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Predicta Med

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uuid0007i1k

Namestring
Predicta Med
Legal namestring
Predicta Med Ltd.
Company typeenum
Private
Founded yearint
2020
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersTel Aviv, Israel
HQ citystring
Tel Aviv
HQ countrystring
Israel
HQ regionstring
Middle East
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
autoimmune disease detection, clinical decision support, EMR chart summarization, clinical trial matching, healthcare AI software
Industry4 codes
1Risk Stratification & Predictive Modeling (utilization, cost, readmission)
CodeHLACAHABPrimaryYes
2Diagnostic & Triage Decision Support
CodeHLACAGAAPrimaryNo
3Clinical & Claims Data Integration for Population Health (payer-provider data fusion)
CodeHLACAHAIPrimaryNo
4Interoperability Standards, Profiles & Implementation (HL7/FHIR/IHE)
CodeHLACABAAPrimaryNo
NAICS code1 code
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Healthcare AI / Clinical Decision Support
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1SaaS/Software Subscription
TypeSubscription Recurring
Description

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.

predicta-med.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Others
Pricing details1 tier
1Enterprise healthcare organizations (health systems, hospitals, specialty practices)
ModelSubscriptionBilling cadenceAnnual
Notes

Quote-based pricing; cloud and on-premise deployment options available

predicta-med.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 6 values shown
  • 10-25% revenue uplift per provider
+5 more records
Product overview1 text field

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.

Product and service1 record
1PredictAI™
CategoryEarly detection and risk identification
Scale indicator10 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Research 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.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Major 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.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

US health system partner listed in Predicta Med's partner section, representing potential market access and clinical validation partnership in the US healthcare market.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Medical advisors from Stanford Medicine collaborate with Predicta Med, providing clinical expertise and validation for AI platform development in autoimmune disease care.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Medical 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.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Academic medical center partner providing medical advisor collaboration for Predicta Med's AI platform development and autoimmune disease research.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Medical advisors from Southwestern (including Dr. Stanley Cohen, Former Head of ACR) collaborate with Predicta Med on clinical validation and autoimmune disease expertise.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Leading 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.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeEmerging player
Description

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.

TypeEmerging player
Description

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.

TypeBroad incumbent
Description

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.

TypeEmerging player
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers7 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration2 records

Each record includes

Title, Type, Description, Source

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature10 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles11 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors2 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Predicta Med

Healthcare AI / Clinical Decision Supportpredicta-med.com

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

  • Autoimmune disease detection
  • Clinical decision support
  • EMR chart summarization
  • Clinical trial matching
  • Healthcare AI software

Where Predicta Med is headquartered

Location

Headquarters

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

  1. 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

ModelBillingPrice
SubscriptionAnnualEnterprise healthcare organizations (health systems, hospitals, specialty practices)

Go-to-market motion2 records

Distribution channels4 records

Marketing channels6 records

Predicta Med product offering

Product offering

Core 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 profile

Named customers7 records

Segments3 records

Ideal customer profiles3 records

Predicta Med technology and API

Technology

Technology 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 signal

Partnerships

Eight partnerships are on record, tiered core and minor.

  • KSM (Kahn Sagol Maccabi)coreStrategic or Co-development PartnerResearch 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 ServicescoreStrategic or Co-development PartnerMajor 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.
  • HoagminorStrategic or Co-development PartnerUS health system partner listed in Predicta Med's partner section, representing potential market access and clinical validation partnership in the US healthcare market.
  • Stanford MedicinecoreStrategic or Co-development PartnerMedical advisors from Stanford Medicine collaborate with Predicta Med, providing clinical expertise and validation for AI platform development in autoimmune disease care.
  • Mayo CliniccoreStrategic or Co-development PartnerMedical 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 UniversitycoreStrategic or Co-development PartnerAcademic medical center partner providing medical advisor collaboration for Predicta Med's AI platform development and autoimmune disease research.
  • UT Southwestern Medical CentercoreStrategic or Co-development PartnerMedical advisors from Southwestern (including Dr. Stanley Cohen, Former Head of ACR) collaborate with Predicta Med on clinical validation and autoimmune disease expertise.
  • Sheba Medical CentercoreStrategic or Co-development PartnerLeading 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 assessment

Direct 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 presence

Predicta Med compliance and trust

Trust signal

Compliance1 record

Predicta Med financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Predicta Med leadership team

Management profile

Number of profiles

Profiles11 records

Predicta Med funding detail

Funding detail

Funding 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 investment

M&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.

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