Moonlight AI
Moonlight AI is a Swiss AI diagnostics startup that uses computer vision and deep learning on whole slide images of hematology and cytology smears to detect genomic biomarkers, serving diagnostic laboratories, hematologists, and pathologists with plans for Software as a Medical Device products across MDS, NSCLC and CLL.
- Company typePrivate
- Founded2022
- HeadquartersBasel, Switzerland
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Moonlight AI does
Moonlight AI is a Swiss AI diagnostics company, founded in 2022 and headquartered at the Switzerland Innovation Park Basel Area - Jura in Courroux, with operational offices in Basel (engineering, ML, technical program management) and Tunis (clinical operations, data management, engineering). The company builds a computer-vision and deep-learning platform that analyzes whole slide images of hematology and cytology smears to detect genomic biomarkers and complex disease signatures directly from routine imaging, intended to triage and complement conventional molecular testing such as NGS in diagnostic laboratory workflows. Its product surface currently centers on a myelodysplastic syndrome (MDS) detection capability from peripheral blood, published in Annals of Hematology in June 2025, with planned extension to non-small cell lung cancer (NSCLC) and chronic lymphocytic leukemia (CLL). The platform is designed to integrate with diagnostic lab imaging hardware and Laboratory Information Systems via HL7/FHIR/DICOM and is being engineered for on-premises, cloud, or OEM-embedded deployment aligned with ISO 27001, HIPAA, GDPR and FDA/IVDR/CE regulatory requirements.
Moonlight AI is pre-revenue and pre-commercialization. Its economic model is planned Software as a Medical Device (SaMD) licensing integrated into lab imaging hardware and connected to LIS, with go-to-market executed through direct enterprise sales to diagnostic labs and hospitals plus an international clinical consortium that co-develops and validates the platform in real-world settings; no pricing or contract terms are publicly disclosed. The company serves three primary segments: diagnostic laboratories (the B2B buyer), and the user personas of hematologists and pathologists who consume the diagnostic insight. Four founding clinical partners — University of Basel, Universitätsspital Basel, Universitätsspital Zürich and Charité Universitätsmedizin Berlin — support the initial MDS validation, and a Tunis-based Clinical Study Manager is building additional partnerships across MENA and Europe. On May 6, 2026, the company closed a $3.3M USD seed round co-led by Lotus One Investment (Singapore), VP Venture Partners (Switzerland) and MEDIN Fund (Tunisia), with N&V Capital and existing investor QAI Ventures participating, and simultaneously reincorporated from a Swiss GmbH to a Swiss Stock Corporation (Aktiengesellschaft) to position for international commercialization.
Moonlight AI firmographics
Firmographics- Name
- Moonlight AI
- Legal name
- Moonlight AI AG
- Website
- https://moonlight-ai.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Moonlight AI is a Swiss AI diagnostics startup that uses computer vision and deep learning on whole slide images of hematology and cytology smears to detect genomic biomarkers, serving diagnostic laboratories, hematologists, and pathologists with plans for Software as a Medical Device products across MDS, NSCLC and CLL.
- Ownership category
- akta.pro rank
Moonlight AI industry classification
Industry- Product category
- AI Diagnostics Software
- NAICS
- Other Computer Related Services (541519), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Software as a Medical Device (SaMD) – Clinical Decision & Diagnostic Software (HLACANAD)
- akta.pro secondary industries
- SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG), Medical Imaging AI (HDAAAEAH), AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG)
Keywords
Where Moonlight AI is headquartered
LocationHeadquarters
- HQ city
- Basel
- HQ country
- Switzerland
- HQ region
- Europe
Offices3 records
Markets served
Moonlight AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Pre-commercialization software diagnostics (planned): Company is pre-revenue and pre-commercialization. Seed funding is being used to expand the proprietary data library, team growth, and pursue regulatory approval (FDA, IVDR, CE marking) for AI-powered diagnostic software in MDS, non-small cell lung cancer, and chronic lymphocytic leukemia. Future revenue is expected from a Software as a Medical Device (SaMD) model integrated into diagnostic lab imaging hardware, but no pricing or licensing model is publicly disclosed.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Quote-based / Not publicly disclosed (pre-commercialization) |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels6 records
Moonlight AI product offering
Product offeringCore offering
Moonlight AI develops AI-powered diagnostic software that uses computer vision to detect genomic biomarkers and complex disease signatures directly from routine whole slide images of blood, bone marrow, and other cytology smears. The software integrates with diagnostic lab imaging hardware and Laboratory Information Systems to complement and triage conventional molecular testing, delivering faster turnaround times and more automated workflows for hematology and cytopathology. Validated diagnostic applications include sub-2-minute detection of myelodysplastic syndrome from peripheral blood, with ongoing extension to non-small cell lung cancer and chronic lymphocytic leukemia.
