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The Anjuna Seaglass platform simplifies deployment of confidential computing solutions and eliminates the need for changes to applications or existing infrastructure.",{"type":20,"tag":21,"props":39,"children":41},{"id":40},"aic-investment-in-anjuna-is-core-to-ai-enabling-and-cybersecurity-thesis",[42],{"type":20,"tag":26,"props":43,"children":44},{},[45],{"type":30,"value":46},"AIC Investment in Anjuna is core to AI-enabling and cybersecurity thesis",{"type":20,"tag":33,"props":48,"children":49},{},[50,52,61,63,70,72,79,81,88,90,97,99,106,108,115],{"type":30,"value":51},"Anjuna sits at the intersection of two of AIC’s six focus verticals, AI enablement and cybersecurity, and enhances data security, compliance, and access governance. Anjuna complements AIC’s AI enablers—",{"type":20,"tag":53,"props":54,"children":58},"a",{"href":55,"rel":56},"https://www.flex.ai/",[57],"nofollow",[59],{"type":30,"value":60},"FlexAI",{"type":30,"value":62}," (hardware acceleration), ",{"type":20,"tag":53,"props":64,"children":67},{"href":65,"rel":66},"https://exostellar.io/",[57],[68],{"type":30,"value":69},"Exostellar",{"type":30,"value":71}," (compute orchestration), and ",{"type":20,"tag":53,"props":73,"children":76},{"href":74,"rel":75},"https://www.hirundo.io/",[57],[77],{"type":30,"value":78},"Hirundo",{"type":30,"value":80}," (data provenance and unlearning) —and strengthens our cybersecurity portfolio, which features IBM-acquired ",{"type":20,"tag":53,"props":82,"children":85},{"href":83,"rel":84},"https://mediacenter.ibm.com/media/IBM+Security+ReaQta+Explained/1_l31z0vax",[57],[86],{"type":30,"value":87},"ReaQta",{"type":30,"value":89}," (endpoint detection and response), ",{"type":20,"tag":53,"props":91,"children":94},{"href":92,"rel":93},"https://www.deepinstinct.com/",[57],[95],{"type":30,"value":96},"DeepInstinct",{"type":30,"value":98}," (proactive attack prevention), ",{"type":20,"tag":53,"props":100,"children":103},{"href":101,"rel":102},"https://cornami.com/",[57],[104],{"type":30,"value":105},"Cornami",{"type":30,"value":107}," (fully homomorphic encryption), and ",{"type":20,"tag":53,"props":109,"children":112},{"href":110,"rel":111},"https://www.getvisibility.com/",[57],[113],{"type":30,"value":114},"GetVisibility",{"type":30,"value":116}," (data risk assessment).",{"type":20,"tag":33,"props":118,"children":119},{},[120,122,129,131,138],{"type":30,"value":121},"Anjuna’s technology is also vital for securing sensitive data for providers like ",{"type":20,"tag":53,"props":123,"children":126},{"href":124,"rel":125},"https://www.aidoc.com/eu/",[57],[127],{"type":30,"value":128},"Aidoc",{"type":30,"value":130}," (largest AI radiology company) and ",{"type":20,"tag":53,"props":132,"children":135},{"href":133,"rel":134},"https://proscia.com/",[57],[136],{"type":30,"value":137},"Proscia",{"type":30,"value":139}," (leader in AI digital pathology). With Anjuna, these AIC portfolio companies can collaborate with AI developers, granting granular access to previously unexploitable, regulated data without requiring applications or infrastructure overhaul.",{"type":20,"tag":21,"props":141,"children":143},{"id":142},"confidential-computing-secures-vast-network-of-global-ai-vendors-and-users",[144],{"type":20,"tag":26,"props":145,"children":146},{},[147],{"type":30,"value":148},"Confidential computing secures vast network of global AI vendors and users",{"type":20,"tag":33,"props":150,"children":151},{},[152],{"type":30,"value":153},"The Anjuna Seaglass platform simplifies confidential computing deployment and enables use of untrusted infrastructure for all the usual processing without fear of unauthorized data access. Even when dealing with sensitive data and a global network of vendors and customers, companies without security infrastructure for multi-party collaborations or leveraging cloud providers can use confidential computing to safely expand their scope.",{"type":20,"tag":33,"props":155,"children":156},{},[157],{"type":30,"value":158},"AI/ML’s rapid processing of large data volumes fundamentally heightens privacy risks. These systems require extensive training data (often aggregated from public and proprietary sources), operate as black boxes that are prone to inversion attacks which can reconstruct sensitive information from seemingly innocuous outputs, and can infer sensitive information from benign and disparate datapoints.",{"type":20,"tag":33,"props":160,"children":161},{},[162],{"type":30,"value":163},"As AI adoption grows, digital sovereignty becomes central to data security discussions within organizations managing data collection, use, and storage across a global network of vendors, employees, and users. In environments where every access point is a potential attack surface, Zero Trust principles of “never trust, always verify” become increasingly important and confidential computing is the breakthrough solution that moves one step closer to true