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Available data points
Metadata
company_id
11298370
source_id
18096753
unique_domain
1
unique_website
1
last_updated_at
2025-03-25
created_at
2017-08-28
description
Ibex Medical Analytics pioneers AI-based cancer diagnostics in pathology. Pathologists are challenged to provide accurate and timely cancer diagnoses as their workloads keep increasing due to a rise in cancer prevalence and advances in personalized medicine that result in growing diagnostic complexity. We use artificial intelligence (AI) to develop clinical-grade algorithms and digital workflows that detect cancer as accurately as a human pathologist. Our Galen™ platform demonstrated outstanding outcomes in clinical studies and helps pathologists and providers eliminate diagnostic errors, implement real-time quality control, reduce diagnosis time and boost productivity. Deployed worldwide, Galen is the first-ever AI-powered cancer diagnostics platform used in routine clinical practice in pathology labs, with demonstrated success in improving the quality and efficiency of cancer diagnosis. We are a multidisciplinary team of entrepreneurs, data scientists, software engineers and medical experts, working together to realize our vision: transform cancer diagnosis with AI and improve patient care. If you are an outstanding professional constantly looking for challenges, passionate about your work, a team player and want to make real impact – we want to hear from you.
type
Privately Held
industry_group_1
Healthcare
Firmographics
company_name
Ibex Medical Analytics
company_legal_name
Ibex Medical Analytics Ltd.
is_b2b
1
industry
Hospitals and Health Care
founded_year
2016
size_range
51-200 employees
employees_count
106
Locations
hq_country
Israel
hq_country_iso2
IL
hq_country_iso3
ISR
hq_location
Tel Aviv, Israel
hq_full_address
*******
Follower counts & changes
followers_count_professional_network
12043
followers_count_owler
209
Funding
last_funding_round_name
Series C - Ibex Medical Analytics
last_funding_round_announced_date
2023-09-06
last_funding_round_amount_raised
55000000
last_funding_round_amount_raised_currency
$
last_funding_round_num_investors
6
Acquisitions
num_acquisitions_source_1
1
Technographics
num_technologies_used
16
Company websites and social media
website
https://www.ibex-ai.com
professional_network_url
https://www.professional-network.com/company/ibexmedicalanalytics
financial_website_url
https://www.financial-website.com/organization/ibex-medical-analytics
Website traffic
total_website_visits_monthly
13600
visits_change_monthly
17.82
rank_global
2092307
rank_country
34313
rank_category
687
bounce_rate
67.1
pages_per_visit
1.45
average_visit_duration_seconds
15
Employee review score & changes
company_employee_reviews_count
8
company_employee_reviews_aggregate_score
4.6
JSON data sample
{ "company_id": 11298370, "source_id": "18096753", "company_name": "Ibex Medical Analytics", "company_name_alias": [ "ibex medical analytics", "galen platform", "ibex (israel)", "ibex medical analytics ltd." ], "company_legal_name": "Ibex Medical Analytics Ltd.", "company_logo": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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\r\nUUAFFFFABRRRQAUUUUAFFFFAH//Z", "website": "https://www.ibex-ai.com", "professional_network_url": "https://www.professional-network.com/company/ibexmedicalanalytics", "twitter_url": [ "https://www.twitter.com/ibexmedax" ], "discord_url": [], "facebook_url": [ "https://www.facebook.com/ibexmedax", "https://www.facebook.com/pg/ibexmedax" ], "instagram_url": [], "pinterest_url": [], "tiktok_url": [], "youtube_url": [ "https://www.youtube.com/channel/ucxzlv1rpo2phsusj-aubixw" ], "github_url": [], "reddit_url": [], "financial_website_url": "https://www.financial-website.com/organization/ibex-medical-analytics", "stock_ticker": [], "is_b2b": 1, "industry": "Hospitals and Health Care", "sic_codes": [ "73", "737" ], "naics_codes": [ "54", "541" ], "categories_and_keywords": [ "healthcare", "laboratory software", "other laboratory software", "galen platform", "other laboratory", "health > health - other (in israel)", "machine learning", "algorithms", "cancer diagnostics", "deep learning", "computer vision", "digital pathology", "digital health", "artificial intelligence", "computational pathology", "oncology", "urology", "precision medicine", "predictive analytics", "pathology", "patient care", "clinical decision support tools", "ai-powered solutions", "health", "application-software", "healthtech", "analytics", "artificial intelligence (ai)", "health diagnostics" ], "description": "Ibex Medical Analytics pioneers AI-based cancer diagnostics in pathology. Pathologists are challenged to provide accurate and timely cancer diagnoses as their workloads keep increasing due to a rise in cancer prevalence and advances in personalized medicine that result in growing diagnostic complexity. We use artificial intelligence (AI) to develop clinical-grade algorithms and digital workflows that detect cancer as accurately as a human pathologist. Our Galen™ platform demonstrated outstanding outcomes in clinical studies and helps pathologists and providers eliminate diagnostic errors, implement real-time quality control, reduce diagnosis time and boost productivity. Deployed worldwide, Galen is