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{| class="wikitable" style="vertical-align:center; width: 100%; color:black; background-color:#ffffcc; border-width: 3px red; text-align:center;"
(Ignoring drug discovery for now, since I'm not interested in that space)
|I've been collecting worthwhile info in this wiki since 2010. Some links may not work (mostly because noted companies have moved on). Since 2024, most of the edits are on the [https://www.pallavsharda.com/wiki/index.php?title=Artificial_Intelligence AI] page.
Applications
~ [http://www.pallavsharda.com Pallav]
|}


===Hard to categorize===
*[https://genhealth.ai GenHealth AI]: Instead of text, their LLM is being trained on medical events data. Led by 1upHealth founder Ricky Sahu. $13M funding, Boston Based.
*[https://www.radmate.ai RadMate]: Rethinking radiologist's reporting workflow using LLMs. YC'24.
*[https://www.triomics.com/how-it-works Triomics]: Oncology-specific model (OncoLLM) to assist with trials, clinical operations. $15M Series A. YC'21, General Catalyst.
*[https://centaurlabs.com/ Centaur Labs]: Data annotation platform, specifically for healthcare. $15M, Boston.
*[https://www.slingshot.xyz SlingShot AI]: Not much details but the mission of 'task-specific generative models for psychology' is intriguing. NY based. $30M seed. A16Z.
*[https://www.astrix.health Astrix Health]: Suite of tools to evaluate safety and compliance of LLMs - specifically for healthcare.


<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><u>'''Broad Topics'''</u></div> 
===Care pathway tuned Agents===
* '''[[Artificial Intelligence]]''': AI seems to be having a PR resurgence since Google bought DeepMind in early 2014. Needless to say, the applications in health are broad and with huge potential and this list tracks notable companies that focus partially or completely on applying AI to health. My favorite books on AI are also noted here.


* '''[[Care Coordination]]''': Solutions that focus on making it easier for different stakeholders (family, relatives, clinicians, social worker, care manager, etc.) in the extended care team to work with one other in context of a single patient's care. There is no consensus or explicit definition, but [http://www.qualityforum.org/Publications/2010/10/Quality_Connections__Care_Coordination.aspx this paper from NQF] is mostly right about what Care Coordination means.  
<blockquote> Companies offering Agents with the ability to have conversations, actions that are adjacent to care delivery. No company is claiming anything that can be construed to replace a clinician, of course. But these offerings seem to be aware of care pathway context - which makes them different from the operationally-tuned agents</blockquote>
*[https://www.hippocraticai.com/ Hippocratic AI]: Founded 2022 by an experienced team (Munjal Shah, CEO). Pitching a 'safety focused' LLM pre-trained on evidence-based data in healthcare. Raised $65M since May 2023 from General Catalyst, A16Z.
*[https://www.prnewswire.com/news-releases/openai-startup-fund--arianna-huffingtons-thrive-global-create-new-company-thrive-ai-health-to-launch-hyper-personalized-ai-health-coach-302190536.html Thrive AI Health]: No website yet. Hyper-personalized AI health coach using Gen AI. $8M seed in July 2024 by OpenAI Startup Fund and Ariana Huffington's Thrive Global.
*[https://tryasclepius.com/ Asclepius Health]: Modernizing care management with clinically-informed conversations with patients over text and voice. Ex-Google founders.
*[https://www.sully.ai Sully.ai]: Straight-up AI employees vision (ancillary/support staff like scribes, receptionist, pharmtech, etc). YC'21.


