{"id":99201,"date":"2026-07-07T18:25:28","date_gmt":"2026-07-07T18:25:28","guid":{"rendered":"https:\/\/www.europesays.com\/ch\/99201\/"},"modified":"2026-07-07T18:25:28","modified_gmt":"2026-07-07T18:25:28","slug":"exclusive-how-a-swiss-pharma-got-to-octozis-cap-table-before-any-us-vc-did-tfn","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ch\/99201\/","title":{"rendered":"Exclusive: How a Swiss pharma got to Octozi&#8217;s cap table before any US VC did \u2014 TFN"},"content":{"rendered":"<p>Octozi has raised $3 million in seed funding led by Surface Ventures, with Remarkable Ventures joining, adding to an earlier, undisclosed investment from Debiopharm\u2019s venture arm. <\/p>\n<p>The New York company\u2019s founder built the case for the round on Swiss pharma backing and a Roche presentation in Basel. <\/p>\n<p>A peer-reviewed study found that the platform\u2019s AI assistance increased data-cleaning throughput by 6.03-fold and could save $5.1 million on a representative Phase III oncology trial.<\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/amitrpatel\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Amit Patel<\/a> worked for years on products at Google and Meta, including a security project at Google X that Google later brought back in-house. When he started his own company, he decided not to build another enterprise SaaS business. Instead, he used what he learned from his family of doctors and relatives who work in clinical trials.<\/p>\n<p>\u201cThat kind of process still relies heavily on people, contract research organisations, and spreadsheets,\u201d Patel tells Tech Funding News. He points out that clinical development is still the main part of drug discovery, where AI is not widely used. <\/p>\n<p><a href=\"https:\/\/octozi.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Octozi<\/a> wants to change that. The company has raised $3 million in seed funding led by Surface Ventures, with Remarkable Ventures also joining in. This follows an earlier, undisclosed pre-seed round from the venture arm of Swiss pharmaceutical company Debiopharm.<\/p>\n<p>Swiss pharmaceutical investment came first<\/p>\n<p>Most US healthtech AI startups secure funding at home before seeking European investors. Octozi did things differently. <\/p>\n<p>Debiopharm\u2019s Innovation Fund invested in Octozi at the pre-seed stage, before any US investors joined. The fund stayed involved as Octozi joined its Basel-based Day One accelerator and presented at Roche\u2019s headquarters in December.<\/p>\n<p>\u201cThey\u2019ve been a very collaborative partner and have provided valuable feedback. They also helped us understand what is required to make European pharma companies comfortable with adopting an AI solution,\u201d Patel says of Debiopharm. <\/p>\n<p>Debiopharm\u2019s fund has invested in many European life sciences AI companies. For example, it <a href=\"https:\/\/techfundingnews.com\/this-french-startup-scores-e15-5m-funding-to-speed-up-drug-discovery-with-ai\/\" rel=\"nofollow noopener\" target=\"_blank\">co-led a Series A round in the French drug-discovery startup Iktos<\/a>, which raised 15.5 million euros. This network gave Octozi something most first-time US seed investors cannot offer: early connections with European pharma sponsors before raising any institutional venture capital.<\/p>\n<p>What the software actually does<\/p>\n<p>Octozi brings together data from a trial\u2019s electronic data capture system, safety database, and clinical trial management system. It uses more than 100 models designed for each sponsor\u2019s protocol. <\/p>\n<p>For example, it can distinguish between an expected drop in platelets after chemotherapy and issues that warrant closer review. A human reviewer is always involved. Patel stresses that this is not a fully automated system. <\/p>\n<p>\u201cIt\u2019s very much a human-in-the-loop system, because sponsors need that visibility, traceability, and accountability,\u201d he says.<\/p>\n<p>This approach is different from those of established companies in clinical data visualisation. Patel points out that those companies focus on dashboards rather than fixing data issues. Octozi is also more focused than startups like Perceptic, which raised $12 million this year for a platform that covers everything from drug discovery to trial design. Octozi sticks to the data-operations layer.<\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/gyankapur\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Gyan Kapur<\/a>, managing partner at Surface Ventures, frames the wager in economic terms: \u201cIt costs a pharmaceutical company roughly $2 billion in clinical research and development to get an approved drug to market. We believe [sponsors] are best enabled not by an all-purpose tool that is prone to hallucination and failure, but with purpose-built tooling around the tasks they have to do during the clinical development process.\u201d<\/p>\n<p>The numbers behind the pitch<\/p>\n<p>A peer-reviewed study by Patel, chief technology officer <a href=\"https:\/\/www.linkedin.com\/in\/matthew-purri\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Matt Purri<\/a>, and chief medical officer <a href=\"https:\/\/www.linkedin.com\/in\/edeurell\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Erik Deurell<\/a> found that using AI made data cleaning six times faster, lowered error rates from 54.67% to 8.48%, and reduced false-positive queries by more than 15 times. Economic modelling of a Phase III oncology trial estimated potential savings of $5.1 million, primarily because the database could be locked more quickly.<\/p>\n<p>Patel says the funding round closed quickly because of these results, not just because the deal moved fast. \u201cBy the time we went for the seed round, we\u2019d deployed Octozi on multiple Phase III studies and demonstrated clear impact. The platform reduced a process that would have taken 10 months down to one month,\u201d he adds.<\/p>\n<p>The company now has four team members and will soon add a fifth. More engineers are expected to join this year. The new funding will help with hiring and expanding Octozi\u2019s use in Phase III trials, the largest and most complex part of clinical development.<\/p>\n<p>The clinical data management market is expected to grow from $4.04 billion in 2026 to <a href=\"https:\/\/www.insightaceanalytic.com\/report\/global-clinical-data-management-systems-market\/1337\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">$10.89 billion by 2035<\/a>, with an annual growth rate of 11.64%. This growth comes from more complex trials and tougher regulations. TFN has reported before that <a href=\"https:\/\/techfundingnews.com\/startups-precision-medicine-ai\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Swiss<\/a><a href=\"https:\/\/techfundingnews.com\/startups-precision-medicine-ai\/\" rel=\"nofollow noopener\" target=\"_blank\"> and European life-sciences investors<\/a> are leading the way in precision medicine and clinical AI deals, ahead of US investors. Octozi\u2019s funding fits this trend.<\/p>\n<p>It is still unclear whether corporate strategic investors will continue to move faster than US institutional VCs in bringing regulated healthtech AI to proof of concept. Octozi is just one example, not a final answer.<\/p>\n","protected":false},"excerpt":{"rendered":"Octozi has raised $3 million in seed funding led by Surface Ventures, with Remarkable Ventures joining, adding to&hellip;\n","protected":false},"author":2,"featured_media":99202,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_share_on_mastodon":"0"},"categories":[4],"tags":[2252,197,1750,1202,1751,41,17,714],"class_list":["post-99201","post","type-post","status-publish","format-standard","has-post-thumbnail","category-switzerland","tag-ai","tag-europe","tag-funding","tag-news","tag-startups","tag-swiss","tag-switzerland","tag-us"],"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@ch\/116880102374131120","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/posts\/99201","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/comments?post=99201"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/posts\/99201\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/media\/99202"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/media?parent=99201"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/categories?post=99201"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ch\/wp-json\/wp\/v2\/tags?post=99201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}