We build, deploy, and operate AI systems that actually run.
OpsGenius is your embedded DevOps and AI ops team — managing Kubernetes clusters, CI/CD pipelines, cloud infrastructure on AWS and Azure, and production AI systems. We own the stack. We're on call when it breaks.
Most AI systems fail in production — not in development.
Deployment is the easy part. The hard part is operating reliably: monitoring, incident response, scaling, and continuous iteration. Most teams have no dedicated team for any of it.
Systems ship, engineers move to the next project, and production runs unmonitored. The first sign of failure is usually a customer complaint — not an internal alert.
A DevOps engineer, SRE, and ML ops specialist — each at market rate, each taking months to recruit, each adding management overhead. Most companies skip it. Their systems show it.
Without 24/7 alerting and an on-call rotation, production failures compound silently. By the time someone notices, the damage is already done.
You don't need another build. You need a team that owns the ops layer.
24/7 monitoring, incident response, and ongoing operations — without the overhead of building a platform engineering team. That's OpsGenius.
Four ways to work with us.
From standalone builds to taking full ownership of your production stack — every engagement includes infrastructure and ongoing operations.
AI Automation Systems
Custom-built automation pipelines for high-volume operational workflows — internal process automation, system integrations, data coordination, and back-office operations. Engineered for production.
- Internal process and workflow automation
- Data pipeline and system integration engineering
- CRM, ERP, and back-office integrations
- Custom workflow and prompt engineering
AI Agents
Production AI agents deployed and operated in your environment — customer-facing support, internal operations, and process automation. We handle the deployment, infrastructure, and ongoing reliability.
- Customer-facing voice and chat agents
- Internal operations and back-office copilots
- Deployed to your cloud environment
- Monitored and maintained post-launch
Infrastructure & DevOps
We manage your cloud infrastructure, CI/CD pipelines, and Kubernetes clusters — whether we built your systems or you did. AWS, Azure, Docker, monitoring, and incident response.
- AWS & Azure cloud management
- CI/CD pipelines and Kubernetes orchestration
- 24/7 monitoring and incident response
- Security hardening and cost optimization
Fully Managed Operations
Full ownership of your production stack — build, deploy, monitor, and iterate. We embed as your complete DevOps and AI ops team. One engagement. One SLA. Full accountability.
- End-to-end ownership of your production stack
- Dedicated DevOps and infrastructure management
- Monthly optimization and iteration
- Priority support and incident response
Why companies choose us over hiring in-house.
Building a platform engineering team takes months and costs hundreds of thousands per year. OpsGenius gives you that expertise embedded in your stack from day one.
We Operate What We Deploy
We own it from day one — whether we built it or inherited it.
Most teams end up with AI infrastructure and no one accountable for keeping it running. OpsGenius owns the operations layer — monitoring, incidents, deployments, and optimization. If it breaks, we respond. If it degrades, we catch it first.
No Platform Team Required
No internal DevOps, ML engineers, or cloud architects needed.
Building a platform engineering team is expensive, slow, and hard to scale. OpsGenius gives you deep infrastructure expertise — Kubernetes, CI/CD, AWS and Azure — fully embedded and accountable, at a fraction of the cost of hiring in-house.
On Call for Uptime
Every system we manage is monitored 24/7.
We don't deploy and disappear. Alerts route to us, not you. When a container goes down or latency spikes, we respond — with root cause documentation and runbook updates to prevent recurrence.
This is what managed operations looks like.
Every system we manage runs with full observability — monitored around the clock, auto-scaled, and actively maintained.
Uptime
99.9%
last 90 days
Requests Today
0
processed
Active Agents
0
running now
Last Deploy
2h ago
zero downtime
Service health
Example of a client environment under OpsGenius management
Latest Thinking
Operational insights from the engineers running the stack.
Observability for AI in Production: Logging, Metrics, and Alerts That Actually Matter
Traditional application monitoring tells you if your system is running. AI observability tells you if it's working. The gap between those two things is where production AI problems live — and where most teams have blind spots.
The Outbound AI Playbook: Building a Lead Generation System That Runs Without You
Most AI outreach implementations fail for the same reason: they automate the mechanical parts of outreach while leaving the judgment-dependent parts to humans. Here's how to design a system that handles both.
Why AI Systems Break in Production (and How to Build Them So They Don't)
AI systems fail differently than traditional software. The breaks are quieter, harder to detect, and often invisible until they've compounded into a real problem. Here's what production reliability actually looks like for AI.
Ready to get your AI system built and running?
Tell us what you're trying to automate or modernize — AI systems, DevOps pipelines, or cloud infrastructure. We'll scope it, build it, and run it without you needing an engineering team.
Frequently asked questions
Everything you need to know about our DevOps, infrastructure, and AI ops engagements.