*'''[[Population Health Management]]''': Healthcare IT software related to managing a large group of patients. Includes vendors offerings that have to do with registries, research cohorts, patient panel management, etc.
===Operationally tuned Agents===


* '''[[Advanced Analytics]]''': A forward-looking style of information analysis focused on continuous and iterative investigation of past performance to drive business planning and estimate future performance. Predictive modeling is perhaps the most widley recognized technique in this category, but there are others. This list contains information around Advanced Analytics news, resources and offerings.
<blockquote>Agentic offerings that are ''mostly'' focused on logistical use cases like helping with scheduling, explaining bills, sending reminders etc.</blockquote>
*[https://www.assorthealth.com/ Assort Health]: Gen AI agents for healthcare call centers, has EHR integrations. $3.5M raised. Tau Ventures.
*[https://www.lagunahealth.com/ Laguna Health]: Real-time conversational AI incorporating determinants of health. $20+M raised. Israel/US team.
*[https://www.eliseai.com/healthai Elise AI]: Started with conversational AI products for Housing industry in 2017. $140M+ raised. Series D. NYC based. Healthcare foray since 2023 for tasks like scheduling, non-clinical communication (mostly in outpatient setting).
*[https://penciled.com/ Penciled]: Front-office assistant for scheduling. YC'24
*[https://www.tennr.com Tennr]: LLM trained as 'document reasoning model' to do eligibility, authorizations, chart creation, referrals etc. A16Z $18M Series A.
*[https://www.infinitus.ai Infinitus]: Automating provider's phone-based workflows with agents. Applications: eligibility, prior auth, follow-ups. $21M Series A with Kleiner, $30M Series B with GV.


*'''[[Communication]]''': With the market focus on interop and care transition, several firms have started claiming to solve the communication-silo problem in healthcare. Real-time, secure exchange of messages across organizational and team boundaries is an inspiring dream. Current approaches to it span HIE names, Secure Texting vendors, Secure Emailing etc.
===Prior-Auth, Claims===
*[https://daffodilhealth.co/about Daffodil Health]: LLM-powered claims repricing for payors. SF-based. $4.6M seed by Maverick.
*[https://www.anterior.com/ Anterior]: Used to be called Co:Helm. Streamlining prior auth using Gen AI. $3M seed from Sequoia, then $20M Series A with NEA.
*[https://www.basys.ai/ Basys.ai]: Prior Auth solution using Gen AI. $2.4M preseed from AMV, Mayo, Eli Lilly. ?Acquired?
*[https://www.humatahealth.com/ Humata]: Prior Auth. $25M from LRVHealth, Optum, Highmark.
*[https://www.machinify.com/ Machinify]: $12M Series A. GV, Battery Ventures. GenAI-driven healthcare ops in three areas: 1. Claim Audit, 2.Billing Review, 3. Prior Auth (this was sold to Evolent Health in June 2024!)


===Scribe, Summary, Referral creation===
*[https://www.ambiencehealthcare.com/product Ambience Healthcare]: AI-Scribe solutions. $106M raised. A16Z, OpenAIFund, Kleiner, Anne Wojcicki, Jeff Dean, Martin Ventures, Optum Vntures. SF based.
*[https://www.abridge.com Abridge]: GenAI for Clinical Documentation. Pittsburgh based. UPMC led Series A. $150M Series C with LightSpeed in Feb 2024. Total $207M funding.
*[https://piecestech.com/ Pieces]: Chart summarization, progress note drafting, billing aids). $61M. Series B. Texas-based.
*[https://www.navina.ai Navina]: Summaries for chart review, risk adjustment, diagnostic decision support. $44M. Series B.
*[https://healthsage.ai/ HealthSage]: Amsterdam-based. €3M Seed. Vision is to be a Gen AI 'platform'. Current application is LLM-based conversion of clinical note to FHIR.
*[https://tortus.ai/ Tortus]: $4.2M seed from Khosla ventures in Feb 2024


