Coryntis Labs 01 / Telecom Transformation & Engineering

AI Transformation.
Built for Telecom.

From strategy to systems that work.

We help telecom operators modernize operations through AI, network digital twins and intelligent automation. We design, develop and integrate solutions into your existing environment—and support them throughout their lifecycle.

Strategy & ArchitectureDevelopment & IntegrationSupport & Evolution
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The operational challenge 02

AI is easy to demonstrate.
Hard to operationalize.

The model is rarely the hardest part. Operational value depends on connecting AI to the data, systems, tools and processes that already run the network.

01

Fragmented data
& systems

Network and operational data is distributed across OSS, monitoring, inventory, ticketing and cloud platforms.

02

Manual
operations

Engineers still spend significant time correlating alarms, checking topology, analysing logs and creating tickets.

03

AI without
operational context

Generic models do not understand your network, services, dependencies or operational procedures.

04

Integration
complexity

AI has to work with the existing OSS/BSS environment. Replacing the operational stack is not the plan.

Services 03 / What we do

From transformation strategy
to working systems.

Engage us for architecture, a delivery project or ongoing engineering support. We connect strategy with development, integration and the long-term care of your operational systems.

01

AI Transformation & Architecture

Turn AI ambition into an actionable roadmap, grounded in your systems, data and operational priorities.

  • AI readiness assessments
  • Use-case prioritization
  • Solution architecture
  • Security & governance
  • Proof of value
  • Production planning
02

Network Digital Twins

Connect inventory, topology and service data into a shared operational model for dependency analysis, troubleshooting and change planning.

  • Data integration
  • Graph modeling
  • Topology reconciliation
  • Service dependencies
  • Change exposure analysis
  • Operational context
03

AI & Intelligent Automation

Reduce manual investigation and repetitive work with AI assistants and controlled operational workflows.

  • AI platforms & agents
  • Alarm correlation
  • Incident enrichment
  • Knowledge assistants & RAG
  • Ticket workflows
  • Evaluation & auditability
04

Software Development & Integration

Build the applications, APIs and integrations your operations need—without replacing everything that already works.

  • Custom applications
  • OSS/BSS integration
  • APIs & data pipelines
  • Operational interfaces
  • Testing & release engineering
  • Cloud & on-premises delivery
05

Support, Maintenance & Evolution

Keep delivered solutions reliable, maintainable and aligned with changing operational needs, under an agreed support scope.

  • Troubleshooting
  • Corrective maintenance
  • Upgrades & patching
  • Integration changes
  • Performance improvement
  • Continued development

Solutions 04

Built for a specific
operational outcome.

These are solution areas we can engineer around your data, tools and operational requirements—not a catalogue of off-the-shelf products.

01 / Incident operations

AI Incident Copilot

Correlate alarms, topology, logs and historical incidents to speed up troubleshooting and root-cause analysis.

02 / Assisted operations

Network Operations Agent

An AI assistant grounded in live network data, governed operational tools and telecom domain knowledge.

03 / Workflow automation

Intelligent Ticket Automation

Analyse events, enrich incidents, and automate ticket creation and routing with clear rules and auditability.

04 / Knowledge operations

AI Knowledge Assistant

Turn documentation, operating procedures and historical knowledge into a governed AI knowledge layer.

05 / Network context

Network Digital Twin

Connect inventory, topology and services to understand dependencies and assess potential change exposure, enriched with available operational evidence.

06 / Service intelligence

Log & Anomaly Intelligence

Detect abnormal behaviour across network and IT services, then explain what changed and why.

Discuss a use case ↗

Network Digital Twin 04 / In focus

Understand the network.
Plan with context.

A shared model connects inventory, topology and services. Operational applications enrich that context with alarms, changes and other available signals so engineers can investigate dependencies and make better-informed decisions.

01

Dependency visibility

What depends on this?

Trace relationships from devices and links to services. Reconcile source data and make coverage, freshness and gaps visible.
02

Change planning

What could this change affect?

Explore downstream dependencies and potential service exposure before a planned change. Use the model to support engineering review, not replace it.
03

Incident investigation

What does the evidence show?

Bring available alarms, telemetry and change history into the dependency context. Separate potential exposure from confirmed service impact.

