New Videos: Review the FEI25 Collective Intelligence Startup Competition Finalists
Introducing The Collective Intelligence Startup Competition Finalists
Accelidea, www.accelidea.com
Accelidea is a multi-agent AI platform that automates up to 80% of the regulatory, quality, and engineering workflows required to bring a medical device to market. Today, a typical Class II device takes 3.5 years to reach market, involving 16+ functional roles and over 5,000 handoffs. Even the most experienced teams are buried in fragmented tools, siloed processes, and repetitive manual documentation. These delays cost companies millions and most importantly, delay life-saving technologies from reaching patients. Unlike traditional tools, we’re not just digitizing forms. We’re building a system that thinks, flags gaps, and accelerates iteration. It’s the revolutionizing infrastructure layer for smarter, safer, faster medical innovation.
Ada IQ, www.adaiq.com
At Ada IQ, we’re reimagining how consumer products are designed. Our AI platform blends human intelligence with deep data to help companies move from idea to validated product concepts—faster and with greater confidence. We specialize in the front-end of product development.
Our platform captures and interprets human inputs—like sketches, feedback, trends, and market signals—and turns them into product concepts that are both creative and practical. It’s like giving every design team a strategic co-pilot: one that sees hidden patterns, connects the dots, and surfaces ideas worth pursuing.
Ada IQ is for teams who want to design smarter, faster, and with the consumer in mind from day one. This is product innovation—supercharged by AI and guided by human creativity.
Caid, https://www.linkedin.com/company/ca-id
At Caid, we’re redefining how digital meets the physical. Our AI tool transforms natural language into precise, adaptable computer-aided designs—enabling quick physical prototyping for industries, maker-spaces, and research and development laboratories. Conventional CAD tools can be laborious and time-intensive, frequently resulting in users having only a faint idea of their design. Caid fills that void by utilizing distinct human tacit knowledge and merging it with advanced machine intelligence, unleashing the potential of collaborative intelligence.
At the heart of our mission is the belief that human experience, intuition, and creativity—when collaborating with Caid—can achieve results neither could alone. Join us in reshaping the physical design landscape to anyone, anywhere.
Coworked, https://coworked.ai
Coworked is transforming project management by pioneering AI solutions that empower teams to achieve more with less effort. Our flagship product, Harmony, is the most comprehensive AI Project Manager coworker designed to take on PM tasks, enabling project managers to focus on strategic leadership and innovation. Built on a proprietary agentic AI framework, Harmony integrates seamlessly with popular project management and communication tools, operating as an autonomous team member. With a mission to make enterprise change as seamless as day-to-day operations, Coworked is dedicated to enhancing project efficiency, reducing costs, and helping organizations realize the full potential of their project management capabilities.
Gigabug Computer, https://gigabug.org
We research and develop novel physics-based computer architectures to address the ever-increasing energy demand for AI workloads. We aim to have the first commercially available integrated circuit to accelerate adoption and push algorithm development for this emerging technology. Our product is an AI accelerator that can easily interface with modern classical computers, offering an ultra-low-power drop-in replacement. By utilizing physics as a natural compute resource, we can unlock several orders of magnitude improvements in energy consumption and runtime over classical digital processors (CPUs/GPUs/FPGAs). Our device will target combinatorial optimization and generative machine learning problems, which are at the forefront of all major commercial industries.
Kathalyst, https://www.kathalyst.ai
Kathalyst is an AI-powered platform that eliminates the biggest barrier to modernization—understanding legacy systems. Our technology automates documentation, system visualization, and semantic code conversion, giving companies a clear roadmap to transition away from outdated software. Instead of relying on expensive consultants or risky, manual rewrites, enterprises can now reduce costs, mitigate risks, and confidently upgrade to modern technology with a structured, automated approach. By making legacy software modernization faster, more reliable, and scalable, Kathalyst is redefining how enterprises future-proof their technology.
Neoclease, https://www.neoclease.ai/
Neoclease builds new nucleases as genetic medicines, each individually designed to target a specific gene. Our differentiated approach is enabled by our generative AI model and evaluation pipeline, trained on millions of known nucleases, overcoming today’s barriers to gene editing. We engineer safer, more precise, and efficient genetic medicines. We’re currently validating our first nucleases for Parkinson’s disease with an approach that could be the first therapeutic to slow or fully halt progression of the disease.
Neoclease’s platform is scalable across multiple diseases, creating a new class of gene editors tailored for precise, disease-specific interventions. Our AI-driven pipeline allows for rapid development of novel gene therapies, addressing previously untreatable conditions. With applications spanning neurology, rare diseases, and oncology, we are building the foundation for the next generation of genetic medicines.
Parrots AI, https://www.flyparrots.com/
Parrots is an AI-powered platform revolutionizing Alzheimer’s care through real-time cognitive monitoring, early detection, and personalized caregiver support. Today, over 55 million people globally live with Alzheimer’s and related dementias, yet current care models rely on infrequent clinical assessments, generic therapies, and overwhelmed caregivers—resulting in delayed interventions, unnecessary hospitalizations, and rising costs.
