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Teal Medical

Full company profile

uuid002c7jf

Namestring
Teal Medical
Legal namestring
Teal Medical
Websiteurl
tealmedical.io
Company typeenum
Private
Founded yearint
2016
Descriptiontext

Teal Medical is a Danish healthcare software company that develops and sells the Teal Engine, an automated platform for exporting medical images from PACS (Picture Archiving and Communication Systems). The product executes a three-step workflow — finding studies within a PACS, de-identifying patient data in compliance with DICOM Standard Part 15 Section E (including pseudo-anonymization and burned-in text removal), and exporting to local disk, SFTP, or a DICOM node — and claims a 100-1000x speed advantage over manual workflows. The engine maintains awareness of all 4,000+ tags in the DICOM standard and supports export from any DICOM-compliant vendor globally.

The company targets three primary customer segments: health-tech platform providers seeking to streamline customer onboarding and remove dataset bottlenecks; medical researchers needing large, de-identified imaging datasets for AI and clinical research; and hospitals that require auditable, compliant data-sharing infrastructure. Notable customers and endorsers include Rigshospitalet (Denmark's flagship hospital, via CIO Henning Langberg), Bispebjberg Frederiksberg Hospital (via Professor Mikael Boesen), and RegionH, along with partners DHD, CHC, Innovationsfonden, and Accelrace. Partnerships with these institutions suggest a co-development and validation model rather than pure vendor-buyer relationships.

Teal Medical is privately held and founder-led, with Kasper Marstal (CEO) and Sigurd Carlsen (Software Engineer) as named founders and Zacharias Knudsen as a team member. Revenue is generated through a quote-based SaaS/subscription model with monthly billing cadence, engaged via direct website contact forms with a stated two-workday response commitment. The company is headquartered in Copenhagen, Denmark, operates on a global DICOM-compatible basis, and has received support from the Danish Innovation Fund (Innovationsfonden), indicating public-sector R&D backing. No venture funding rounds, revenue figures, headcount data, or M&A activity are publicly disclosed.

Short descriptiontext

Teal Medical develops the Teal Engine, a DICOM-compliant platform that automates the export and de-identification of medical images from PACS systems. It serves hospitals, medical researchers, and health-tech platform providers, primarily in Denmark with global DICOM vendor support.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersCopenhagen, Denmark
HQ citystring
Copenhagen
HQ countrystring
Denmark
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
medical image export, DICOM de-identification, PACS data extraction, radiology AI datasets, healthcare imaging software
Industry2 codes
1Quality, Peer Review & Compliance Tools (MQSA/ACR/QA)
CodeHLACALALPrimaryYes
2SaMD – Imaging & Signal Analysis (AI/ML)
CodeHLACANAGPrimaryNo
NAICS code1 code
  • Software Publishers5132
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Medical Imaging Software
No data
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Teal Engine Software
TypeSubscription Recurring
Description

SaaS-based medical image export tool sold to healthcare institutions, research organizations, and health tech companies. Revenue appears to be generated through software licensing/subscription model based on product-led engagement.

tealmedical.io
Marketing channels2 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Pricing details1 tier
1Quote-based pricing
ModelOtherBilling cadenceMonthly
Notes

Pricing not publicly disclosed; interested customers submit inquiries via website contact form with promise of response within 2 workdays

tealmedical.io
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1Teal Engine
Description

A fast data export tool that automates the export of medical images from PACS, including finding, de-identifying, and exporting DICOM files.

tealmedical.io
Core offering1 text field

Teal Medical develops and sells the Teal Engine, a SaaS software platform that automates the finding, DICOM-compliant de-identification, and exporting of medical images from PACS systems. It is targeted at healthcare institutions, medical researchers, and health technology platform providers who need to move large datasets of radiology images out of PACS while preserving patient privacy. The product claims to operate 100-1000x faster than manual workflows and supports all DICOM-compliant vendors globally.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • 100-1000x faster data export compared to standard manual workflow
+1 more record
Product overview1 text field

Teal Medical offers a single unified product called the Teal Engine, which is a medical image data export platform. The product consists of a three-step process (Find, De-identify, Export) that enables researchers, companies, and hospitals to automatically find, de-identify, and export medical images from PACS systems. The Teal Engine handles DICOM-compliant de-identification across 4000+ DICOM tags and removes text burned into pixel data, exporting to local storage, SFTP, or DICOM nodes.