Zero Trust in global AI collaboration.",{"type":20,"tag":21,"props":165,"children":167},{"id":166},"anjunas-simplicity-and-agility-shines-in-confidential-computing-market",[168],{"type":20,"tag":26,"props":169,"children":170},{},[171],{"type":30,"value":172},"Anjuna’s simplicity and agility shines in confidential computing market",{"type":20,"tag":33,"props":174,"children":175},{},[176],{"type":30,"value":177},"Anjuna’s Seaglass platform stands out in the emerging confidential computing market by offering a quick-start solution that is application-, hardware-, cloud-, and attestation type-agnostic. This platform reconciles the disparate requirements of various vendors, enabling secure multi-party AI collaboration without necessitating any application or infrastructure overhaul.",{"type":20,"tag":33,"props":179,"children":180},{},[181],{"type":30,"value":182},"Confidential computing uses Trusted Execution Environments (TEEs) to create secure enclaves within a processor’s memory. This ensures that data, applications, and processes remain encrypted and isolated from unauthorized access, even from system administrators, vendors, and collaborators. TEEs typically require significant application modifications to comply with different hardware and cloud provider policies, and attestation services—often provided by the same entities—can undermine digital sovereignty.",{"type":20,"tag":33,"props":184,"children":185},{},[186,188,195,197,204,205,212,213,220,221,228,230,237,239,246],{"type":30,"value":187},"Major cloud and hardware providers like ",{"type":20,"tag":53,"props":189,"children":192},{"href":190,"rel":191},"https://aws.amazon.com/ec2/nitro/nitro-enclaves/",[57],[193],{"type":30,"value":194},"AWS",{"type":30,"value":196},", ",{"type":20,"tag":53,"props":198,"children":201},{"href":199,"rel":200},"https://azure.microsoft.com/en-us/solutions/confidential-compute",[57],[202],{"type":30,"value":203},"Microsoft",{"type":30,"value":196},{"type":20,"tag":53,"props":206,"children":209},{"href":207,"rel":208},"https://cloud.google.com/security/products/confidential-computing",[57],[210],{"type":30,"value":211},"Google",{"type":30,"value":196},{"type":20,"tag":53,"props":214,"children":217},{"href":215,"rel":216},"https://www.intel.com/content/www/us/en/security/confidential-computing.html",[57],[218],{"type":30,"value":219},"Intel",{"type":30,"value":196},{"type":20,"tag":53,"props":222,"children":225},{"href":223,"rel":224},"https://www.amd.com/en/developer/sev.html",[57],[226],{"type":30,"value":227},"AMD",{"type":30,"value":229},", and ",{"type":20,"tag":53,"props":231,"children":234},{"href":232,"rel":233},"https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/",[57],[235],{"type":30,"value":236},"Nvidia",{"type":30,"value":238}," have heavily invested in confidential computing infrastructure and ",{"type":20,"tag":53,"props":240,"children":243},{"href":241,"rel":242},"https://www.anjuna.io/strategic-partners",[57],[244],{"type":30,"value":245},"partnered with Anjuna",{"type":30,"value":247}," because Anjuna’s Seaglass platform provides a one-command-line deployment that minimizes effort required to set up TEEs and migrate applications into secure enclaves.",{"type":20,"tag":33,"props":249,"children":250},{},[251,253,260],{"type":30,"value":252},"Anjuna offers a unified management console for runtime settings, security alerts, and key access policies. Additionally, for organizations with limited cybersecurity resources, Anjuna provides ",{"type":20,"tag":53,"props":254,"children":257},{"href":255,"rel":256},"https://www.anjuna.io/resources/anjuna-seaglass-ai-clean-rooms-white-paper",[57],[258],{"type":30,"value":259},"Seaglass AI Clean Rooms",{"type":30,"value":261},", further streamlining secure data-sharing and multi-party collaboration.",{"type":20,"tag":21,"props":263,"children":265},{"id":264},"_30-day-anjuna-seaglass-trial-for-aics-network",[266],{"type":20,"tag":26,"props":267,"children":268},{},[269],{"type":30,"value":270},"30-day Anjuna Seaglass trial for AIC’s Network",{"type":20,"tag":33,"props":272,"children":273},{},[274,276,283,285,292,294,301],{"type":30,"value":275},"Anjuna has a proven track record of successful deployments across sectors including financial services, healthcare, and government. ",{"type":20,"tag":53,"props":277,"children":280},{"href":278,"rel":279},"https://www.anjuna.io/case-studies/parfin",[57],[281],{"type":30,"value":282},"Parfin",{"type":30,"value":284}," utilized Anjuna to secure its digital asset custody system, enhancing security without compromising performance. Similarly, ",{"type":20,"tag":53,"props":286,"children":289},{"href":287,"rel":288},"https://www.anjuna.io/case-studies/international-bank",[57],[290],{"type":30,"value":291},"a major international bank",{"type":30,"value":293}," leveraged Anjuna to enhance its cloud services, improving customer experience and regulatory compliance while reducing