The model is only as complete and current as its sources. Topology alone does not prove an outage or a customer impact; confirmed impact requires operational evidence.

Explore our Network Digital Twin approach

How we work 05

Design with purpose.
Build for the long term.

Start with a focused assessment, a defined delivery scope or an existing system that needs improvement. We work alongside your team from the first decision through ongoing evolution.

01

Discover

  • Operational priorities
  • Systems & data
  • Use cases
  • Success measures
02

Architect

  • Solution design
  • Proof of value
  • Security & governance
  • Delivery roadmap
03

Build & Integrate

  • Software development
  • System integration
  • Testing & validation
  • Production rollout
04

Run & Evolve

  • Support & maintenance
  • Monitoring & upgrades
  • Continuous improvement
  • Knowledge transfer

Clear ownership and decision gates at every stage. Support scope, service hours and response commitments are agreed for each engagement.

Why Coryntis 06

Senior expertise.
Hands-on delivery.

Our specialists bring hands-on experience from complex telecom environments in Poland and Germany. Architecture, engineering and operational understanding stay connected throughout the engagement.

01

Telco-native

We understand OSS, assurance, network operations and the reality of complex telecom environments.

02

Senior by design

Work directly with experienced specialists who understand the architecture, implement the solution and support its evolution.

03

Vendor-neutral

We work with the technology you already have and choose components around the operational requirement.

04

Engineering over slideware

Architecture and roadmaps matter only when they lead to something that works in production.

Technology expertise 07

Built around your existing environment.

GCPAzureOpenShiftKubernetesGrafanaPrometheusElasticKafkaServiceNowIBM NetcoolInfosim StableNet

IBM Netcool: event-management and integration expertise. Infosim StableNet: monitoring and network-management integration. We connect systems through APIs and protocols including REST and MCP. Technology references describe team experience, not certification, endorsement or formal partnership. Trademarks belong to their respective owners.

Industry 08

We know
telecom.

Coryntis Labs works where network, service and IT systems meet. We understand distributed data, legacy and modern platforms, strict access controls, multiple vendors and services that cannot stop while a new capability is introduced.

Network OperationsOSS & AssuranceB2B ServicesService ManagementNetwork Automation
01Customer / ServiceExperience & impact
02AccessFixed · Mobile · Enterprise
03TransportIP · Optical · Aggregation
04CoreNetwork & service platforms
05Cloud / PlatformsCompute · Data · Integration
06OSS / OperationsObserve · Understand · Act

Selected team expertise 09

Technical experience,
shown as systems.

These representative system patterns are based on work and expertise gained by our specialists before Coryntis Labs was established. They are not Coryntis Labs customer case studies.

01

Team experience · Agentic operations

Agentic AI for Network Operations

Architecture and implementation expertise for governed AI agents accessing operational network data.
02

Team experience · Incident operations

AI-driven Incident Automation

Experience connecting monitoring, topology and ticketing to reduce manual incident handling.
03

Team experience · Network intelligence

Network Digital Twin

Expertise connecting inventory, topology and service data for dependency and impact analysis.

Coryntis Labs case studies will be published as our own customer work reaches production and can be shared responsibly.

About Coryntis 10

Built by telecom people.
For telecom operations.

Coryntis Labs is a specialist transformation and engineering company focused on telecommunications.

Our team combines experience in telecom OSS, network operations, systems integration, automation, cloud platforms and complex technology delivery.

We help operators transform, build and maintain intelligent operational systems—from AI roadmaps and digital twins to custom software, integration and ongoing support.

Insights 11

Practical thinking on
AI in telecom operations.

Technical perspectives for operators and engineering teams working on agentic operations, assurance, automation and network context.

Agentic AI in Telecom Operations: Where to Start

How to choose a useful first case, define the operational boundary and avoid building an agent with no path to production.

From Alarm to Action: Building AI-Assisted Incident Management

Connecting alarms, topology, service context, logs and ticketing into one controlled workflow.

Why Telecom AI Needs Network Context

Operational AI needs to know what the device supports, what depends on it and which tools it may use.

View all insights →

Contact 12

Let’s build your next
operational capability.

Whether you need an AI roadmap, a network digital twin, a custom integration or support for an existing platform, let’s discuss what needs to work better.