== Computer Vision ==
*[https://www.zebra-med.com Zebra Med]: AI applied to medical imaging. $20M raised. Israeli.
*[https://www.jvion.com Jvion]: Cognitive computing applied to clinical data to make various predictions. $9M raised.
*[http://www.aicure.com AI Cure]: Applying machine learning and computer vision to medication adherence. Smartphone camera can verify if the patient took medication. Raised $15M+.
*[http://www.gausssurgical.com/ Gauss Surgical]: $24M raised. Computer vision and AI for measuring blood loss during surgery. Since 2011.
*[https://baylabs.io BayLabs]: Applying deep learning to ultrasound imaging. $5.3M Series A.
*[http://aidence.com/ Aidence]: Medical image analysis. Amsterdam. $2.5M raised.
*[http://paige.ai Paige.AI]: Pathology AI Guidance Engine. Oncology focus. $25M Series A.
*[http://www.qure.ai Qure.ai]: Imaging AI
*[http://www.viz.ai Viz.AI]: AI-based identification of suspected large vessel occlusion (LVO) strokes. $80M+. KPCB, GV.
*[https://www.arterys.com/ Arterys]: AI for radiology workflow. $46M raised. Has FDA approvals.
*[http://www.brainomix.com/ Brainomix]: AI interpretation of brain CT scans of stroke patients. $13M raised. UK based.
*[http://www.md.ai MD.AI]: Annotation tool, algorithms and datasets.
*[http://www.path.ai Path.ai]: AI in Pathology. $75M+ raised. Boston. General Catalyst.
*[https://www.aidoc.com/ AIDoc]: $41.5M raised. Israel. FDA cleared. Analyzes CT exams for a suspected intracranial hemorrhage, then prioritizes workflow for radiologist
*[https://densitas.health/solutions Densitas]: FDA-cleared. $1.3M raised. Canadian. Assesses breast density (associated with increased risk of breast cancer)  on digital mammograms.


<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><u>'''Narrow Topics'''</u></div>
== Billing ==
* '''[[API|Interop Companies]]''': Companies that are explicitly creating APIs or platforms to tackle EHR data access and interoperability issues.  
*[http://www.fathomhealth.co Fathom Health]: Applying AI and deep learning NLP to reimbursement. Formerly TinyRx (on-demand prescription delivery service, shut down in May 2016). Raised $7.7M. Google ventures included.
*[http://www.cloudmedxhealth.com/ CloudMedX]: $6.7M raised. Billing optimization.
*[https://www.alphahealth.com Alpha Health]: Ex-A16Z partner is founder. RCM focus. Stealth but most probably well funded. ?A16Z.


*'''[[Clinical Domain Specific]]''': Some of the interesting companies have chosen a particular clinical specialty as their target market. Like Dermatology, Mental Health. Offerings typically include marketplaces, telemedicine, etc.
== Therapy Discovery ==
*[http://www.atomwise.com/ Atomwise]: Drug discovery using AI. Raised $6M+
*[http://www.recursionpharma.com/approach.html Recursion Pharmaceuticals]: Drug discovery using AI. $58M raised.
*[http://benevolent.ai/about-us/ Benevolent.ai]: AI for drug discovery and bioscience innovation in general. $140M raised. UK based.
*[http://www.gnshealthcare.com/our-approach/ GNS Healthcare]: Machine learning applied for precision medicine. Solutions around patient segmentation, drug discovery. $43M raised.
*[http://berghealth.com/platform/ Berg]: Unknown funding. Therapy discovery using omics data.
*[http://turbine.ai/ Turbine]: Cancer therapeutics using AI. Unknown funding. EU.
*[http://bioagelabs.com BioAge Labs] Drug discovery related to aging. $10.9M Series A led by A16Z.
*[http://qrativ.bio Qrativ]: AI platform to identify treatments for rare diseases. $8.5M. Mayo Clinic.
*[https://www.enginebio.com Engine Bio]: $10M Seed in Jan 2018.
*[http://www.insitro.com Insitro]: Founder is Stanford's Daphne Koller
*[https://www.vergegenomics.com Verge Genomics]: $32M. DFJ.


