Automation · Cloud Infrastructure · Cost Intelligence · Business Intelligence

Engineering systems
for modern
operations.

Cyber Eclipse builds automation, cloud infrastructure, FinOps, and business intelligence for production environments.

See our work
Run trace · Lead intake Running
Lead receivedWeb form 0.4s
QualificationAI · 94% confidence 2.7s
CRM updatedRecord 4471 1.7s
Human approvalWaiting on a person 11.4s
Reply sentEmail · logged 2.2s
Total 0.0s Machine 7.0s · Waiting on a person 11.4s Illustrative run
Automation / 01

AI Automation

Sheet 01 · Process

Automate operational workflows with AI, business rules, system integrations, and human approval.

  • ALead intake and qualification — automated intake, classification, routing, and follow-up.
  • BDocument and email processing — extract, validate, and route information from messages and attachments.
  • CCRM operations — create, update, enrich, and synchronize operational records.
  • DApprovals and routing — apply business rules, escalate decisions, and continue execution after approval.
Business rules

A request enters the workflow, is classified, structured, evaluated against business rules, routed for approval when required, and written back to the operational system.

Lead intake · process Stage A
A New request Form · Inbox · API B1 AI classify Topic · Priority · Owner B2 Extract data Fields · Checks C Business rules Limits · Owners · Exceptions D1 Approve Person in the loop D2 Route Queue · Owner E CRM / Email Write back · Audit log
Intake Model Policy Decision Write-back
  1. New requestArrives from a form, an inbox or another system, and is recorded before anything acts on it.
  2. AI classify + extractWorks out the topic, priority and owner, and pulls out the fields the next system needs.
  3. Business rulesYour limits, owners and exceptions decide what happens next.
  4. Approve or routeA person approves, or the request moves to the right queue with its history attached.
  5. CRM / EmailThe result is written back where your team works, and logged.
Infrastructure / 02

Cloud Infrastructure

Sheet 02 · Reference architecture

Design, deploy, and operate cloud infrastructure for performance, resilience, security, and scale.

  • AInfrastructure as Code — repeatable environments, configuration, and deployment.
  • BDelivery engineering — build, release, rollback, and environment promotion.
  • CMigration and modernization — move and evolve workloads across cloud and hybrid environments.
  • DReliability and observability — monitoring, telemetry, incident visibility, and operational readiness.
Target platform · AWS

Switch platform above, or select a layer, to read what it is responsible for and which services implement it.

Reference architecture · Rev B Target platform: AWS
Layer 00
Layer 01
Layer 02
Layer 03
Layer 04
Provisioned as code · Terraform / CDK
FinOps / 03

Cost Intelligence

Sheet 03 · Run-rate

Turn cloud spend into engineering decisions. Measure utilization, allocate cost, identify waste, and prioritize changes by financial impact and engineering effort.

  • ACost visibility — service-level spend, ownership, and run-rate.
  • BUtilization — capacity measured against real workload demand.
  • CArchitecture economics — egress, retention, idle capacity, topology, and service selection.
  • DOptimization — prioritized changes with expected impact and implementation effort.

Each opportunity is ranked by expected impact, implementation effort, and operational priority.

Modeled run-rate opportunity

0%
Illustrative infrastructure model
ComputeOversized always-on capacity relative to observed workload · 21% used
today rightsized
−42%Medium effort
DatabaseProvisioned throughput and topology above workload demand · 38% used
today rightsized
−31%Medium effort
StorageHot-tier retention beyond access requirements · 9% ever read
today tiered
−55%Low effort
NetworkCross-zone and edge traffic requiring architecture review
today re-routed
−12%High effort
Run-rate today After the architectural change
Intelligence / 04

Data & Business Intelligence

Sheet 04 · Decision surface

Turn operational data into decision-ready intelligence.

Define the metrics, connect the data, and deliver reporting for performance, flow, and operational change.

  • 01PerformanceThroughput, completion rates, service levels, and automation.
  • 02FlowQueues, workflow state, ownership, and bottlenecks.
  • 03Change impactMeasure operational results before and after process or system changes.

Operational reporting built for daily decisions.

Operations Live
Handled · 7d 12,480 +18%
Completed automatically 86% +9 pts
Median handling 18s −41%
Completed automatically · 12 weeks W12 · 86%
Lead qualificationHealthy
Invoice extractionHealthy
Supplier onboardingQueue building
Illustrative data
A Cyber Eclipse product

OpsGate

Built and operated by Cyber Eclipse

Operational intelligence for WordPress operations

OpsGate gives agencies one operating view across their WordPress portfolio—site health, scans, alerts, activity, reports, and operational evidence in one product.

  • PortfolioMonitor sites, status, and operational conditions across the managed estate.
  • ExecutionRun scheduled and triggered checks with evidence recorded for each run.
  • IntelligenceTurn scan results and operational activity into alerts, investigation, and reporting.
  • OperationsManage sites, account controls, billing, credentials, and recurring workflows from one console.
  • DistributionThe OpsGate connector is published on the WordPress.org plugin directory.

Designed and built by Cyber Eclipse as a multi-tenant SaaS platform with API-driven operations and run-level evidence.

Partnership

Cyber Eclipse is an AWS Partner

Cloud architecture, deployment, migration, and operations on AWS.

AWS Partner
Engagement

How we work

Engagement models

Four engagement models, applied to the stage the system is in.

StageScopeDeliverable
01

Assess

Establish the current architecture, operating constraints, risk, cost, and implementation priorities.

Technical assessment, prioritized findings, and recommended execution path.

02

Build

Design and implement automation, infrastructure, integrations, and reporting systems.

Production implementation, deployment pipeline, documentation, and operational handover.

03

Optimize

Improve the performance, reliability, cost, or operating model of an existing system.

Implemented changes, measured impact, and controls for ongoing operation.

04

Operate

Provide ongoing engineering ownership for production systems and platforms.

Monitoring, controlled changes, incident response, and operational stewardship.

Bring us
the system.

Book a 30-minute engineering call or send the project details.

01Current state. Bring an architecture diagram, workflow, cloud-cost view, screen recording, or operating process.
02Requirements. We review the workload, constraints, dependencies, and operating priorities.
03Engineering path. We define the architecture, implementation sequence, and immediate next step.
04Follow-up. Receive a written scope and estimate within two business days.

Tell us about the project

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Tell us briefly what the project involves.
Project inquiries are reviewed within two business days.

Thank you

Your project details have been received. Cyber Eclipse will review the request and follow up using the email you provided.

If it is easier to talk it through, you can also book a call directly.