Where is 3DHistech located?

3DHistech is headquartered in Budapest, Hungary.

How many employees does 3DHistech have?

As of Jul 01, 2024, the latest employee count at 3DHistech is 136.

Is 3DHistech a funded company?

3DHistech is a funded company, having raised a total of $***** in its 1st and only funding round.

Where does 3DHistech rank among its competitors?

3DHistech ranks 15th amongst 20 active competitors, of which 6 are funded. It stands 11th in terms of total funding among its competitors. The most recent competitor to raise funding was Morphle, which secured $5M in Nov, 2025.

Who are the top competitors of 3DHistech?

3DHistech's top competitors include Morphle, Akoya Biosciences and Scopio Labs. Among them, Morphle secured the most recent funding round in November, 2025.

3DHistech - 2026 Company Profile, Team & Competitors

Company Details

3DHistech provides solutions to digitize the pathology workflow. It provides software solutions that enable automated quantitative analysis of pathology slides using different modalities, including immunohistochemistry and ISH. In addition, the company also manufactures associated instruments such as whole slide scanners and tissue microarrays.

Website: www.3dhistech.com/
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Email ID: *****@3dhistech.com

Key Metrics

Founded Year

1996

Location

Budapest, Hungary

Stage

Unfunded

Ranked

15^th among 20 active competitors

Employee Count

136 as on Jul 01, 2024

Similar Companies

Morphle & 18 more

View 3DHistech's full profile

3DHistech has not raised any funding rounds yet.

3DHistech's employee count trend

3DHistech has 136 employees as of Jul 24. Here is 3DHistech's employee count trend over the years:

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Top competitors of 3DHistech include Morphle, Akoya Biosciences and Scopio Labs. Here is the list of Top 10 competitors of 3DHistech, ranked by Tracxn score:

Rank	Company Details	Short Description	Total Funding	Investors	Tracxn Score
1st	Morphle 2017, Bengaluru (India), Series A	Provider of robotic microtomes and digital pathology scanners. These devices automate tissue processing and slide scanning for anatomical pathology, dermatopathology, and hematology. The scanners offer high-resolution imaging and integrated workflows, facilitating efficient digital microscopy and telepathology applications. Various models cater to different throughput needs, from single-slide to high-volume batch processing. The company also offers AI-powered requisition data entry solutions.	$5.15M	Inflexor, Y Combinator & 4 others	60/100
2nd	Akoya Biosciences 2015, San Francisco (United States), Acquired	Provider of solutions for rapid proteomic profiling	$83.5M	Piper Jaffray, HTIF & 4 others	60/100
3rd	Scopio Labs 2014, Tel Aviv (Israel), Series D	Developer of digital imaging platforms for hematology	$125M	OurCrowd, OTV & 15 others	58/100
4th	Grundium 2015, Tampere (Finland), Acquired	Provides portable scanning microscope for medical researcher	$2.37M	Ascend Capital Partners, EIC Fund & 1 others	42/100
5th	PreciPoint 2018, Freising (Germany), Series A	Developer of digital microscopes and micro-positioning systems	$10.2M	Neue Fund, Harmonix & 11 others	41/100
6th	Optra SCAN 2012, Sunnyvale (United States), Series B	Digital pathology solutions for smarter, faster diagnostics and improved patient outcomes	$30M	Molbio Diagnostics, Optra Ventures	39/100
7th	Livo 2018, Hyderabad (India), Seed	Manufacturer of next-generation pathology laboratory equipment	$746K	Hyderabad Angels & 6 others	33/100
8th	Motic Digital Pathology 2019, United States, Unfunded	Digital pathology solutions for accessible, collaborative, and efficient healthcare	-	-	27/100
9th	Bionovation Biotech 2017, San Diego (United States), Unfunded	Provider of a digital microscopy image repository for research and AI. This platform offers a categorized collection of digitized microscopy specimens for educational purposes, quality control, AI data annotation, and AI model validation. The data is anonymized to comply with privacy regulations and is explicitly stated not to constitute human genetic resources under relevant Chinese law. The platform also provides deep learning tools for users to develop AI models using the images, with the platform retaining a specified share of the resulting copyright. Copyright of the original images remains with the providers.	-	-	26/100
10th	Motic 1988, Spain, Unfunded	Provider of software for pathology image analysis	-	-	24/100
15th	3DHistech 1996, Budapest (Hungary), Unfunded	Provides solutions to digitize the pathology workflow.	-	-	22/100