Spotlab
SpotLab is a Madrid-based clinical AI company building foundational AI models and the TeleSpot platform for medical diagnostics (hematology, parasitology, skin NTDs) and biopharma research, serving hospitals, global health NGOs, and pharmaceutical companies across 14+ countries.
- Company typePrivate
- Founded2018
- HeadquartersMadrid, Spain
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Spotlab does
SpotLab is a Madrid-based clinical AI company founded in 2018 as a spin-off of Universidad Politécnica de Madrid, developing AI models for medical diagnostics and biopharma research. Its core technology is the TeleSpot platform, a multi-modal digitalization and AI system combining cloud architecture with web and smartphone apps, proprietary foundational AI models for in-vitro image analysis (ViT transformer architectures), and LLMs/LMMs for clinical decision support. The product portfolio includes MedulAI for bone marrow cell classification (23 subtypes, trained on 500,000+ cells from 1,000+ patients), ParasitAI for parasite quantification (>90% accuracy across 11 parasites, 100,000+ training images), MultiplexAI for multiplex microscopy diagnosis, Florence as an LMM-based skin NTD copilot, plus supporting tools (Ada, TiraSpot, RetiSpot, HuggingSpot) and 3D-printed smartphone adapters enabling offline edge-AI deployment.
The company serves three primary customer segments: hospitals and healthcare providers (including Hospital 12 de Octubre, Hospital Vall d'Hebron, Hospital Clínico San Carlos), biopharma companies and research centers (including GSK and a top-10 global pharmaceutical company), and global health organizations and NGOs (including DNDi, FIND, ISGlobal, KEMRI, and ISCIII). Revenue is generated through custom AI model development services, platform licensing and API deployment, and certified IVD medical device software sales. Distribution is sales-led with direct enterprise engagement and API integration; pricing is not publicly disclosed.
SpotLab has achieved CE marking for IVD software and AEMPS certification for two products, with ISO-13485, IVDR, and GDPR compliance. The company operates across 14+ countries spanning Europe, Africa, Latin America, and Asia, with significant non-dilutive funding from the Bill & Melinda Gates Foundation, the European Union (H2020, EDCTP3, NextGenerationEU), CDTI, and Comunidad de Madrid. As a 20+ employee company operating in a deeptech niche, SpotLab combines academic research roots with a grant-funded, partnership-heavy growth model targeting both high-income hospital markets and resource-constrained global health settings.
Spotlab firmographics
Firmographics- Name
- Spotlab
- Legal name
- SPOTLAB, S.L.
- Website
- https://spotlab.ai
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- SpotLab is a Madrid-based clinical AI company building foundational AI models and the TeleSpot platform for medical diagnostics (hematology, parasitology, skin NTDs) and biopharma research, serving hospitals, global health NGOs, and pharmaceutical companies across 14+ countries.
- Ownership category
- akta.pro rank
Spotlab industry classification
Industry- Product category
- Medical Diagnostic AI Software
- NAICS
- Medical Laboratories (621511), Diagnostic Imaging Centers (621512)
- SIC
- Surgical & Medical Instruments & Apparatus (3841)
- akta.pro primary industry
- Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays) (HLAAALAO)
- akta.pro secondary industries
- Medical Imaging AI (HDAAAEAH), Remote Diagnostics & Point-of-Care (Connected Testing, Home Lab Devices) (HLACAPAK), Remote Diagnostics & Home Testing Devices (Connected POC/At-Home Diagnostic Readers) (HLAHACAL)
Keywords
Where Spotlab is headquartered
LocationHeadquarters
- HQ city
- Madrid
- HQ country
- Spain
- HQ region
- Europe
Offices1 record
Markets served
Spotlab business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- AI Services for Biopharma and Research Centers: Custom AI model development and validation services for biopharma companies and research centers. Includes predictive models for adverse events, diagnostic algorithms, and treatment response models developed in collaboration with pharmaceutical partners and hospitals.
- AI Platform Licensing and Deployment: Platform deployment options including cloud access, API integration, and edge-AI solutions. Revenue from licensing technology and providing end-to-end or modular AI solutions.
- Medical Device Software (IVD): AI-powered diagnostic software as medical devices. Two products certified by AEMPS (Spanish Agency for Medicines and Health Products) for clinical use.
