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without scaling headcount.</p><div><a class="inline-block px-6 py-4 bg-[#0A0A0A] hover:bg-[#292929] cursor-pointer text-white text-lg font-semibold w-[258px] h-[60px] transition" href="/startups/apply">Apply now</a></div></div></section><section class="py-20 px-4"><div class="mx-auto max-w-[1200px] border border-[#E5E5E5] rounded-2xl px-8 sm:px-16 md:px-20 lg:px-24 py-16 sm:py-20"><div class="flex justify-center mb-8"><img src="/images/startup/Rocket.webp" alt="Rocket icon" class="w-14 h-14 sm:w-16 sm:h-16 object-contain"/></div><h2 class="text-center text-[28px] sm:text-[36px] lg:text-[52px] font-bold text-[#0A0A0A] leading-tight mb-10 lg:mb-14">Built for Physical AI Startups</h2><div class="max-w-[740px] mx-auto flex flex-col gap-6 text-center"><p class="text-[17px] sm:text-[22px] text-[#555555] leading-[170%]">Building AI for the physical world is different. Success depends on more than models—it depends on the quality of data, evaluation, and feedback loops behind them.</p><p class="text-[17px] sm:text-[22px] text-[#555555] leading-[170%]">Labelbees is the operating platform for that work: curate multimodal sensor data, run and evaluate any model at scale, and improve continuously — all in one place.</p></div><div class="mt-10 lg:mt-12 border-t border-[#E5E5E5] pt-8 lg:pt-10"><p class="text-center text-[18px] sm:text-[20px] lg:text-[22px] font-semibold text-[#0A0A0A]">Because in Physical AI, moving fast isn&#x27;t enough. Your systems have to work in the real world.</p></div></div></section><section class=" pb-20 2xl:w-[1376px] lg:w-[1180px] mx-auto "><section class=" px-4 sm:px-8  lg:py-[140px]"><div class="max-w-[1380px] mx-auto"><div class="text-center mb-[50px] lg:mb-[120px]"><h1 class=" font-bold text-[32px] lg:text-[52px] leading-[71px] text-[#0A0A0A] tracking-tight">What You Get</h1><p class="text-[20px] lg:text-[22px] text-[#555555] mt-6 max-w-[800px] mx-auto">Everything you need to turn real-world sensor data into reliable Physical AI systems.</p></div><div class="space-y-20"><div class="grid grid-cols-1 lg:grid-cols-3 gap-[90px] lg:gap-[90px]"><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M223.85,47.12a16,16,0,0,0-15-15c-12.58-.75-44.73.4-71.41,27.07L132.69,64H74.36A15.91,15.91,0,0,0,63,68.68L28.7,103a16,16,0,0,0,9.07,27.16l38.47,5.37,44.21,44.21,5.37,38.49a15.94,15.94,0,0,0,10.78,12.92,16.11,16.11,0,0,0,5.1.83A15.91,15.91,0,0,0,153,227.3L187.32,193A15.91,15.91,0,0,0,192,181.64V123.31l4.77-4.77C223.45,91.86,224.6,59.71,223.85,47.12ZM74.36,80h42.33L77.16,119.52,40,114.34Zm74.41-9.45a76.65,76.65,0,0,1,59.11-22.47,76.46,76.46,0,0,1-22.42,59.16L128,164.68,91.32,128ZM176,181.64,141.67,216l-5.19-37.17L176,139.31Zm-74.16,9.5C97.34,201,82.29,224,40,224a8,8,0,0,1-8-8c0-42.29,23-57.34,32.86-61.85a8,8,0,0,1,6.64,14.56c-6.43,2.93-20.62,12.36-23.12,38.91,26.55-2.5,36-16.69,38.91-23.12a8,8,0,1,1,14.56,6.64Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">Multimodal Data Curation &amp; Ingestion</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Bring raw sensor streams into the platform and turn them into training-ready signals models can learn from.</p></div><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M197.58,129.06,146,110l-19-51.62a15.92,15.92,0,0,0-29.88,0L78,110l-51.62,19a15.92,15.92,0,0,0,0,29.88L78,178l19,51.62a15.92,15.92,0,0,0,29.88,0L146,178l51.62-19a15.92,15.92,0,0,0,0-29.88ZM137,164.22a8,8,0,0,0-4.74,4.74L112,223.85,91.78,169A8,8,0,0,0,87,164.22L32.15,144,87,123.78A8,8,0,0,0,91.78,119L112,64.15,132.22,119a8,8,0,0,0,4.74,4.74L191.85,144ZM144,40a8,8,0,0,1,8-8h16V16a8,8,0,0,1,16,0V32h16a8,8,0,0,1,0,16H184V64a8,8,0,0,1-16,0V48H152A8,8,0,0,1,144,40ZM248,88a8,8,0,0,1-8,8h-8v8a8,8,0,0,1-16,0V96h-8a8,8,0,0,1,0-16h8V72a8,8,0,0,1,16,0v8h8A8,8,0,0,1,248,88Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">Model Catalog &amp; Large-Scale Inference</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Run any model — open, closed, or platform — at scale, compare them side by side, and download results.