Every protocol, one pipeline
Collect across the whole estate — SNMP, gNMI, NetFlow/sFlow, BMP, syslog — through one drag-and-drop pipeline. Route it where you need, or keep it entirely onprem.
Root cause in seconds Nothing leaves your network.
Find the device that broke first in seconds, with nothing leaving your network. Full-stack telemetry,In-built copilot, AI detection and topology-aware root cause, all self hosted.
Many protocols
SNMP · gNMI · NetFlow · sFlow · BMP · syslog
0 bytes
of telemetry leaving your network
100%
on-prem including the AI models
Flat
licence, no per device or per GB metering
See AdvayaFlow in action
Pipeline builder 
01 / 06
Build pipelines by dragging, not by YAML
Drag inputs, transforms and outputs onto the canvas and wire them together. Send SNMP to Kafka and OpenTelemetry at once — changes apply live against the orchestrator, no config files to hand-edit.
- Drag-and-drop, zero YAML
- Fan-out to many destinations
- Live orchestrator — save & apply
Plugin catalog 
02 / 06
A growing catalog of connectors
Pick from inputs — SNMP, gNMI, syslog, NetFlow, sFlow, BMP — plus transforms and outputs like Kafka, OpenTelemetry and Splunk. Install or remove any of them in one click, and we ship new plugins constantly.
- Inputs, transforms & outputs
- One-click install / uninstall
- New connectors added continuously
Transformations 
03 / 06
Shape telemetry in flight
Build transformation chains with a visual rule builder — drop, filter, rename, enrich — scoped per protocol. Trim noise and normalise fields before anything reaches your store or your bill.
- Drop / filter / rename / enrich
- Per-protocol scoping
- Cut noise before storage
Network topology 
04 / 06
See the whole network, auto-discovered
The map draws itself from SNMP LLDP, BGP and OSPF walks — dozens of devices and links, refreshed every few seconds. Click any node for live health, telemetry coverage and its active alerts; failing links light up by severity.
- Auto-discovered from LLDP / BGP / OSPF
- Live per-device health & coverage
- Blast radius at a glance
Correlated alerts 
05 / 06
Correlated alerts, not an alert storm
Related anomalies collapse into a single alert with a confidence score and the events that corroborate it across SNMP, gNMI and syslog. Investigate, ask the co-pilot, or mark it real / false — and that feedback tunes detection.
- Multi-signal correlation + confidence
- One incident, not fifty pages
- Your feedback tunes the detectors
Investigate 
06 / 06
Root cause, with the evidence attached
Every alert opens into the full picture — blast radius and topology, the root device and its live metrics, and the metric history behind the anomaly. One click to ask Advaya or confirm the verdict.
- Blast radius & topology
- Root device + live metrics
- Metric history + one-click co-pilot
The alert fires in seconds. The answer takes three hours.
Your NMS tells you forty things broke. It won't tell you which one broke first. So an engineer opens six dashboards, SSHes into four routers, and reconstructs the topology from memory — at 2 a.m., every time.
And the tools that do solve this want your telemetry in their cloud.
From packet to root cause, in one platform
Catch it before the ticket does
An ensemble of detectors learns each network's normal rhythm and flags real anomalies early — without drowning your team in too many alarms.
One cause, not fifty symptoms
AdvayaFlow understands how your devices connect, so it points to the likely root cause not fifty downstream symptoms and explains it in plain English/Hindi language.
Zero egress by design
Runs entirely inside your environment on self-hosted open models. No data egress, built for operators, data centres and sovereign networks that can't or won't use the cloud SaaS.
How it works
Deployed inside your environment. Your telemetry never leaves your network.
1 · Collect
Point your devices at AdvayaFlow — running on your own infrastructure, on-prem or air-gapped.
2 · Baseline
It learns each network's normal behaviour, including daily and weekly rhythms.
3 · Correlate
Topology aware alerts that trace the causal path, not a wall of raw events.
4 · Explain
The likely root cause in plain language, grounded in your raw telemetry.
5 · Act - human in the loop (coming soon)
Human approved remediation from inside the platform, once you trust the diagnosis.
Advaya — the AI co-pilot for your network
Ask your network what's wrong in plain English/Hindi language. Advaya answers from your live telemetry and topology and helps you act on it. No external model API, no data leaving your perimeter.
You
What's wrong with the core mesh right now?
Advaya
The mesh-03 → mesh-05 link is flapping — 14 up/down transitions in the last 5 minutes. It's the likely root cause of the 8 BGP alerts firing downstream on mesh-06…08. Blast radius: 3 devices. Want me to acknowledge the downstream alerts and flag the mesh-03/05 link for repair?
Grounded in your telemetry
Every answer cites the real alert, device, interface and metric behind it, not a plausible sounding guess. If the evidence isn't there, Advaya says so.
Runs on your hardware
Self-hosted open models, inside your perimeter. No external API, works fully air-gapped — your telemetry never becomes training data for someone else's model.
Knows the whole network
It reads across every protocol you collect and understands how your devices connect, so it explains cause and blast radius not just the symptom in front of you.
Acts, with you in control
Acknowledge or resolve alerts straight from the chat, every action approved by you and written to an audit trail. (Human-approved remediation is coming next.)
Why AdvayaFlow
Tuned on production traffic, not lab data
Detectors tuned against real-world network traffic, not lab data. Fewer false alarms, real problems caught earlier.
Your bill doesn't grow when your network does
A flat licence — no per GB and no per device metering. Growing your network never grows your bill.
Not a chatbot bolted onto a dashboard
Collection, detection, and root-cause in a single platform grounded in your raw telemetry, not a chatbot bolted onto a dashboard.
Your telemetry never becomes someone else's asset
Collection, detection and inference all run inside your perimeter. No vendor tunnel, no external model API, no data-processing agreement to negotiate.
How AdvayaFlow compares
| Cloud-first observability platforms | AdvayaFlow | |
|---|---|---|
| Deployment | SaaS primary; on-prem available as an option | On-prem and air-gapped as the default design target |
| Vendor connectivity in on-prem mode | Managed deployments carry vendor access and connectivity requirements | No vendor tunnel, no callback, no phone-home |
| Pricing | Commonly per-device or per-volume metering | Flat licence |
| Data residency | Depends on deployment; SaaS default is vendor-controlled regions | Structurally solved — data physically cannot leave |
| Root cause | Cross-domain correlation | Topology-aware causal path |
Compared against the cloud first observability category generally, not a single named vendor.
We're taking on our first design partners
If you run a network where downtime is expensive and your telemetry can't leave the building, we'd like to show you AdvayaFlow.
Request a demo