Feature Marketplace · Connectors
twyn.ai Connector
twyn.ai telecom CPQ, Order Management and Service Operations platform. Syncs customers, orders, products, and services with bidirectional webhook support.
What syncs
The twyn.ai records STRAX brings into your hub.
Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it. Where twyn.ai announces changes, they arrive as they happen.
Customers
Customer accounts including contact details and service subscriptions.
Changes arrive as they happenOrders
Service orders for provisioning, modification, and disconnection.
Changes arrive as they happenProducts
Product catalog including service packages and add-ons.
Changes arrive as they happenServices
Active service instances provisioned for customers.
Changes arrive as they happentwyn.ai data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The twyn.ai records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to twyn.ai with an access token that you provide, stored encrypted.
How STRAX connectors work → How the STRAX integration engine works → Connecting a system, in the documentation →
About this listing
| Version | 1.0.1 |
| Author | STRAX |
| Category | Connectors |
| Published | 2026-07-10 |
What's inside
| Connector profile | 1 |
Free listing
Install it from Feature Marketplace inside STRAX
Open Feature Marketplace
In your STRAX installation, open Feature Marketplace from the navigation.
Find "twyn.ai Connector"
Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.
Install
Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.
See it on your own systems.
A demo takes an hour, on your data landscape rather than ours.