Product and service1 record
1Teal Engine
Scale indicator2 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Bispebjerg Frederiksberg Hospital is featured as a customer and partner. Professor Mikael Boesen from the hospital provides an endorsement quote about the Teal Engine changing the radiology landscape, indicating a close collaborative relationship in product development and testing.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Chief Innovation Officer Henning Langberg from Rigshospitalet provides an endorsement, specifically highlighting Teal Medical's ability to overcome data access barriers for public-private partnerships, suggesting active collaboration in healthcare innovation.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight4 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Aggregates and de-identifies real-world DICOM imaging data for AI training; competes head-to-head with Teal Engine on the pipeline from hospital PACS to compliant research-ready datasets.

TypeDirect peer
Description

Cloud-based medical image exchange and de-identification for hospitals and research networks; directly overlaps on DICOM export and compliant sharing workflows.

TypeDirect peer
Description

Medical imaging data management and analysis platform for research and AI; directly comparable as it targets DICOM dataset curation, de-identification, and research workflows from hospital PACS systems.

TypeDirect peer
Description

Radiology imaging software with workflows spanning PACS integration and clinical/research imaging; comparable DICOM expertise and healthcare-image focus.

TypeEmerging player
Description

Cloud-native medical imaging AI platform with focus on data pipeline and de-identification for clinical and research imaging — partial overlap with Teal Engine's data export/curation role.

TypeBroad incumbent
Description

Major PACS/imaging IT incumbent with deep DICOM tooling; overlapping export, de-identification, and research-data-sharing capabilities within its broader imaging IT stack.

TypeEmerging player
Description

Imaging informatics platform sitting on top of PACS/RIS; an emerging player in radiology data extraction and structured imaging analytics for downstream use.

TypeBroad incumbent
Description

Broad incumbent in healthcare imaging and PACS; offers overlapping DICOM export and de-identification as part of a wider enterprise imaging portfolio — a bundling threat.

TypeBroad incumbent
Description

PACS and enterprise imaging incumbent; comparable DICOM and AI-data capabilities, often bundled with the modality/equipment sale, which raises competitive risk.

TypeBroad incumbent
Description

Radiology reporting and workflow suite; comparable DICOM-aware radiology IT footprint with export and integration capabilities across hospital systems.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers2 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Teal Medical

Medical Imaging Softwaretealmedical.io

Teal Medical develops the Teal Engine, a DICOM-compliant platform that automates the export and de-identification of medical images from PACS systems. It serves hospitals, medical researchers, and health-tech platform providers, primarily in Denmark with global DICOM vendor support.

What Teal Medical does

Teal Medical is a Danish healthcare software company that develops and sells the Teal Engine, an automated platform for exporting medical images from PACS (Picture Archiving and Communication Systems). The product executes a three-step workflow — finding studies within a PACS, de-identifying patient data in compliance with DICOM Standard Part 15 Section E (including pseudo-anonymization and burned-in text removal), and exporting to local disk, SFTP, or a DICOM node — and claims a 100-1000x speed advantage over manual workflows. The engine maintains awareness of all 4,000+ tags in the DICOM standard and supports export from any DICOM-compliant vendor globally.

The company targets three primary customer segments: health-tech platform providers seeking to streamline customer onboarding and remove dataset bottlenecks; medical researchers needing large, de-identified imaging datasets for AI and clinical research; and hospitals that require auditable, compliant data-sharing infrastructure. Notable customers and endorsers include Rigshospitalet (Denmark's flagship hospital, via CIO Henning Langberg), Bispebjberg Frederiksberg Hospital (via Professor Mikael Boesen), and RegionH, along with partners DHD, CHC, Innovationsfonden, and Accelrace. Partnerships with these institutions suggest a co-development and validation model rather than pure vendor-buyer relationships.