costs. Additionally, ",{"type":20,"tag":53,"props":295,"children":298},{"href":296,"rel":297},"https://www.anjuna.io/blog/proud-moment-anjuna-closes-25m-to-continue-shaping-the-future-of-confidential-ai-and-secure-collaboration",[57],[299],{"type":30,"value":300},"Anjuna’s collaboration with Nvidia enabled the US Navy",{"type":30,"value":302}," to deploy LLMs in confidential environments within an hour while maintaining peak processing speeds and performance.",{"type":20,"tag":33,"props":304,"children":305},{},[306,308,314],{"type":30,"value":307},"Those in the AIC network are invited to experience Anjuna Seaglass, ",{"type":20,"tag":53,"props":309,"children":311},{"href":296,"rel":310},[57],[312],{"type":30,"value":313},"learn yourself how Anjuna can protect your sensitive data",{"type":30,"value":315}," and support your AI initiatives.",{"title":9,"searchDepth":317,"depth":317,"links":318},2,[319,320,321,322,323],{"id":23,"depth":317,"text":31},{"id":40,"depth":317,"text":46},{"id":142,"depth":317,"text":148},{"id":166,"depth":317,"text":172},{"id":264,"depth":317,"text":270},"markdown","content:blog:anjuna’s-confidential-computing-platform-maintains-digital-sovereignty-and-data-privacy-in-ai-collaborations.md","content","blog/anjuna’s-confidential-computing-platform-maintains-digital-sovereignty-and-data-privacy-in-ai-collaborations.md","blog/anjuna’s-confidential-computing-platform-maintains-digital-sovereignty-and-data-privacy-in-ai-collaborations","md",{"_path":331,"_dir":7,"_draft":8,"_partial":8,"_locale":9,"title":332,"description":333,"date":334,"author":13,"image":335,"category":15,"featured-post":8,"body":336,"_type":324,"_id":562,"_source":326,"_file":563,"_stem":564,"_extension":329},"/blog/why-we-invested-in-deepopinion","Why we invested in DeepOpinion","Revolutionizing Enterprise Agentic Automation with DeepOpinion","09.2024","/images/image.png",{"type":17,"children":337,"toc":560},[338,343,357,369,392,400,405,410,424,429,437,519,527,532,537,542,550,555],{"type":20,"tag":33,"props":339,"children":340},{},[341],{"type":30,"value":342},"At Alpha Intelligence Capital, we recognize that automating complex cognitive work is essential to driving the next wave of enterprise innovation. While AI's role in this area is still in its early stages, its transformative potential is undeniable.",{"type":20,"tag":33,"props":344,"children":345},{},[346,348,355],{"type":30,"value":347},"Today, we are thrilled to announce our investment in ",{"type":20,"tag":53,"props":349,"children":352},{"href":350,"rel":351},"https://www.deepopinion.ai/",[57],[353],{"type":30,"value":354},"DeepOpinion",{"type":30,"value":356},", a company at the forefront of revolutionizing enterprise automation with cutting-edge technology and an enterprise-grade approach to AI implementation.",{"type":20,"tag":33,"props":358,"children":359},{},[360,362,367],{"type":30,"value":361},"Founded in 2021, ",{"type":20,"tag":53,"props":363,"children":365},{"href":350,"rel":364},[57],[366],{"type":30,"value":354},{"type":30,"value":368}," has developed an AI platform that automates the processing of unstructured data, creating scalable, intelligent workflows for industries such as insurance, financial services, and telecommunications. The platform streamlines various back-office operations, from processing insurance claims to customer onboarding, significantly reducing manual workloads while delivering exceptional accuracy.",{"type":20,"tag":33,"props":370,"children":371},{},[372,374,381,383,390],{"type":30,"value":373},"As we increase our exposure to this field, we are fortunate to be guided by our advisor, ",{"type":20,"tag":53,"props":375,"children":378},{"href":376,"rel":377},"https://www.linkedin.com/in/babakhodjat/",[57],[379],{"type":30,"value":380},"Babak Hodjat",{"type":30,"value":382},", a pioneer in AI agent technology, ",{"type":20,"tag":53,"props":384,"children":387},{"href":385,"rel":386},"https://link.springer.com/chapter/10.1007/3-540-44564-1_1",[57],[388],{"type":30,"value":389},"who wrote about AI agents two decades",{"type":30,"value":391}," before most of us became familiar with the concept. Currently serving as the Head of AI at Cognizant, his insights have strengthened our conviction that DeepOpinion's approach is the right path forward.",{"type":20,"tag":33,"props":393,"children":394},{},[395],{"type":20,"tag":26,"props":396,"children":397},{},[398],{"type":30,"value":399},"DeepOpinion’s Technical Differentiation: Stability and Accuracy in AI",{"type":20,"tag":33,"props":401,"children":402},{},[403],{"type":30,"value":404},"The automation landscape is crowded with legacy solutions like Robotic Process Automation (RPA) and Business Process Automation (BPA), yet these technologies have consistently fallen short of delivering their promised benefits and have failed to scale beyond simple process automation. Many enterprises express dissatisfaction with RPA, with less than 50% achieving a satisfactory ROI. The core issue lies in these systems' lack of flexibility: bots are