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Agentic AI for cloud operations

Autonomous agents that fly your cloud for you.

Topgun AgenticAI is a multi-agent platform that runs day-to-day cloud operations. Specialised AI agents monitor, secure, ship and optimise your infrastructure, and a human approves anything that matters.

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CLOUDOPSDEVOPSSECOPSFINOPS
Mission log · prod-us-west-2Example
  1. CLOUDp95 latency up 38% on api-gateway. Root cause: exhausted DB connections.
  2. ORCHRunbook RB-112 proposed. Awaiting approval.
  3. CLOUDPool resized 50→120. Latency back to baseline.
  4. SECS3 bucket logs-archive public ACL found. Blocked, ticket filed.
  5. FIN14 idle EC2 instances flagged. Est. $3,420/mo savings.
  6. DEVTerraform drift on 3 resources. PR #482 opened.
Illustrative output. Every action is logged and reversible.
The problem

Cloud operations still run on people, tickets and spreadsheets.

Too few experts

Small and mid-sized companies can't hire full SRE, security and FinOps teams. Managed service providers can't scale delivery without adding headcount.

Siloed tools

Monitoring, CI/CD, security scanners and cost dashboards each raise alerts. Nobody connects them into one decision.

Reactive by default

Incidents, misconfigurations and wasted spend get found after the damage: outages, audit findings and surprise bills.

The platform

Four specialist agents. One orchestrator.

Each agent covers one pillar of the 4Ops methodology, refined over 12+ years of managed cloud operations. The orchestrator shares context between them so a cost fix never breaks security, and a deploy never breaks the budget.

CloudOps Agent

OPS-1

Keeps infrastructure healthy and available.

  • 24/7 monitoring and anomaly detection
  • Incident triage and root-cause analysis
  • Approved auto-remediation runbooks

DevOps Agent

OPS-2

Ships changes faster and safer.

  • CI/CD pipeline generation and repair
  • Infrastructure-as-code drift detection
  • Release risk checks before deploy

SecOps Agent

OPS-3

Holds security and compliance posture.

  • Continuous misconfiguration scanning
  • Mapping to SOC 2, ISO 27001 and CIS controls
  • Hardening actions with evidence logs

FinOps Agent

OPS-4

Turns cloud spend into a managed number.

  • Spend anomaly alerts
  • Rightsizing and idle-resource cleanup
  • Savings Plan and commitment planning

Orchestrator

CTRL

Routes work between agents, enforces policy guardrails, and requires human approval for any change above your risk threshold. Every decision is written to an audit trail.

How it works

From connection to closed loop.

  1. Connect

    Link cloud accounts, repos, ticketing and chat with read-only access first.

  2. Observe

    Agents ingest metrics, logs, configs, bills and runbooks.

  3. Reason

    LLM agents correlate signals and plan a fix against policy.

  4. Act

    Low-risk fixes run automatically. Others wait for approval.

  5. Learn

    Outcomes feed back into runbooks and evaluation sets.

Technology

Built for accelerated AI inference.

Operations agents must reason over large volumes of telemetry in real time. Topgun AgenticAI is designed around GPU-accelerated inference and the NVIDIA AI software stack.

Real-time reasoning

Low-latency inference so agents respond to incidents in seconds, not after a human reads the alert.

Guardrails first

Policy-as-code and model guardrails decide what an agent may do, before and after every model call.

Multi-tenant and multi-cloud

Isolated tenants per customer. AWS first, with Azure and Google Cloud next.

Interface

Console, Slack and Teams approvals, API

Orchestration

Multi-agent planner, tool calling, approval gates, audit log

Agents

CloudOps · DevOps · SecOps · FinOps

Knowledge

RAG over runbooks, architecture docs, telemetry and past incidents

Models

NVIDIA NIM microservices, NeMo Guardrails, open and commercial LLMs

Compute

NVIDIA GPU inference on AWS

Who it's for

Teams that run cloud without a full ops department.

SMBs on AWS

Get enterprise-grade operations coverage without hiring a full SRE, security and FinOps team.

Managed service providers

Run more customer environments per engineer, with consistent quality and audit-ready evidence.

Mid-market platform teams

Hand repetitive operations to agents so engineers can focus on product work.

Roadmap

Where we are headed.

Now · Pilot

CloudOps + FinOps

  • Monitoring, triage and cost agents
  • Design-partner deployments on AWS
Next

SecOps + DevOps

  • Compliance mapping and hardening
  • Pipeline and IaC agents
  • GPU-accelerated inference at scale
Later

Platform

  • Self-serve SaaS
  • MSP partner edition
  • Azure and Google Cloud
Team

Built by cloud operators.

Rajesh Marar

FOUNDER & CEO
  • Built and scaled a global Cloud Center of Excellence at Ingram Micro (AWS Premier, Azure MSP)
  • Founder of an AWS Advanced Tier partner with Generative AI and Agentic AI competencies
  • MBA, University of Chicago Booth School of Business
Early access

Put an AI ops crew on your cloud.

We are onboarding a small group of design partners on AWS. Tell us about your environment and we will set up a pilot.

info@topgunadvisory.com