</p></div><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M215.79,118.17a8,8,0,0,0-5-5.66L153.18,90.9l14.66-73.33a8,8,0,0,0-13.69-7l-112,120a8,8,0,0,0,3,13l57.63,21.61L88.16,238.43a8,8,0,0,0,13.69,7l112-120A8,8,0,0,0,215.79,118.17ZM109.37,214l10.47-52.38a8,8,0,0,0-5-9.06L62,132.71l84.62-90.66L136.16,94.43a8,8,0,0,0,5,9.06l52.8,19.8Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">Model Evaluation &amp; Benchmarking</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Benchmark models against real-world scenarios, analyze failure modes, and drive continuous improvement.</p></div></div><div class="grid grid-cols-1 lg:grid-cols-3 gap-[90px] lg:gap-[90px]"><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M160,112h48a16,16,0,0,0,16-16V48a16,16,0,0,0-16-16H160a16,16,0,0,0-16,16V64H128a24,24,0,0,0-24,24v32H72v-8A16,16,0,0,0,56,96H24A16,16,0,0,0,8,112v32a16,16,0,0,0,16,16H56a16,16,0,0,0,16-16v-8h32v32a24,24,0,0,0,24,24h16v16a16,16,0,0,0,16,16h48a16,16,0,0,0,16-16V160a16,16,0,0,0-16-16H160a16,16,0,0,0-16,16v16H128a8,8,0,0,1-8-8V88a8,8,0,0,1,8-8h16V96A16,16,0,0,0,160,112ZM56,144H24V112H56v32Zm104,16h48v48H160Zm0-112h48V96H160Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">Built for Physical AI Systems</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Purpose-built for robotics, autonomous systems, geospatial AI, and other high-stakes Physical AI environments.</p></div><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M104,40H56A16,16,0,0,0,40,56v48a16,16,0,0,0,16,16h48a16,16,0,0,0,16-16V56A16,16,0,0,0,104,40Zm0,64H56V56h48v48Zm96-64H152a16,16,0,0,0-16,16v48a16,16,0,0,0,16,16h48a16,16,0,0,0,16-16V56A16,16,0,0,0,200,40Zm0,64H152V56h48v48Zm-96,32H56a16,16,0,0,0-16,16v48a16,16,0,0,0,16,16h48a16,16,0,0,0,16-16V152A16,16,0,0,0,104,136Zm0,64H56V152h48v48Zm96-64H152a16,16,0,0,0-16,16v48a16,16,0,0,0,16,16h48a16,16,0,0,0,16-16V152A16,16,0,0,0,200,136Zm0,64H152V152h48v48Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">End-to-End Physical AI Lifecycle</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Covers the full cycle — research, fine-tuning, testing, evaluation, and production deployment.</p></div><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M244.8,150.4a8,8,0,0,1-11.2-1.6A51.6,51.6,0,0,0,192,128a8,8,0,0,1-7.37-4.89,8,8,0,0,1,0-6.22A8,8,0,0,1,192,112a24,24,0,1,0-23.24-30,8,8,0,1,1-15.5-4A40,40,0,1,1,219,117.51a67.94,67.94,0,0,1,27.43,21.68A8,8,0,0,1,244.8,150.4ZM190.92,212a8,8,0,1,1-13.84,8,57,57,0,0,0-98.16,0,8,8,0,1,1-13.84-8,72.06,72.06,0,0,1,33.74-29.92,48,48,0,1,1,58.36,0A72.06,72.06,0,0,1,190.92,212ZM128,176a32,32,0,1,0-32-32A32,32,0,0,0,128,176ZM72,120a8,8,0,0,0-8-8A24,24,0,1,1,87.24,82a8,8,0,1,0,15.5-4A40,40,0,1,0,37,117.51,67.94,67.94,0,0,0,9.6,139.19a8,8,0,1,0,12.8,9.61A51.6,51.6,0,0,1,64,128,8,8,0,0,0,72,120Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">Expert-in-the-Loop Review</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Optional expert review against your guidelines, built into the platform when you need an extra layer of confidence.</p></div></div><div class="grid grid-cols-1 lg:grid-cols-3 gap-[90px] lg:gap-[90px]"><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M128,24A104,104,0,1,0,232,128,104.11,104.11,0,0,0,128,24Zm0,192a88,88,0,1,1,88-88A88.1,88.1,0,0,1,128,216Zm64-88a8,8,0,0,1-8,8H128a8,8,0,0,1-8-8V72a8,8,0,0,1,16,0v48h48A8,8,0,0,1,192,128Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">Fast, Reliable Engineering Support</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Responsive support to integrate quickly, resolve issues, and keep your development velocity up.