Predicta Med
- Company typePrivate
- Founded2020
- HeadquartersTel Aviv, Israel
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Predicta Med firmographics
Firmographics- Name
- Predicta Med
- Legal name
- Predicta Med Ltd.
- Website
- https://predicta-med.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Predicta Med industry classification
Industry- Product category
- Healthcare AI / Clinical Decision Support
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Risk Stratification & Predictive Modeling (utilization, cost, readmission) (HLACAHAB)
- akta.pro secondary industries
- Diagnostic & Triage Decision Support (HLACAGAA), Clinical & Claims Data Integration for Population Health (payer-provider data fusion) (HLACAHAI), Interoperability Standards, Profiles & Implementation (HL7/FHIR/IHE) (HLACABAA)
Keywords
Where Predicta Med is headquartered
LocationHeadquarters
- HQ city
- Tel Aviv
- HQ country
- Israel
- HQ region
- Middle East
Offices2 records
Markets served
Predicta Med business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Others
Revenue model
- SaaS/Software Subscription: Cloud-based or on-premise AI platform subscription for healthcare organizations. The company offers standalone primary care software (cloud/on-premise) and EMR integrations via HL7-FHIR protocol, suggesting a per-provider or per-institution subscription model typical of healthcare SaaS.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise healthcare organizations (health systems, hospitals, specialty practices) |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels6 records
Predicta Med product offering
Product offeringCore offering
Predicta Med builds an AI-powered clinical decision support platform for autoimmune specialty care, delivered as cloud-based or on-premise software integrated with electronic medical records via HL7-FHIR. The platform is sold to healthcare organizations and clinicians through enterprise subscriptions and comprises three modules: PredictAI™ for early autoimmune disease detection and workup recommendations, PredictaChart™ for automated patient chart summarization, and PredictaMatch™ for clinical trial matching.
Product overview
Predicta Med offers a unified AI platform for autoimmune specialty care optimization consisting of three integrated modules: PredictAI™ for early detection and risk identification, PredictaChart™ for automated patient chart summarization, and PredictaMatch™ for clinical trial matching. The platform combines advanced clinical algorithms, real-time EMR integration, and specialty-specific intelligence to streamline decision-making and personalize care across the patient journey.
Differentiator
Problem solved
Functional benefit
Products and services
- PredictAI™
Quantifiable outcome
- 10-25% revenue uplift per provider
- +5 more outcomes
Companies that use Predicta Med
Customer profileNamed customers7 records
Segments3 records
Ideal customer profiles3 records
Predicta Med technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability9 records
Feature10 records
Predicta Med partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered core and minor.
- KSM (Kahn Sagol Maccabi)coreResearch and innovation center of Maccabi Healthcare Services providing 2.5M EMR records and 1.7M claims records for AI model validation and proof of concept across 7 autoimmune disease conditions. KSM leads advanced global health improvements collaborating with scientists, researchers, academic institutions, pharmaceutical companies, startups, and tech companies.
- Maccabi Healthcare ServicescoreMajor Israeli healthcare organization partnering with Predicta Med for AI-driven autoimmune disease detection and care optimization. Provides clinical data and validation environment for platform development.
- HoagminorUS health system partner listed in Predicta Med's partner section, representing potential market access and clinical validation partnership in the US healthcare market.
- Stanford MedicinecoreMedical advisors from Stanford Medicine collaborate with Predicta Med, providing clinical expertise and validation for AI platform development in autoimmune disease care.
- Mayo CliniccoreMedical advisors from Mayo Clinic (including Dr. Sunanda V. Kane, Professor of Medicine) collaborate with Predicta Med, providing clinical expertise and validation for AI platform development.
- Columbia UniversitycoreAcademic medical center partner providing medical advisor collaboration for Predicta Med's AI platform development and autoimmune disease research.
- UT Southwestern Medical CentercoreMedical advisors from Southwestern (including Dr. Stanley Cohen, Former Head of ACR) collaborate with Predicta Med on clinical validation and autoimmune disease expertise.