fragile, requiring constant upkeep, and most solutions are on-premises, making integration with modern cloud-based AI technologies challenging. They automate only the simplest tasks, and any deviation or complexity in workflows often leads to failure.",{"type":20,"tag":33,"props":406,"children":407},{},[408],{"type":30,"value":409},"DeepOpinion addresses these challenges directly with its cloud-native platform, which integrates seamlessly into existing workflows while leveraging advanced AI technologies. Its multi-agent engine doesn’t rely on static templates but instead learns dynamically from interactions. This adaptability enables the system to manage much more complex and varied tasks, avoiding the frequent breakdowns associated with traditional automation tools.",{"type":20,"tag":33,"props":411,"children":412},{},[413,415,422],{"type":30,"value":414},"One of the major pain points of deploying AI for enterprise automation is reliability and accuracy —especially crucial in sectors like financial services, where mistakes can be costly. DeepOpinion has placed a strong emphasis on ensuring the stability of large language models (LLMs), reducing the risk of infinite loops that plague other agent-based systems. The company has gone beyond conventional methods by developing its own algorithms for hallucination prevention and even ",{"type":20,"tag":53,"props":416,"children":419},{"href":417,"rel":418},"https://arxiv.org/pdf/2402.03848",[57],[420],{"type":30,"value":421},"creating proprietary benchmarks to measure LLM performance",{"type":30,"value":423},". This technical rigor is rare in the automation space and directly addresses a major barrier enterprises face in adopting AI-driven automation.",{"type":20,"tag":33,"props":425,"children":426},{},[427],{"type":30,"value":428},"Through its R&D efforts, the platform combines the power of LLMs sequencing with human-in-the-loop oversight, ensuring that even the most complex tasks are executed with precision through self-reflection mechanisms. This hybrid approach allows DeepOpinion to automate sophisticated processes that other systems have traditionally been unable to handle, delivering results that are not just automated but intelligently managed.",{"type":20,"tag":33,"props":430,"children":431},{},[432],{"type":20,"tag":26,"props":433,"children":434},{},[435],{"type":30,"value":436},"A world-class team with technical and domain expertise",{"type":20,"tag":33,"props":438,"children":439},{},[440,442,449,450,457,459,466,468,475,477,484,485,492,494,501,502,509,510,517],{"type":30,"value":441},"The founding team of DeepOpinion brings together a powerful blend of vision and expertise. ",{"type":20,"tag":53,"props":443,"children":446},{"href":444,"rel":445},"https://www.linkedin.com/in/sengl/",[57],[447],{"type":30,"value":448},"Stefan Engl",{"type":30,"value":196},{"type":20,"tag":53,"props":451,"children":454},{"href":452,"rel":453},"https://www.linkedin.com/in/stefan-ramershoven/",[57],[455],{"type":30,"value":456},"Stefan Ramershoven",{"type":30,"value":458}," and ",{"type":20,"tag":53,"props":460,"children":463},{"href":461,"rel":462},"https://www.linkedin.com/in/ahmed-ghanim-al-ali-phd-603a5563/",[57],[464],{"type":30,"value":465},"Ahmed Al-Ali",{"type":30,"value":467}," lead the company with a proven track record in transforming enterprise automation. Complementing the founders is an A-class technical team, including ",{"type":20,"tag":53,"props":469,"children":472},{"href":470,"rel":471},"https://www.linkedin.com/in/keremsozugecer/",[57],[473],{"type":30,"value":474},"Kerem Sozugecer",{"type":30,"value":476}," (who previously served as Head of Speech at Synthesia), ",{"type":20,"tag":53,"props":478,"children":481},{"href":479,"rel":480},"https://www.linkedin.com/in/stabinger/",[57],[482],{"type":30,"value":483},"Sebastian Stabinger",{"type":30,"value":458},{"type":20,"tag":53,"props":486,"children":489},{"href":487,"rel":488},"https://www.linkedin.com/in/david-peer-582556148/",[57],[490],{"type":30,"value":491},"David Peer",{"type":30,"value":493},", who impressed us with their ability to tackle practical research challenges and transform them into functional products. On the commercial front, industry veterans such as ",{"type":20,"tag":53,"props":495,"children":498},{"href":496,"rel":497},"https://www.linkedin.com/in/graeme-clark-90a1a32/",[57],[499],{"type":30,"value":500},"Graeme Clark",{"type":30,"value":196},{"type":20,"tag":53,"props":503,"children":506},{"href":504,"rel":505},"https://www.linkedin.com/in/chriszechmeister/",[57],[507],{"type":30,"value":508},"Chris Zechmeister",{"type":30,"value":196},{"type":20,"tag":53,"props":511,"children":514},{"href":512,"rel":513},"https://www.linkedin.com/in/hendrik-leitner-7040016/",[57],[515],{"type":30,"value":516},"Hendrick Leitner",{"type":30,"value":518},", who held key positions at BluePrism, UiPath, Automation Anywhere and other leading firms, have recently joined the team. We have been impressed by the