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O-RAN Telemetry Platform

Catch Failures Before They Become Incidents

Your RIC is making decisions on stale data. Expanso validates telemetry at the edge, before it reaches your monitoring stack.

Works alongside your existing pipeline. No rewrites required.

RIC Latency
89 ms
0 2.3s before
Data Reduction
78 %
Cost Savings
47 %

O-RAN telemetry is broken in ways your dashboards won't show you

Most operators discover data quality issues during P1 investigations, not before them. These are the gaps hiding in plain sight.

Your RIC runs on 2-second-old data

By the time telemetry reaches your RIC, it's already stale. Decisions about handovers, load balancing, and interference management happen on data that no longer reflects reality. The gap between collection and ingestion is where outages hide.

2.3s
typical RIC data lag

Duplicate telemetry inflates every metric

5-15% duplication is typical. It distorts capacity planning, triggers false alarms, and inflates your Splunk bill.

Customers report outages before your NOC does

When telemetry arrives late or corrupted, your monitoring tools can't catch failures that subscribers are already experiencing.

Multi-vendor O-RAN means multi-format chaos

Each vendor's components emit telemetry differently. Without normalization at the edge, your central tools correlate data that doesn't match.

Observability costs scale faster than your network

Every new cell site adds 2+ GB/hr of telemetry. Most of it is redundant, but your ingestion pipeline processes all of it.

Telemetry integrity, enforced at the edge

Expanso validates, deduplicates, and normalizes telemetry before it leaves the cell site. Your monitoring tools get clean data from the start.

1

Detect schema drift and duplication in real time

Telemetry schemas change without warning when vendors push updates. Expanso catches drift, flags duplicates, and identifies ingestion lag before corrupted data reaches your stack.

# Edge validation output
schema_check: passed · 3 vendors normalized
duplicates: 412 removed · 12.3% of stream
latency: 89ms · within SLA
2

Block corrupted data before it propagates

Stale or malformed telemetry doesn't get forwarded. Your RIC, NMS, and SIEM only receive signals that pass validation, eliminating the "garbage in, garbage out" problem at the source.

# Upstream protection
blocked: 23 stale records · >500ms old
blocked: 7 malformed · schema mismatch
forwarded: 4,891 clean records
3

Normalize across vendors at the collection point

O-CU, O-DU, and O-RU components from different vendors get normalized into a single telemetry standard at the edge. No custom glue code, no central ETL bottleneck.

# Multi-vendor normalization
vendor_a: XML/NETCONF → unified schema
vendor_b: JSON/REST → unified schema
vendor_c: gRPC/proto → unified schema

European O-RAN Deployment

3,847 cell sites. 8 TB/hr hitting Splunk. $847K/mo in observability.

A European carrier's RIC was making handover decisions on 2.3-second-old data. Multi-vendor telemetry formats made correlation unreliable. Their observability bill grew with every site they added.

Expanso deployed at the edge across all 3,847 sites in 14 weeks. Telemetry validation starts at the cell site, before data enters the backhaul.

Read the full case study
RIC Latency 2.3s →
89ms
96% faster
Telemetry Volume 8 TB/hr →
1.76 TB/hr
78% reduction
Splunk Cost $847K/mo →
$449K/mo
47% savings
Backhaul Utilization
-31%
31% less backhaul load

"We already have monitoring tools."

You do. And they work well when the data they receive is clean. The problem is upstream.

In most O-RAN environments, RIC decisions run on 1-3 second-old data. Duplicate records can reach 5-15% of total volume. P1 investigations start with 20-40 minutes spent just confirming whether the telemetry is accurate.

Expanso doesn't replace your NMS or Splunk. It sits before them, validating data at the edge so your existing tools operate on signals you can trust.

Built for O-RAN operations

Vendor-agnostic enforcement

One telemetry standard across all O-RAN components. No custom integration code per vendor.

Edge-first observability

Telemetry is validated where it originates, not hours later in a central dashboard after the damage is done.

Sub-100ms visibility

Network state data arrives fresh enough for your RIC to act on, not just report on.

Policy-driven governance

Operational and regulatory rules enforced automatically as telemetry flows. Define the policy once, apply it everywhere.

Why telecom teams choose Expanso

Runs at the edge

Deploys where your cell sites are, not in a central data center.

Complements your stack

Sits before your NMS, RIC, and Splunk. Nothing gets replaced.

Reduces operational risk

Validated telemetry means fewer false alarms and faster root cause analysis.

Scales with your rollout

12-site pilot to nationwide deployment. Same architecture, no rework.

Common questions

Does Expanso replace our NMS or RIC?

No. Expanso sits before your monitoring tools. It validates telemetry at the edge so your NMS, RIC, and SIEM operate on trusted data. Your tools stay where they are.

How quickly can we deploy?

Typical pilots start with 12 sites in 3 weeks. Full nationwide rollouts complete in 14 weeks. No pipeline rewrites or hardware changes.

What cost reduction can we expect?

In one 3,847-site deployment: 47% Splunk cost reduction, 78% telemetry volume reduction, 31% lower backhaul utilization. Results vary by network size and current duplication rates.

Your telemetry should prevent failures, not explain them

Start validating O-RAN telemetry at the edge.