</p></div><div class="flex flex-col gap-8 w-full max-w-[400px] mx-auto lg:mx-0"><div class="flex flex-col gap-6"><div class="relative w-10 h-[41px] flex-shrink-0"><div class="absolute w-[30px] h-[31px] bg-[#FFBB33] rounded-full left-[10px] top-[10px]"></div><div class="absolute w-10 h-10 flex items-center justify-center left-0 top-0"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-10 h-10 text-[#0A0A0A] relative z-10"><path d="M128,24C74.17,24,32,48.6,32,80v96c0,31.4,42.17,56,96,56s96-24.6,96-56V80C224,48.6,181.83,24,128,24Zm80,104c0,9.62-7.88,19.43-21.61,26.92C170.93,163.35,150.19,168,128,168s-42.93-4.65-58.39-13.08C55.88,147.43,48,137.62,48,128V111.36c17.06,15,46.23,24.64,80,24.64s62.94-9.68,80-24.64ZM69.61,53.08C85.07,44.65,105.81,40,128,40s42.93,4.65,58.39,13.08C200.12,60.57,208,70.38,208,80s-7.88,19.43-21.61,26.92C170.93,115.35,150.19,120,128,120s-42.93-4.65-58.39-13.08C55.88,99.43,48,89.62,48,80S55.88,60.57,69.61,53.08ZM186.39,202.92C170.93,211.35,150.19,216,128,216s-42.93-4.65-58.39-13.08C55.88,195.43,48,185.62,48,176V159.36c17.06,15,46.23,24.64,80,24.64s62.94-9.68,80-24.64V176C208,185.62,200.12,195.43,186.39,202.92Z"></path></svg></div></div><h3 class="font-nunito font-bold text-2xl leading-[33px] text-[#0A0A0A]">Up to $50K in Credits</h3></div><p class="font-nunito font-medium text-lg leading-[25px] text-[#333333]">Apply credits across data, inference, evaluation, and expert review based on your program tier.</p></div></div></div></div></section></section><section class="py-20 px-4 bg-white"><div class="max-w-[1380px] mx-auto text-center"><h2 class="text-4xl md:text-5xl font-bold mb-20 text-foreground">Program Tiers &amp; Eligibility<p class="text-[20px] text-[#333333] font-medium mb-12"><br/>Platform credits and support for teams building Physical AI — from first training signals to production systems.</p></h2><div class="flex flex-col lg:flex-row justify-center gap-[21px]"><div class=" bg-white pl-6 pr-6 pt-10 pb-23 flex flex-col gap-11  flex-1" style="box-shadow:2px 2px 10px 4px rgba(109, 109, 109, 0.1)"><div class="flex flex-col gap-4 text-left h-[168px]"><div class="relative w-[40px] h-[40px]"><div class="absolute w-[30px] h-[30px] bg-[#A35CFF] rounded-full left-[10px] top-[10px] z-0"></div><div class="relative z-10"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-8 h-8"><path d="M242.63,96.44l-184-64A8,8,0,0,0,48,40V216a8,8,0,0,0,16,0V173.69l178.63-62.13a8,8,0,0,0,0-15.12ZM64,156.75V51.25L215.65,104Z"></path></svg></div></div><h3 class="text-[32px] font-bold text-foreground">Build Tier</h3><p class="text-[18px] font-medium text-[#333333]">For teams turning raw sensor data into their first training signals for Physical AI models.</p></div><div class="text-left h-[230px]"><h4 class="font-bold text-[20px] mb-6 text-foreground">Benefits</h4><ul class="list-disc list-outside pl-5 text-[18px] font-medium text-[#333333] "><li>Platform access to curate, structure, and manage multimodal data</li><li>Run and evaluate models via the model catalog — open, closed, or platform-hosted</li><li>Inference at scale with downloadable results</li><li>Expert-in-the-loop review, available on demand</li><li><strong>Up to $5,000 <!-- --> </strong> <!