What Enlitic's (ASX:ENL) Ensight v2.3 release and Sectra integration mean for its platform

Sonal Goyal

06 October 2026 05:34 PM AEDT

What Enlitic's (ASX:ENL) Ensight v2.3 release and Sectra integration mean for its platform

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Enlitic, Inc. (ASX:ENL) has released version 2.3 of its Ensight medical imaging data platform, expanding the number of commercial applications from eight to 12 and adding integration with software from Swedish medical technology company Sectra.

According to the announcement, released on 6 October 2026, the upgraded software-as-a-service release adds four new commercial capabilities across migration, operational analytics and clinical workflow use cases, while extending the environments in which Ensight can be deployed.

What is new in Ensight v2.3

The four applications added in v2.3 are Productivity and Operational Analytics, Mass Archive Standardisation, Integrated Migration and Archive Standardisation, and Standardised data for Automated Case Allocation.

According to the company, Mass Archive Standardisation applies Ensight's standardisation across a customer's historical imaging archive at scale.

Integrated Migration and Archive Standardisation standardises imaging data as it is migrated to a new environment. The company said this allows Ensight to be introduced as part of a migration engagement itself, rather than relying on a separate deployment afterwards. Automated Case Allocation uses standardised data to direct each study to the most appropriate radiologist.

The release also includes a new Export API and improved AI models for X-ray and de-identification.

Sectra integration and OEM pathway

Ensight can now be integrated with Sectra's picture archiving and communication system (PACS), the second major Original Equipment Manufacturer (OEM) environment after Intelerad. According to the announcement, Sectra manages more than 170 million annual imaging exams across more than 2,500 sites worldwide.

Enlitic said v2.3 also includes a third major OEM integration, subject to customer validation testing, and that it expects to announce details of successful validation before the end of 2026.

Chief Executive Michael Sistenich said: "Ensight v2.3 expands both what we can sell and where we can deploy it." He added that the new migration and OEM capabilities "give us additional points of entry into large health systems."

Commercial model

Enlitic describes its strategy as a "land and expand" model. Migration projects are used to win customers and generate near-term revenue, after which Ensight is embedded to generate recurring subscriptions, with further capabilities added over time. The company said the expanded applications are available to existing customers as additional subscriptions to grow annualised recurring Revenue (ARR).

Looking further ahead, Enlitic said five further commercial applications are planned for 2027, covering RadLex and SNOMED CT code output, procedure code inferencing, billing and coding optimisation, and research data management and bulk de-identification. The announcement notes that this future functionality "is indicative only and remains subject to development, validation and commercial prioritisation."

FAQs

Q: What is new in Ensight v2.3?

A: The release lifts commercial applications from eight to 12, adding Productivity and Operational Analytics, Mass Archive Standardisation, Integrated Migration and Archive Standardisation, and Standardised data for Automated Case Allocation, along with a new Export API and improved AI models.

Q: What does the Sectra integration involve?

A: Ensight can now be integrated with Sectra's picture archiving and communication system, the second major OEM environment after Intelerad. Enlitic said v2.3 also includes a third major OEM integration, subject to customer validation testing, with details expected before the end of 2026.

Q: Did Enlitic disclose revenue from the release?

A: No. The announcement does not quantify new contracts, revenue or annualised recurring revenue arising from the release, and the company cautioned that results could differ materially from expectations.

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