*'''[[Niche Informatics Companies|Niche Healthcare IT Companies]]''': Firms offering specialized, sometimes informatics-heavy products. Most have not seen significant market traction. They are noted here because of the somewhat unique pedigree or solution or target market. Mostly, they focus on opportunities not directly addressed by big players in Healthcare IT industry.  
== Risk Stratification ==
*[http://www.kensci.com KenSci]: Risk stratification of patient populations using ML. UW Tacoma professor founder. $8.5M raised.
*[http://lumiata.com/product/ Lumiata]: Healthcare risk management using AI. $20M raised. Khosla Ventures.
*[https://www.closedloop.ai/home/#product ClosedLoop.ai]: Seed stage


*'''[[Scheduling]]''': Some offerings in the market are specifically focusing on scheduling issues in healthcare. They range from the often-thought-about topic of patient appointment scheduling, to less-known but more intricate topic of staff scheduling. Scheduling is potentially a future sub-domain that can sustain independent yet viable vendors.
== Chatbots ==
*[http://wwwyour.md Your MD]: AI-driven chatbot that does lead gen for care services. $7.3M funded. London based.
*[http://www.buoy.org Buoy]: $2M raised. Adam Grant (Author) is founder.
*[http://www.babylonhealth.com Babylon Health]: $25M raised. UK.
*[http://www.elth.ai Elth]: India-based
*[http://www.orderlyhealth.com/ Orderly Health]:
*[https://www.botmd.io/en/ Bot MD]: $700K seed. YCombinator. Steve Blank.
*[Http://www.ada.com Ada]: Germany based, funded. $69M+


*'''[[NLP & Speech Recognition]]''': List of companies that have offerings based on ''healthcare-specific'' Natural Language Processing and/or Speech Recognition technology.  
== Genomics ==
*[https://www.deepgenomics.com/tech/ Deep Genomics]: Using ML to predict effects of genetic variation on a disease context. $3.7M raised. Canadian.


*'''[[Medication Related]]''': A curious sub-category that can fit in couple of parent categories elsewhere. Extracted here to study on it's own since it has the special property of crossing care settings very easily (meds remain a relevant context before, during and after a healthcare encounter). There has been an upsurge in medication-related startups in the recent past.
== Misc.==
 
*[https://cardiogr.am/ Cardiogram]: Ex-google founders, applying deep learning to mobile health data. Backed by Andreessen Horowitz.
*'''[[Digital Medicine]]''': Buzzword-like category to keep track of companies that are creating software interventions that may qualify as actual clinical interventions (diagnostic, therapeutic) one day.  
*[http://www.theneura.com Neura]: Using AI to optimize mobile apps and IoT devices for Med adherence. Interesting SDK approach. Raised $13M. Israeli team, located in Sunnyvale.
 
*[http://www.enlitic.com Enlitic]: SF-based, $15M raised. Applying deep-learning to areas like triage, radiology, screening.
*'''[[Insurance]]''': Startups that are disrupting the traditional health insurance carrier industry, using new approaches like digital tools, prevention focus, etc. Also includes software companies that are helping customers create value-based payment (VBP) models and commercial bundled payment programs.
*[http://www.deep6.ai Deep6]: AI-based text analysis of EHRs to find clinical trial candidates. ? Funding.
 
*[http://www.digitalreasoning.com/proven-solutions-content/healthcare/clinical-documentation#content Digital Reasoning]: Cognitive computing applied to industries. Healthcare focus. $73.9M raised.
*'''[[Blockchain]]''': This core technology behind cryptocurrencies has the ability to solve multiple issues in healthcare information sphere since it enables the decentralized trust management. This list tracks the legitimate attempts at applying blockchain to health information.
*[http://www.physiq.com PhysIQ]: ML applied to biosignals to create a personal baseline. Selling to post-acute providers, pharma (clinical trials), wearable/device manufacturers. $11.9M raised.
 
