Wing Venture Capital

Big news from our research team today! Orby AI has achieved a major breakthrough in enterprise automation. Using our proprietary generic agent and SAIL techniques, Orby AI agents can generalize across applications and adapt to new interfaces without manual intervention — eliminating brittle, task-specific automation. This means greater resilience, faster deployment, and more scalable automation for complex workflows. Learn more here: https://lnkd.in/dWggV565 #AIAgents #EnterpriseAutomation #OrbyAI

Historic day for builders in bio: We’ve open-sourced Vevo Therapeutics’ Tahoe-100M, largest single-cell atlas ever—by a wide margin—as the inaugural contribution to Arc Institute’s Virtual Cell Atlas, ready for download today. A leap forward for AI models of cells & drug discovery. We are open sourcing Tahoe-100M and teaming up with @arcinstitute to start a movement and to set a new standard. We believe that incremental, reductionist steps are not enough to push us beyond structural protein models and to usher us into the next inflection point in biology: in silico models of human cell, capable of discovering drug molecules that can cure diseased cells. For that, giant leaps are needed. Tahoe-100M sets a new bar. 100M single-cell data points, 60,000 drug-patient interactions, 50x larger than all public perturbative single-cell data combined - Built using Vevo's Mosaic platform. Tahoe-100M and scBaseCamp (an AI-curated repository of public single-cell data) power the Virtual Cell Atlas with 300M+ single-cell data points. This is a huge step towards removing the key bottleneck in building virtual models of cell: large-scale, single-cell data from diverse biological contexts, especially from diseased cells perturbed by drugs. We invite the entire ML & bio community to build with us Vevo Therapeutics and Arc Institute. Tahoe-100M is open. The Virtual Cell Atlas is here. Let’s take ambitious leaps—openly, boldly, and with urgency—to defeat debilitating diseases. It’s morning in biology. Let’s get to work. 🌅

Historic day for builders in bio: We’ve open-sourced Vevo Therapeutics’ Tahoe-100M, largest single-cell atlas ever—by a wide margin—as the inaugural contribution to Arc Institute’s Virtual Cell Atlas, ready for download today. A leap forward for AI models of cells & drug discovery. We are open sourcing Tahoe-100M and teaming up with @arcinstitute to start a movement and to set a new standard. We believe that incremental, reductionist steps are not enough to push us beyond structural protein models and to usher us into the next inflection point in biology: in silico models of human cell, capable of discovering drug molecules that can cure diseased cells. For that, giant leaps are needed. Tahoe-100M sets a new bar. 100M single-cell data points, 60,000 drug-patient interactions, 50x larger than all public perturbative single-cell data combined - Built using Vevo's Mosaic platform. Tahoe-100M and scBaseCamp (an AI-curated repository of public single-cell data) power the Virtual Cell Atlas with 300M+ single-cell data points. This is a huge step towards removing the key bottleneck in building virtual models of cell: large-scale, single-cell data from diverse biological contexts, especially from diseased cells perturbed by drugs. We invite the entire ML & bio community to build with us Vevo Therapeutics and Arc Institute. Tahoe-100M is open. The Virtual Cell Atlas is here. Let’s take ambitious leaps—openly, boldly, and with urgency—to defeat debilitating diseases. It’s morning in biology. Let’s get to work. 🌅

I’m excited to announce that Voyage AI has joined MongoDB. It’s clear that AI will reshape industries, companies, roles, and tasks. AI-powered applications will address a broad range of complex use cases that traditional software cannot. However, the risk of hallucinations currently holds enterprises back from deploying AI applications at scale. The challenge isn’t just complexity—it’s trust. AI models are probabilistic, meaning their outputs aren’t deterministic and predictable. This is easily evident in the hallucination problem in chatbots today and becomes even more critical with the rise of agents, where AI systems make autonomous decisions. These hallucinations typically occur when the AI model lacks sufficient understanding or context of data within an enterprise. Voyage AI’s embedding and reranking models dramatically improve accuracy through AI-powered search and retrieval. Their models are among the highest-rated on Hugging Face and are used by top AI companies like Anthropic, LangChain, Harvey, and Replit. By integrating these capabilities into MongoDB, we are making it easy for organizations to build trustworthy AI applications—without unnecessary complexity and cost. By bringing customers the power of world-class embedding and reranking models to our database, alongside our native lexical search and vector search capabilities, MongoDB is redefining what’s required of a database in the AI era. Read more here: https://lnkd.in/e4WXDcpJ

I’m excited to announce that Voyage AI has joined MongoDB. It’s clear that AI will reshape industries, companies, roles, and tasks. AI-powered applications will address a broad range of complex use cases that traditional software cannot. However, the risk of hallucinations currently holds enterprises back from deploying AI applications at scale. The challenge isn’t just complexity—it’s trust. AI models are probabilistic, meaning their outputs aren’t deterministic and predictable. This is easily evident in the hallucination problem in chatbots today and becomes even more critical with the rise of agents, where AI systems make autonomous decisions. These hallucinations typically occur when the AI model lacks sufficient understanding or context of data within an enterprise. Voyage AI’s embedding and reranking models dramatically improve accuracy through AI-powered search and retrieval. Their models are among the highest-rated on Hugging Face and are used by top AI companies like Anthropic, LangChain, Harvey, and Replit. By integrating these capabilities into MongoDB, we are making it easy for organizations to build trustworthy AI applications—without unnecessary complexity and cost. By bringing customers the power of world-class embedding and reranking models to our database, alongside our native lexical search and vector search capabilities, MongoDB is redefining what’s required of a database in the AI era. Read more here: https://lnkd.in/e4WXDcpJ