- Sheba Medical CentercoreLeading Israeli medical center with multiple advisors (Prof. Shomron Ben-Horin, Chief of Gastroenterology; Prof. Yehuda Shoenfeld, Founder of Zabludowicz Center for Autoimmune Diseases; Prof. Ora Shovman) providing clinical expertise, validation, and autoimmune disease research collaboration.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Predicta Med competitors and assessment
Company assessmentDirect peers
- K Health: AI-enabled consumer and clinical health platform that uses NLP/LLMs on patient data to support diagnosis and triage. Predicta Med's VP Medical Strategy, Dr. Michael Dreyfuss, was previously a medical domain expert at K Health.
- Atropos Health: Provides real-world evidence-driven clinical decision support from EHR data, enabling physicians to query similar patient outcomes. Comparable as a data-and-AI clinical decision support layer integrated into physician workflow.
- Medial EarlySign: Israel-based AI platform that applies machine learning to EHR data to identify patients at risk of undiagnosed or future disease (e.g., cancer, diabetes). Directly comparable to Predicta Med's EMR-driven risk stratification and clinical decision support approach; Predicta Med's CMO Dan Underberger was previously Senior Medical Director there.
- Regard: AI clinical decision support platform that mines EMR data to surface undiagnosed conditions and streamline documentation for hospitals. Highly comparable to Predicta Med on AI-driven EMR analysis for earlier diagnosis and chart summarization.
Emerging players
- Hippocratic AI: LLM-based clinical agents and decision-support tools aimed at healthcare workflows. Comparable on the LLM/agentic AI architecture used in Predicta Med's agentic AI and NLP modules.
- DreaMed Diabetes: AI clinical decision support for chronic disease management, originally diabetes. Comparable as a condition-specific, AI-driven decision-support platform for chronic care, though narrower in clinical area.
- Glass Health: AI clinical decision support tool for physicians that drafts differential diagnoses and treatment plans from patient data. Comparable as an AI copilot for clinical reasoning, though not autoimmune-specialized.
Broad incumbents
- Suki AI: AI voice assistant for clinicians that automates documentation, coding, and chart summarization inside the EMR. Overlaps with PredictaChart™ in chart-summarization use cases but serves all specialties rather than focusing on autoimmune.
- Tempus Labs: Large-scale AI and data platform combining clinical, molecular, and imaging data to support precision-medicine decisions. Comparable as a healthcare AI/data platform, but with a much broader scope (oncology-led) and far greater scale.
- Change Healthcare: Major healthcare data and analytics platform with clinical decision support and risk-stratification capabilities at scale. Predicta Med's CMO previously served as clinical solution executive at Change Healthcare.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Predicta Med social profiles
Digital presencePredicta Med compliance and trust
Trust signalCompliance1 record
Predicta Med financial estimates
Financial estimateRevenue estimate
Valuation estimate
Predicta Med leadership team
Management profileNumber of profiles
Profiles11 records
Predicta Med funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Predicta Med 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 Predicta Med
What does Predicta Med do?
Predicta Med builds an AI-powered clinical decision support platform for autoimmune specialty care, delivered as cloud-based or on-premise software integrated with electronic medical records via HL7-FHIR. The platform is sold to healthcare organizations and clinicians through enterprise subscriptions and comprises three modules: PredictAI™ for early autoimmune disease detection and workup recommendations, PredictaChart™ for automated patient chart summarization, and PredictaMatch™ for clinical trial matching.
Is Predicta Med a public or private company?
Predicta Med is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Predicta Med founded?
Predicta Med was founded in 2020. It employs 11 to 50 people.
Where is Predicta Med based?
Predicta Med is headquartered in Tel Aviv, Israel, in the Middle East region.
How does Predicta Med make money?
One revenue line is on record: saaS/Software Subscription.
Who are Predicta Med's main competitors?
Direct peers on record are K Health, Atropos Health, Medial EarlySign and Regard. Emerging players are Hippocratic AI, DreaMed Diabetes and Glass Health. Broad incumbents are Suki AI, Tempus Labs and Change Healthcare.
Does Predicta Med have an API?
No public API is recorded for Predicta Med.
What industry is Predicta Med in?
Predicta Med's product category is Healthcare AI / Clinical Decision Support. Its primary akta.pro industry code is HLACAHAB, Risk Stratification & Predictive Modeling (utilization, cost, readmission), with a secondary code of HLACAGAA, Diagnostic & Triage Decision Support. Its NAICS code is 54151 and its SIC code is 7372.