*[http://www.dreamed-diabetes.com/technology DreaMed Diabetes]: $5.3M raised from Medtronic. Closed-loop insulin delivery tech. CE mark for artificial pancreas.
*'''[[Hardware Platforms]]''': These are (were) the players putting forth physical computing devices with healthcare focus (eg. built to withstand bumps, disinfection, spills etc). This category was fascinating in early 2000's, but now mostly lifeless. Preserved only for bemusement and posterity.
*[https://roamanalytics.com Roam Analytics]: ML platform for various applications in healthcare. $21M raised.
 
*[https://www.hindsait.com/ Hindsait]: Various applications of NLP, ML in Healthcare. Unknown funding.
 
*[http://www.precisionhealth.ai/product-and-solution.html Precision Health AI]: $20M Series A in 2017. Oncology treatment focus.
''Note: Helpful wiki-style formatting tips are [http://en.wikipedia.org/wiki/Help:Wiki_markup here] and [http://www.mediawiki.org/wiki/Help:Formatting here].''
*[http://carta.healthcare/ Carta]: ML-based predictive models off of EHR data. Inpatient-focused. Funded by AMV.
*[http://www.eko.ai Eko.ai]: Stealth but something around Echocardiograms. Singapore.
*[http://www.vitaler.com Vital ER]: AI-based ED operational flow insights (predict admissions, staffing needs, etc). Led by ex-Founder of Mint.com Aaron Patzer. $5.2M seed. DFJ, First Round. New Zealand based. Collaborate with Emory University.
*[http://www.care.ai Care.AI]: IoT platform, focused on ROI-based use cases like hand sanitization, falls, pressure ulcers. Make their own hardware. based on Google Coral toolkit.
*[https://closedloop.ai/solutions/ ClosedLoop.AI]: Data science platform for healthcare. Model build/deployment made easier.
*[http://www.owkin.com Owkin]: Applying federated learning to medical research. $18M Series A. GV backed. European team/founders, but based in NYC.

Revision as of 20:06, 23 October 2024

(Ignoring drug discovery for now, since I'm not interested in that space) Applications

Hard to categorize

  • GenHealth AI: Instead of text, their LLM is being trained on medical events data. Led by 1upHealth founder Ricky Sahu. $13M funding, Boston Based.
  • RadMate: Rethinking radiologist's reporting workflow using LLMs. YC'24.
  • Triomics: Oncology-specific model (OncoLLM) to assist with trials, clinical operations. $15M Series A. YC'21, General Catalyst.
  • Centaur Labs: Data annotation platform, specifically for healthcare. $15M, Boston.
  • SlingShot AI: Not much details but the mission of 'task-specific generative models for psychology' is intriguing. NY based. $30M seed. A16Z.
  • Astrix Health: Suite of tools to evaluate safety and compliance of LLMs - specifically for healthcare.

Care pathway tuned Agents

Companies offering Agents with the ability to have conversations, actions that are adjacent to care delivery. No company is claiming anything that can be construed to replace a clinician, of course. But these offerings seem to be aware of care pathway context - which makes them different from the operationally-tuned agents

  • Hippocratic AI: Founded 2022 by an experienced team (Munjal Shah, CEO). Pitching a 'safety focused' LLM pre-trained on evidence-based data in healthcare. Raised $65M since May 2023 from General Catalyst, A16Z.
  • Thrive AI Health: No website yet. Hyper-personalized AI health coach using Gen AI. $8M seed in July 2024 by OpenAI Startup Fund and Ariana Huffington's Thrive Global.
  • Asclepius Health: Modernizing care management with clinically-informed conversations with patients over text and voice. Ex-Google founders.
  • Sully.ai: Straight-up AI employees vision (ancillary/support staff like scribes, receptionist, pharmtech, etc). YC'21.

Operationally tuned Agents

Agentic offerings that are mostly focused on logistical use cases like helping with scheduling, explaining bills, sending reminders etc.