-- -->in platform credits</li></ul></div><div class="text-left"><h4 class="font-bold text-[20px] mt-15 mb-10 lg:mb-6 lg:mt-0 text-foreground"><br/><br/>Eligibility</h4><ul class="list-disc list-outside pl-5 text-[18px] font-medium text-[#333333] "><li>Early-stage teams building AI-first products or conducting research</li><li>Working with real-world data or early model development</li><li>Open to startups, research labs, and independent teams</li></ul></div></div><div class=" bg-white pl-6 pr-6 pt-10 pb-23 flex flex-col gap-11  flex-1" style="box-shadow:2px 2px 10px 4px rgba(109, 109, 109, 0.1)"><div class="flex flex-col gap-4 text-left h-[168px]"><div class="relative w-[40px] h-[40px]"><div class="absolute w-[30px] h-[30px] bg-[#A35CFF] rounded-full left-[10px] top-[10px] z-0"></div><div class="relative z-10"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-8 h-8"><path d="M239.35,70.08a13.41,13.41,0,0,0-11.77-9.28l-36.94-2.92L176.43,24.22a13.51,13.51,0,0,0-24.86,0L137.36,57.88,100.42,60.8a13.39,13.39,0,0,0-7.66,23.58l28.06,23.68-8.56,35.39a13.32,13.32,0,0,0,5.1,13.91,13.51,13.51,0,0,0,15,.69L164,139l31.65,19.06a13.54,13.54,0,0,0,15-.69,13.34,13.34,0,0,0,5.09-13.91l-8.56-35.39,28.06-23.68A13.32,13.32,0,0,0,239.35,70.08ZM193.08,99a8,8,0,0,0-2.61,8l8.28,34.21L168.13,122.8a8,8,0,0,0-8.25,0l-30.62,18.43L137.54,107a8,8,0,0,0-2.62-8L108,76.26l35.52-2.81a8,8,0,0,0,6.74-4.87L164,35.91l13.79,32.67a8,8,0,0,0,6.74,4.87l35.53,2.81Zm-105,24.18L29.66,181.66a8,8,0,0,1-11.32-11.32l58.45-58.45a8,8,0,0,1,11.32,11.32Zm10.81,49.87a8,8,0,0,1,0,11.31L45.66,237.66a8,8,0,0,1-11.32-11.32l53.27-53.26A8,8,0,0,1,98.92,173.08Zm73-1a8,8,0,0,1,0,11.32l-54.28,54.28a8,8,0,0,1-11.32-11.32l54.29-54.28A8,8,0,0,1,171.94,172.06Z"></path></svg></div></div><h3 class="text-[32px] font-bold text-foreground">Scale Tier</h3><p class="text-[18px] font-medium text-[#333333]">For teams scaling Physical AI performance and reliability toward production.</p></div><div class="text-left h-[230px]"><h4 class="font-bold text-[20px] mb-6 text-foreground">Benefits</h4><ul class="list-disc list-outside pl-5 text-[18px] font-medium text-[#333333] "><li>Higher data volumes and larger collections</li><li>Large-scale inference and model benchmarking across the catalog</li><li>Custom evaluation criteria and benchmarks for your use case</li><li>Priority support with defined SLAs</li><li><strong>Up to $10,000 <!-- --> </strong> <!-- -->in platform credits based on usage and volume</li></ul></div><div class="text-left"><h4 class="font-bold text-[20px] mt-15 mb-10 lg:mb-6 lg:mt-0 text-foreground"><br/><br/>Eligibility</h4><ul class="list-disc list-outside pl-5 text-[18px] font-medium text-[#333333] "><li>Teams actively improving models and moving toward production</li><li>Demonstrated product, model, or dataset traction</li><li>Active iteration on real-world AI systems</li><li>Must be legally incorporated</li></ul></div></div><div class=" bg-white pl-6 pr-6 pt-10 pb-23 flex flex-col gap-11  flex-1" style="box-shadow:2px 2px 10px 4px rgba(109, 109, 109, 0.1)"><div class="flex flex-col gap-4 text-left h-[168px]"><div class="relative w-[40px] h-[40px]"><div class="absolute w-[30px] h-[30px] bg-[#A35CFF] rounded-full left-[10px] top-[10px] z-0"></div><div class="relative z-10"><svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" fill="currentColor" viewBox="0 0 256 256" class="w-8 h-8"><path d="M244.8,150.4a8,8,0,0,1-11.2-1.6A51.6,51.6,0,0,0,192,128a8,8,0,0,1-7.37-4.89,8,8,0,0,1,0-6.22A8,8,0,0,1,192,112a24,24,0,1,0-23.24-30,8,8,0,1,1-15.5-4A40,40,0,1,1,219,117.51a67.94,67.94,0,0,1,27.43,21.68A8,8,0,0,1,244.8,150.4ZM190.92,212a8,8,0,1,1-13.84,8,57,57,0,0,0-98.16,0,8,8,0,1,1-13.84-8,72.06,72.06,0,0,1,33.74-29.92,48,48,0,1,1,58.36,0A72.06,72.06,0,0,1,190.92,212ZM128,176a32,32,0,1,0-32-32A32,32,0,0,0,128,176ZM72,120a8,8,0,0,0-8-8A24,24,0,1,1,87.24,82a8,8,0,1,0,15.5-4A40,40,0,1,0,37,117.51,67.94,67.94,0,0,0,9.6,139.19a8,8,0,1,0,12.8,9.61A51.6,51.6,0,0,1,64,128,8,8,0,0,0,72,120Z"></path></svg></div></div><h3 class="text-[32px] font-bold text-foreground">Operate Tier</h3><p class="text-[18px] font-medium text-[#333333]">For teams operating production Physical AI systems with continuous sensor data and evaluation</p></div><div class="text-left h-[230px]"><h4 class="font-bold text-[20px] mb-6 text-foreground">Benefits</h4><ul class="list-disc list-outside pl-5 text-[18px] font-medium text-[#333333] "><li>Continuous data curation and evaluation for production AI</li><li>Ongoing large-scale inference and system-level benchmarking</li><li>Advanced, system-level validation and monitoring</li><li>Strategic guidance for maintaining reliability at scale</li><li><strong>Up to $50,000 <!