Product overview
Moonlight AI offers a single unified AI diagnostics platform — the Moonlight AI Diagnostics Platform — that converts routine microscopic imaging of hematology and cytology smears into genomic insights for hematologists and pathologists. The platform is built on a foundation of multimodal data that pairs whole slide images with genomic results, and is powered by a proprietary Moonlight AI Proprietary Cytopathology Data Library linking whole slide imaging of cytopathology samples with high-quality genomic data. On top of this core platform, validated diagnostic applications such as the MDS Detection from Peripheral Blood (AI Model) demonstrate specific clinical use cases (e.g., detecting myelodysplastic syndrome from neutrophil morphology in peripheral blood in under 2 minutes), with ongoing extension to non-small cell lung cancer and chronic lymphocytic leukemia. The platform integrates with diagnostic lab imaging hardware and Laboratory Information Systems (LIS) via HL7/FHIR to complement and triage conventional molecular testing workflows.
Differentiator
Problem solved
Functional benefit
Products and services
- Moonlight AI Diagnostics Platform AI-powered diagnostics software that uses computer vision to detect genomic biomarkers and complex disease signatures directly from routine imaging of blood, bone marrow, and other cytology smears. The platform integrates with diagnostic lab imaging hardware and Laboratory Information Systems to complement and triage conventional molecular testing such as NGS, providing faster turnaround times and more automated workflows for diagnostic laboratories, hematologists, and pathologists. It is being developed as Software as a Medical Device (SaMD) for indications including myelodysplastic syndrome (MDS), non-small cell lung cancer, and chronic lymphocytic leukemia (CLL).
- MDS Detection from Peripheral Blood (AI Model) AI-based diagnostic application that detects myelodysplastic syndrome (MDS) from neutrophil morphology in peripheral blood smears, providing a non-invasive first-line diagnostic result in under 2 minutes. It identifies sub-cellular dysplastic features too subtle for human observers, eliminating or reducing the need for invasive bone marrow biopsies in many cases and enabling faster access to genomic-guided treatment decisions for hematologists.
Quantifiable outcome
- Diagnostic results in under 2 minutes vs. 4-5 weeks for traditional MDS testing (bone marrow biopsy + genomic testing)
- +2 more outcomes
Companies that use Moonlight AI
Customer profileSegments4 records
Ideal customer profiles4 records
Moonlight AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability6 records
Feature4 records
Moonlight AI partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core (founding clinical research partner) and minor (ecosystem support).
- University of Baselcore (founding clinical research partner)Academic clinical research partner that co-authored Moonlight AI's peer-reviewed Annals of Hematology publication on detecting MDS from peripheral blood. Founder Christian Ruiz is also a Professor at the University of Basel Medical Faculty.
- Universitätsspital Baselcore (founding clinical research partner)University hospital that co-developed and validated Moonlight AI's peripheral blood MDS detection model as part of the initial four-partner consortium.
- Universitätsspital Zürichcore (founding clinical research partner)University hospital that co-developed and validated Moonlight AI's peripheral blood MDS detection model as part of the initial four-partner consortium.
- Charité Universitätsmedizin Berlincore (founding clinical research partner)Berlin university hospital where CMO Dr. Stefan Habringer leads his own research group; co-developed and validated Moonlight AI's peripheral blood MDS detection model as part of the initial consortium.
- DayOneminor (ecosystem support)Swiss digital health innovation hub listed under 'Supported by' on the Moonlight AI website, providing regional ecosystem support.
- VentureKickminor (ecosystem support)Swiss startup funding program listed under 'Supported by' on the Moonlight AI website, indicating prior non-dilutive or ecosystem support.
- Basel Areaminor (ecosystem support)Regional business promotion agency for the Basel area listed under 'Supported by' on the Moonlight AI website, providing regional ecosystem support.
- Jura Promotion Economiqueminor (ecosystem support)Jura canton economic development agency listed under 'Supported by' on the Moonlight AI website; Moonlight's HQ at Switzerland Innovation Park Basel Area - Jura is located in Courroux, Canton of Jura.
- University of Basel Startupminor (ecosystem support)University of Basel's startup support initiative listed under 'Supported by' on the Moonlight AI website, providing academic entrepreneurship support.
