B2B ad examples

📽️ A five-person Cerebras team approached one of the world’s largest semiconductor manufacturers with a radical proposal — and TSMC backed the vision. And even as one of the global semiconductor leaders, they work with disruptors like Cerebras because the industry’s future depends on new companies that push boundaries, challenge norms, and drive the next wave of innovation. That same spirit won TSMC North America’s Innovation Zone Demo of the Year, earning the highest number of attendee votes across 43 showcased technologies. Watch below with David Greenhill.

C3 AI Inventory Optimization was implemented in 12 weeks, processing 3 years of data and integrating with 6 supply chain systems.

It's 3am. You and 11 of the sharpest people you know are all awake, coffee in hand, reading logs because of a random outage. After digging and scrolling, you type the same question everyone asks in these moments: “What changed?” And you get the same answer: “I don’t know.” To you and your team, the system was fine 8 hours ago and now it isn't, so the next 6 hours are going to be archaeology: → digging through recent deploys, config histories, and git blame → interviewing engineers who made changes 2 days ago about what they remember → trying to reconstruct a picture of a system that no one has ever fully held in their head No one should be losing sleep over something so preventable. Teams are already living in a world where they can ship more code than ever with no 3am wake up calls because they’re using Cielara. Cielara already caught the config change that would have started the outage before it reached production. It knew what the change would affect, the blast radius, and stopped it before anyone got paged. That’s the difference between reacting to production and understanding it. causaldynamics.com

It's always a Tuesday. Always a config change that looked fine – reviewed, approved, merged, routine. Then a service you've never heard of goes dark… Something downstream that nobody documented starts failing, and now you're in a channel with 14 people trying to figure out what you already know deep down. Good news is, this is preventable. We built our flagship product Cielara to run any change against your production world model (a live causal map of your entire infrastructure) before the merge to see what would happen if deployed. What was a 14-person incident channel at midnight becomes a simple two-line fix before anyone leaves for the day. AKA your regularly scheduled Tuesday 🫡 https://lnkd.in/g2v9zwda

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¡Si! En 14 horas puedes hacer muchas cosas, incluso aprender a usar la Inteligencia Artificial como tu aliado y potenciar tu negocio. Deja de perder el tiempo, e inscríbete a nuestros cursos en www.hazloconia.cl 🏷️

Check eligibility and unlock half-price NVIDIA H200 compute* at mid-December launch. https://lnkd.in/eNH9e9hz

Train larger LLMs in less time with NVIDIA H200 GPUs. Apply now for eligibility and secure 50% off at mid-December launch. https://lnkd.in/eEPVEyYU

Deployed at NASCAR, the Australian Open, Major League Soccer, and many other top events, CAMB.AI delivers multilingual, emotion-rich live sports commentary to fans worldwide. 10X your fanbase by completely breaking down language barriers. Book a call to watch a stream today.

I made Forbes 30U30 in Sports! Surprised an “AI CTO” made this category? Read on. It'll make sense. Live sports is chaos in its purest form -- emotion, pressure, unpredictability -- and perfecting speech-to-speech translation under such duress is what toughened our AI to become industry gold standard. Even more, building CAMB.AI has felt similar -- messy, loud, unforgiving at times… but you keep showing up anyway. Startup building is very much THE sport. But the tech and its application to Sports 𝐢𝐬𝐧’𝐭 just what makes this a big deal for me. 𝐈𝐭’𝐬 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐰𝐚𝐲 𝐝𝐞𝐞𝐩𝐞𝐫. If you’ve followed my posts, you know I always sign off with “Mamba mentality.” This isn't branding. It is my compass. Kobe’s mindset shaped my life more than most people can assume. I remember exactly where I was when the news broke about his helicopter crashing. It felt unreal. Still, every late night, every setback, every rock-bottom moment since... he has been the voice in my head saying, “Shut up and just do the work.” So to be recognized by Forbes 30u30 in Sports of all categories… Man. It hits different. It feels like a quiet nod from the universe – almost like Kobe whispering, “Keep pushing bro! Get it!!!” And of course, this isn’t just my win. This is a team win. CAMB.AI wasn’t built in the “expected” places, or with the neatly packaged labels people assume define great AI teams. But like every legendary sports team, we’ve become something bigger by believing in each other. By showing up. By playing above our weight, every single day. By proving that greatness can come from anywhere, as long as the work is undeniable. This recognition isn’t a finish line. It’s a reminder – of who we are, how far we’ve come, and what’s still possible when a team refuses to quit. The real story is still unfolding. Onward with gratitude to my CEO, the CAMB.AI team, our customers, partners and Forbes for the recognition. As always, Mamba mentality. Thank you Kobe. This one is for you 🐍

Industry reports this year show 95% of GenAI pilots never make it to production. 88% stall before deployment, 70%+ never make it beyond proof-of-concept. Most organisations get to 80%… and then hit a wall. The real challenge isn't the AI model, it's: - Data quality and preparation (cited in 85% of AI project failures) - Security and compliance at scale - The edge cases that only emerge in production - Ongoing maintenance, monitoring, and updates - Integration with existing systems - Managing organisational change and adoption The Caitlyn team have spent 14,000 hours perfecting the unglamorous details like security, accuracy, security, and scalability. So you can use purpose-built foundations for your GenAI needs, keeping your engineering talent focused on your actual product road map. When you invest in Caitlyn, you're outsourcing the the security testing, the compliance requirements, the continuous model improvements, so you can focus on what differentiates you in the market. Learn more here: https://lnkd.in/gTCFPmKx #GenAI #AIInfrastructure #GenerativeAI