Go-to-market motion2 records
Distribution channels4 records
Marketing channels7 records
Spotlab product offering
Product offeringCore offering
SpotLab develops AI diagnostic models and the TeleSpot platform for clinical research and medical diagnosis. Its product portfolio includes MedulAI (bone marrow cell analysis classifying 23 cellular subtypes), ParasitAI (parasite quantification across 11 parasites with >90% accuracy), MultiplexAI (multiplex disease detection from microscope slides via smartphone-connected 3D-printed adapters), and Florence (multimodal AI copilot for skin neglected tropical diseases). Solutions are deployed via cloud, API, and edge-AI on mobile devices for use in hospitals, research centers, and resource-constrained settings.
Product overview
SpotLab is an AI model factory for medical diagnostics and biopharma research, offering a unified platform architecture centered on the TeleSpot platform. TeleSpot provides the core infrastructure connecting cloud and edge AI with web/smartphone applications for clinical deployment. The product portfolio includes two flagship AI diagnostic products: MedulAI for bone marrow cell analysis in hematology (23 subtypes, 500K+ cells trained), and ParasitAI for parasite quantification in microscopy (11 parasites, 90%+ accuracy). MultiplexAI transforms any microscope into an AI copilot for multiplexed disease detection. Supporting products include Florence (multimodal AI assistant for skin NTDs), Ada (hematology AI assistant), TiraSpot (rapid test reader), RetiSpot (fundus imaging), HuggingSpot (model distribution app), and hardware adapters AdaptaSpot and MicraSpot. Services include custom AI development, predictive modeling, and professional training workshops.
Differentiator
Problem solved
Functional benefit
Brands
- MedulAI: AI model for supporting cell counting and analysis in bone marrow samples, capable of classifying among 23 cellular subtypes based on training dataset of +500,000 cells from +1000 patients.
- ParasitAI
- TeleSpot
- MultiplexAI
- Florence
- Ada
- HuggingSpot
- RetiSpot
- TiraSpot
Products and services
- TeleSpot Proprietary multi-modal digitalization and AI platform ecosystem to create and deploy AI models in clinical environments. Composed of cloud architecture connected with web and smartphone apps, smartphone-based digitalization devices, and proprietary foundational AI models for in-vitro image analysis.
- MedulAI AI model designed to support cell counting and analysis in bone marrow samples, classifying among 23 cellular subtypes based on training dataset of 500,000+ cells from 1,000+ patients. Automates differential cell counting for blood cancer diagnosis in hematology departments.
- ParasitAI Foundational AI model for rapid autonomous quantification of different parasites in microscope smears with >90% accuracy across 11 parasites including filarial species causing filariasis and Plasmodium species causing malaria. Trained on 100,000+ images.
- MultiplexAI AI mobile diagnostic copilot that transforms conventional microscopes into smart devices capable of detecting every disease visible on a microscopy slide. Works offline on smartphones connected via 3D-printed adapters; built as part of an Africa-Europe consortium.
- Florence Smartphone copilot based on Large Multimodal Models (LMMs) for diagnosis, management and follow-up of patients with suspected skin Neglected Tropical Diseases (NTDs) such as Buruli ulcer, leprosy, yaws and scabies. Developed in collaboration with WHO guidelines.
- Ada AI assistant integrated into case management platform to support hematologists with clinical decision-making and patient data analysis.
- TiraSpot Universal AI algorithm capable of interpreting any rapid test with up to three bands, sending results to a monitoring platform for epidemic surveillance.
- RetiSpot Portable, 3D-printed, smartphone-controlled retinograph connected to telemedicine web platform for screening fundus lesions, developed for ophthalmology diagnostics.
- HuggingSpot Mobile application available on Google Play Store enabling the scientific community to download and test SpotLab's AI models for microfilariae detection and filarial species differentiation.
- AI Services Custom AI model development and validation services for biopharma companies and research centers. Includes predictive models for adverse events, diagnostic algorithms, and treatment response models developed in collaboration with pharmaceutical partners and hospitals.
- AI Workshops and Challenges AI workshops and diagnostic competitions for professional training and scientific dissemination in healthcare and tropical medicine.
