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Beta: LLM Observability is now GA

For Fast-Growing Startups

Enterprise observability.
Startup-friendly pricing.

World-class observability with logs, metrics, traces, and LLM telemetry, priced against the telemetry you send rather than the hosts you run or the engineers you hire.

topology.aiaxoniq.net/startups/architecture-flow
OTLP 1.3 · ClickHouse 24.8
Real-Time Observability Fabric(Fast-Growing Startups Deployment Profile)
In-Flight: 142,800 evt/sKernel Overhead: < 0.28%Latency: 4.2ms p99
1. Telemetry Sources100% OTel
Kubernetes & eBPF48 Nodes

Zero-overhead kernel probes for TCP, HTTP/2, and DNS latency without application restarts.

eBPF socket tracing · 0.2% CPU
Services & Envoy MeshOTLP/gRPC

Automatic span injection with W3C baggage propagation across polyglot microservice runtimes.

120+ active services · W3C TraceContext
LLM Agents & MCPGenAI OTel

Tracks token consumption, prompt drift, model invocation latency, and tool execution trees.

Claude Code / Cursor tool traces
2. Unified Engine CoreClickHouse 24.8
Columnar Storage Engine12.4x zstd

Single ClickHouse backend for logs, traces, metrics, and profiles with zero storage silos.

Compression: 12.4:1Rollups: Materialized Views
Trace-to-Log Correlator< 8ms P99

Indexes span IDs directly into log metadata, eliminating manual grep during production outages.

Join Latency: 4.8msIndex: MinMax Skipping
Statistical ML & AnomalyProphet + Z-Score

Continuous IQR & seasonal forecasting to alert on statistical anomalies before customers report errors.

Precision: 98.4%False Alarms: < 0.5%
3. Autonomous ActionClosed-Loop
Instant Incident RCARAG Runbooks

Correlates telemetry with git commit history and engineering runbooks to draft instant post-mortems.

Exact code commit pinpointed
Incident DispatcherMulti-Target

Routes rich incident cards with trace IDs, flamegraphs, and error frequencies directly into Slack and PagerDuty.

Slack, PagerDuty, OpsGenie, Webhook
Autonomous RemediationSealed Write

Human-confirmed operator actions: traffic shedding, canister isolation, and canary rollbacks.

Zero unsupervised production writes
Topology Inspector:ClickHouse 24.8 Columnar Storage Cluster
Click any node above to inspect pipeline telemetry specs
Architecture: Fast-Growing Startups Production Topology
Zero Vendor Lock-In·Standard on all aiAxonIQ plans

Problem & Solution

The challenges every fast-growing startups faces

And how aiAxonIQ solves them with unified telemetry.

✕
The Problem

Host & Seat-Based Pricing Traps

Legacy enterprise vendors bill per-host, per-container, and per-user seat. Startups face crippling five-figure annual contracts before even reaching product-market fit.

aiAxonIQ Solution

A transparent volume-based quote. You are billed on the telemetry you send, with unlimited team seats and no host tax, so adding an engineer or a container never moves the number.

Explore All modules
✕
The Problem

Infrastructure Maintenance Burden

Attempting to self-host and maintain Prometheus, Grafana, OpenSearch, and Jaeger consumes precious senior engineering hours that should be dedicated to customer product features.

aiAxonIQ Solution

A fully managed, turnkey observability SaaS that deploys in 5 minutes. Or deploy our open stack via Docker Compose on your own cloud when you require complete data sovereignty.

Explore All modules
✕
The Problem

Unmonitored LLM Costs & Latency

Modern startups integrating OpenAI, Anthropic, or local LLMs struggle with unpredictable API spend, token consumption spikes, and slow prompt response times.

aiAxonIQ Solution

Native LLM observability built in alongside infrastructure metrics. Track prompt tokens, completion latency, model error rates, and total dollar cost per user session.

Explore APM & Tracing

Execution Flow

How it works in practice

Your improved workflow from ingestion to resolution, step by step.

1
Scoped Proof of Concept
Solutions Engineering stands up a workspace against your own telemetry.
2
Add 3 Lines of Code
Standard OpenTelemetry SDK instruments your Node.js, Python, or Go service.
3
Instant Observability
Watch live traces, logs, container metrics, and LLM tokens flow in real time.
4
Scale Predictably
A volume-based quote you can plan against, with no surprise overage penalties.

Why it works

Ship Fast Today. Scale to Billions Tomorrow.

Early-stage founders and lean teams need tools that accelerate development velocity rather than adding administrative red tape. aiAxonIQ provides the exact same high-performance ClickHouse and Kafka engine used by enterprise architectures, but packaged with immediate friction-free onboarding. Invite your entire engineering team with unlimited seats, and let the bill follow your traffic rather than your headcount.

Priced on telemetry volume, never on hosts or seatsUnlimited user seats on every deploymentRetention windows scoped to what you actually queryDeploy on our managed cloud or self-host with Docker Compose