Enlitic Review
VisitAI-powered medical imaging data standardization for healthcare
Enlitic is an AI platform that standardizes and manages medical imaging data for healthcare organizations.
AI Panel Score
7.5/10
6 AI reviews
Reviewed
AI-powered medical imaging data standardization for healthcare
Enlitic is an AI platform that standardizes and manages medical imaging data for healthcare organizations.
AI Panel Score
6 AI reviews
Reviewed
Enlitic is a healthcare AI company focused on medical imaging data management and standardization. Its core product, ENDEX, is designed to address the widespread problem of inconsistent, mislabeled, or incomplete DICOM metadata that exists across hospital systems and imaging archives. By automating the identification and correction of imaging data, Enlitic helps organizations build more reliable datasets for both clinical and AI development purposes.
The platform is primarily aimed at radiology departments, health systems, integrated delivery networks, and organizations building AI-driven diagnostic tools. It serves both operational use cases—such as routing and worklist management—and strategic ones, like preparing imaging data for machine learning pipelines or research initiatives.
Enlitic's key capabilities include automated DICOM data auditing, de-identification, normalization, and enrichment. These functions reduce the manual burden on IT and informatics teams while improving the consistency of imaging data across disparate systems and vendor environments.
In the broader medical imaging AI market, Enlitic occupies a niche focused on data infrastructure rather than diagnostic AI itself. While many competitors develop algorithms to read or interpret scans, Enlitic's differentiation lies in ensuring the underlying data is accurate and standardized—a foundational requirement for any downstream AI or clinical workflow application.
Pricing and trial availability are not publicly disclosed on the company's website, and prospective customers are directed to contact the company for product demonstrations and commercial arrangements.
Provides researchers with standardized and anonymized imaging datasets to streamline data preparation and enable global clinical collaboration.
Improves data quality and workflows within imaging archives to enable strategic insights, cost savings, and competitive advantage for hospital executives.
Analyzes standardized data after migration to surface organizational efficiency insights and improve operational performance.
Executes data migration workflows automatically using high-speed transfer processes that keep operations uninterrupted.
Automates high-speed transfer of imaging and clinical data between systems during healthcare mergers and acquisitions with minimal operational disruption.
Automates imaging data workflows within the ENDEX platform to reduce manual effort and improve operational efficiency across radiology departments.
Evaluates and corrects imaging data quality prior to migration, ensuring data integrity throughout the transfer process.
Standardizes medical imaging data to ensure it is correct, complete, and consistent across healthcare systems.
Identifies and fixes hanging protocol issues in medical imaging data to streamline radiologist workflows and reduce errors.
Integrates standardized medical imaging data across healthcare IT infrastructure to ensure compatibility and security across connected systems.
Anonymizes protected health information (PHI) in medical imaging data to support compliance and enable research insights.
Sales-led pricing for healthcare organizations, hospitals, diagnostic imaging centers, and enterprise radiology providers seeking AI-driven medical imaging data standardization, migration, and workflow solutions. No public pricing is available; prospective customers must contact Enlitic directly or request a demo for a personalized quote.
Enlitic owns the unglamorous plumbing layer of medical imaging AI — narrow wedge but defensible.
“Enlitic was founded 2014, raised $55M across five rounds, and completed a $5M acquisition of Laitek in 2024 to add data migration to its ENDEX standardization platform. CEO Michael Sistenich leads a team focused on radiology departments and health systems that need cleaner DICOM data for downstream AI and clinical workflows.”
Healthcare data plumbing isn't a board-room story. It's the layer that breaks when an M&A integration goes sideways or a radiology AI pilot fails on bad inputs. Enlitic sells the cleanup.
ENDEX standardizes DICOM metadata. Migratek, picked up in the 2024 $5M Laitek acquisition, handles the high-speed migrations. Enlitic was founded 2014, raised $55M across five rounds, with a $25M Series B led by Thorney in November 2019. CEO Michael Sistenich runs it lean.
But this is a narrow lane and the pricing is sales-only. Aidoc and Rad AI are pulling capital and attention in the diagnostic AI category, and plumbing pitches lose CIO mindshare to algorithms that read scans. Pilot ENDEX on one PACS for 90 days, then decide.
Underserved wedge — few direct competitors in DICOM data prep while most peers chase diagnostic algorithms.
Buying the picks-and-shovels layer beneath imaging AI reads as sensible due diligence to a board.
DICOM standardization payback is measurable via cleaner downstream pipelines but rarely lands inside a single quarter.
Narrow infrastructure play that only matters if you're already running or planning a radiology AI program.
Twelve years in market, $55M raised, recent $15.2M equity raise funded the Laitek deal — modest but persistent.
Health systems who need cleaner DICOM data before deploying diagnostic AI.
Buyers who want a diagnostic AI that reads scans directly.