founders' ability to attract and retain top-tier talent throughout the organization.",{"type":20,"tag":33,"props":520,"children":521},{},[522],{"type":20,"tag":26,"props":523,"children":524},{},[525],{"type":30,"value":526},"Proven Traction: Delivering Real-World ROI",{"type":20,"tag":33,"props":528,"children":529},{},[530],{"type":30,"value":531},"DeepOpinion isn’t just innovating in theory—their platform is already delivering real, measurable results across industries, with notable clients such as Allianz, Hannover Re, Siemens, e&, and BitPanda.",{"type":20,"tag":33,"props":533,"children":534},{},[535],{"type":30,"value":536},"For instance, a major player in the insurance sector had been struggling for years to automate complex, non-standardized document workflows. By partnering with DeepOpinion, the company achieved an impressive 90% accuracy in document processing, significantly reducing processing times.",{"type":20,"tag":33,"props":538,"children":539},{},[540],{"type":30,"value":541},"The platform’s impact goes beyond insurance. For a leading trading platform, DeepOpinion’s AI-driven approach cut customer onboarding efforts by 82%, with 80% straight-through processing (i.e., no-touch rate) while achieving 96% accuracy in KYC verification.",{"type":20,"tag":33,"props":543,"children":544},{},[545],{"type":20,"tag":26,"props":546,"children":547},{},[548],{"type":30,"value":549},"What’s Next: Scaling for the Future",{"type":20,"tag":33,"props":551,"children":552},{},[553],{"type":30,"value":554},"DeepOpinion is entering its next phase of growth, powered by an €11 million funding round co-led by Alpha Intelligence Capital and Red River West, with participation from existing investors Lunar Ventures and Stride VC. This new capital will fuel the further development of the company's latest product, enabling users to generate automated processes from simple natural language descriptions—a game-changer for ease of use and scalability.",{"type":20,"tag":33,"props":556,"children":557},{},[558],{"type":30,"value":559},"The company is expanding across various departments and actively hiring for a range of roles in technology, marketing, and product. For technical roles, we are particularly looking for individuals with expertise in applied R&D for LLMs and AI agents. If you're interested in working on ground-breaking projects and joining a rapidly growing team, we encourage you to connect with us or the DeepOpinion team.",{"title":9,"searchDepth":317,"depth":317,"links":561},[],"content:blog:why-we-invested-in-deepopinion.md","blog/why-we-invested-in-deepopinion.md","blog/why-we-invested-in-deepopinion",{"_path":566,"_dir":7,"_draft":8,"_partial":8,"_locale":9,"title":567,"description":568,"date":334,"author":13,"image":569,"category":15,"featured-post":8,"body":570,"_type":324,"_id":707,"_source":326,"_file":708,"_stem":709,"_extension":329},"/blog/why-we-invested-in-ovom-care","Why we invested in Ovom Care","AI-Powered Fertility: Democratizing Access to Parenthood","/images/ovom-image-vc.jpg",{"type":17,"children":571,"toc":705},[572,580,585,593,598,606,611,616,621,626,631,636,651,656,661,666,674,682,687,695,700],{"type":20,"tag":33,"props":573,"children":574},{},[575],{"type":20,"tag":26,"props":576,"children":577},{},[578],{"type":30,"value":579},"Eggs Come First",{"type":20,"tag":33,"props":581,"children":582},{},[583],{"type":30,"value":584},"As I inch towards my late 30s, I frequently find my girlfriends and I having conversations about egg-freezing, ovary age and IVF procedures. There were a couple of occasions where we agreed to reschedule drinks to avoid ovulation days. (I apologise to any Gen Z who do not find this future exciting). But if you are reading this in your 30s, I am sure you’d understand that in our vintages, “eggs” come first before anything else.",{"type":20,"tag":33,"props":586,"children":587},{},[588],{"type":20,"tag":589,"props":590,"children":592},"img",{"alt":9,"src":591},"/images/simpson-v2.gif",[],{"type":20,"tag":33,"props":594,"children":595},{},[596],{"type":30,"value":597},"Women are seeking to have more control over their reproductive choices. A lot of my friends have gone through egg-freezing, IVF and polycystic ovary syndrome (PCOS) treatment. I am very sympathetic towards all the doctors visits and hormonal roller coasters they had go through, whilst they handle their work and family concurrently. I couldn’t help but noticed a huge gap, where is the AI in my friends’ experiences? I would’ve expected highly accurate predictions of their hormonal levels, ovulation dates and fertilization success rate at their palm (well, in the form of an app).",{"type":20,"tag":33,"props":599,"children":600},{},[601],{"type":20,"tag":26,"props":602,"children":603},{},[604],{"type":30,"value":605},"Why the AI gap?",{"type":20,"tag":33,"props":607,"children":608},{},[609],{"type":30,"value":610},"As AI creeps into every aspect of our lives, it has yet to make a dent in the world of fertility & IVF. To simplify, there are 3 basic premises that one must satisfy in order for AI to work effectively, namely (1) abundance of high-quality data (2) computation power and (3) engineering talents. Amongst them, the lack of comprehensive data required to develop truly robust and accurate AI models is one of the major obstacles.",{"type":20,"tag":33,"props":612,"children":613},{},[614],{"type":30,"value":615},"Our team has spent a year tracking down various AI solutions in the fertility space, we identified a few hindering factors:",{"type":20,"tag":33,"props":617,"children":618},{},[619],{"type":30,"value":620},"-\tMost AI solutions are focusing solely on siloed applications (e.g., sperm/egg/embryo assessment using computer vision). But fertility is a holistic process that encompasses many areas of a women and a man’s life, a silo-ed solution limits the uplift to the overall fertilization prediction accuracy",{"type":20,"tag":33,"props":622,"children":623},{},[624],{"type":30,"value":625},"-\tStart-ups find it difficult to penetrate the well-established decades-old IVF process",{"type":20,"tag":33,"props":627,"children":628},{},[629],{"type":30,"value":630},"-\tPricing power is in the hands of their clinical partners",{"type":20,"tag":33,"props":632,"children":633},{},[634],{"type":30,"value":635},"To overcome these hurdles, the OVOM team has combined a hybrid model where they combine (1) digital-first fertility clinics and (2) most advanced AI software/solutions to work together synergistically, thereby proving their value in improving the overall reproductive prediction accuracy and the ability to collect high-quality data in the egg-freezing & IVF procedures through their clinical practice.",{"type":20,"tag":33,"props":637,"children":638},{},[639],{"type":20,"tag":26,"props":640,"children":641},{},[642,644],{"type":30,"value":643},"Introducing – ",{"type":20,"tag":53,"props":645,"children":648},{"href":646,"rel":647},"https://www.ovomcare.com/",[57],[649],{"type":30,"value":650},"OVOM Care",{"type":20,"tag":33,"props":652,"children":653},{},[654],{"type":30,"value":655},"Ovom Care represents our fund’s inaugural investment in the fertility space. Through our extensive discussions with numerous companies and industry experts, Ovom Care emerged as a standout due to its distinctive business model. The German-based fertility company focuses on both the development of their proprietary technology ecosystem (data utilization and value generation) and the provision of fertility care units (monetization and value capture).",{"type":20,"tag":33,"props":657,"children":658},{},[659],{"type":30,"value":660},"We believe that OVOM will be one of the first to complete a holistic and high-quality fertility data set for future AI-disruption, whilst doing so profitably by owning/controlling their own clinics.",{"type":20,"tag":33,"props":662,"children":663},{},[664],{"type":30,"value":665},"Ovom Care has successfully launched its pilot clinic in London in collaboration with its sister clinic, Avenues, which is able to support up to 1,800 IVF cycles per year. Their first fertility clinic, a much larger care unit in Portugal, with an expected capacity of 4,000 to 5,000 cycles per year is expected to open by Q4 2024. Whilst OVOM is still early in their development stage, their technology has shown promising early results, exceeding multiple industry benchmarks in lab performance, such as an IVF fertility rate of 88% compared to the industry standard of 75%, an ICSI fertility rate of 87% versus 80%, and a blastocyst formation rate of 63% compared to 60%.",{"type":20,"tag":33,"props":667,"children":668},{},[669],{"type":20,"tag":26,"props":670,"children":671},{},[672],{"type":30,"value":673},"The Rockstar Founders",{"type":20,"tag":33,"props":675,"children":676},{},[677],{"type":20,"tag":589,"props":678,"children":681},{"alt":9,"src":679,"title":680},"/images/ovom-care-team-v2.png","The founders of Ovom Care (from left) Cristina Hickman, Felicia von Reden and Lynae Brayboy",[],{"type":20,"tag":33,"props":683,"children":684},{},[685],{"type":30,"value":686},"Ovom was founded by an all-star female team: Felicia von Reden (CEO), Cristina Hickman (COO) and Lynae Brayboy (CMO), with a combined 40+ years of experience in fertility and innovation. Felicia is a 2x founder of neo-clinic startups, Lynae is a double-certified reproductive endocrinologist while Cristina is a clinical embryologist with 20+ years of experience and the “Godmother” of AI in fertility treatments, having built 13 IVF clinics and co-developed many of the current AI technologies applied in fertility medicine.",{"type":20,"tag":33,"props":688,"children":689},{},[690],{"type":20,"tag":26,"props":691,"children":692},{},[693],{"type":30,"value":694},"Conclusion",{"type":20,"tag":33,"props":696,"children":697},{},[698],{"type":30,"value":699},"AI transformation in the fertility space is a long process and we are excited to partner with Ovom Care on this journey. As