Quantifiable outcome
- >90% accuracy across 11 parasites
- +4 more outcomes
Companies that use Spotlab
Customer profileNamed customers10 records
Segments4 records
Ideal customer profiles3 records
Spotlab technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability16 records
Feature6 records
Spotlab partnerships and signals
Strategic signalPartnerships
23 partnerships are on record, tiered core and supporting.
- ISGlobal (Barcelona Institute for Global Health)coreMultiplexAI consortium coordination for developing AI diagnostic copilot for parasitic diseases. ISGlobal coordinates 9-institution Africa-Europe partnership with €5M EDCTP3 funding.
- Ahmadu Bello University (Nigeria)coreMultiplexAI consortium partner for clinical validation of AI diagnostic technology in Nigeria.
- Fundação Manhiça (Mozambique)coreMultiplexAI consortium partner conducting clinical studies for parasitic disease diagnosis in Mozambique.
- Université Félix Houphouët-Boigny (Ivory Coast)coreMultiplexAI consortium partner for African clinical validation sites.
- Jimma University (Ethiopia)coreMultiplexAI consortium partner for field validation in Ethiopia.
- IRCCS Ospedale Sacro Cuore Don Calabria (Italy)coreMultiplexAI consortium partner contributing European clinical expertise.
- Hutzpa Innovations (Nigeria)supportingMultiplexAI consortium partner providing innovation consultancy.
- Hospital 12 de OctubrecoreALMA project partner for AI development for leukemia diagnosis and prognosis. Development of bone marrow analysis AI models.
- Hospital Vall d'HebroncoreALMA project partner for hematopoietic disorder characterization and bone marrow image analysis research.
- Hospital Clínico San CarloscoreALMA project partner for MDS diagnostic and prognostic AI algorithms development.
- Universidad Politécnica de Madrid (UPM)coreSpin-off origin. ALMA project partner with CIBER-BBN collaboration. Ongoing research partnership for AI and biomedical applications.
- Universidad Complutense de Madrid (UCM)coreALMA project consortium partner for hematological disease AI research.
- GSKcoreInnovation program for digital transformation of hematology departments across 10+ Spanish hospitals.
- Kenya Medical Research Institute (KEMRI)coreCollaboration on helminth egg identification (Trichuris trichiura, Ascaris lumbricoides, hookworms) in stool samples for soil-transmitted helminthiasis.
- Instituto de Salud Carlos III (ISCIII)coreMultiple collaborations including filariasis detection, Cryptococcus quantification, ALMA project, and Florence AI assistant development. CNM-ISCIII provides clinical validation.
- DNDicoreCollaboration for digital tools supporting visceral leishmaniasis treatment development including AI for diagnostic quantification.
- FINDcoreCollaboration for diagnostic support in visceral leishmaniasis and evaluation of rapid tests for Chagas disease in endemic countries.
- University of California, BerkeleysupportingCollaboration for schistosomiasis egg quantification in stool or urine samples.
- Universidad Mayor de San Simón (Bolivia)supportingBlood parasite detection AI collaboration for malaria, Chagas disease, leishmaniasis, and filariasis.
- Oswaldo Cruz Foundation - Fiocruz (Brazil)supportingBlood parasite detection AI collaboration for parasitic diseases diagnosis.
- Institute for Medical Research (IMR, Malaysia)supportingBlood parasite detection AI collaboration for regional parasitic disease research.
- Fundación Mundo Sano (Argentina)supportingBlood parasite detection AI collaboration for Chagas disease and other parasitic diseases.
- Hardian HealthsupportingRegulatory consultancy partnership for CE marking and IVD regulation navigation to achieve approval for in vitro diagnostic device software.
Scale indicators10 records
Recent moves7 records
Expansion highlights7 records
Spotlab competitors and assessment
Company assessmentEmerging players
- SigTuple: SigTuple applies AI to digital microscopy for blood analysis and other diagnostics, with focus on emerging markets — closely aligned with SpotLab's MedulAI/ParasitAI cell and parasite quantification on microscopy images.
- Aignostics: Aignostics offers AI for pathology image analysis with a focus on biopharma clients and explainable models — directly comparable to SpotLab's biopharma-custom-AI revenue stream and microscopy-based diagnostic IP.