-- --> </strong> <!-- -->in platform credits, with custom, volume-based pricing</li></ul></div><div class="text-left"><h4 class="font-bold text-[20px] mt-15 mb-10 lg:mb-6 lg:mt-0 text-foreground"><br/><br/>Eligibility</h4><ul class="list-disc list-outside pl-5 text-[18px] font-medium text-[#333333] "><li>Teams running production AI systems with ongoing data and evaluation needs</li><li>Significant scale in data, models, or system complexity</li><li>Building AI-native products or infrastructure</li><li>Must be legally incorporated</li></ul></div></div></div><p class="mt-12 text-left text-[#333333] text-[20px] font-medium">All applications are reviewed to ensure strong alignment with the program.</p></div></section><div class="flex flex-col items-center bg-[#F5F5F5] px-4 py-20 gap-16 sm:gap-[100px]"><h2 class="text-3xl sm:text-4xl md:text-5xl font-bold text-center text-[#0A0A0A] leading-tight">How You Can Contribute</h2><div class="hidden lg:grid max-w-[1262px] w-full mx-auto" style="grid-template-columns:1fr 1px 1fr 1px 1fr;grid-template-rows:auto auto auto"><div class="bg-[#6D6D6D66]" style="grid-column:2;grid-row:1 / span 3"></div><div class="bg-[#6D6D6D66]" style="grid-column:4;grid-row:1 / span 3"></div><div class="pb-8 px-11" style="grid-column:1;grid-row:1"><div class="relative inline-block"><div class="absolute w-[42px] h-[42px] left-[5px] top-[4px] rounded-full bg-[#FFBB33]"></div><div class="relative w-[34px] h-[28px] flex items-center justify-center font-bold text-[40px] text-[#0A0A0A]">1<!-- -->.</div></div></div><div class="pb-8 px-11" style="grid-column:3;grid-row:1"><div class="relative inline-block"><div class="absolute w-[42px] h-[42px] left-[5px] top-[4px] rounded-full bg-[#FFBB33]"></div><div class="relative w-[34px] h-[28px] flex items-center justify-center font-bold text-[40px] text-[#0A0A0A]">2<!-- -->.</div></div></div><div class="pb-8 px-11" style="grid-column:5;grid-row:1"><div class="relative inline-block"><div class="absolute w-[42px] h-[42px] left-[5px] top-[4px] rounded-full bg-[#FFBB33]"></div><div class="relative w-[34px] h-[28px] flex items-center justify-center font-bold text-[40px] text-[#0A0A0A]">3<!-- -->.</div></div></div><h3 class="text-[24px] font-bold text-[#0A0A0A] pb-8 px-11" style="grid-column:1;grid-row:2">Share Real-World Feedback</h3><h3 class="text-[24px] font-bold text-[#0A0A0A] pb-8 px-11" style="grid-column:3;grid-row:2">Participate in Case Studies</h3><h3 class="text-[24px] font-bold text-[#0A0A0A] pb-8 px-11" style="grid-column:5;grid-row:2">Reference Labelbees as a Key Partner</h3><p class="text-[18px] leading-[27px] text-[#333333] font-medium px-11" style="grid-column:1;grid-row:3">Provide insights from your use cases and edge cases to help us refine the platform.</p><p class="text-[18px] leading-[27px] text-[#333333] font-medium px-11" style="grid-column:3;grid-row:3">With your approval, we may feature your work and outcomes.</p><p class="text-[18px] leading-[27px] text-[#333333] font-medium px-11" style="grid-column:5;grid-row:3">Optionally mention us in technical, product, or investor-facing materials.</p></div><div class="flex flex-col lg:hidden w-full max-w-[362px] mx-auto"><div class="flex flex-col gap-8 w-full"><div class="relative inline-block"><div class="absolute w-[42px] h-[42px] left-[5px] top-[4px] rounded-full bg-[#FFBB33]"></div><div class="relative w-[34px] h-[28px] flex items-center justify-center font-bold text-[40px] text-[#0A0A0A]">1<!