the accuracy of Ovom’s models improve as more IVF cycles are being conducted and more data being collected from their clinical practice, there is an opportunity for Ovom Care to transition from being a clinic operator to providing their refined operating model for fertility clinics globally, setting a new standard for patient care. Join us in following Ovom’s journey and explore how AI can be used to enable parenthood for everyone.",{"type":20,"tag":33,"props":701,"children":702},{},[703],{"type":30,"value":704},"Written by Terry Chou (Partner at AIC) and Felix Foo (Associate at AIC).",{"title":9,"searchDepth":317,"depth":317,"links":706},[],"content:blog:why-we-invested-in-ovom-care.md","blog/why-we-invested-in-ovom-care.md","blog/why-we-invested-in-ovom-care",{"_path":711,"_dir":7,"_draft":8,"_partial":8,"_locale":9,"title":712,"description":713,"date":714,"author":13,"image":715,"category":15,"featured-post":716,"body":717,"_type":324,"_id":852,"_source":326,"_file":853,"_stem":854,"_extension":329},"/blog/why-we-invested-in-sixsense","Why we invested in SixSense","Beyond the Naked Eye: Unlocking Micro-Precision Chip Manufacturing","08.2025","/images/poster.jpg",true,{"type":17,"children":718,"toc":850},[719,727,750,758,763,768,776,781,786,794,808,813,827,837,842],{"type":20,"tag":33,"props":720,"children":721},{},[722],{"type":20,"tag":26,"props":723,"children":724},{},[725],{"type":30,"value":726},"The Surge in AI Demand: A Semiconductor Boom",{"type":20,"tag":33,"props":728,"children":729},{},[730,732,739,741,748],{"type":30,"value":731},"As we step in 2025, the world is experiencing an unprecedented surge in demand for computing chips, driven largely by the rapid evolution and deployment of artificial intelligence (AI) technologies. AI\napplications—ranging from generative AI to autonomous vehicles—require immense computational power, placing heavy demands on specialized semiconductor chips capable of handling complex calculations and processing vast datasets. According to a ",{"type":20,"tag":53,"props":733,"children":736},{"href":734,"rel":735},"https://www.deloitte.com/us/en/insights/industry/technology/technology-media-telecom-outlooks/semiconductor-industry-outlook.html",[57],[737],{"type":30,"value":738},"report ",{"type":30,"value":740},"published by Deloitte, the global semiconductor market, projected to surpass $1 trillion by 2030, is set to grow as AI becomes ubiquitous. The global ",{"type":20,"tag":53,"props":742,"children":745},{"href":743,"rel":744},"https://semiconductorinsight.com/report/global-semiconductor-visual-inspection-system-market/",[57],[746],{"type":30,"value":747},"semiconductor\nvisual inspection market",{"type":30,"value":749},", on the other hand, was valued at $850 million in 2024 and is projected to grow at a CAGR of 9% to $1.5b by 2030.",{"type":20,"tag":33,"props":751,"children":752},{},[753],{"type":20,"tag":26,"props":754,"children":755},{},[756],{"type":30,"value":757},"Semiconductor Manufacturing: Facing Critical Challenges",{"type":20,"tag":33,"props":759,"children":760},{},[761],{"type":30,"value":762},"Despite the surging demand for semiconductor chips, the industry is facing significant challenges as the chip manufacturing process is complex and time-consuming, with extremely low error margin. These constraints, combined with high costs and limited availability has created bottlenecks in meeting AI chip demands.",{"type":20,"tag":33,"props":764,"children":765},{},[766],{"type":30,"value":767},"Therefore, defect classification has become even more crucial in the production pipeline, as even a single misclassified defect can impact yield and throughput. Manufacturers must accurately identify and classify various defects to maintain efficiency and quality. With the increased data availability and algorithmic breakthroughs, advanced technologies like machine learning have started being implemented to improve this process, enhancing the yield performance and efficiency.",{"type":20,"tag":33,"props":769,"children":770},{},[771],{"type":20,"tag":26,"props":772,"children":773},{},[774],{"type":30,"value":775},"Artificial Intelligence (AI): The Key to Solving Semiconductor Challenges",{"type":20,"tag":33,"props":777,"children":778},{},[779],{"type":30,"value":780},"Computer vision (CV), a field of AI that focuses on enabling computers to “see” and interpret images and videos has already proven itself as a mature and indispensable technology in fields such as autonomous vehicles and physical security, where it enables real-time object recognition, tracking, and decision-making. However, semiconductor inspection has posed unique challenges that have historically limited the adoption of computer vision. The primary obstacles are (i) data scarcity and the (ii) scale and complexity of semiconductor\ndefects. Unlike other industries, semiconductor manufacturing generates highly specialized data, and a single wafer can contain billions of transistors, with defects occurring