Enlitic owns the boring infrastructure layer — DICOM cleanup is what makes downstream radiology AI usable.
“Founded by Jeremy Howard in 2014 and now sitting on roughly $55M raised across six rounds, Enlitic walked away from diagnostic algorithms to build ENDEX, ENCOG, and Migratek around DICOM normalization. The strategic mismatch is real — a CIO chasing AI reads sees plumbing, while an informatics director chasing archive integrity sees the actual problem.”
Radiology AI has a metadata problem nobody wants to own. Study descriptions drift across modality, vendor, and decade of acquisition — even inside one PACS. Every diagnostic algorithm and every research dataset eventually hits this wall.
ENDEX uses computer vision and NLP to remap inconsistent DICOM tags into standardized study descriptions, ENCOG handles PHI anonymization, and Migratek (the Laitek integration) moves archives during M&A. Eleven documented capabilities cover standardization, hanging protocol fixes, and PACS routing. The GE HealthCare Genesis Cloud collaboration signals OEM-grade integration.
However, the catch is buyer alignment. Enlitic raised $55M across six rounds — Marubeni led a $15M Series B in April 2019, Thorney led a $25M Series B-1 that November — funding an enterprise data layer, not a per-radiologist scribe. For a CMIO standardizing imaging across an IDN before layering Aidoc or Rad AI reads, that's the right sequencing.
Niche but defensible — data infrastructure rather than diagnostic algorithms, distinct from Aidoc and Rad AI on the read side.
Hanging protocol resolution, DICOM standardization, and PACS integration map directly to how imaging informatics teams actually work.
PACS and enterprise imaging integration plus the GE HealthCare Genesis Cloud collaboration give a credible footprint, though the integration catalog is sales-led.
A clean DICOM substrate is foundational for any downstream diagnostic AI or research pipeline over a 3-5 year horizon.
ENDEX, ENCOG, and Migratek cover the full data-quality lifecycle for medical imaging, not a single point fix.
Imaging informatics leaders who need to standardize DICOM data before scaling AI.
Buyers who want a diagnostic AI that reads scans.
ASX-listed under ticker ENL since December 2023 — rare in healthcare AI to actually get audited financials.
“Public on the ASX, custom enterprise pricing only, no published tiers. Procurement gets real financials but no sticker to anchor against.”
Listed on the ASX under ticker ENL since December 2023. Procurement gets audited filings — rare in healthcare AI. About $55M raised across six rounds. An AU$22.5M raise in 2024 funded the $5M Laitek acquisition. Real numbers, public counterparty.
No published pricing on ENDEX or Migratek. Enterprise paper, contact-only. The Bayer distribution deal targets up to 200 radiology sites globally — that's the scale to anchor against. Compare Sectra in PACS-adjacent data tooling. Same sales-gated motion, same procurement friction.
An ROI Calculator sits on the website. But the catch is the savings model leans on cleanup volume per archive, which nobody publishes. No per-study rate. No overage band. Multi-year contracts likely, given M&A migration cycles. Budget the integration like a PACS install.
ASX-listed under ENL since December 2023 means audited filings and a real legal counterparty for procurement.
Enterprise paper only; M&A migration cycles imply multi-year terms with no public termination clause.
Zero published pricing on ENDEX or Migratek; every tier is contact-only.
ROI Calculator exists on the site, but the underlying cleanup-volume inputs are not published.
No per-study rate, no overage band, no implementation cost disclosed for a PACS-adjacent install.
Health systems who need DICOM data standardized before AI deployment.
Buyers who require published per-study pricing upfront.
ENDEX cleans the DICOM headers your PACS lied about, but every install routes through sales.
“ENDEX fixes the study descriptions and hanging protocol mismatches that wreck a radiologist's reading day. The catch is no public docs, no sandbox, and a sales-led rollout that lands as a real IT project.”
Inconsistent study descriptions are the daily fight in any modality-heavy archive. ENDEX uses computer vision plus NLP on pixel data, not just header strings, to normalize what CT and MR techs typed differently across ten sites. Laurel Bridge Compass routes DICOM cleanly but trusts the metadata it's handed; ENDEX rewrites it. That matters when a hanging protocol fires on "MRI BRAIN W WO" but not "MR Brain w/wo".
Migratek and the $5M Laitek acquisition in 2022 gave Enlitic real archive-scale DICOM migration, not a script you babysit over a weekend. ENCOG handles PHI scrub for research datasets. Hanging Protocol Issue Resolution is what a reading-room lead actually cares about.
But the public site has no docs, no changelog, no API reference — just a Book a Demo button. Founded 2014, post-pivot from diagnostic AI to data infrastructure. Every deployment is a sales-led IT project, not a Tuesday-afternoon sandbox.
ENDEX directly attacks the inconsistent study descriptions that break hanging protocols in daily reading.
