Safe Migration Without Risk
No risky rip-and-replace. Run in parallel before you switch.
Modernise your entitlement server with NetLync’s Parallel Entitlements — upgrade piece-by-piece while safely running alongside your legacy system until you’re ready to switch.
Why Replace Your Traditional Entitlement Server
Stop overpaying for outdated solutions
Slow Integrations
Deployments take 6–24 months, delaying your ability to launch new services.
Expensive Model
Large upfront costs, hidden fees, and fixed-cost, services-heavy setups eat into budgets.
Opaque Systems
No MVNO benchmarking or KPI transparency, leaving you blind to performance.
Painful Upgrades
Every new OEM feature requires starting over — with high project and upgrade costs.
Retail-Centric Software
Built for big Tier 1s, not MVNOs or Tier 2s — leaving you with mismatched tools.
Don’t let traditional systems dictate your customer experience – innovate on your terms.
NetLync vs Traditional ES Vendors
How Parallel Entitlements Work
If you already have an ES with traditional vendors, you can still use NetLync’s EaaS® to seamlessly implement new features like eSIM Quick Transfer and RCS alongside your existing ES. EaaS® operates independently, in parallel — ensuring your current system continues to manage what it does today, without disruptions.
The First and Only In The Industry
NetLync’s Entitlements-as-a-Service® (EaaS®) is the pioneer and market leader — the first and only platform to bring true SaaS innovation to carriers worldwide.
EaaS® Pioneer
The first and only true SaaS for entitlements (trademark protected).
Universal Entitlements®
The first to help non-Apple partner carriers access entitlements.
Parallel Entitlements
The first to support multi-device entitlement architecture.
RCS for Non-OEM Partner Carriers
The first to enable RCS entitlements across non-partner carriers.
Android's PNV
The first to test and demo Phone Number Verification with Google Cloud.
No Lock-In Contracts
The first to offer pay-as-you-grow pricing with zero commitments.
AI-Assisted
The first to detect issues proactively, explain failures instantly, and optimise performance with big-data analytics.