built on open-source tech · zero AI licensing fees

So you don't have to wake up at 3am.

3am_ is an agentic SRE platform that detects, diagnoses, and resolves production incidents autonomously. Deployed on your infrastructure. Powered by open-source AI models.

90%
Alert noise reduction
1min
Median time to diagnose
$0
AI licensing cost
10x
Cheaper than alternatives

One platform. Full incident lifecycle.

From the first anomaly to verified resolution. 3am_ handles the entire loop that keeps your L1 team up at night.

Real-time observability

Metrics, logs, and traces ingested through Prometheus, OpenSearch, and OpenTelemetry. Sub-second visibility into your entire stack.

Alert correlation

Groups related alerts into a single incident using temporal, topological, and semantic analysis. Reduces noise by 70-90%.

AI root cause analysis

Gemma 4 (self-hosted, Apache 2.0) reasons across metrics, logs, and traces to pinpoint exactly what broke and why.

Auto-remediation

Executes Ansible runbooks to fix incidents automatically. Pod restarts, scaling, rollbacks, cache clears — hands-free.

Progressive trust

Start with Observer mode (watch only). Graduate to Advisor (suggest fixes). Unlock Operator (autonomous action) as confidence builds.

Teams & Slack native

Rich incident cards, interactive approval workflows, and ChatOps commands. Your team stays in the tools they already use.

Deploy in 30 minutes. Not 30 days.

One command installs the entire platform on your infrastructure. No agents to configure. No data to ship externally.

Install

Run the 3am-installer CLI on any Linux server or Kubernetes cluster. It bootstraps the full observability + AI stack automatically.

Connect

Point your Prometheus, Fluentd, or OpenTelemetry collectors at 3am_. Connect your Teams or Slack workspace. Done.

Resolve

3am_ starts correlating alerts and diagnosing incidents immediately. Approve suggestions in Teams, or let it act autonomously.

# Install 3am_ on your infrastructure
$ curl -sSL https://get.3am.engineer | bash

# Or with custom config
$ 3am-installer --gpu auto --teams-webhook $WEBHOOK_URL

[OK] k3s cluster ready
[OK] Prometheus + OpenSearch deployed
[OK] Gemma 4 loaded on GPU (A10G, 4-bit quant)
[OK] Dashboard: https://3am.internal:8443
[OK] Ready. Time: 24 minutes.

Stop paying for alerts you ignore

3am_ reduces noise, diagnoses root causes, and fixes issues — at 10% the cost of legacy monitoring tools.

Start free trial

Built different. Deployed different.

3am_ runs entirely on your infrastructure. Your data never leaves your network. The AI runs on your GPU. Built entirely on open-source technology.

Architecture

Five layers. Open-source foundation. Zero AI licensing fees.

ACTION
Temporal workflows + Ansible runbooks + Teams/Slack approval
INTELLIGENCE
Gemma 4 (vLLM) + LangChain + ChromaDB + correlation engine
STORAGE
Prometheus (metrics) + OpenSearch (logs) + Jaeger (traces) + Valkey
STREAMING
Apache Kafka event backbone + OpenTelemetry + Fluentd
PLATFORM
k3s / Kubernetes + Longhorn storage + Jenkins CI/CD + Ansible

Earn autonomy. Don't assume it.

3am_ starts passive and earns the right to act. You control the boundaries.

Observer

Monitors, correlates alerts, and provides root cause analysis. No actions taken. Build confidence in the AI.

Advisor

Suggests remediation actions in Teams/Slack. One-click approve or reject. Human stays in the loop.

Operator

Executes fixes autonomously for high-confidence, low-blast-radius incidents. Humans notified, not blocked.

No vendor lock-in. No black boxes.

3am_ is built on proven open-source technology. No proprietary dependencies in the underlying infrastructure.

Prometheus Grafana OpenSearch Apache Kafka Jaeger OpenTelemetry Gemma 4 vLLM LangChain ChromaDB Kubernetes / k3s Ansible Temporal Jenkins Keycloak PostgreSQL Valkey (Redis) Fluentd MLflow MinIO

Self-healing by design

3am_ monitors itself. If any component fails, the health controller detects and auto-recovers — pod crashes, GPU OOM, storage full, cert expiry, and more.

One-click install

Single CLI command bootstraps the entire stack: K8s, observability, AI, dashboard. Under 30 minutes from zero to operational.

Zero-downtime upgrades

Canary deployments with automatic rollback. New versions are tested with 10% traffic before full rollout.

Air-gap support

Works in fully disconnected environments. Model weights, container images, and Helm charts all bundled for offline install.

CPU fallback

No GPU? 3am_ runs Gemma 4 9B on CPU via llama.cpp. Slower inference but fully functional for smaller estates.

10% the cost. 100% of the capability.

Deployed on your infrastructure. No per-host fees. No data egress charges. You pay for the platform, not the privilege of monitoring your own systems.

Free
$0
forever
  • 5 services, 10 nodes
  • Observer mode
  • Alert correlation
  • Basic RCA
  • Community support
  • CPU inference (no GPU)
Get started
Starter
$499
per month
  • 20 services, 50 nodes
  • Observer + Advisor mode
  • Full RCA with Gemma 4
  • Teams & Slack integration
  • 15 standard runbooks
  • Email support
Start trial
Enterprise
$2,500/mo
max $25,000/year — all you need
  • Unlimited scope
  • Dedicated GPU instance
  • LoRA fine-tuning
  • SSO / LDAP / RBAC
  • Custom SLA (99.9%+)
  • Dedicated support engineer
Contact sales

vs. legacy monitoring

3am_ Datadog PagerDuty BigPanda
100-node cost/mo $499 $3,600+ $2,500+ $5,000+
AI licensing $0 (open-source models) $13/host add-on Bundled ($$) Bundled ($$$$)
Auto-remediation Full agentic No No Partial
Deployment Your infra SaaS only SaaS only SaaS only
Data residency 100% on-prem Their cloud Their cloud Their cloud
Vendor lock-in Minimal (OSS stack) High High High
Open-source stack Yes No No No

Built by engineers who've been paged at 3am

3am_ was born from a simple frustration: most production incidents are repetitive, and the humans fixing them are expensive, tired, and burning out. We're building the AI that handles the 3am page so your team doesn't have to.

What we believe

Open-source foundations

Proprietary monitoring tools charge you to look at your own data. We build on proven open-source technology — Prometheus, Kafka, Gemma — so you get enterprise-grade observability without proprietary lock-in or AI licensing fees.

AI should run where your data lives

Sending production telemetry to a third-party API is a security and compliance risk. 3am_ runs Gemma 4 on your hardware. Your data never leaves your network.

Trust is earned, not assumed

We don't believe in giving AI full control on day one. 3am_ starts passive and earns autonomy by proving it makes the right calls, consistently.

10% of the cost, 100% of the value

By building on open-source technology and deploying on client infrastructure, we deliver enterprise-grade SRE automation at a fraction of the cost.

3am_

An engineering-first company building world-class infrastructure software. We leverage deep engineering talent and proven open-source technology to deliver at a fundamentally different cost structure.

20+
Open-source components
2026
Founded

Let's talk

Start a free trial, schedule a demo, or just ask us anything. We typically respond within a few hours.