Parrots transforms this model by using multimodal AI to analyze speech patterns, cognitive engagement, behavior, and wearable data to detect subtle signs of cognitive decline. Our platform delivers daily, personalized cognitive exercises and provides real-time alerts and insights to caregivers and clinicians through intuitive dashboards. This enables early, proactive care decisions and reduces the burden on families and the healthcare system.
Rayo, https://therayo.com
Rayo is an empathetic AI platform transforming digital accessibility by seamlessly bridging user empowerment and business compliance, unlocking a $13T global disability market. Today, 98% of websites remain inaccessible, excluding 400M+ people from jobs, education, and essential services. Current solutions—clunky plugins, slow audits, or niche tools—fail to address both user needs and enterprise compliance.
Rayo changes this with context-aware AI that dynamically adapts digital experiences in real-time. For users, Rayo personalizes interfaces: simplifying layouts, enabling voice/gesture controls, and guiding complex tasks—empowering those with visual, physical, or cognitive disabilities to navigate independently. For businesses, our AI auto-fixes compliance gaps (e g , alt-text, keyboard navigation), generates audit reports, and mitigates legal risks while tapping into an underserved market.
Tangify Corporation, https://tangify.co/
Corporate legal departments already run lean. Now they’re under pressure to cut headcount and still do more with less. Patent programs are especially painful to manage. They require specialized expertise to spot what’s actually patentable, and depend on coordination with senior leaders to make IP decisions. The process of identifying inventions is slow and manual: engineers have to fill out forms, sit through trainings, and attend regular discussions with IP specialists.
Tangify is an agentic AI platform that helps corporate legal teams scale patent discovery – without adding headcount. The platform plugs into existing inventor workflows and reads documents they’re already producing, like engineering specs, meeting notes, jira tickets, marketing whitepapers, etc. It then automatically finds and surfaces overlooked inventions; adds clear, relevant analysis for every invention; supports rapid decision-making; instantly generates supporting patent documentation; and turns scattered technical insights into actionable IP assets at scale.
The Ostrea Cultura Co., https://ostreacultura.com/
Misinformation is a threat to online platforms. It harms users, turns off partners, and exposes platforms to significant regulatory risks. However, there is no way to automatically detect misinformation in real-world contexts. That’s why we, a misinformation researcher and one of the architects of Birdwatch, put our heads together to come up with a solution. We solve the problem by combining human expertise, traditional machine learning, and generative AI into a set of core services for platforms to address misinformation, around misinformation policy, detection, and interventions on platforms ranging from social media to web hosting and parental control. We tap into experts and open-source repositories of misinformation to create a database of false claims. We then use human intelligence and generative AI to create a model that checks any text against this database.
Xtory, www.xtory.ai
Clinical decision-making in the emergency department (ED) is complex, time-sensitive, and prone to errors, leading to poor outcomes, and unnecessary costs ($3.4 B / year in waste). More than 50% of ED visits result in $ loss to hospitals across the U.S. Improving clinical decision-making in the ED leads to increased operational efficiency, optimized workflows, better patient care, and lower healthcare costs.
Xtory is building an AI-powered clinical decision support platform that combines large medical language models with predictive neural networks to help ED clinicians make accurate and timely decisions – our technology enhances clinical judgment while ensuring protocol compliance, improving patient outcomes, and reducing healthcare costs.
yc0n1c, (We are in stealth mode, but can demo the website at anytime.)
Imagine an AI driven, permissionless world where startups don’t chase or pitch for capital—they earn it via validated traction. Where that traction—not talk—unlocks resources. That’s yc0n1c, the global operating system for venture capital and scalable startups—a decentralized infrastructure where every startup is powered by proof, not speculation. Our core is powered by AI-based decision making (yc0n1c), innovative smart contract technology, unified tokenomics and DAO validators. yc0n1c is a living, breathing, on-chain ecosystem where founders, investors, builders, and validators co-create value through programmable smart contract incentives, transparent governance, and an unstoppable feedback loop of traction and trust.
New Videos: Review the FEI25 Collective Intelligence Startup Competition Finalists
Why Collective Intelligence?
Collective intelligence arises from the fusion of human and machine intelligence for results neither could achieve alone. FEI 2025 showcases seed-stage startups that leverage uniquely human tacit knowledge within their AI solutions. By understanding how these new AI offerings are shaped by human experience and intuition, organizations can unlock the power of collective intelligence.
Startups are judged on:
- Prominent Feature of Human Intelligence as an input
- Impact and relevance to cross-industry corporates
- Level of dependence on external ecosystem
- Disruptiveness/Degree of Difficulty
- Degree of technical feasibility
- Customer Desire-ability
- Business viability
The judges for the 2025 FEI Seed Stage Startup Competition include Keith Crossland, CEO & Co-Founder at Carbon Negative Solutions; Carley Hart, Director of Corporate Partnerships, Runway Startups at Cornell Tech; Andre Magni, Data & AI Leader at Microsoft; Arvind Balasundaram, Executive Director, Commercial Insights & Analytics at Regeneron Pharmaceuticals; Leslie Shannon, Head of Trend and Innovation Scouting at Nokia; Rachel Levy, AI Innovation Engineering Lead at Google; and June Dershewitz, Co-Founder at InvestInData.
