ManykOps runs fully inside your environment, correlates multi-vendor telemetry, and gives engineers grounded answers without sending infrastructure data to the cloud.
Incident on 5s-clos-spine-02 is impacting its super-spine and leaf links. Start with spine-02 reachability, interface state, and BGP sessions before changing policy.
Watch NetOps AI analyze live telemetry, detect anomalies across your platform, and explain the root cause with precise, actionable answers in seconds.
Demo summary: ManykOps collects live telemetry, correlates topology and anomalies, then produces a grounded root-cause explanation for the operator.
Create a free account on the live platform and explore real topology, telemetry, and AI answers.
We test NetOps AI against a live promotion gate: golden live-context cases, held-out adversarial prompts, Ask NetOps smoke checks, and senior sysadmin/network-engineer scenarios covering BGP triage, interface counters, rollout/rollback discipline, Linux, Windows, MQTT, unsupported-protocol questions, and no-evidence live-state prompts.
Average score on the current senior Ask NetOps judge, including evidence discipline, platform-specific commands, BGP depth, interface-counter interpretation, and rollback posture.
Average response time across the latest Ask NetOps live smoke gate. Deterministic answers return in milliseconds; LLM/RAG cases run locally on dedicated inference.
Latest GB10 promotion gate passed golden live cases, held-out adversarial prompts, live Ask smoke checks, and senior infrastructure troubleshooting scenarios.
Zero API calls. Zero token metering. Zero data egress. The entire AI pipeline — embedding, retrieval, generation — runs inside your perimeter.
"5s-clos-spine-02 is down and affecting connected super-spine and leaf paths. Confirm reachability, interface state, and BGP sessions before changing policy."
A working platform — not a pitch deck. See the live demo.
Your infrastructure is mission-critical. Your monitoring should be too. ManykOps turns noise into signal — so your team acts on what matters, not what's loud.
From real-time telemetry to grounded root-cause analysis — ManykOps surfaces the signal in the noise, so your team can act before users feel the impact.
SNMPv3 with authPriv, gNMI with TLS, Linux SSH, WinRM, and MQTT telemetry collectors. Cisco, Juniper, Nokia, Dell, Arista, Extreme, Windows, Linux, and IoT estates — if it speaks standard protocols, ManykOps speaks back.
Dynamic baselines that adapt to your fleet's behavior. Catches high CPU, memory pressure, interface errors, and BGP failures — with severity-ranked alerts that actually matter.
"What is the overall status?" "What problems exist?" Get instant, data-backed answers — powered by a private LLM that understands your infrastructure, with deterministic analytics guarding factual live-state claims.
One click on any device and the platform delivers a precise diagnosis with actionable solutions. NetOps AI analyzes the full telemetry picture — interfaces, BGP, routes, CPU, memory — and explains exactly what's wrong and what to do.
Edit a single YAML file to add, remove, or reconfigure devices. Collectors pick up changes on the next poll cycle. No pipelines, no CI/CD, no downtime.
Kubernetes orchestration gets you running in minutes. Stateless collectors scale horizontally. Your fleet grows — ManykOps grows with it, automatically.
Everything runs on your infrastructure. No data leaves your infrastructure. Full data sovereignty, zero cloud dependency — built for regulated and disconnected environments.
One device, multiple protocols. ManykOps unifies SNMPv3, gNMI, Linux SSH, WinRM, and MQTT telemetry into a single coherent device view. No more correlating data across five different monitoring tools.
Monitor Linux and Windows servers alongside the network. Collect CPU, memory, disk, network, service, and OS health through SSH, node_exporter, or WinRM.
Dashboards flashing, Slack blowing up, war room at 2am. Three engineers digging through five tools trying to figure out what broke first.
One notification. One ranked anomaly. One precise answer: "5s-clos-spine-02 is down and affecting connected super-spine and leaf paths. Check reachability, interfaces, and BGP sessions first." Done.
See NetOps AI on your infrastructure. No cloud required. No data leaves your network.
Ask natural-language questions. Get deterministic, auditable answers — powered by a private AI runtime running entirely on your infrastructure. Secure by design, grounded in live telemetry, and improved by your own operational history.
NetOps AI interprets questions. Deterministic analytics verify facts. Answers stay grounded in your infrastructure state.
Inference runs locally on your infrastructure. Telemetry, questions, and operational memory stay inside your perimeter.
Factual live-state questions use deterministic analytics. The LLM enhances comprehension while guardrails keep answers grounded in evidence.
ManykOps keeps telemetry, operational memory, and AI decision-making inside your environment. The result is a private system that gets more useful as it learns your business.
SNMPv3, gNMI, Linux, WinRM, MQTT, and custom collectors ingest live infrastructure and IoT state.
Telemetry, incidents, topology state, and business-specific operational memory stay local.
NetOps AI pulls the relevant telemetry, incidents, and prior resolved cases before answering.
Deterministic analytics and the NetOps AI runtime produce grounded, auditable recommendations.
Grounded in your telemetry. Improved by your operational history. Kept inside your environment.
ManykOps adapts to the compliance, scale, and operational constraints of regulated and mission-critical environments.
Low-latency infrastructure visibility for trading environments. Full audit trails for regulatory workflows. Air-gapped deployment patterns for sensitive market data.
BGP, VXLAN/EVPN, interface, route, server, and IoT telemetry for carrier-scale operations. Correlate peering, path, and endpoint symptoms across large fleets. Spot capacity risk before it impacts SLAs.
Complete data sovereignty with zero external dependencies. Air-gap deployable for regulated environments. Deterministic, auditable outputs for compliance and chain-of-custody workflows.
