AI-powered ops coverage that thinks, responds, and resolves — so your team can focus on building, not firefighting.
Companies in the $200–250M revenue range face enterprise-grade complexity with startup-grade resources.
Small ops teams of 3–5 people juggle infrastructure, DevOps, data pipelines, and on-call. Burnout is constant. When one person leaves, institutional knowledge walks out the door.
A proper US-based ops team requires 6–8 hires at $800K–$1.2M per year. Traditional MSPs charge $30–50K/month and are incentivized to add more bodies, not solve more problems.
Incidents at 3AM go unnoticed until morning. Data pipelines stall, automated processes fail silently, and revenue is lost. For global customers, this gap is catastrophic.
APEX bolts onto your existing stack. No rip-and-replace. No vendor lock-in. Just better outcomes.
AI agents handle the majority of routine work — monitoring, triage, diagnosis, remediation. Humans focus on complex decisions and strategic improvements.
Integrates with Datadog, Grafana, PagerDuty, AWS, GCP, Azure, ServiceNow, and more. No observability stack? We'll build one.
Our pricing rewards automation efficiency, not headcount. The better our agents perform, the more value we both receive.
Every automated action follows client-reviewed, pre-approved runbooks. No ad-hoc commands, no scope creep, no unauthorized access.
Every automated action is governed by client-approved runbooks. No surprises, ever.
Datadog, CloudWatch, Grafana, or any observability tool detects an anomaly. The alert routes to the APEX agent layer.
The AI agent matches the incident against the runbook library, classifies severity, and determines if it can be auto-resolved.
For known issues, the agent executes runbook actions: restart services, scale instances, roll back deployments, create tickets, send notifications.
For complex multi-step workflows, the operations analyst supervises agent actions and confirms before execution.
Issues outside runbook scope are escalated to pod SMEs with full diagnostic context for root cause analysis and resolution.
Target: 80%+ of incidents resolved at L1/L2 without involving your team.
Known-issue remediation, ticket creation, notifications. Fully automated by AI agents.
Multi-step diagnosis, complex automated workflows. Agent actions confirmed by ops analyst.
Complex troubleshooting and cross-system issues handled by pod SME with full context.
Architecture decisions, systemic changes, and capacity planning with your engineering team.
Unlike MSPs that rotate generic analysts, your APEX pod learns your domain deeply and becomes an extension of your team.
Thorough yet efficient. Full coverage with zero disruption to your team.
Map infrastructure, workflows, and pain points. Define scope, boundaries, initial runbooks, and escalation paths.
Author runbooks collaboratively, configure AI agents, set up monitoring dashboards, integrate into your stack.
Agents go live in shadow mode — observe and recommend, then gradually transition to active operations.
Full 24×7×365 coverage activated. Continuous runbook tuning, monthly reviews, quarterly strategic planning.
No long-term lock-in at any stage. Scale as you see value.
Mid-market SaaS company, $220M revenue, cloud-native on AWS, serving enterprise customers across time zones.
* Projected outcomes based on industry benchmarks for comparable deployments.
Minimum access required. All access documented, auditable, and revocable at any time.
No agent executes outside its defined scope. Client-approved runbooks govern every action.
Every action logged with context: who, what, when, why, and outcome.
APEX never stores, replicates, or moves client data. All operations occur within your environment.
Monthly security reviews. Quarterly access audits. Annual security assessment.
Security concerns trigger immediate escalation to your team. Automated actions pause until cleared.
30+ years in recruiting and staffing solutions for mid and large-scale enterprises. Deep relationships across the staffing industry with a proven track record of building lasting client partnerships.
Implemented large-scale agentic AI solutions at multiple enterprises. Hands-on architect of the APEX agentic platform with deep expertise in AI/ML, cloud infrastructure, and intelligent automation.
30+ years of experience. Built and sold a mid-sized company. Understands mid-market pain points from the inside — the challenge of scaling without scaling headcount.
Start with a conversation. No commitment, no pressure. Let's explore what APEX can do for your team.