- Qure.ai: Qure.ai builds AI for medical imaging interpretation (notably chest X-ray, head CT, and tuberculosis) with deployments in resource-limited settings — closely comparable to SpotLab's MultiplexAI mission of bringing AI diagnostics to underserved geographies.
Direct peers
- Ibex Medical Analytics: Ibex develops AI for cancer pathology diagnostics deployed in hospital pathology workflows — comparable to SpotLab's histopathology-adjacent MedulAI and its broader 'AI diagnostic-aid for hospital labs' positioning.
- Paige.AI: Paige develops AI for pathology and oncology image analysis, including FDA-cleared products — directly comparable to SpotLab's microscopy-AI diagnostic approach targeting cancer and hematological disease workflows.
- Scopio Labs: Scopio Labs builds AI-powered digital microscopy platforms for hematology and cell morphology analysis — directly overlapping with SpotLab's MedulAI bone-marrow cell counting and classification use case targeting hospital hematology labs.
- PathAI: PathAI provides AI-powered pathology diagnostics for hospitals and biopharma, including tissue-based disease detection and biomarker quantification — directly comparable to SpotLab's microscopy-based AI diagnostics and biopharma service offerings.
Broad incumbents
- Owkin: Owkin is a federated-learning AI platform serving biopharma R&D and hospital diagnostics across multiple disease areas — comparable to SpotLab's biopharma AI services and multi-disease diagnostic portfolio at a larger scale.
- Tempus Labs: Tempus is a large AI-driven precision medicine company combining molecular data, imaging, and clinical records for diagnostics and biopharma — overlapping with SpotLab's predictive modeling, imaging AI, and biopharma service offerings.
- Lunit: Lunit provides AI-powered medical imaging analysis (notably mammography and chest imaging) with global hospital deployments — comparable to SpotLab's clinical imaging AI business model and global commercial footprint.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights6 records
Customer concentration
Spotlab social profiles
Digital presenceSpotlab compliance and trust
Trust signalCompliance5 records
Spotlab financial estimates
Financial estimateRevenue estimate
Valuation estimate
Spotlab leadership team
Management profileNumber of profiles
Profiles3 records
Spotlab funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Spotlab 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 Spotlab
What does Spotlab do?
SpotLab develops AI diagnostic models and the TeleSpot platform for clinical research and medical diagnosis. Its product portfolio includes MedulAI (bone marrow cell analysis classifying 23 cellular subtypes), ParasitAI (parasite quantification across 11 parasites with >90% accuracy), MultiplexAI (multiplex disease detection from microscope slides via smartphone-connected 3D-printed adapters), and Florence (multimodal AI copilot for skin neglected tropical diseases). Solutions are deployed via cloud, API, and edge-AI on mobile devices for use in hospitals, research centers, and resource-constrained settings.
Is Spotlab a public or private company?
Spotlab is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Spotlab founded?
Spotlab was founded in 2018. It employs 11 to 50 people.
Where is Spotlab based?
Spotlab is headquartered in Madrid, Spain, in the Europe region.
How does Spotlab make money?
Three revenue lines are on record. AI Services for Biopharma and Research Centers are the primary driver. The others are AI Platform Licensing and Deployment and medical Device Software (IVD).
Who are Spotlab's main competitors?
Emerging players on record are SigTuple, Aignostics and Qure.ai. Direct peers are Ibex Medical Analytics, Paige.AI, Scopio Labs and PathAI. Broad incumbents are Owkin, Tempus Labs and Lunit.
Does Spotlab have an API?
Yes. TeleSpot platform offers API deployment capabilities for integrating SpotLab's AI models with customers' systems. The API enables cloud-based AI results access and integration with external platforms. HuggingFace models (microfilariae_detection, filarias_species_detection) are also publicly available for integration. Developer documentation is at huggingface.co/SpotLab.
What industry is Spotlab in?
Spotlab's product category is Medical Diagnostic AI Software. Its primary akta.pro industry code is HLAAALAO, Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays), with a secondary code of HDAAAEAH, Medical Imaging AI. Its NAICS code is 621511 and its SIC code is 3841.