Hybrid IT/OT visibility across factory floors and remote sites. Monitor PLCs, SCADA gateways, MQTT IoT sensors, and industrial networks. Secure, low-bandwidth collectors for edge locations.
ManykOps doesn't replace your tools — it makes them smarter. Integrate with the platforms your team already uses.
Full OpenAPI spec. Build custom integrations or automate remediation workflows with any tool.
Run approved models inside your own infrastructure. Local inference, secure operational learning, and zero telemetry egress from the core analytics path.
Trigger outbound webhooks on anomaly detection, incident creation, or status changes. Plug into any alerting pipeline or automation workflow.
Auto-create tickets with root cause attached. ServiceNow and Zendesk integrations are on the roadmap. Slack, PagerDuty, and custom webhooks are available now.
| Capability | Traditional Monitoring | ManykOps |
|---|---|---|
| Root cause analysis | Manual log diving across dashboards | One click, AI-powered diagnosis |
| Multi-vendor support | Separate tools per vendor | SNMPv3 + gNMI + SSH + WinRM + MQTT — one platform |
| Natural language queries | Proprietary query languages | Ask in plain English, get answers |
| Data sovereignty | Telemetry sent to vendor cloud | 100% on-premise, zero data egress |
| Alert quality | Hundreds of raw alerts per incident | Severity-ranked, topology-correlated |
| AI powered | None or cloud-only LLMs | NetOps AI runtime + deterministic analytics |
| Deployment time | Weeks of professional services | Self-hosted deployment path for fast POCs |
| Per-device pricing | Costs scale with infrastructure | Self-hosted license, no per-device metering |
| Self-learning AI | Static rules that never improve | Learns from every resolved incident — gets smarter with your network |
Deploy on your infrastructure, monitor everything, and keep commercial terms predictable. Self-hosted licensing, no per-device metering, and enterprise POCs available.
Your infrastructure. Your control.
Built for air-gapped environments. Auditable by design. Compliance-supporting architecture. Every design decision in ManykOps prioritizes data sovereignty — telemetry, AI context, and learned operational patterns stay under your control. Optional outbound integrations can be enabled deliberately; the core platform runs fully inside your environment.
No external AI dependency for the core product path. Your telemetry, topology, incident context, and learned operational patterns stay exactly where they belong — inside your perimeter.
SNMPv3 with authPriv (SHA/AES), gNMI over TLS, SSH, WinRM, and MQTT credentials in environment variables — never in code, never in container images. Security isn't an afterthought.
Designed for GDPR, SOC 2, HIPAA, and ISO 27001 aligned environments. Deterministic outputs, audit trails, and zero telemetry egress from the core product path support your compliance program.
Each service runs in an isolated container. Kubernetes orchestration with built-in health checks. Easy to audit, easy to harden, easy to secure.
ManykOps is built for environments where compliance, security, and reliability are non-negotiable. The platform gives InfoSec, procurement, and operations teams a clearer path to validate deployment fit before production rollout.
Business account access today, with enterprise identity integration available for organizations that need Azure AD, Okta, Keycloak, or SAML-based rollout.
Deterministic answers, YAML-driven inventory, and traceable API actions give teams a clearer audit story than black-box tooling and scattered dashboards.
Kubernetes-native with multiple replicas, health probes, and graceful failover patterns for production deployments.
Factual live-state answers are deterministic and traceable, while LLM-assisted troubleshooting stays tied to retrieved evidence and guardrails.
No internet required for the core platform path. Pull images once, deploy inside your environment, and keep telemetry plus inference fully local.
Enterprise agreements include response-time SLAs, dedicated support channels, and escalation paths to the engineering team.
Your infrastructure isn't a template. Our platform shouldn't be either. ManykOps is a living platform — our engineering team customizes collectors, tunes anomaly thresholds, and helps NetOps AI learn from your operational patterns, resolved incidents, vendor mix, compliance requirements, and escalation workflows. You don't get a ticket number. You get a partner.
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We work directly with enterprise infrastructure teams to validate production fit, tune NetOps AI to their environment, and deliver a practical rollout plan for real NOC operations.
Slack/Teams channel with the builders. Not a support queue — a partnership.
Your vendor stack not listed? We'll build the collector as part of the program.
Deploy on your Kubernetes cluster. See it work on your devices. Zero commitment.
Work through deployment scope, rollout stages, and enterprise pricing with direct engineering and commercial input.
Best for enterprise teams evaluating a 4-week POC on their own infrastructure.
No. The NetOps AI runtime runs entirely on your infrastructure. Telemetry, queries, and learned operational patterns never leave your network. The core analytics path has zero external dependencies.
A standard Kubernetes deployment takes under 10 minutes. Add your device inventory via a single YAML file, and collectors start polling on the next cycle. Most teams see first insights within 30 minutes of install.
ManykOps supports any device that speaks SNMPv3, gNMI, SSH/Linux, WinRM, or MQTT. For proprietary protocols, enterprise POCs can include custom collector discovery and implementation planning.
Factual live-state queries run through deterministic analytics. The LLM handles natural-language comprehension and reasoning synthesis, grounded in live telemetry and checked by deterministic guardrails so unsupported facts are refused instead of guessed.
Neither. ManykOps is positioned around self-hosted licensing with no per-device or per-metric metering. Commercial terms are handled through enterprise POC and deployment scope.
Yes. The core platform — including the AI runtime — can run offline. Pull container images once, deploy inside your perimeter, and operate with zero internet connectivity for regulated and disconnected environments.