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style="opacity:0.35">c</span><span style="opacity:0.35">o</span><span style="opacity:0.35">d</span><span style="opacity:0.35">e</span><span style="opacity:0.35"> </span><span style="opacity:0.35">e</span><span style="opacity:0.35">x</span><span style="opacity:0.35">e</span><span style="opacity:0.35">c</span><span style="opacity:0.35">u</span><span style="opacity:0.35">t</span><span style="opacity:0.35">i</span><span style="opacity:0.35">o</span><span style="opacity:0.35">n</span><span style="opacity:0.35"> </span><span style="opacity:0.35">a</span><span style="opacity:0.35">s</span><span style="opacity:0.35"> </span><span style="opacity:0.35">a</span><span style="opacity:0.35"> </span><span style="opacity:0.35">f</span><span style="opacity:0.35">i</span><span style="opacity:0.35">r</span><span style="opacity:0.35">s</span><span style="opacity:0.35">t</span><span style="opacity:0.35"> </span><span style="opacity:0.35">c</span><span style="opacity:0.35">l</span><span 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style="opacity:0.35">u</span><span style="opacity:0.35">n</span><span style="opacity:0.35">d</span><span style="opacity:0.35">a</span><span style="opacity:0.35">m</span><sp
1an style="opacity:0.35">e</span><span style="opacity:0.35">n</span><span style="opacity:0.35">t</span><span style="opacity:0.35">a</span><span style="opacity:0.35">l</span><span style="opacity:0.35"> </span><span style="opacity:0.35">b</span><span style="opacity:0.35">r</span><span style="opacity:0.35">e</span><span style="opacity:0.35">a</span><span style="opacity:0.35">k</span><span style="opacity:0.35">t</span><span style="opacity:0.35">h</span><span style="opacity:0.35">r</span><span style="opacity:0.35">o</span><span style="opacity:0.35">u</span><span style="opacity:0.35">g</span><span style="opacity:0.35">h</span><span style="opacity:0.35">s</span><span style="opacity:0.35"> </span><span style="opacity:0.35">a</span><span style="opacity:0.35">r</span><span style="opacity:0.35">e</span><span style="opacity:0.35"> </span><span style="opacity:0.35">r</span><span style="opacity:0.35">e</span><span style="opacity:0.35">q</span><span style="opacity:0.35">u</span><span style="opacity:0.35">i</span><span style="opacity:0.35">r</span><span style="opacity:0.35">e</span><span style="opacity:0.35">d</span><span style="opacity:0.35"> </span><span style="opacity:0.35">t</span><span style="opacity:0.35">o</span><span style="opacity:0.35"> </span><span style="opacity:0.35">a</span><span style="opacity:0.35">c</span><span style="opacity:0.35">h</span><span style="opacity:0.35">i</span><span style="opacity:0.35">e</span><span style="opacity:0.35">v</span><span style="opacity:0.35">e</span><span style="opacity:0.35"> </span><span style="opacity:0.35">t</span><span style="opacity:0.35">h</span><span style="opacity:0.35">i</span><span style="opacity:0.35">s</span><span style="opacity:0.35"> </span><span style="opacity:0.35">g</span><span style="opacity:0.35">o</span><span style="opacity:0.35">a</span><span style="opacity:0.35">l</span><span style="opacity:0.35">.</span></p></div></div><div class="relative h-[150px] md:h-[200px]"><div class="absolute inset-0 transition-opacity duration-700 delay-1000 opacity-0"></div><div class="absolute inset-x-0 top-0 h-24 pointer-events-none z-10" style="background:linear-gradient(to bottom, #FFFDF0 0%, transparent 100%)"></div></div></section><section id="our-approach" class="relative bg-[#FFFDF0] scroll-mt-20 overflow-hidden"><div class="relative z-10 mx-auto max-w-[96rem] px-8 pt-30 md:pt-40 pb-20 md:pb-40 lg:px-24"><section class="relative overflow-hidden flex flex-col gap-1 max-w-[590px]"><div class="font-ibm-plex-mono text-[13px] font-medium uppercase tracking-[0.2em] text-black/60">Our Thesis</div><h2 class="font-arizona-mix mt-4 max-w-2xl text-[42px] leading-[1.1] tracking-[-1.5] lg:text-[50px] text-pretty text-[#0a0a0a]">Applied Category Theory</h2><div class="font-arizona-sans mt-4 max-w-2xl text-[16px] leading-6 space-y-4 text-[#0a0a0a]/60"><p>Symbolica is a pioneering AI research lab founded in 2022. We are a team of software engineers and mathematicians leveraging a form of abstract mathematics, known as category theory, to deliver exceptional breakthroughs in modern artificial intelligence research.