Teal Medical is privately held and founder-led, with Kasper Marstal (CEO) and Sigurd Carlsen (Software Engineer) as named founders and Zacharias Knudsen as a team member. Revenue is generated through a quote-based SaaS/subscription model with monthly billing cadence, engaged via direct website contact forms with a stated two-workday response commitment. The company is headquartered in Copenhagen, Denmark, operates on a global DICOM-compatible basis, and has received support from the Danish Innovation Fund (Innovationsfonden), indicating public-sector R&D backing. No venture funding rounds, revenue figures, headcount data, or M&A activity are publicly disclosed.

Teal Medical firmographics

Firmographics
Name
Teal Medical
Legal name
Teal Medical
Website
https://tealmedical.io
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
1–10 employees
Short description
Teal Medical develops the Teal Engine, a DICOM-compliant platform that automates the export and de-identification of medical images from PACS systems. It serves hospitals, medical researchers, and health-tech platform providers, primarily in Denmark with global DICOM vendor support.
Ownership category
akta.pro rank

Teal Medical industry classification

Industry
Product category
Medical Imaging Software
NAICS
Software Publishers (5132)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
Quality, Peer Review & Compliance Tools (MQSA/ACR/QA) (HLACALAL)
akta.pro secondary industry
SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG)

Keywords

  • Medical image export
  • DICOM de-identification
  • PACS data extraction
  • Radiology AI datasets
  • Healthcare imaging software

Where Teal Medical is headquartered

Location

Headquarters

HQ city
Copenhagen
HQ country
Denmark
HQ region
Europe

Offices1 record

Markets served

Teal Medical business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

  1. Teal Engine Software: SaaS-based medical image export tool sold to healthcare institutions, research organizations, and health tech companies. Revenue appears to be generated through software licensing/subscription model based on product-led engagement.

Pricing tiers

ModelBillingPrice
OtherMonthlyQuote-based pricing

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

Teal Medical product offering

Product offering

Core offering

Teal Medical develops and sells the Teal Engine, a SaaS software platform that automates the finding, DICOM-compliant de-identification, and exporting of medical images from PACS systems. It is targeted at healthcare institutions, medical researchers, and health technology platform providers who need to move large datasets of radiology images out of PACS while preserving patient privacy. The product claims to operate 100-1000x faster than manual workflows and supports all DICOM-compliant vendors globally.

Product overview

Teal Medical offers a single unified product called the Teal Engine, which is a medical image data export platform. The product consists of a three-step process (Find, De-identify, Export) that enables researchers, companies, and hospitals to automatically find, de-identify, and export medical images from PACS systems. The Teal Engine handles DICOM-compliant de-identification across 4000+ DICOM tags and removes text burned into pixel data, exporting to local storage, SFTP, or DICOM nodes.

Differentiator

Problem solved

Functional benefit

Brands

  • Teal Engine: A fast data export tool that automates the export of medical images from PACS, including finding, de-identifying, and exporting DICOM files.

Products and services

  • Teal Engine

Quantifiable outcome

  • 100-1000x faster data export compared to standard manual workflow
  • +1 more outcomes

Companies that use Teal Medical

Customer profile

Named customers2 records

Segments3 records

Ideal customer profiles3 records

Teal Medical technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Feature6 records

Teal Medical partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered core.

  • Bispebjerg Frederiksberg HospitalcoreStrategic or Co-development PartnerBispebjerg Frederiksberg Hospital is featured as a customer and partner. Professor Mikael Boesen from the hospital provides an endorsement quote about the Teal Engine changing the radiology landscape, indicating a close collaborative relationship in product development and testing.
  • RigshospitaletcoreStrategic or Co-development PartnerChief Innovation Officer Henning Langberg from Rigshospitalet provides an endorsement, specifically highlighting Teal Medical's ability to overcome data access barriers for public-private partnerships, suggesting active collaboration in healthcare innovation.

