Lawrence Lou

Were building the worlds most automated AI lab. Our objective is to build systems that optimize and automate work, starting with research itself. We dont think the next step change in AI will come from scaling the current recipe: larger models, more data, static deployment. Were pursuing new learning algorithms that supersede large-scale pretraining and reinforcement learning, and architectures that scale better than transformers. — We think the next wave of frontier research will come from small teams with highly capable agents. Were building the lab around that bet from day one. We start by automating our own work. That makes room for more ambitious and creative work, which reveals the next thing to automate. What we learn feeds back into the research. — If were right, small teams with powerful AI systems will take on work that once required entire organizations. Much of the current conversation around AI assumes it will mostly help existing institutions operate more efficiently. Were excited by the larger shift: a world where far more people can pursue ambitious work without first building an organization or raising capital. A corner store with the logistical capabilities of a multinational corporation. A small workshop with demand from around the world. A project that starts in a group chat and grows far beyond its origins. Were building the research, systems, and operating model to make this possible for more people. — Our team brings together people who have helped build frontier models, state-of-the-art optimization methods, influential architectures, multimodal agents, and the low-level systems those advances depend on. Were building a small lab with the range to rethink neural network architecture from scratch – the kind of bet that gets harder to make the more you have to scale – and the systems engineering depth to prove it out.

Real world. Real intelligence.

Quotr is an AI-powered construction estimation, takeoff, and procurement platform designed for subcontractors, general contractors (GCs), and developers. The platform automates construction estimating workflows and provides access to factory-direct materials at 40-50% below retail pricing. Primary Users: 2-10 seat subcontractor teams, general contractors, and real estate developers Founded: Construction technology company specializing in AI automation Website: http://quotr.io Core Technology: AI-powered takeoff automation, cost estimation engine, and procurement matching system

Orion transforms devices into autonomous, networked agents that think, communicate, and collaborate—enabling seamless execution of complex multi-device workflows without manual intervention.

HireyAI - AI Job Assistant for Houston Caregivers. Text HireyAI, Interview with Recruiters. HireyAI is the AI job assistant for Houston caregivers, revolutionizing how caregivers find jobs and how employers find talent. We leverage simple text messaging and AI technology to cut through the noise of traditional job boards, facilitating real human connections. No app download, no resume upload, your next hire or job is just a text away.

Re-imagining the marketing function in an AI-native era, automate your content marketing Y Combinator, Pelion Venture, Blast Club, Transpose Platform, Progressive Venture, Wefunder (Capitalized Fund), Mindworks Capital, and more

Scam AI is a product of Reality. Inc. It protects organizations from the new generation of Al fraud—deepfakes, voice clones, phishing, and more. Our platform combines real-time detection APIs, GenAI-aware red teaming, and closed-loop training feedback to catch threats that legacy systems miss. We secure onboarding, communication, and internal workflows through multimodal, channel-agnostic detection, simulation-based employee testing, and models finetuned to each organization’s unique risk profile. As Generative AI scams scale rapidly, we help enterprises stay one step ahead—because defense must evolve faster than deception

Sprouts.ai is an AI native “Generative Demand Platform” disrupting the $1.1T B2B GTM category. Sprouts.ai helps B2B demand gen and sales teams generate qualified pipeline and increase deal conversion rates with real-time account and contact level intelligence signals, recommending next best action and execution via AI agents. Sprouts is solving the problem of inefficient GTM driven by dirty data ecosystems, multiple siloed legacy tools, large GTM teams, static ICPs and poorly defined segments. Our existing customers have seen a significant improvement in data coverage and quality →3X increase in qualified leads →50% increase in SDR/BDR efficiency →30%+ reduction in martech tool cost. Unlike traditional GTM tools, Sprouts doesn’t add more dashboards or enrichment tricks—it rebuilds the operating layer beneath your stack. For CROs and Sales leaders, it removes ghost pipeline and provides reps with real-time intelligence and deep ICP qualification to increase conversion rates - Spend more time selling, less time guessing. For RevOps teams, it offers high quality data coupled with signal based orchestration - AI based account and contact research, valid emails, phone numbers, hiring, techstack, sub-team sizes. For CMOs and marketing teams, Sprouts offers deep ICP analysis along with innovative website and event workflows for generating qualified pipeline. Reach out to us and see what dirty data is really costing your GTM → Try the Dirty Data Calculator → Get Your Signal Health Report → Show up to the next QBR with clarity that holds You don’t need more dashboards. You need a system that finally tells the truth. Sprouts.ai isn’t just automation; it’s regeneration. The connective tissue your GTM motion was missing, designed to turn fragmented data into reliable revenue outcomes.