Public site has no docs, no API reference, no changelog — just marketing pages and a demo button.
No sandbox or self-serve install means every evaluation routes through sales and IT scheduling.
Eleven shipping capabilities span standardization, anonymization, migration, and hanging protocols.
Sits upstream of PACS via DICOM routing rather than asking radiologists to change their reading workflow.
Health systems consolidating multi-site DICOM archives with messy metadata.
Small imaging centers wanting a self-serve tool they can install themselves.
Data plumbing for radiology — boring on purpose, worth a contact form if your DICOM is a mess
“Founded 2014, raised about $55M from Amplify Partners and Marubeni, then bought Laitek for $5M in October 2024 to cover the migration side. ENDEX is the actual product, and there is no demo without a sales call.”
Enlitic's homepage doesn't show a radiologist. It shows a workflow diagram and the words Data Migration for M&A. That tells you who picks up the phone — an imaging informatics director, not a doc reading scans.
ENDEX is the actual product. Computer vision and NLP that fix mislabeled study descriptions across whatever PACS mess you inherited. The GE HealthCare Genesis Cloud collaboration from 2022 is the credibility flag; the $5M Laitek pickup in October 2024 added the migration plumbing Enlitic was missing. Aidoc sells algorithms that read scans. Enlitic sells the boring step before — getting the DICOM metadata honest enough that downstream AI doesn't choke.
But there's nothing to evaluate without a sales call. No pricing, no trial, no public docs, no app — an ROI Calculator and a Book a Demo button are the front door. Day three for a buyer is an MSA, not a sandbox.
Corporate marketing site with workflow diagrams and an ROI Calculator — competent, not delightful, but the buyer is not looking for delight.
Once deployed by IT, ENDEX is automation that runs in the background; the learning curve sits with informatics teams configuring it, not daily users.
Pure backend infrastructure for hospital IT teams — mobile parity is moot since there is no end-user app to mirror.
There is no self-serve onboarding — the front door is a Book a Demo button and a 1-877-ENLITIC phone number.
Decade-old vendor, GE HealthCare Genesis Cloud partnership, and a Laitek acquisition adding 40-plus years of imaging IT expertise signal a real enterprise stack.
Imaging informatics directors who need to standardize messy DICOM data across multiple PACS.
Solo radiologists who want a tool they can try this week.
Eleven years and $55M raised got Enlitic from radiology AI hype to a DICOM infrastructure niche.
“Founder Jeremy Howard exited by 2016, and the company spent a decade pivoting away from diagnostic AI into DICOM data hygiene under ENDEX. The October 2024 Laitek acquisition adds migration services, but $55M total raised over eleven years tells you this is a slow-build niche, not a hot category.”
Founder Jeremy Howard left by 2016. Eleven years in, total raised is around $55M — that's not a hot-money AI trajectory, that's a slow-build infrastructure play.
What survived the long grind is real. ENDEX uses computer vision and NLP to normalize DICOM metadata hospitals have mangled for decades. October 2024's Laitek acquisition (AU$22.5M raise) added the migration muscle — moving imaging archives during M&A without melting workflows. Niche work, but somebody has to do it.
Life Image got absorbed quietly in 2022. Ambra Health sold to Intelerad. Imaging-data interop is a graveyard category — every PACS vendor builds something adjacent. ASX-listed via Capitol Health, no public pricing. Decent bet for a buyer who needs DICOM hygiene now, but the standalone story stays risky.
Data-hygiene niche is defensible today but PACS vendors and hyperscalers can replicate normalization in-house.
DICOM is an open standard; data leaves clean even if custom routing integrations need rework.
Modest $55M total raised plus 2024 Laitek deal funded by a small AU$22.5M raise — durable but not flush.
Public pivot from diagnostic AI to data standardization is candid, though sales-led pricing hides cost.
Eleven years operating, ASX-listed, named GE HealthCare collaboration — survival signal where peers vanished.
Health systems who need DICOM metadata cleaned before AI projects start.
Buyers who want diagnostic-AI algorithms rather than imaging data infrastructure.
Common questions answered by our AI research team
Enlitic's AI platform cleans, standardizes, and routes medical imaging data (DICOM), helping radiology departments improve data quality and interoperability across imaging workflows.
Yes, Enlitic's platform is built specifically around DICOM data, providing AI-driven tools to clean, standardize, and route medical imaging files.
Radiology departments and health systems are the primary users, with the platform designed for healthcare institutions broadly seeking to improve imaging data quality and interoperability.
You can book a demo directly through Enlitic's website via the 'Book a Demo' link, or contact them at 1-877-ENLITIC (1-877-365-4842) or info@enlitic.com.
Yes, Enlitic offers an ROI Calculator accessible directly from their website's quick links menu.
Enlitic is a San Francisco-based healthcare AI company that uses deep learning to standardize and analyze medical imaging data across radiology departments.