</p></div></section><div class="mt-16 grid grid-cols-1 md:grid-cols-3 gap-4"><div class="relative flex flex-col p-8 min-h-[480px] sm:min-h-[540px] border border-black/10 bg-[#FFFDF0] overflow-hidden"><div class="relative w-full h-[260px] -mx-8 -mt-8" style="width:calc(100% + 4rem)"><div class="absolute inset-0"><img src="/images/landing/symbolica-0-shapes.png" alt="Shapes visualization" class="w-full h-full object-cover"/></div><div class="absolute bottom-0 left-0 right-0 h-24 pointer-events-none z-10" style="background:linear-gradient(to bottom, transparent 0%, #FFFDF0 100%)"></div></div><div class="mt-auto"><h3 class="font-arizona-mix text-[22px] leading-[1.3] font-medium text-[#0a0a0a] tracking-[-0.5px] text-pretty">Semantics</h3><p class="font-arizona-sans text-[16px] text-[#0a0a0a] mt-4 leading-relaxed">Our models integrate formal logic and semantics at the architectural level, providing provable invariants of model behavior under all conditions.</p></div></div><div class="relative flex flex-col p-8 min-h-[480px] sm:min-h-[540px] border border-black/10 bg-[#FFFDF0] overflow-hidden"><div class="relative w-full h-[260px] -mx-8 -mt-8" style="width:calc(100% + 4rem)"><div class="absolute inset-0"><img src="/images/landing/symbolica-1-arcs-lines-dots.png" alt="Blooming network complex visualization" class="w-full h-full object-cover"/>
1</div><div class="absolute bottom-0 left-0 right-0 h-24 pointer-events-none z-10" style="background:linear-gradient(to bottom, transparent 0%, #FFFDF0 100%)"></div></div><div class="mt-auto"><h3 class="font-arizona-mix text-[22px] leading-[1.3] font-medium text-[#0a0a0a] tracking-[-0.5px] text-pretty">Reasoning</h3><p class="font-arizona-sans text-[16px] text-[#0a0a0a] mt-4 leading-relaxed">Unlike large language models, our category-theoretic architectures embed reasoning into the architecture itself. Program execution, search, and synthesis all occur in the same architecture, fundamentally blurring the line between neural, symbolic, and reasoning.</p></div></div><div class="relative flex flex-col p-8 min-h-[480px] sm:min-h-[540px] border border-black/10 bg-[#FFFDF0] overflow-hidden"><div class="relative w-full h-[260px] -mx-8 -mt-8" style="width:calc(100% + 4rem)"><div class="absolute inset-0"><img src="/images/landing/symbolica-3-commutative-network.png" alt="Commutative network visualization" class="w-full h-full object-cover"/></div><div class="absolute bottom-0 left-0 right-0 h-24 pointer-events-none z-10" style="background:linear-gradient(to bottom, transparent 0%, #FFFDF0 100%)"></div></div><div class="mt-auto"><h3 class="font-arizona-mix text-[22px] leading-[1.3] font-medium text-[#0a0a0a] tracking-[-0.5px] text-pretty">Categories</h3><p class="font-arizona-sans text-[16px] text-[#0a0a0a] mt-4 leading-relaxed">By leveraging category theory to inform the construction of our architectures we are able to seamlessly unify discrete concepts like types and programs with fuzzy concepts like vector spaces and optimization with a degree of sophistication inaccessible to other architectures.</p></div></div></div></div></section><section class="relative bg-[#F0EDE0] border-t border-b border-black/10 py-28 lg:py-36 overflow-x-clip"><div class="absolute left-1/2 h-px bg-black/10 top-24 lg:top-32" style="width:10000px;transform:translateX(-5000px)"></div><div class="absolute left-1/2 h-px bg-black/10 bottom-24 lg:bottom-32" style="width:10000px;transform:translateX(-5000px)"></div><div class="relative mx-auto max-w-[110rem] px-4 lg:px-10"><div class="absolute w-px bg-black/10 left-0 lg:left-6 -top-28 -bottom-28 lg:-top-36 lg:-bottom-36 hidden sm:block"></div><div class="absolute w-px bg-black/10 right-0 lg:right-6 -top-28 -bottom-28 lg:-top-36 lg:-bottom-36 hidden sm:block"></div><div class="relative bg-[#0f0f0f] overflow-visible