  • Assort Health: Gen AI agents for healthcare call centers, has EHR integrations. $3.5M raised. Tau Ventures.
  • Laguna Health: Real-time conversational AI incorporating determinants of health. $20+M raised. Israel/US team.
  • Elise AI: Started with conversational AI products for Housing industry in 2017. $140M+ raised. Series D. NYC based. Healthcare foray since 2023 for tasks like scheduling, non-clinical communication (mostly in outpatient setting).
  • Penciled: Front-office assistant for scheduling. YC'24
  • Tennr: LLM trained as 'document reasoning model' to do eligibility, authorizations, chart creation, referrals etc. A16Z $18M Series A.
  • Infinitus: Automating provider's phone-based workflows with agents. Applications: eligibility, prior auth, follow-ups. $21M Series A with Kleiner, $30M Series B with GV.

Prior-Auth, Claims

  • Daffodil Health: LLM-powered claims repricing for payors. SF-based. $4.6M seed by Maverick.
  • Anterior: Used to be called Co:Helm. Streamlining prior auth using Gen AI. $3M seed from Sequoia, then $20M Series A with NEA.
  • Basys.ai: Prior Auth solution using Gen AI. $2.4M preseed from AMV, Mayo, Eli Lilly. ?Acquired?
  • Humata: Prior Auth. $25M from LRVHealth, Optum, Highmark.
  • Machinify: $12M Series A. GV, Battery Ventures. GenAI-driven healthcare ops in three areas: 1. Claim Audit, 2.Billing Review, 3. Prior Auth (this was sold to Evolent Health in June 2024!)

Scribe, Summary, Referral creation

  • Ambience Healthcare: AI-Scribe solutions. $106M raised. A16Z, OpenAIFund, Kleiner, Anne Wojcicki, Jeff Dean, Martin Ventures, Optum Vntures. SF based.
  • Abridge: GenAI for Clinical Documentation. Pittsburgh based. UPMC led Series A. $150M Series C with LightSpeed in Feb 2024. Total $207M funding.
  • Pieces: Chart summarization, progress note drafting, billing aids). $61M. Series B. Texas-based.
  • Navina: Summaries for chart review, risk adjustment, diagnostic decision support. $44M. Series B.
  • HealthSage: Amsterdam-based. €3M Seed. Vision is to be a Gen AI 'platform'. Current application is LLM-based conversion of clinical note to FHIR.
  • Tortus: $4.2M seed from Khosla ventures in Feb 2024

Computer Vision

  • Zebra Med: AI applied to medical imaging. $20M raised. Israeli.
  • Jvion: Cognitive computing applied to clinical data to make various predictions. $9M raised.
  • AI Cure: Applying machine learning and computer vision to medication adherence. Smartphone camera can verify if the patient took medication. Raised $15M+.
  • Gauss Surgical: $24M raised. Computer vision and AI for measuring blood loss during surgery. Since 2011.
  • BayLabs: Applying deep learning to ultrasound imaging. $5.3M Series A.
  • Aidence: Medical image analysis. Amsterdam. $2.5M raised.
  • Paige.AI: Pathology AI Guidance Engine. Oncology focus. $25M Series A.
  • Qure.ai: Imaging AI
  • Viz.AI: AI-based identification of suspected large vessel occlusion (LVO) strokes. $80M+. KPCB, GV.
  • Arterys: AI for radiology workflow. $46M raised. Has FDA approvals.
  • Brainomix: AI interpretation of brain CT scans of stroke patients. $13M raised. UK based.
  • MD.AI: Annotation tool, algorithms and datasets.
  • Path.ai: AI in Pathology. $75M+ raised. Boston. General Catalyst.
  • AIDoc: $41.5M raised. Israel. FDA cleared. Analyzes CT exams for a suspected intracranial hemorrhage, then prioritizes workflow for radiologist
  • Densitas: FDA-cleared. $1.3M raised. Canadian. Assesses breast density (associated with increased risk of breast cancer) on digital mammograms.