Scale indicators8 records
Recent moves6 records
Expansion highlights7 records
Moonlight AI competitors and assessment
Company assessmentDirect peers
- Owkin: AI biotech using multimodal patient data (including imaging and molecular) to develop diagnostic and therapeutic decision-support tools, with a strong presence in Europe. Comparable in combining imaging-derived AI with molecular insight for oncology decision support.
- Aignostics: Berlin-based AI pathology company spun out of Charit\u00e9, building foundation models for pathology image analysis and partnering with pharma and diagnostic labs. Comparable European AI-pathology peer with similar academic origins and lab-embedded go-to-market.
- Ibex Medical Analytics: Israel-based AI pathology company with multiple CE-marked and deployed products for cancer detection in routine pathology workflows. Closest pure-play peer to Moonlight's lab-embedded, image-based SaMD model for oncology diagnostics.
- Paige AI: AI-driven digital pathology platform with FDA-cleared products for prostate and breast cancer. Directly comparable to Moonlight AI as both build deep learning models that derive molecular / diagnostic insight from whole slide images and pursue SaMD clearance in oncology.
- PathAI: AI pathology company developing deep learning models on whole slide images for diagnostic and biomarker applications across oncology. Highly comparable business model: AI + pathology + clinical partnerships + pharma services, also pre-commercial / clinical-stage.
- Proscia: Digital pathology software platform with AI applications for cancer diagnosis and biomarker detection, integrating with lab imaging hardware and LIS environments. Comparable as an enterprise pathology software company with embedded AI diagnostics.
Broad incumbents
- Tempus Labs: Large US AI-driven precision medicine company combining molecular profiling, imaging and clinical data for oncology decision support. Comparable end goal (imaging + genomics for cancer) but much broader portfolio and substantially more capital than Moonlight AI.
- DeepHealth (RadNet): Subsidiary of RadNet applying AI to medical imaging and diagnostics, with FDA-cleared products and broad imaging footprint. Comparable as an AI imaging diagnostics platform, though focused on radiology rather than pathology/hematology.
- Lunit: South Korea-based AI medical imaging company with cleared products for chest X-ray, mammography and pathology biomarker prediction (e.g., Lunit SCOPE). Comparable in applying deep learning to histology/biomarker prediction, though broader in scope and modality coverage.
Emerging players
- Stratipath: Stockholm-based AI precision diagnostics company focused on AI-based prognostic and predictive biomarker profiling from routine histopathology images. Comparable as a European SaMD peer using image-only AI to derive molecular-grade insight for oncology treatment decisions.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Moonlight AI social profiles
Digital presenceMoonlight AI compliance and trust
Trust signalCompliance5 records
Moonlight AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Moonlight AI leadership team
Management profileNumber of profiles
Profiles4 records
Moonlight AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Moonlight AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Moonlight AI
What does Moonlight AI do?
Moonlight AI develops AI-powered diagnostic software that uses computer vision to detect genomic biomarkers and complex disease signatures directly from routine whole slide images of blood, bone marrow, and other cytology smears. The software integrates with diagnostic lab imaging hardware and Laboratory Information Systems to complement and triage conventional molecular testing, delivering faster turnaround times and more automated workflows for hematology and cytopathology. Validated diagnostic applications include sub-2-minute detection of myelodysplastic syndrome from peripheral blood, with ongoing extension to non-small cell lung cancer and chronic lymphocytic leukemia.
Is Moonlight AI a public or private company?
Moonlight AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Moonlight AI founded?
Moonlight AI was founded in 2022. It employs 1 to 10 people.
Where is Moonlight AI based?
Moonlight AI is headquartered in Basel, Switzerland, in the Europe region.
How does Moonlight AI make money?
One revenue line is on record: pre-commercialization software diagnostics (planned).
Who are Moonlight AI's main competitors?
Direct peers on record are Owkin, Aignostics, Ibex Medical Analytics, Paige AI, PathAI and Proscia. Broad incumbents are Tempus Labs, DeepHealth (RadNet) and Lunit. Stratipath is listed as an emerging player.
Does Moonlight AI have an API?
Yes. The company is building backend services and APIs supporting clinical workflows and platform functionality, including integrations with Laboratory Information Systems (LIS) using HL7 / FHIR healthcare interoperability standards. The platform is designed to expose APIs for clinical partners and lab integrations. No public developer portal, documentation, SDK, or MCP server was identified.
What industry is Moonlight AI in?
Moonlight AI's product category is AI Diagnostics Software. Its primary akta.pro industry code is HLACANAD, Software as a Medical Device (SaMD) – Clinical Decision & Diagnostic Software, with a secondary code of HLACANAG, SaMD – Imaging & Signal Analysis (AI/ML). Its NAICS code is 541519 and its SIC code is 7372.