Most conversational AI platforms optimise for speed and cost. Caitlyn.ai optimises for something harder: trust. When AI gets answers wrong in mission-critical contexts, users stop trusting it entirely. Caitlyn takes a different approach: → Proprietary ingestion and guardrails designed for critical-use accuracy → Data sovereignty. Your data never leaves your cloud environment → Content referencing that shows users exactly where answers come from → White-label deployment that feels native to your product Mission critical organisations trust Caitlyn.ai to surface what matters. Helping farmers access 50 years of agricultural research, surfacing policy documents for government agencies, making decades of cultural knowledge searchable. This is production-ready AI infrastructure for teams who need more than "mostly accurate". https://lnkd.in/g4_pbAtV

Anonymous chatbots are a thing of the past. With blits.ai, it’s human, intelligent, secure and incredibly fast. Meet [blits.ai](http://blits.ai/) at Web Summit Qatar. From internal knowledge for your Customer Service team up to customer-facing Chatbots, Voice Agents and even 3D Metahumans. All powered with robust Agentic AI workflows. Why global leaders trust Blits: - Unmatched Speed: Go from zero to live production in 6 weeks. - Enterprise Ready: Full control over your infrastructure (On-premise, Cloud, or Hybrid). - Real Results: Execute complex tasks with AI agents that represent your brand. Everybody talks about it. Nobody is actually showing it. Blits.ai does. Come meet your future digital partner at our stand. 👇 Secure your private demo slot.

Last quarter, your team shipped 3x more features than the year before. How much of that was actually tested? Drop your app link. We'll email you a free bug report. Your customers shouldn't be the first ones finding bugs in production.

45% of AI-generated code contains security vulnerabilities. That's not a guess. That's a 2025 peer-reviewed study. Your team is shipping faster than ever. But nearly half of what ships has holes in it. Drop your app link. We'll email you a free bug report. Know what's broken before your users do.

Your agent just got a visual production layer. One prompt. +100 images processed. Backgrounds removed, scenes replaced, catalog ready to ship. Bria's Background Removal Skill is composable, agent-native, and built for production volume - not demos.

Creative teams shouldn't have to choose between speed and brand consistency. Generate production-ready campaigns, localized assets, and every creative variation all in one AI workspace.

Corvera (YC W26) is building the context layer for AI-native CPG brands, accelerating the adoption of agents that replace the manual layer around ERPs. A core product challenge: Corvera needed a fully isolated compute environment, spun up instantly with the entire workspace context, as soon as a customer initiated a conversation with their agent. With Blaxel, they got this and more: near-instant sandboxes for secure, isolated compute and a shared filesystem for persistent organizational memory. Today Corvera deploys ~1,000 sandboxes daily on Blaxel and has hit 2x faster performance than competitors across real-world agent workflows. A great example of how agent-native infrastructure unlocks agent-native products. Read the full case study in the comments.

Our YC batchmates at Casco (YC X25) just dropped one of the best technical write-ups I've read this year! René Brandel broke down exactly how North Korean operatives are sneaking malicious code into popular open-source libraries via legitimate-looking PRs. The attack is wild: obfuscated payloads hidden in build config files, blockchain used as permanent hosting that no one can take down, and zombie processes that keep running even after your build exits cleanly. 30+ repos already found with the same fingerprint. Probably hundreds more out there. If you ship anything that touches npm, this is worth 15 minutes of your time. (BYTW, the Casco team used Blaxel sandboxes to safely detonate and analyze the malware, which was cool to see in action 🧨.) Link in first comment 👇

Generic AI wasn't built for your consultancy. So why build your business around it? Environmental consultancies work with specialist terminology, technical data, client information and regulatory requirements. Generic AI tools don't understand any of that, and often can't guarantee where your data goes once you use them. Cortex is built differently. 🔐 Keep control of your data Deploy Cortex within your own infrastructure - your data stays yours. 🧩 Fit Cortex to your workflows Built around the way your teams actually work, not a one-size-fits-all interface. 🧠 Use your own expertise Give Cortex access to the knowledge and context that make your business different. 🔄 Keep improving Human feedback helps Cortex become more useful over time. Don't bend your business around generic AI. Build AI around your business. Book a 30-minute call to explore what tailored AI could look like for your consultancy.

🕝 Your experts shouldn't be spending hours on admin. In Testing, Inspection & Certification, technical expertise is at the heart of what you deliver. Yet skilled specialists can spend hours producing reports, completing documentation and handling repetitive tasks that don't require their full expertise. The result? Lost capacity. Every hour spent on repetitive admin is time that could be used for complex assessments, face-to-face client time, consulting and projects that move your business forward. Tailored AI can help: 📄 Draft reports and documentation from existing information 📊 Extract and organise technical data 🖋 Handle repetitive, text-heavy processes ⌛ Give specialists more time for work that requires their expertise, including working directly with clients The goal isn't to replace your people. It's to make better use of their skills. Generic AI isn't built around your technical language, regulatory requirements or workflows. At Brainpool, we build AI around your business, using your processes, knowledge and requirements. Curious where AI could free up capacity in your business? Book an AI consultancy call with our team, and we'll explore the opportunities.

BSP now expects every supervised institution to run an AI governance framework. Most conversational AI tools were never built for that. Blits.ai ships with guardrails, a model inventory, human review and a full audit trail, across one platform for every banking use case. Let us map yours on a whiteboard.

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