Aetheria.Systems
Aetheria.Systems

What breaks in the space between systems

And how we fix it

The integration layer between your platforms is where projects stall, budgets balloon, and promises of 'seamless connectivity' fall apart. We specialize in making these connections actually work.

What we deliver

Core Services

Integration Architecture & Development

Building the connections that don't come in a box

When your CRM needs to talk to your ERP, your contact center needs backend data, or your finance system needs to export to analytics—and there's no pre-built connector—we architect and build the integration layer.

What's included:

  • Custom API development and integration
  • Real-time data synchronization between cloud and on-premise systems
  • Event-driven architecture and webhook orchestration
  • Legacy system connectivity (SFTP, database exports, screen scraping when necessary)
  • Authentication management (OAuth, SAML, API keys, token refresh automation)
  • AI-assisted data mapping and field transformation across disparate systems

This is where vendor promises end and real integration work begins. We map the data flows, handle the edge cases, and build what survives production.

The Undercloud Layer

Where documentation ends and troubleshooting begins

APIs that timeout. Authentication tokens that expire. Field mappings that break when upstream systems change. SFTP jobs that fail silently. We live in this layer—fixing what others can't troubleshoot, documenting what was never documented.

What's included:

  • Integration troubleshooting and remediation
  • Undocumented API mapping and reverse engineering
  • Error handling and retry logic implementation
  • Monitoring and alerting for integration failures
  • AI-powered anomaly detection (catch issues before they cascade)
  • Intelligent error interpretation and suggested fixes
  • Creating the documentation that should have existed

Most integration projects come with handoff documents nobody can follow. We create what's actually needed to support these systems.

Automation & Orchestration

Eliminate manual data movement

When your teams are copying data between systems, triggering processes manually, or waiting for overnight batch jobs—we build the automation layer. RPA where APIs don't exist, event-driven workflows where they do, AI where human judgment used to be required.

What's included:

  • Process automation for operations, finance, and customer service
  • Workflow orchestration across multiple platforms
  • RPA deployment for legacy systems without APIs (AI-enhanced for resilience)
  • Real-time event processing and routing
  • Scheduled job management and monitoring
  • AI-powered document extraction (invoices, PDFs, emails into structured data)
  • Intelligent error handling and auto-remediation

Automation only works if it can be supported by your team. We build for the operations staff, not just the demo.

Sustain & Support

We maintain what we build

The integration layer needs ongoing attention. Systems change, APIs get deprecated, authentication breaks. We provide the support so your team isn't left troubleshooting at 2 a.m.

What's included:

  • Ongoing monitoring and maintenance of integrations
  • Troubleshooting failed data flows and API errors
  • Documentation updates as systems evolve
  • On-call support for critical integration failures
  • Enhancement and evolution as requirements change

We stay around to support what we built. No hand-off-and-disappear.

Cross-cutting capability

AI Capabilities Across Services

We leverage AI to solve integration problems that were impossible with traditional approaches. Pattern recognition, unstructured data extraction, and adaptive systems that learn from their environment.

Integration Intelligence

AI that understands data structures and translates between incompatible systems

Applications:

  • Automated schema mapping and field transformation across disparate systems
  • Intelligent API contract analysis and compatibility detection
  • Natural language to data structure translation
  • Pattern-based data normalization and cleaning

Undercloud Intelligence

AI that monitors, interprets, and predicts integration failures before they cascade

Applications:

  • Anomaly detection in data flows and API behavior
  • Intelligent error interpretation with suggested remediation
  • Predictive failure analysis based on historical patterns
  • Automated root cause analysis for integration failures

Automation Intelligence

AI that extracts structured data from unstructured sources and adapts to changing interfaces

Applications:

  • Document extraction: invoices, PDFs, emails, scanned forms into structured data
  • Intelligent workflow routing based on content and context
  • AI-enhanced RPA that adapts when UI elements change
  • Natural language processing for customer service automation

Operations Intelligence

AI that supports and maintains integrations with minimal human intervention

Applications:

  • Predictive monitoring and intelligent alerting
  • Auto-remediation for common failure patterns
  • Intelligent log analysis and troubleshooting assistance
  • Capacity planning and performance optimization recommendations

We deploy AI where it solves real problems - not as a buzzword. Schema mapping that used to take weeks of manual field analysis. Error patterns that humans miss. Documents that teams were manually transcribing. These are AI applications that compound value.

Platform expertise

What we connect

We don't implement these platforms. We connect them. Cloud to on-premise. Modern to legacy. Whatever you've already invested in.

Cloud Platforms

  • AWS
  • Azure
  • Google Cloud
  • Salesforce
  • ServiceNow
  • Workday
  • Oracle Cloud

Any major cloud platform

On-Premise & Legacy

  • Legacy databases
  • Mainframe systems
  • Custom applications
  • File-based systems (SFTP, FTP)

Even when there's no API

Enterprise Applications

  • ERP systems
  • CRM platforms
  • Contact centers
  • ITSM tools
  • Finance & accounting systems

The systems you're already running

Integration Tools

  • MuleSoft
  • Boomi
  • AWS Lambda & Step Functions
  • Azure Logic Apps
  • Custom APIs

Whatever tool fits the requirement

Engagement models

How we work

Discovery & Architecture

2-4 weeks

We map the current state, identify what's broken or missing, and design the integration architecture. You get a technical design doc and implementation roadmap—honest scope with no surprises.

Best for:

When you need to understand what's actually required before committing to a full build

Build & Deploy

6-16 weeks (depending on complexity)

We build the integrations, test under real-world conditions, deploy to production, and document everything. Your team gets working code and the ability to support it.

Best for:

Executing on a defined integration requirement with clear success criteria

Sustain & Evolve

Ongoing

Post-deployment support, monitoring, troubleshooting, and enhancement as your systems evolve. We stay around to maintain what we built.

Best for:

Keeping integrations running reliably without hiring dedicated integration specialists