-- -->.</div></div><h3 class="text-[24px] font-bold text-[#0A0A0A]">Share Real-World Feedback</h3><p class="text-[18px] leading-[27px] text-[#333333] font-medium">Provide insights from your use cases and edge cases to help us refine the platform.</p><div class="w-full my-4 h-px bg-[#6D6D6D66]"></div></div><div class="flex flex-col gap-8 w-full"><div class="relative inline-block"><div class="absolute w-[42px] h-[42px] left-[5px] top-[4px] rounded-full bg-[#FFBB33]"></div><div class="relative w-[34px] h-[28px] flex items-center justify-center font-bold text-[40px] text-[#0A0A0A]">2<!-- -->.</div></div><h3 class="text-[24px] font-bold text-[#0A0A0A]">Participate in Case Studies</h3><p class="text-[18px] leading-[27px] text-[#333333] font-medium">With your approval, we may feature your work and outcomes.</p><div class="w-full my-4 h-px bg-[#6D6D6D66]"></div></div><div class="flex flex-col gap-8 w-full"><div class="relative inline-block"><div class="absolute w-[42px] h-[42px] left-[5px] top-[4px] rounded-full bg-[#FFBB33]"></div><div class="relative w-[34px] h-[28px] flex items-center justify-center font-bold text-[40px] text-[#0A0A0A]">3<!-- -->.</div></div><h3 class="text-[24px] font-bold text-[#0A0A0A]">Reference Labelbees as a Key Partner</h3><p class="text-[18px] leading-[27px] text-[#333333] font-medium">Optionally mention us in technical, product, or investor-facing materials.</p></div></div></div><div class="min-h-screen lg:pb-[50px] bg-white"><div class="w-full"><h1 class="text-center font-bold text-[#0A0A0A] py-20  text-3xl md:text-5xl">Frequently Asked Questions</h1><div class="flex flex-col px-5 gap-10"><div class="bg-white mx-auto w-full max-w-[1380px] px-4 md:px-0" style="box-shadow:1px 1px 10px 1px rgba(109, 109, 109, 0.1)"><div class="px-4 py-8 md:p-20"><button class="w-full flex items-center justify-between" style="margin-bottom:60px"><h2 class="font-bold text-left text-[24px] lg:text-[32px]" style="color:#0A0A0A;font-weight:700;font-size:clamp(24px, 4vw, 32px);line-height:1.375">Eligibility &amp; Application Basics</h2><div class="transform transition-transform duration-200 flex-shrink-0 rotate-180 cursor-pointer"><svg width="32" height="32" viewBox="0 0 32 32" fill="none"><path d="M5 11L16 22L27 11" stroke="#0A0A0A" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button><div class="w-full max-w-[1220px]"><div><button class="w-full flex items-center justify-between py-3 md:py-6 text-left"><h3 class=" pr-4" style="font-size:clamp(18px, 3vw, 24px);line-height:1.375;color:#333333;font-weight:500">Is this program a good fit for my team?</h3><div class="flex-shrink-0 cursor-pointer"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 3V21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M3 12H21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button><div class="w-full mb-6 md:mb-10" style="height:1px;background-color:rgba(109, 109, 109, 0.4)"></div></div><div><button class="w-full flex items-center justify-between py-3 md:py-6 text-left"><h3 class=" pr-4" style="font-size:clamp(18px, 3vw, 24px);line-height:1.375;color:#333333;font-weight:500">Who can apply to this program?</h3><div class="flex-shrink-0 cursor-pointer"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 3V21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M3 12H21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button><div class="w-full mb-6 md:mb-10" style="height:1px;background-color:rgba(109, 109, 109, 0.4)"></div></div><div><button class="w-full flex items-center justify-between py-3 md:py-6 text-left"><h3 class=" pr-4" style="font-size:clamp(18px, 3vw, 24px);line-height:1.375;color:#333333;font-weight:500">Do I need to be venture-backed to apply?