready to build the next generation
of AI-native infrastructure?
Stop wrestling with context bloat and insecure tool chains. Deploy production-ready Agentic Ops — start with a free ShrikeOps scan.