the first-ever AI-powered cancer diagnostics platform used in routine clinical practice in pathology labs, with demonstrated success in improving the quality and efficiency of cancer diagnosis. We are a multidisciplinary team of entrepreneurs, data scientists, software engineers and medical experts, working together to realize our vision: transform cancer diagnosis with AI and improve patient care. If you are an outstanding professional constantly looking for challenges, passionate about your work, a team player and want to make real impact – we want to hear from you.", "description_enriched": "Ibex Medical Analytics develops AI-driven clinical decision support tools that help pathologists deliver more efficient, metric-driven, objective and accurate diagnosis. It combines AI, data science, image analysis and machine learning technologies and applies them to cancer diagnostics in digital pathology.", "description_metadata_raw": "Ibex Medical Analytics develops AI-driven clinical decision support tools that help pathologists deliver more efficient, metric-driven, objective and accurate diagnosis. It combines AI, data science, image analysis and machine learning technologies and applies them to cancer diagnostics in digital pathology.", "type": "Privately Held", "status": { "value": "active", "comment": "Independent Company" }, "founded_year": "2016", "size_range": "51-200 employees", "employees_count": 106, "followers_count_professional_network": 12043, "followers_count_twitter": null, "followers_count_owler": 209, "hq_region": [ "Asia", "Western Asia", "EMEA" ], "hq_country": "Israel", "hq_country_iso2": "IL", "hq_country_iso3": "ISR", "hq_location": "Tel Aviv, Israel", "hq_full_address": "*******", "hq_city": null, "hq_state": null, "hq_street": null, "hq_zipcode": null, "company_locations_full": [ { "location_address": "*******", "is_primary": 0 }, { "location_address": "*******", "is_primary": 1 }, { "location_address": "*******", "is_primary": 0 }, { "location_address": "*******", "is_primary": 0 }, { "location_address": "*******", "is_primary": 0 }, { "location_address": "*******", "is_primary": 0 } ], "is_public": 0, "ipo_date": null, "ipo_share_price": null, "ipo_share_price_currency": null, "revenue_annual_range": { "source_4_annual_revenue_range": null, "source_6_annual_revenue_range": { "annual_revenue_range_from": 15000000, "annual_revenue_range_to": 25000000, "annual_revenue_range_currency": "$" } }, "revenue_annual": { "source_5_annual_revenue": { "annual_revenue": 22500000, "annual_revenue_currency": "$" }, "source_1_annual_revenue": null }, "revenue_quarterly": null, "income_statements": [], "stock_information": [], "last_funding_round_name": "Series C - Ibex Medical Analytics", "last_funding_round_announced_date": "2023-09-06", "last_funding_round_lead_investors": [ "83North" ], "last_funding_round_amount_raised": 55000000, "last_funding_round_amount_raised_currency": "$", "last_funding_round_num_investors": 6, "funding_rounds": [ { "name": "Debt Financing - Ibex Medical Analytics", "announced_date": "2022-11-09", "lead_investors": [ "********" ], "amount_raised": 10000000, "amount_raised_currency": "$", "num_investors": 6 }, { "name": "Series B - Ibex Medical Analytics", "announced_date": "2021-03-09", "lead_investors": [ "********", "********" ], "amount_raised": 38000000, "amount_raised_currency": "$", "num_investors": 5 }, { "name": "Series A - Ibex Medical Analytics", "announced_date": "2019-03-26", "lead_investors": [ "********" ], "amount_raised": 11000000, "amount_raised_currency": "$", "num_investors": 4 }, { "name": "Seed Round - Ibex Medical Analytics", "announced_date": "2017-03-01", "lead_investors": [], "amount_raised": 2600000, "amount_raised_currency": "$", "num_investors": 1 }, { "name": "Series C - Ibex Medical Analytics", "announced_date": "2023-09-06", "lead_investors": [ "********" ], "amount_raised": 55000000, "amount_raised_currency": "$", "num_investors": 6 }, { "name": "Grant - Ibex Medical Analytics", "announced_date": "2023-03-06", "lead_investors": [ "********" ], "amount_raised": 1855493, "amount_raised_currency": "$", "num_investors": 1 }, { "name": "Non Equity Assistance - Ibex Medical Analytics", "announced_date": "2019-09-09", "lead_investors": [ "********" ], "amount_raised": null, "amount_raised_currency": null, "num_investors": 1 }, { "name": "Seed Round - Ibex Medical Analytics", "announced_date": "2017-03-01", "lead_investors": [], "amount_raised": 2600000, "amount_raised_currency": "$", "num_investors": 2 } ], "ownership_status": "Private", "parent_company_information": null, "acquired_by_summary": null, "num_acquisitions_source_1": 1, "acquisition_list_source_1": [ { "acquiree_name": "IBEX MEDICAL ANALYTICS LIMITED", "announced_date": null, "price": null, "currency": null } ], "num_acquisitions_source_2": null, "acquisition_list_source_2": [], "num_acquisitions_source_5": null, "acquisition_list_source_5": [], "competitors": [ { "company_name": "pathai", "similarity_score": 100000 }, { "company_name": "sigtuple", "similarity_score": 14100 }, { 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"unique_domain": 1, "unique_website": 1, "last_updated_at": "2025-03-25", "created_at": "2017-08-28", "industry_group_1": "Healthcare", "industry_group_2": null }
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