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Nathan Claire Group
Intelligent observability platform

See every system.
Understand every customer.
Fix it before they notice.

Nathan Claire delivers intelligent observability for organisations' most critical digital services through Edge, our unified observability and AIOps platform. One console. Twelve modules. AI that turns data into action.

Evaluating APM? See our application performance monitoring solutions

12 Modules1 Unified Data Lake100+ IntegrationsAI-native from day one
Deployed across
Banking·Telecom·Insurance·Public Services·Retail·Fintech·Payment Switches·Microfinance·Banking·Telecom·Insurance·Public Services·Retail·Fintech·Payment Switches·Microfinance·
01 · Why Edge?

Performance issues have a cost. Edge catches them early.

Edge is built to surface and automatically resolve these issues before they turn into real costs.

Read the banking case study

A delay is a lost transaction

A one-second delay measurably reduces completed transactions. Latency anywhere in the funnel, and sales drop with it.

An outage outlives itself

Have an outage and churn climbs 20–30%, long after systems are back up. These patterns persist wherever customers interact digitally.

Edge fills in your blind spots

Revenue loss on failing transactions runs at 2–5% for poorly performing systems. Teams stay stuck firefighting instead of engineering.

80%
Faster detection
vs. legacy monitoring
60%
Faster resolution
mean time to resolve
90%
Less alert noise
AI-filtered signals
30%
Lower infra cost
through automation
02 · What we do

Closed-loop performance engineering

Edge runs on one loop: full visibility across your systems, real insight into your customers, and fixes that happen automatically.

Observability

See every layer, without the blind spots

Observability means one view across infrastructure, applications, transactions and customer journeys. Edge integrates with what you already run and brings every layer into a single console.

InfrastructureApplicationsTransactionsExperience
Operational intelligence

Know which issue to tackle first

Operational Intelligence turns raw signals into ranked, prioritised causes. Edge correlation and AI point straight at the failing component and what it is costing the business.

Automation

Resolution, without the queue

Automation takes a detected issue straight through to resolution. Edge runs playbooks and triggers that resolve them the moment they are detected.

Analytics and engagement

Insight built for the role, not just the system

Analytics and engagement shape one dataset for whoever is reading it. Edge gives engineers their traces, operations their service health, and executives their revenue and experience impact.

All nine service areas

Built for the whole organisation

The same truth, shaped for whoever is reading it

One platform, three lenses. Choose a role to see what Edge surfaces for them.

Engineering view

Get to the failing line, not a shortlist

Engineers get distributed traces, service maps, slow-query detection and the execution plan captured at the moment of the slowdown. Correlation across application, database and infrastructure happens in one investigation rather than four.

Live investigation
Checkout latencyAnomaly
↑ 184% abnormal
Checkout APISlow
Response time: 1.82s
orders-dbQuery
Slow query · 842ms
Deployment v4.21Deploy
Released 18 min before degradation
EDGE findingRoot cause
Regression: deployment v4.21
Distributed TracesQuery AnalysisLearned BaselinesDeployment Correlation<2% Agent CPU
View all capabilities
03 · Our product

Edge: enterprise performance monitoring

One platform for complete digital performance visibility. Explore each EDGE capability to see how your teams monitor, investigate and resolve issues across the technology stack.

edge.ncgafrica.com / rum
LIVE
RUM

Real user monitoring across web, mobile and hybrid apps

Deep visibility into how customers use and respond to digital channels, turning process metrics into behavioural intelligence.

Real User Monitoring · ProductionLIVE
Apdex
0.94
Satisfied
Sessions
17.6k
+1.3%
LCP p75
1.8s
Good
Page load · 24hp50 / p95

Understand every digital experience your customers have

Deep visibility into how customers use and respond to digital channels, turning process metrics into behavioural intelligence. Every session, every journey, every interaction correlated back to the systems behind them.

Live experience tracking
Continuous measurement of how real users experience your applications, correlated to infrastructure and application performance.
Journey intelligence
Full funnel analysis from landing to conversion, with drop-off attribution across device, region and channel.
Device and region insight
Segment performance by device type, operating system, browser version and geographic location.
Session replay
Replay individual sessions with privacy controls, identifying rage clicks, dead clicks and confusion patterns.
Explore RUM
04 · How the loop runs

Four moves, and it repeats

This is a genuine sequence, and each step feeds the next. It is the reason our clients move from firefighting to engineering.

01

Capture

Lightweight, self-managing agents collect signals from every device, service and host across your environment.

02

Correlate

Every event is enriched with device, OS, network and location, then joined across modules, so nothing sits in isolation.

03

Act

Ranked root causes trigger playbooks, or reach the right team with the context they need to fix it fast.

04

Document

Dashboards and analytics turn the outcome into a clear record, ready for reporting and the next decision.

05 · Measured outcomes

What actually changes after deployment.

Across all Edge engagements
60%

Reduction in mean time to resolution

Avg. across deployments
70%

Faster threat detection and response

vs. pre-Edge baseline
47%

Reduction in unplanned downtime

Across production environments
30%

Reduction in infrastructure cost

Right-sizing and visibility
41%

Improvement in customer experience scores

CSAT and NPS uplift
$50M+

Revenue protected from performance incidents

Across all Edge engagements
06 · Case study

The month-end failure that cost a bank $2.3 million

A digital banking platform degraded every month-end. Transaction failures hit 12%, response times exceeded 15 seconds, and 50,000 complaints arrived in three days. Edge found four simultaneous root causes across database, infrastructure, application and third parties.

"The constraint was never capacity. It was visibility."

After Edge-driven optimisations
Lower transaction response
6s → 900ms
↓ 85%
Lower query time
8s → 650ms
↓ 92%
Lower database CPU usage
92% → 20%
↓ 78%
Fewer daily timeouts
12,000 → under 100
↓ 99%
Digital banking · West AfricaFull case study
Edge Enterprise Performance Monitoring

Twelve modules. One data lake. One version of the truth.

Edge correlates data across every layer, from a customer's tap through to the database query behind it. Technical health connected directly to business outcomes.

Explore the platform
12
Core modules
100+
Integrations
3
Pillars of EPM