Billing

  • Fathom Health: Applying AI and deep learning NLP to reimbursement. Formerly TinyRx (on-demand prescription delivery service, shut down in May 2016). Raised $7.7M. Google ventures included.
  • CloudMedX: $6.7M raised. Billing optimization.
  • Alpha Health: Ex-A16Z partner is founder. RCM focus. Stealth but most probably well funded. ?A16Z.

Therapy Discovery

  • Atomwise: Drug discovery using AI. Raised $6M+
  • Recursion Pharmaceuticals: Drug discovery using AI. $58M raised.
  • Benevolent.ai: AI for drug discovery and bioscience innovation in general. $140M raised. UK based.
  • GNS Healthcare: Machine learning applied for precision medicine. Solutions around patient segmentation, drug discovery. $43M raised.
  • Berg: Unknown funding. Therapy discovery using omics data.
  • Turbine: Cancer therapeutics using AI. Unknown funding. EU.
  • BioAge Labs Drug discovery related to aging. $10.9M Series A led by A16Z.
  • Qrativ: AI platform to identify treatments for rare diseases. $8.5M. Mayo Clinic.
  • Engine Bio: $10M Seed in Jan 2018.
  • Insitro: Founder is Stanford's Daphne Koller
  • Verge Genomics: $32M. DFJ.

Risk Stratification

  • KenSci: Risk stratification of patient populations using ML. UW Tacoma professor founder. $8.5M raised.
  • Lumiata: Healthcare risk management using AI. $20M raised. Khosla Ventures.
  • ClosedLoop.ai: Seed stage

Chatbots

  • Your MD: AI-driven chatbot that does lead gen for care services. $7.3M funded. London based.
  • Buoy: $2M raised. Adam Grant (Author) is founder.
  • Babylon Health: $25M raised. UK.
  • Elth: India-based
  • Orderly Health:
  • Bot MD: $700K seed. YCombinator. Steve Blank.
  • Ada: Germany based, funded. $69M+

Genomics

  • Deep Genomics: Using ML to predict effects of genetic variation on a disease context. $3.7M raised. Canadian.

Misc.

  • Cardiogram: Ex-google founders, applying deep learning to mobile health data. Backed by Andreessen Horowitz.
  • Neura: Using AI to optimize mobile apps and IoT devices for Med adherence. Interesting SDK approach. Raised $13M. Israeli team, located in Sunnyvale.
  • Enlitic: SF-based, $15M raised. Applying deep-learning to areas like triage, radiology, screening.
  • Deep6: AI-based text analysis of EHRs to find clinical trial candidates. ? Funding.
  • Digital Reasoning: Cognitive computing applied to industries. Healthcare focus. $73.9M raised.
  • PhysIQ: ML applied to biosignals to create a personal baseline. Selling to post-acute providers, pharma (clinical trials), wearable/device manufacturers. $11.9M raised.
  • DreaMed Diabetes: $5.3M raised from Medtronic. Closed-loop insulin delivery tech. CE mark for artificial pancreas.
  • Roam Analytics: ML platform for various applications in healthcare. $21M raised.
  • Hindsait: Various applications of NLP, ML in Healthcare. Unknown funding.
  • Precision Health AI: $20M Series A in 2017. Oncology treatment focus.
  • Carta: ML-based predictive models off of EHR data. Inpatient-focused. Funded by AMV.
  • Eko.ai: Stealth but something around Echocardiograms. Singapore.
  • Vital ER: AI-based ED operational flow insights (predict admissions, staffing needs, etc). Led by ex-Founder of Mint.com Aaron Patzer. $5.2M seed. DFJ, First Round. New Zealand based. Collaborate with Emory University.
  • Care.AI: IoT platform, focused on ROI-based use cases like hand sanitization, falls, pressure ulcers. Make their own hardware. based on Google Coral toolkit.
  • ClosedLoop.AI: Data science platform for healthcare. Model build/deployment made easier.
  • Owkin: Applying federated learning to medical research. $18M Series A. GV backed. European team/founders, but based in NYC.
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