AI Observability Platform that thinks ahead.

Nexvanta is an AI observability platform built by Enonte for mission-critical infrastructure. It collects metrics, logs, alerts and topology from servers, network devices, databases, containers, cloud accounts and applications into a single telemetry mesh, then reasons across all four pillars at once to produce root cause analysis, capacity forecasts and plain-English answers. It is self-hosted, deploys as a container stack on your own infrastructure, and runs fully air-gapped if required.

An AI observability platform ingests telemetry — metrics, logs, traces, events and topology — and applies machine learning and language models to it, so the system explains what broke and why instead of only drawing charts. Nexvanta does this in two tiers: a local statistical anomaly engine that grades deviations at 2, 3 and 4 sigma in sub-millisecond time with no external API calls, and a generative reasoning tier that assembles a root cause dossier with a confidence score, blast radius and remediation playbook.

One Nexvanta deployment covers ground normally split across several products: infrastructure monitoring (Nagios, Zabbix, PRTG, SolarWinds), SaaS observability (Datadog, Dynatrace, New Relic), log analytics (Splunk, Elastic), database performance monitoring, APM and distributed tracing, synthetic checks and status pages, 3D network topology, and security integrity auditing. Everything ships in the same install — no plugin marketplace, no per-module upsell, no metered surprises.

Yes, particularly where SaaS billing or data residency is the constraint. Datadog is cloud-only and meters per host with separate charges for custom metrics, log volume and each additional product. Nexvanta runs on infrastructure you own under a flat node-quota licence, so telemetry volume does not change the invoice, and no telemetry, token or log line has to leave your perimeter. Autonomous root cause dossiers, the 3D topology grid and built-in power and carbon metering are included rather than sold separately.

Nexvanta targets the same AIOps outcome as Dynatrace — automated root cause, dependency mapping, anomaly detection — without the proprietary black-box cloud AI. The reasoning layer is pluggable: point it at Enonte Cloud AI or at a local model served by Ollama, LM Studio or vLLM, and swap providers with no restart. Deployment is a container stack on hardware you own, licensing is per node rather than per host-hour, and the whole platform runs air-gapped when required.

For infrastructure and operations use cases, yes. Splunk has traditionally priced on ingested data volume, which penalises exactly the verbose logging you need during an incident. Nexvanta charges per monitored node, normalises and pattern-groups logs on the way in — roughly 200,000 raw lines collapse into about 10 pattern groups — and compresses metrics 90 to 95 percent after seven days, so cost stays flat as volume grows. Log search, metrics, alerting, topology and AI reasoning are all in the base platform.

The best NOC tool is one that removes triage work rather than adding another dashboard. Nexvanta is purpose-built for 24/7 network operations centres: a wallboard-grade NOC overview with glanceable SLA and MTTR gauges, a live alert firehose, spoken announcements for critical failures, selectable colour themes for bright rooms and low-light control rooms, and correlation that turns a rack-level failure into one incident instead of forty pages. Typical outcomes are mean time to triage under two minutes and around 75 percent MTTR reduction.

Yes. Nexvanta includes a full network monitoring stack: SNMP v1, v2c and v3 USM polling, an SNMP trap and inform receiver with a MIB dictionary, ICMP latency, jitter and packet-loss probes, syslog reception for RFC 3164 and RFC 5424, per-port link state, interface throughput and firewall health. Device discovery and classification are automatic, flapping links are suppressed so they do not page twice, and incidents close themselves when a link recovers. SNMP trap to incident is under 100 milliseconds.

The same agent that reports performance also performs security auditing, so security signals correlate with infrastructure state instead of living in a separate tool. Built in: file integrity monitoring, operating system patch and vulnerability posture, SSL and TLS certificate expiry tracking, open listening-port audits, and detection of failed-login spikes, brute-force attempts and unauthorised sudo or admin access. Findings escalate through the same alerting engine into Slack, Microsoft Teams, PagerDuty, ServiceNow or a SOAR webhook.

Yes. Managed service teams get the properties that matter for delivering monitoring as a service: a single deployment scaling past 1,500 devices, node-quota licensing that is predictable to resell, an agent under 10 MB of RAM that installs by copying one dependency-free binary, role-based access tiers with revocable tokens, branded public and private status pages, and native escalation into the ticketing tools clients already run — ServiceNow, Jira Service Desk, PagerDuty and Opsgenie.

Nexvanta is licensed on a transparent node quota — a flat rate per monitored host per month — validated by offline cryptographic signature. There is no metering on metrics, log volume, seats or AI queries. Two editions ship: the Enterprise Edition connected to the Enonte AI engine, and the Sovereign and Defence Edition, which is 100 percent air-gapped with local model inference. Contact Enonte at [email protected] for a node-count quote.

Yes — air-gapped operation is a first-class deployment mode, not a degraded one. The statistical anomaly engine, the institutional incident memory and the generative reasoning tier all run inside your perimeter against a local model endpoint. Nothing egresses: no telemetry, no tokens, no log lines, no configuration detail. This is the mode built for defence, government, banking, healthcare and other regulated environments with data sovereignty mandates.

Nexvanta talks to any OpenAI-compatible /v1/chat/completions endpoint, which covers Ollama, LM Studio and vLLM for local inference with models such as llama3, mistral and qwen2.5, as well as the hosted Enonte Cloud AI engine. Providers are switched from Settings and take effect immediately with no restart, and a fallback path keeps the console working if a provider becomes unreachable.

Servers on Linux, Windows and macOS via a native Go agent; network devices via SNMP, ICMP and syslog; 11 database engines; Kubernetes, Docker and Swarm; AWS, Azure and Google Cloud; VMware ESXi and vSphere plus Proxmox VE; applications via APM and OpenTelemetry spans; customer journeys via synthetic HTTP and API checks; VoIP and SIP call quality; and data centre power via Modbus TCP and smart PDUs, including live PUE and carbon tracking.

Eleven engines with native drivers rather than plugins: PostgreSQL, MySQL and MariaDB including Amazon Aurora, Microsoft SQL Server, Oracle Database, Redis, MongoDB, Elasticsearch and OpenSearch, ClickHouse, Cassandra and ScyllaDB, InfluxDB and Memcached. Slow queries, index recommendations, replication lag and connection pressure refresh on a 60-second cycle, with emails, card numbers and social security numbers stripped before anything is indexed.

A single cluster handles 1,500 or more devices and roughly 43 million metrics per day. Minimum footprint is 4 vCPU, 8 GB RAM and 50 GB SSD for a starter fleet; 500 or more nodes wants 8 vCPU and 16 to 32 GB RAM; 1,500 or more devices wants 8 to 16 vCPU, 32 to 64 GB RAM and NVMe storage. Metrics compress 90 to 95 percent after seven days while staying queryable for 90 days.

An afternoon, not a quarter. The platform is a containerised stack: bring up the core services with one command, confirm the automated health check across ingestion, analytics and AI, and the web console, and the collector mesh starts streaming. Agents install by copying a single static binary with no runtime or dependencies, and self-register within 15 seconds. Fleet-wide agent upgrades are one click from the console, and updates apply without dropping active connections.

Grafana visualises data you have already decided to look at. Nexvanta is the collection, correlation and reasoning layer underneath: it ships its own agents and collectors, its own alerting and incident engine, and an AI tier that reads all four telemetry pillars together and states the probable cause with a confidence score, the blast radius and the commands to run. There are no dashboards to build before it becomes useful.