at microscopic scale and in highly variable patterns. These complexities have made defect detection and classification far more demanding than in most other CV applications.",{"type":20,"tag":33,"props":782,"children":783},{},[784],{"type":30,"value":785},"In recent years, we’ve witnessed an unprecedented convergence of enabling factors in the semiconductor visual inspection space: availability of high-resolution manufacturing data, major breakthroughs in deep learning algorithms and escalating demands for quality and yield. With a more mature advanced imaging system and digital infrastructure, AI models can finally be trained on sufficient datasets needed to detect even the rarest and most subtle defects—something traditional manual inspection methods cannot achieve.",{"type":20,"tag":33,"props":787,"children":788},{},[789],{"type":20,"tag":26,"props":790,"children":791},{},[792],{"type":30,"value":793},"SixSense: Revolutionizing Visual Inspection in Semiconductor Manufacturing",{"type":20,"tag":33,"props":795,"children":796},{},[797,799,806],{"type":30,"value":798},"At the intersection of AI and semiconductor manufacturing, ",{"type":20,"tag":53,"props":800,"children":803},{"href":801,"rel":802},"https://techcrunch.com/2025/07/31/female-founded-semiconductor-ai-startup-sixsense-raises-funding/",[57],[804],{"type":30,"value":805},"SixSense is a Singapore-based visual inspection platform",{"type":30,"value":807}," designed to address these challenges in the semiconductor industry. Powered by deep learning and\ncomputer vision, SixSense automates defect classification, offering a level of accuracy and efficiency far superior to traditional manual inspection (90% vs 70% in accuracy). The platform analyzes millions of images at high speed, detecting defects with exceptional precision while providing insights into their root causes. This capability not only reduces time and costs associated with quality inspection but also helps manufacturers avoid reputational and financial losses due to defective products.  ",{"type":20,"tag":33,"props":809,"children":810},{},[811],{"type":30,"value":812},"One of SixSense’s key differentiators is their strong partnerships with leading semiconductor foundries. By collaborating closely with these industry leaders, SixSense has secured privileged access to extensive, real-world defect image datasets covering a wide range of processes and tools. This access has empowered SixSense to train highly advanced models and deliver scalable, effective solutions for semiconductor inspection. With a superior performing solution, the company's AI system has now been adopted by major players in the industry, analyzing millions of production images annually across various processes, tools, and sites. ",{"type":20,"tag":33,"props":814,"children":815},{},[816,818,825],{"type":30,"value":817},"Founded in 2018 by two exceptional young founders, Avni Agrawal and Akanksha Jagwani, SixSense has grown from a small Singapore-based startup to serving some of the world's largest multinational semiconductor companies from the US, Europe, and Asia. Being headquartered in Singapore has given SixSense a strategic geographic advantage as the Asia Pacific region represents over ",{"type":20,"tag":53,"props":819,"children":822},{"href":820,"rel":821},"https://www.imarcgroup.com/semiconductor-foundry-market",[57],[823],{"type":30,"value":824},"71% ",{"type":30,"value":826},"of the global semiconductor market share as of 2024, with significant activities concentrated in East and Southeast Asia.",{"type":20,"tag":33,"props":828,"children":829},{},[830,835],{"type":20,"tag":26,"props":831,"children":832},{},[833],{"type":30,"value":834},"Why We Chose to Invest in SixSense",{"type":30,"value":836},"  ",{"type":20,"tag":33,"props":838,"children":839},{},[840],{"type":30,"value":841},"Our investment in SixSense stems from our belief in the transformative potential of AI to solve critical challenges in semiconductor manufacturing. As the demand for advanced computing chips continues to soar, solutions like SixSense will be crucial to meeting these needs while maintaining high standards of quality and efficiency. With the growth of AI across industries, we believe that solutions like SixSense will be increasingly\nprevalent as they are strategically positioned to optimize the \"fuel consumption\" of AI development. We look forward to partner with SixSense on this journey of exploring how AI can be used to drive the wider AI infrastructure space forward.",{"type":20,"tag":33,"props":843,"children":844},{},[845],{"type":20,"tag":589,"props":846,"children":849},{"alt":847,"src":848,"title":847},"Figure 1: SixSense's recent team offsite in Vietnam","/images/sixsense-2b.jpeg",[],{"title":9,"searchDepth":317,"depth":317,"links":851},[],"content:blog:why-we-invested-in-sixsense.md","blog/why-we-invested-in-sixsense.md","blog/why-we-invested-in-sixsense",[15],{"portfolio":857},{"items":858,"disabled":8},3,1775050898137]