Scale indicators2 records

Recent moves5 records

Expansion highlights4 records

Teal Medical competitors and assessment

Company assessment

Direct peers

  • Segmed: Aggregates and de-identifies real-world DICOM imaging data for AI training; competes head-to-head with Teal Engine on the pipeline from hospital PACS to compliant research-ready datasets.
  • Ambra Health: Cloud-based medical image exchange and de-identification for hospitals and research networks; directly overlaps on DICOM export and compliant sharing workflows.
  • Flywheel: Medical imaging data management and analysis platform for research and AI; directly comparable as it targets DICOM dataset curation, de-identification, and research workflows from hospital PACS systems.
  • MIM Software: Radiology imaging software with workflows spanning PACS integration and clinical/research imaging; comparable DICOM expertise and healthcare-image focus.

Emerging players

  • Arterys: Cloud-native medical imaging AI platform with focus on data pipeline and de-identification for clinical and research imaging — partial overlap with Teal Engine's data export/curation role.
  • HealthMyne: Imaging informatics platform sitting on top of PACS/RIS; an emerging player in radiology data extraction and structured imaging analytics for downstream use.

Broad incumbents

  • Siemens Healthineers (syngo / teamplay): Major PACS/imaging IT incumbent with deep DICOM tooling; overlapping export, de-identification, and research-data-sharing capabilities within its broader imaging IT stack.
  • Philips (IntelliSpace / Vue PACS): Broad incumbent in healthcare imaging and PACS; offers overlapping DICOM export and de-identification as part of a wider enterprise imaging portfolio — a bundling threat.
  • GE HealthCare (Edison / PACS): PACS and enterprise imaging incumbent; comparable DICOM and AI-data capabilities, often bundled with the modality/equipment sale, which raises competitive risk.
  • Nuance / Microsoft PowerScribe: Radiology reporting and workflow suite; comparable DICOM-aware radiology IT footprint with export and integration capabilities across hospital systems.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Teal Medical financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Teal Medical leadership team

Management profile

Number of profiles

Profiles3 records

Teal Medical funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Teal Medical M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Teal Medical

What does Teal Medical do?

Teal Medical develops and sells the Teal Engine, a SaaS software platform that automates the finding, DICOM-compliant de-identification, and exporting of medical images from PACS systems. It is targeted at healthcare institutions, medical researchers, and health technology platform providers who need to move large datasets of radiology images out of PACS while preserving patient privacy. The product claims to operate 100-1000x faster than manual workflows and supports all DICOM-compliant vendors globally.

Is Teal Medical a public or private company?

Teal Medical is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Teal Medical founded?

Teal Medical was founded in 2016. It employs 1 to 10 people.

Where is Teal Medical based?

Teal Medical is headquartered in Copenhagen, Denmark, in the Europe region.

How does Teal Medical make money?

One revenue line is on record: teal Engine Software.

Who are Teal Medical's main competitors?

Direct peers on record are Segmed, Ambra Health, Flywheel and MIM Software. Emerging players are Arterys and HealthMyne. Broad incumbents are Siemens Healthineers (syngo / teamplay), Philips (IntelliSpace / Vue PACS), GE HealthCare (Edison / PACS) and Nuance / Microsoft PowerScribe.

Does Teal Medical have an API?

No public API is recorded for Teal Medical.

What industry is Teal Medical in?

Teal Medical's product category is Medical Imaging Software. Its primary akta.pro industry code is HLACALAL, Quality, Peer Review & Compliance Tools (MQSA/ACR/QA), with a secondary code of HLACANAG, SaMD – Imaging & Signal Analysis (AI/ML). Its NAICS code is 5132 and its SIC code is 7372.

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