Latica

AI-based Data Collaboration Platform for the Healthcare Community

Health Tech & Life Sciences
Active
Series A Tel Aviv-Yafo Founded 2019
Total raised
$12.0M
Last: Series A 2025-08
Stage
Series A
Founded
2019
Headcount
30
HQ
Tel Aviv-Yafo
Sector
Health Tech & Life Sciences

About

Latica (formerly Lynx.MD) enables pharma, life sciences and AI companies to access sensitive data in a secure and privacy preserving way, unlocking massive amounts of real-world patient data.

Healthcare data is siloed, highly sensitive and mostly unstructured, which makes it difficult to make large volumes of quality real-world data accessible for pharma evidence generation, and development of new treatments and precision diagnosis. In addition, Al's impact on patient care is limited by the availability of diverse, quality data.

Latica developed a platform for secure data collaboration, a trusted AI environment where sensitive data can be analyzed. By partnering with healthcare provider organizations, Latica is able to augment their revenue streams through data licensing opportunities. Today, Latica has data from more than 400 million doctor visits on the platform from partnering institutions. With the initial focus on community practice-based data, Lynx is the leader in gastroenterology, ENT and allergies spaces, and is continuously expanding.

Funding history · 4 rounds · $12.0M total

2025-08
Series A Undisclosed
2024-09
SAFE Undisclosed
2021-12
Seed $12.0M
2019-09
Pre-Seed Undisclosed

Sectors & technology

Primary sector
Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision SupportClinical Workflow
Technologies
Data StorageCloudArtificial IntelligenceMachine Learning
Target customers
Healthcare & Life SciencesHealthcareInsurance CompaniesProvidersLife SciencesPharmaceuticals
Business model
B2B

Highlights

1 PatentsVerified

Tags

clinical-trialsmedical-datadigital-healthcarecloudprivacy-protectionhealthcare-providersbig-datamachine-learningpharma-companiesinsurance-companieshospitalsbig-data-analyticsemrdevelopersdata-protectionclinical-workflowartificial-intelligence