</h3><div class="flex-shrink-0 cursor-pointer"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 3V21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M3 12H21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button><div class="w-full mb-6 md:mb-10" style="height:1px;background-color:rgba(109, 109, 109, 0.4)"></div></div><div><button class="w-full flex items-center justify-between py-3 md:py-6 text-left"><h3 class=" pr-4" style="font-size:clamp(18px, 3vw, 24px);line-height:1.375;color:#333333;font-weight:500">What if I don’t affiliate with one of the approved Labelbees partners?</h3><div class="flex-shrink-0 cursor-pointer"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 3V21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M3 12H21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button><div class="w-full mb-6 md:mb-10" style="height:1px;background-color:rgba(109, 109, 109, 0.4)"></div></div><div><button class="w-full flex items-center justify-between py-3 md:py-6 text-left"><h3 class=" pr-4" style="font-size:clamp(18px, 3vw, 24px);line-height:1.375;color:#333333;font-weight:500">Does meeting the eligibility criteria mean I’m automatically accepted?</h3><div class="flex-shrink-0 cursor-pointer"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 3V21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M3 12H21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button><div class="w-full mb-6 md:mb-10" style="height:1px;background-color:rgba(109, 109, 109, 0.4)"></div></div><div><button class="w-full flex items-center justify-between py-3 md:py-6 text-left"><h3 class=" pr-4" style="font-size:clamp(18px, 3vw, 24px);line-height:1.375;color:#333333;font-weight:500">How are applications to the program reviewed?</h3><div class="flex-shrink-0 cursor-pointer"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 3V21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M3 12H21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button><div class="w-full mb-6 md:mb-10" style="height:1px;background-color:rgba(109, 109, 109, 0.4)"></div></div><div><button class="w-full flex items-center justify-between py-3 md:py-6 text-left"><h3 class=" pr-4" style="font-size:clamp(18px, 3vw, 24px);line-height:1.375;color:#333333;font-weight:500">What happens after I apply?</h3><div class="flex-shrink-0 cursor-pointer"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 3V21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M3 12H21" stroke="#333333" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button></div></div></div></div><div class="bg-white mx-auto w-full max-w-[1380px] px-4 md:px-0" style="box-shadow:1px 1px 10px 1px rgba(109, 109, 109, 0.1)"><div class="px-4 py-8 md:p-20"><button class="w-full flex items-center justify-between" style="margin-bottom:0"><h2 class="font-bold text-left text-[24px] lg:text-[32px]" style="color:#0A0A0A;font-weight:700;font-size:clamp(24px, 4vw, 32px);line-height:1.375">Program Benefits &amp; Usage</h2><div class="transform transition-transform duration-200 flex-shrink-0  cursor-pointer"><svg width="32" height="32" viewBox="0 0 32 32" fill="none"><path d="M5 11L16 22L27 11" stroke="#0A0A0A" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button></div></div><div class="bg-white mx-auto w-full max-w-[1380px] px-4 md:px-0" style="box-shadow:1px 1px 10px 1px rgba(109, 109, 109, 0.1)"><div class="px-4 py-8 md:p-20"><button class="w-full flex items-center justify-between" style="margin-bottom:0"><h2 class="font-bold text-left text-[24px] lg:text-[32px]" style="color:#0A0A0A;font-weight:700;font-size:clamp(24px, 4vw, 32px);line-height:1.375">Additional Questions</h2><div class="transform transition-transform