px-8 lg:px-24 pt-20 pb-24"><div class="text-center max-w-6xl mx-auto"><div class="font-ibm-plex-mono text-[13px] font-medium uppercase tracking-[0.2em] text-white/60 mb-4 text-left lg:text-center">PRODUCT</div><h2 class="font-arizona-mix text-[32px] md:text-[42px] lg:text-[52px] leading-[1.1] font-light text-white tracking-[-1px] text-pretty text-left lg:text-center">Introducing Agentica</h2></div><div class="flex flex-col lg:flex-row items-start lg:items-center gap-6 max-w-[96rem] mx-auto"><div class="flex-1 flex items-center justify-center"><img src="/images/agentica/feature-4.png" alt="Agentica feature" class="w-full max-w-md rounded-xl brightness-[0.85]"/></div><div class="flex-1 flex flex-col justify-start lg:justify-center w-full"><section class="relative overflow-hidden flex flex-col gap-1 max-w-[590px]"><p class="font-arizona-mix mt-6 max-w-xl text-[22px] leading-[1.4] tracking-[-0.5px] text-white">Agentica provides agents with the ability to iteratively decompose, investigate, and dynamically solve problems by equipping them with the single most expressive mechanism: arbitrary code execution.</p><div class="font-arizona-sans mt-4 max-w-2xl text-[16px] leading-6 space-y-4 text-white/60"><p>Leveraging types and composition, two of the fundamental building blocks of category theory, we enable users to build multi-agent systems that deliver state of the art performance on top of any model.</p></div></section><div class="mt-8 flex flex-row flex-wrap items-start gap-3"><a href="https://agentica.symbolica.ai"><span class="group/btn inline-flex items-center gap-2.5 font-mono font-medium uppercase rounded-full transition-colors duration-200 cursor-pointer w-fit text-sm px-6 py-3 bg-transparent text-white border border-white/30 hover:border-white/60"><span class="w-5 h-5 rounded-full flex items-center justify-center transition-colors duration-200 bg-white"><svg xmlns="http://www.w3.org/2000/svg" class="w-2.5 h-2.5 text-[#0a0a0a]" fill="none" viewBox="0 0 24 24" stroke="currentColor" stroke-width="3"><path stroke-linecap="round" stroke-linejoin="round" d="M17 8l4 4m0 0l-4 4m4-4H3"></path></svg></span>Try Agentica</span></a></div></div></div></div></div></section><section class="relative bg-[#FFFDF0] mb-[-6rem] md:mb-[-9rem] overflow-hidden"><div class="relative z-10 mx-auto max-w-[96rem] px-8 pt-32 pb-40 md:pt-40 md:pb-48 lg:px-24"><div class="flex flex-col lg:flex-row lg:items-stretch lg:justify-between"><div class="relative flex-1 lg:pr-16"><div class="absolute inset-0 -left-24 -top-32 -bottom-40 md:-top-40 md:-bottom-48 backdrop-blur-md bg-[#FFFDF0]/5 2xl:border-l 2xl:border-black/10"></div><div class="hidden lg:block absolute right-0 top-0 bottom-0 w-px bg-black/10" style="top:-10rem;bottom:-12rem"></div><div class="relative z-10"><section class="relative overflow-hidden flex flex-col gap-1 max-w-[590px]"><div class="font-ibm-plex-mono text-[13px] font-medium uppercase tracking-[0.2em] text-black/60">San Francisco & London</div><h2 class="font-arizona-mix mt-4 max-w-2xl text-[42px] leading-[1.1] tracking-[-1.5] lg:text-[50px] text-pretty text-[#0a0a0a]">Careers</h2><p class="font-arizona-mix mt-6 max-w-xl text-[22px] leading-[1.4] tracking-[-0.5px] text-[#0a0a0a]">Symbolica is a world-class team of researchers and engineers, with offices in San Francisco and London.</p><div class="font-arizona-sans mt-4 max-w-2xl text-[16px] leading-6 space-y-4 text-[#0a0a0a]/60"><p>We are united by deep experience in building mathematically grounded AI systems, bringing experience from leading institutions and companies including Tesla AI, Meta, HFT Funds, Snap Research, TikTok, Wolfram, Imperial College London, Cambridge, and Oxford.</p></div></section><div class="mt-10"><a href="/careers"><span class="group/btn inline-flex items-center gap-2.5 font-mono font-medium uppercase rounded-full transition-colors duration-200 cursor-pointer w-fit text-sm px-6 py-3 bg-transparent text-[#0a0a0a] border border-[#0a0a0a]/30 hover:border-[#0a0a0a]/60"><span class="w-5 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