{"id":15196,"date":"2024-03-21T09:27:29","date_gmt":"2024-03-21T14:27:29","guid":{"rendered":"https:\/\/datascience.uchicago.edu\/?post_type=pt_news&p=15196"},"modified":"2024-03-25T09:08:41","modified_gmt":"2024-03-25T14:08:41","slug":"transform-accelerator-announces-data-science-and-ai-startups-selected-for-cohort-3","status":"publish","type":"pt_news","link":"https:\/\/datascience.uchicago.edu\/news\/transform-accelerator-announces-data-science-and-ai-startups-selected-for-cohort-3\/","title":{"rendered":"Transform Accelerator Announces Data Science and AI Startups Selected for Cohort 3"},"content":{"rendered":"

The University of Chicago\u2019s Polsky Center for Entrepreneurship and Innovation<\/a> and Data Science Institute<\/a> Transform <\/a>accelerator for data science and AI startups has accepted seven early-stage companies into the third cohort of the program.<\/p>\n

Powered by the Polsky Center\u2019s Deep Tech Ventures<\/a>, Transform provides full-spectrum support for the startups accepted into the accelerator, including access to business and technical training, industry mentorship, venture capital connections, and funding opportunities.<\/p>\n

Transform is supported in part by corporate partners McAndrews, Held & Malloy, Ltd<\/a> and founding venture partner, True Blue Partners<\/a>, a Silicon Valley-based venture capital firm investing in early-stage AI companies, founded by Chicago Booth alum Sunil Grover, MBA \u201899.<\/p>\n

\u201cTransform is providing the fertile ground necessary to help incubate the next generation of market leaders,\u201d said Grover, who also is a former engineer with nearly two decades of experience helping build companies as an entrepreneur, investor, and advisor. \u201cAdvancements in deep tech present a unique interdisciplinary opportunity to re-imagine every aspect of the business world. This, I believe, will lead to creation of innovative new businesses that are re-imagined, ground up, to apply the capabilities these new technologies can enable.\u201d<\/p>\n

\u201cI am excited to welcome cohort three into Transform, this cycle was particularly competitive and we are delighted with the seven companies we selected,\u201d said Shyama Majumdar, director of Transform. \u201cWe have a good mix of healthcare, construction and manufacturing companies represented as we continue to see generative AI startups leading the way, which is reflected in this cohort. After the success of cohort 2, we are ready to run with cohort 3 and help pave their way to success.\u201d<\/p>\n

The seven startups that makeup cohort 3 will receive approximately $250,000 in total investment, including $25,000 in funding, credits for Google for Startups, workspace in the Polsky Exchange on Chicago\u2019s South Side, and access to industry mentors, technical advisors and student talent from the University of Chicago Department of Computer Science, Data Science Institute (DSI), and the Chicago Booth School of Business.<\/p>\n

\u201cThe continued success of Transform startups has been very encouraging,\u201d said David Uminsky<\/a>, executive director of the Data Science Institute. \u201cThe wide range of sectors this new cohort serves demonstrates AI\u2019s increasing impact on business.\u201d<\/p>\n

The accelerator launched <\/a>in Spring 2023 with its inaugural cohort and those startups are already seeing success. Echo Labs, a transcription platform in the previous cohort, has scaled up, hiring software engineers to meet the demand of partnerships with 150 universities to pilot their product. Blackcurrant, an online business-to-business marketplace for buying and selling hydrogen and member of the first cohort, recently was awarded a $250,000 co-investment<\/a> from the George Shultz Innovation Fund<\/a> after participating in the program. \u201cThe process proved to be immensely valuable as it allowed us to gain firsthand experience of how institutional investors evaluate and invest in seed-stage startups,\u201d said CEO and cofounder Akshay Thakur, MBA \u201924.<\/p>\n

Transform Cohort 3:\u00a0<\/b><\/h4>\n

Autonoma<\/b><\/a>: Autonoma engineers use generative AI to help development teams<\/a> observe and understand any codebase, avoid legacy code generation, and escape vendor lock-in traps. From any source code, Autonoma provides a platform with diagrams, analytics, and technical documentation automatically generated without human effort.<\/p>\n

Bettor Vision<\/b><\/a>: Bettor Vision syncs consumers’ sports betting, season-long fantasy, and daily fantasy sports accounts<\/a> on one platform. Bettor Vision also serves as a marketplace for sports betting and daily fantasy platforms, connecting operators to consumers who want to find the best odds and most profitable fantasy contests.<\/p>\n

Complete Wellness Solutions<\/b><\/a>: Complete Wellness Solutions delivers complete, configurable, and data-driven population health solutions<\/a> with its technology and analytics platform. The technology serves as the backbone for wellness program delivery while analytic capabilities enable targeted delivery and impactful health interventions. Complete Wellness Solutions\u2019 holistic approach eliminates the traditional silos constraining other health and wellness companies.<\/p>\n

Healee<\/b><\/a>: Healee\u2019s patient experience platform<\/a> enables independent specialty practices to offer their patients a convenient, differentiated, frictionless digital experience. With Healee\u2019s platform clinicians intuitively describe the desired experiences, digital care protocols, and provider preferences and the unique AI Copilot technology optimizes and automatically deploys an executable system.<\/p>\n

iTrials<\/b><\/a>: iTrials is an AI platform transforming clinical trial patient enrollment<\/a>. It precisely matches patient data to trial criteria, speeding up the process. By automating participant matching and reducing reliance on IT support and recruitment firms, iTrials accelerates drug development using advanced LLMs and knowledge graphs for scalable decision-making.<\/p>\n

Leaf Automation<\/b><\/a>: Leaf Automation develops next-generation AI-enhanced CAD plugins<\/a> that expedite and optimize the design of commercial electrical and mechanical systems. By using Leaf Automation\u2019s plugin, professionals can automate their most laborious design tasks to reduce the time, cost, and strain of engineering complex systems within popular CAD platforms like AutoCAD.<\/p>\n

Legman<\/b><\/a>: Legman is an AI-powered data management solution<\/a> that optimizes sales, general, and administrative (SG&A) activities for industrial, manufacturing, and construction firms. Legman synthesizes vital information with its proprietary AI engine to save teams time, money, and opportunity cost. The customer onboarding process is designed to be as easy as possible with options to connect to organizations through API, not data migration.<\/p>\n

 <\/p>\n

Republished from the University of Chicago, Polsky Center for Entrepreneurship and Innovation website<\/a>.<\/em><\/p>\n","protected":false},"featured_media":10164,"template":"","approaches":[],"applications":[],"news_types":[102],"yst_prominent_words":[1045,2196,230,445,186],"acf":[],"_links":{"self":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news\/15196"}],"collection":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news"}],"about":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/types\/pt_news"}],"version-history":[{"count":3,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news\/15196\/revisions"}],"predecessor-version":[{"id":15206,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news\/15196\/revisions\/15206"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/media\/10164"}],"wp:attachment":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/media?parent=15196"}],"wp:term":[{"taxonomy":"approaches","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/approaches?post=15196"},{"taxonomy":"applications","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/applications?post=15196"},{"taxonomy":"news_types","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/news_types?post=15196"},{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/yst_prominent_words?post=15196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}