Company Intelligence

Enlitic

Colorado imaging data company standardizing radiology data with AI so health systems and AI vendors deploy on clean, interoperable foundations

In this profile

Quick Facts

  • Founded 2014
  • Headquarters Fort Collins, United States
  • Country United States
  • Industry AI in Healthcare
  • Status Active
  • Website Official site
  • Last Reviewed Jul 2026

Executive Summary

Enlitic is a medical imaging software company founded in 2014 that uses artificial intelligence to standardize, integrate, and manage radiology data across health systems — positioning clean imaging data as the foundation required before diagnostic AI algorithms scale reliably in production. Michael Sistenich serves as chief executive officer per Enlitic's team page reviewed in July 2026. The company is headquartered in the Fort Collins, Colorado area, with April 2026 press materials datelined Loveland, Colorado.On April 9, 2026, Enlitic announced Ensight 2.2, a platform release Sistenich described as giving customers an unprecedented way to see and use imaging data rather than treating it as a black box — building on Ensight 2.1's flexible approach to aligning imaging data with customer terminology and workflow requirements.

Why It Matters

Enlitic pivoted from diagnostic algorithm hype toward imaging data standardization — Ensight 2.2 treats radiology data quality as the prerequisite for hospital AI scale, a thesis increasingly validated as algorithms fail in production on inconsistent DICOM metadata and terminology.

Products

Recent Developments

  1. 2026 Leadership

    2026: Michael Sistenich serves as CEO per enlitic.com team page.

    Source
  2. 2026 Development

    April 9, 2026: Enlitic announced Ensight 2.2 with enhanced imaging data visibility, configuration, and validation tools.

    Source
  3. 2014 Development

    2014: Enlitic founded; early AI medical imaging focus evolved toward data standardization platform.

    Source
  4. 2014 Company founded

    Enlitic was founded in 2014 per the company profile source on file.

    Source

Connected Reports

Connected Insights

Industries

Technologies

Introduction

Enlitic is a medical imaging software company founded in 2014 that uses artificial intelligence to standardize, integrate, and manage radiology data across health systems — positioning clean imaging data as the foundation required before diagnostic AI algorithms scale reliably in production. Michael Sistenich serves as chief executive officer per Enlitic’s team page reviewed in July 2026. The company is headquartered in the Fort Collins, Colorado area, with April 2026 press materials datelined Loveland, Colorado.

On April 9, 2026, Enlitic announced Ensight 2.2, a platform release Sistenich described as giving customers an unprecedented way to see and use imaging data rather than treating it as a black box — building on Ensight 2.1’s flexible approach to aligning imaging data with customer terminology and workflow requirements.

What the company does

Enlitic’s Ensight platform standardizes radiology data from MRI, CT, X-ray, and ultrasound sources, protecting and integrating DICOM and related metadata so downstream systems — PACS, AI algorithms, analytics platforms, and research databases — receive consistent, validated information. Ensight 2.2 adds stronger configuration, testing, and refinement tools for how data flows across systems, accelerating deployment and reducing validation friction per Enlitic’s April 2026 announcement.

The release includes platform enhancements for throughput, complex imaging data support, study search, representative dataset building, configuration comparison, and validation against human-labeled ground truth — capabilities aimed at teams handling higher imaging volumes who need predictable data delivery rather than manual cleanup exceptions.

Enlitic frames its products as creating the foundation for real-world evidence platforms improving clinical workflows, increasing efficiencies, and expanding radiology capacity — a data-layer value proposition distinct from single-organ diagnostic AI point solutions.

Who it serves

Enlitic serves health systems and radiology networks struggling with inconsistent imaging metadata that breaks AI deployments and cross-site analytics. Partners include imaging AI validation platforms and PACS vendors — Enlitic’s 2026 press timeline references CARPL.ai partnership and Sectra integration announcements alongside Ensight deployments at organizations such as RHCNZ in New Zealand.

Radiology informatics leaders evaluating Ensight typically measure reduced manual data cleanup, fewer workflow exceptions, faster AI vendor onboarding, and improved cross-site study comparability — metrics that matter before any diagnostic algorithm accuracy benchmark.

Company background

Enlitic was founded in 2014 amid early deep learning excitement for medical image classification, then evolved toward enterprise imaging data management as health systems discovered algorithm accuracy alone could not overcome inconsistent DICOM tags, terminology mismatches, and site-specific workflow variations. Sistenich leads the company through the Ensight 2.x platform generation emphasizing transparency and configurability over black-box data processing.

Enlitic’s Colorado base situates it outside traditional coastal medical AI clusters — a geography reflecting enterprise health-system customers across U.S. community and regional radiology networks rather than academic center pilots alone.

Product and AI capabilities

Enlitic applies AI to imaging data standardization — detecting anomalies in metadata, mapping terminology to customer-specific ontologies, and validating data quality before algorithms consume studies. Ensight 2.2’s ground-truth comparison tooling lets teams measure standardization accuracy against human labels — a governance feature radiology informatics directors require before trusting automated data pipelines feeding clinical AI.

Sistenich stated Ensight 2.2 helps teams understand data condition, identify issues, and uncover operational improvement opportunities — language positioning Enlitic as imaging data infrastructure rather than a competing diagnostic algorithm vendor.

Key developments

2014: Enlitic founded with AI medical imaging focus evolving toward Ensight data platform. April 9, 2026: Ensight 2.2 announced with enhanced visibility, configuration, and validation (enlitic.com press, official source). 2026: Michael Sistenich CEO; CARPL.ai and Sectra integration partnerships per Enlitic press timeline.

Ensight 2.1-to-2.2 progression reflects iterative enterprise deployment learning — each release adds configurability health systems requested during validation phases rather than one-time algorithm launches.

Why it matters

Enlitic matters because hospital AI programs fail more often on data quality than model AUC — Ensight 2.2 is Enlitic’s 2026 bet that imaging AI scale requires standardized data pipelines before algorithm marketplaces matter. Sistenich’s black-box framing resonates with radiology informatics leaders who manually clean DICOM exports before research or AI teams can use them. When Ensight 2.2 lets teams compare configurations against human-labeled ground truth, radiology IT gains audit evidence compliance officers require before automated data feeds reach clinical algorithms.

Enlitic complements diagnostic imaging AI vendors such as Aidoc and RapidAI — those companies deploy clinical algorithms while Enlitic prepares the data layer underneath. Health systems buying both should sequence Ensight standardization before multi-vendor AI rollout.

Sector context

Enlitic belongs in Brel’s AI in healthcare coverage under medical imaging infrastructure, related to radiology AI vendors like Lunit and Ezra but solving data standardization rather than diagnostic detection. Readers evaluating imaging AI roadmaps should budget data platform work alongside algorithm procurement — a line item Enlitic targets directly for enterprise radiology networks.

PACS administrators comparing Ensight to vendor-native normalization tools should evaluate cross-algorithm portability — proprietary cleanup locked to one AI vendor increases switching costs when hospital AI marketplaces expand.

Sources and references

Enlitic Ensight 2.2 press release (April 9, 2026) and About page.

  • Enlitic — Ensight 2.2 (enlitic.com, April 9, 2026)
  • Enlitic — About (enlitic.com)

Reviewed July 10, 2026. Michael Sistenich is CEO. HQ Fort Collins area; press dateline Loveland, CO.

Official resources

Sources and references

This article draws on publicly available company information, official websites, filings, interviews, announcements, and other cited sources. Information may change over time.

Company information is based on publicly available sources and is reviewed periodically. If you represent this company and would like to request a correction, contact Brel.

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