Founded in 2020, we are a leading deep-tech company dedicated to transforming digital entertainment and productivity through advanced spatial computing devices. Our mission is to elevate human capabilities by revolutionizing how the world acquires, communicates, and interacts with information, spearheading the 3D infotech revolution and enriching society. Leveraging our full-stack R&D expertise—from hardware design to software development and system integration—we have successfully launched two generations of AI-powered VR products. Our third-generation device, the world’s first Android-based MR headset, saw overwhelming demand, with pre-orders oversubscribed just hours after its Kickstarter launch. The excitement around our products—where mixed reality converges with AI—is palpable. It’s inspiring to see so many people embracing our vision of a future where everyone is empowered to connect, create and collaborate, anytime, anywhere.

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Good data is the key to fine-tuning and evaluation of language models, and most models hallucinate without human-in-the-loop. Thats why we built Besimple AI for AI teams of all sizes and budgets. We build data flywheel for AI companies so you can continuously improve and monitor your models with human-in-the-loop. We got you covered across text, image, audio and more. Get a quote and start today at: https://besimple.ai/

Delty is transforming healthcare operations with AI agents. Learn more at https://delty.ai/ Find us on X at https://x.com/delty_ai

Klavis AI provides open source MCP integration for AI applications. Integrate enterprise-grade MCP servers with your AI application in a minute, and scale to millions of users using our open-source, hosted MCP servers with multi-tenancy auth, and skip MCP client-side development hassle.

Mage provides a collaborative workspace that streamlines the data engineering workflow, enabling rapid development of data products and AI applications. Data engineers and data professionals use Mage to build, run, and manage data pipelines, AI/ML pipelines, build Retrieval Augmented Generation systems (RAG), and LLM orchestration. Mage is the only data platform that combines vital data engineering capabilities to make AI engineering more accessible.

Were building the worlds most automated AI lab. Our objective is to build systems that optimize and automate work, starting with research itself. We dont think the next step change in AI will come from scaling the current recipe: larger models, more data, static deployment. Were pursuing new learning algorithms that supersede large-scale pretraining and reinforcement learning, and architectures that scale better than transformers. — We think the next wave of frontier research will come from small teams with highly capable agents. Were building the lab around that bet from day one. We start by automating our own work. That makes room for more ambitious and creative work, which reveals the next thing to automate. What we learn feeds back into the research. — If were right, small teams with powerful AI systems will take on work that once required entire organizations. Much of the current conversation around AI assumes it will mostly help existing institutions operate more efficiently. Were excited by the larger shift: a world where far more people can pursue ambitious work without first building an organization or raising capital. A corner store with the logistical capabilities of a multinational corporation. A small workshop with demand from around the world. A project that starts in a group chat and grows far beyond its origins. Were building the research, systems, and operating model to make this possible for more people. — Our team brings together people who have helped build frontier models, state-of-the-art optimization methods, influential architectures, multimodal agents, and the low-level systems those advances depend on. Were building a small lab with the range to rethink neural network architecture from scratch – the kind of bet that gets harder to make the more you have to scale – and the systems engineering depth to prove it out.

Real world. Real intelligence.

Llama Venture – Where Insight & AI Shape the Future. We’re a Silicon Valley–based early-stage firm backing founders who fuse cutting-edge AI with deep domain know-how to reimagine how we live and work. Our partners are repeat technical founders, so we get the tech—and we respect yours even more. Stage. Pre-seed and seed; we can lead, co-lead, or follow to help you close fast. Focus. AI-native solutions across industries: from industrial automation and healthcare to fintech, climate, and next-gen tooling. Style. Independent conviction, disciplined investing, and a respectful partnership—we show up when you need us and stay out of the way when you don’t. Building an AI company that will change your industry? Let’s talk → info@llamaventure.com.

Quotr is an AI-powered construction estimation, takeoff, and procurement platform designed for subcontractors, general contractors (GCs), and developers. The platform automates construction estimating workflows and provides access to factory-direct materials at 40-50% below retail pricing. Primary Users: 2-10 seat subcontractor teams, general contractors, and real estate developers Founded: Construction technology company specializing in AI automation Website: http://quotr.io Core Technology: AI-powered takeoff automation, cost estimation engine, and procurement matching system

CouldAI is the world’s only vibe-coding agent that generates true cross-platform native apps—from a single prompt and a single codebase—shipping to iOS, Android, Web, Windows, macOS, and Linux. Unlike “web wrapper” builders, Could AI compiles to optimized ARM/Intel machine code (and JavaScript for web) to deliver native-grade, 60fps performance—built for production, not demos. At the core is our proprietary Entire Codebase Awareness (ECA) engine: it understands your full project structure without indexing, enabling precise edits across large, multi-file apps while cutting token usage by 90%—so you iterate faster with fewer dead ends and dramatically lower cost per run. With Instant Hot Reload, native Supabase full-stack integration, and one-click automated CI/CD to the App Store & Google Play, CouldAI takes you from “idea” to “live” in minutes. We’re built on Flutter because production performance is non-negotiable: independent benchmarks show Flutter leading on scrolling smoothness, CPU/RAM efficiency, footprint, and stability on older devices—exactly where production apps are most unforgiving, and where React Native can struggle.