[ { "id": 1551, "name": "Indee Labs", "slug": "indee-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac1b20e8e540ce71927b19ed6cbc32f9956f9290.png", "website": "http://www.indeelabs.com", "all_locations": "San Francisco, CA, USA; Berkeley, CA, USA", "long_description": "Intracellular delivery is the most problematic step in T cell immunotherapy discovery, development and manufacturing. Indee Labs is developing a non-viral intracellular delivery system based on microfluidic vortex shedding (µVS) to rapidly deliver nucleic acids, proteins and gene editing complexes to patient and donor T cells with minimal perturbation.", "one_liner": "Enabling T cell immunotherapy discovery, development and manufacturing", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1481766629, "tags": [ "Gene Therapy", "Microfluidics", "Cell Therapy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/indee-labs", "api": "https://yc-oss.github.io/api/batches/winter-2017/indee-labs.json" }, { "id": 1655, "name": "PreDxion Bio", "slug": "predxion-bio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/519a74fb089a6c9dd854328b8022c68e00467972.png", "website": "http://www.predxionbio.com", "all_locations": "South San Francisco, CA, USA", "long_description": "PreDxion Bio is working on a rapid saliva-based antigen test for the detection of SARS-CoV-2 S-protein in asymptomatic and presymptomatic patients. Our technology is uniquely capable of being scaled to 10's of millions of tests of days using semiconductor fab processes, a scale of testing necessary to better inform public health officials and policymakers and enable contact tracing at scale.\r\n\r\nPreDxion Bio's origins are in critical care: our original technology is a rapid, near real-time cytokine and biomarker detection platform to monitor the immune response of critically-ill patients. This technology leverages a novel sensor platform we spun out of the University of Michigan. PreDxion Bio has received FDA Breakthrough Device designation and partnered with top pharmcos to monitor the immune response following CAR-T therapy and predict the development of cytokine release syndrome and neurological AEs, and for use in guiding precision medicine approaches in critical care.", "one_liner": "Rapid, scalable diagnostic for SARS-CoV-2 and beyond", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Diagnostics", "launched_at": 1493740320, "tags": [ "Microfluidics", "Nanosensors", "COVID-19" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2017", "status": "Inactive", "industries": [ "Healthcare", "Diagnostics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/predxion-bio", "api": "https://yc-oss.github.io/api/batches/summer-2017/predxion-bio.json" }, { "id": 1791, "name": "Correlia Biosystems", "slug": "correlia-biosystems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d9aad85e9ea2a3b4df72a9807d29b7536bcb76ce.png", "website": "http://www.correliabio.com", "all_locations": "Berkeley, CA, USA", "long_description": "Correlia Biosystems is a UC Berkeley spinoff company based in Berkeley, CA. Correlia develops innovative microscale tools that accelerate rapid quantification of biomolecules.\r\n\r\nOur versatile \"SimpleScan\" technology opens up new biological questions from one microliter of sample, with rapid results that allow for dynamic monitoring of protein expression profiles (rather than simple end-point measurement). Applications range from enabling next-gen proteomic data sets to point-of-care diagnostics.", "one_liner": "Next-gen blood testing to provide 1000x more data to pharma companies", "team_size": 16, "industry": "Healthcare", "subindustry": "Healthcare -> Diagnostics", "launched_at": 1510027355, "tags": [ "Hardware", "Lab-on-a-chip", "Microfluidics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Inactive", "industries": [ "Healthcare", "Diagnostics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/correlia-biosystems", "api": "https://yc-oss.github.io/api/batches/winter-2018/correlia-biosystems.json" }, { "id": 24450, "name": "Astek Diagnostics", "slug": "astek-diagnostics-inc", "former_names": [ "Astek Diagnostics LLC" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cc751641f3edca70063a728f7fc978cc2df8169.png", "website": "http://astekdx.com", "all_locations": "Baltimore, MD, USA", "long_description": "Astek Diagnostics is building a platform (Eugris) that guides physicians in prescribing appropriate antibiotics for patients with bacterial sepsis in one hour. It is done by detecting the oxygen consumption of the bacteria", "one_liner": "One-hour antibiotic sensitivity testing", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Diagnostics", "launched_at": 1625157553, "tags": [ "Microfluidics", "Medical Devices" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Healthcare", "Diagnostics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/astek-diagnostics-inc", "api": "https://yc-oss.github.io/api/batches/summer-2021/astek-diagnostics-inc.json" }, { "id": 28112, "name": "Persist AI", "slug": "persist-ai", "former_names": [ "Persist AI", "Persist AI Formulations Corp" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eeb1e38a6ca6e6061c101deae73f22c28c142596.png", "website": "http://www.persist-ai.com", "all_locations": "Woodland, CA, USA", "long_description": "It takes 5 years for pharma to develop long lasting drug injections for chronic diseases like cancer and diabetes. Persist uses AI-driven automation to reduce formulation development time down to 2 years, a ~50% reduction.", "one_liner": "Developing long-lasting drug formulations 50% faster", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1671420729, "tags": [ "Machine Learning", "Robotics", "Microfluidics", "Nanotechnology", "Therapeutics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": true, "demo_day_video_public": true, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/persist-ai", "api": "https://yc-oss.github.io/api/batches/winter-2023/persist-ai.json" } ]