duration-200 flex-shrink-0  cursor-pointer"><svg width="32" height="32" viewBox="0 0 32 32" fill="none"><path d="M5 11L16 22L27 11" stroke="#0A0A0A" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button></div></div><div class="bg-white mx-auto w-full max-w-[1380px] px-4 md:px-0" style="box-shadow:1px 1px 10px 1px rgba(109, 109, 109, 0.1)"><div class="px-4 py-8 md:p-20"><button class="w-full flex items-center justify-between" style="margin-bottom:0"><h2 class="font-bold text-left text-[24px] lg:text-[32px]" style="color:#0A0A0A;font-weight:700;font-size:clamp(24px, 4vw, 32px);line-height:1.375">Terms &amp; Contact</h2><div class="transform transition-transform duration-200 flex-shrink-0  cursor-pointer"><svg width="32" height="32" viewBox="0 0 32 32" fill="none"><path d="M5 11L16 22L27 11" stroke="#0A0A0A" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"></path></svg></div></button></div></div></div></div></div><section class="relative flex justify-center items-center h-[1300px] lg:h-[850px] 2xl:h-[1109px] py-16 px-4"><div class="absolute bottom-[-380px] px-3 lg:bottom-[-200px] 2xl:bottom-[-100px] z-[-1] right-0 left-0 lg:left-1/2 transform lg:-translate-x-1/2 items-center overflow-hidden pointer-events-none w-full lg:w-1/2" style="height:50%;background-image:url(&quot;/icons/bg.svg&quot;);background-size:cover;background-position:center top;background-repeat:no-repeat"></div><div class="flex flex-col  lg:flex-row justify-between items-center gap-10 w-full max-w-[1380px] z-10"><div class="w-full lg:w-[660px] lg:h-[600px] bg-[#0A0A0A] shadow-xl flex flex-col items-center text-center px-6 py-16 lg:px-10 lg:py-[100px]"><div class="max-w-[580px] space-y-13"><h2 class="text-3xl lg:text-[48px] leading-tight font-bold text-[#F5F5F5]">From Raw Sensor Data to Trusted Physical AI</h2><p class="text-[#F5F5F5] text-base lg:text-[20px] font-medium leading-relaxed">Access the operating platform to build, evaluate, and ship reliable Physical AI systems — with startup credits to get moving fast.</p><a class="bg-[#F5F5F5] text-[#0A0A0A] border border-transparent hover:border-[#F5F5F5] hover:bg-[#0A0A0A] hover:text-[#F5F5F5] font-semibold text-base lg:text-[20px] px-[79px] py-3 lg:w-[258px] text-center transition-colors duration-200" href="/startups/apply">Get started</a></div></div><div class="w-full lg:w-[660px] lg:h-[600px] bg-[#F5F5F5] border border-[#E5E5E5] flex flex-col items-center text-center px-6 py-16 lg:px-10 lg:py-[100px]"><div class="max-w-[580px] space-y-13"><h2 class="text-3xl lg:text-[48px] leading-tight font-semibold text-[#333333]">For VCs, Accelerators, and Ecosystem Partners</h2><p class="text-[#777777] text-base lg:text-[20px] font-normal leading-relaxed">Give your portfolio a head start on Physical AI. Partner with Labelbees to bring your companies onto the operating platform, with credits and hands-on support to reach production faster.</p><a class="border border-[#BBBBBB] text-[#555555] hover:border-[#0A0A0A] hover:text-[#0A0A0A] font-medium text-base lg:text-[20px] px-8 py-3 w-full lg:w-[258px] text-center transition-colors duration-200" href="/partners/ecosystem/apply">Become a partner</a></div></div></div></section></main></div><script>$RB=[];$RV=function(a){$RT=performance.now();for(var b=0;b<a.length;b+=2){var c=a[b],e=a[b+1];null!==e.parentNode&&e.parentNode.removeChild(e);var f=c.parentNode;if(f){var g=c.previousSibling,h=0;do{if(c&&8===c.nodeType){var d=c.data;if("/$"===d||"/&"===d)if(0===h)break;else h--;else"$"!==d&&"$?"!==d&&"$~"!==d&&"$!"!==d&&"&"!==d||h++}d=c.nextSibling;f.removeChild(c);c=d}while(c);for(;e.firstChild;)f.insertBefore(e.firstChild,c);g.data="$";g._reactRetry&&requestAnimationFrame(g._reactRetry)}}a.length=0};
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