B2B ad examples

Hystax Acura automates VM migration to any KVM-based platform — OpenStack, KubeVirt, Red Hat OpenShift Virtualization and more — with background replication and instant cutover. No app changes, no downtime.

Hystax provides SMBs and enterprises with unique any-to-any migration software, which helps them move to the cloud quickly and effortlessly. Would you like to take a look at our use cases?

I hired new 5 employee, none of them are human. a year ago, stepping away for a week would've meant chaos. now? I’m getting closer to the business running without me because I built a team of AI agents that don’t need me to show up every day. Plus … I’m less than 50 days to being a first-time dad, so it’s a must for me personally. here’s my growing team… → margot runs my 8am briefing. reads overnight slack and inbox, posts a plain-english rundown before i'm even awake. → theo watches my inbox. drafts replies to brand emails, flags the ones worth real money, waits for my approval before anything sends. → nora scans my calls, notes, and voice memos. turns each moment into content drafts ready for me to edit. → otis analyzes my audience. tells me what's resonating and what's not so i'm not guessing. → june coordinates deals. tracks timelines, follows up, keeps nothing from falling through. and they don't just work for me. they work with each other. theo routes the big brand deals to june, and otis tells nora what's worth writing about and I built this system fully in Hyperagent and they're the reason I can now actually step back when the baby comes. This isn't about productivity hacks, it's about building a business that doesn't mean manual labor for you at every step Hyperagent is giving the first 500 people who sign up for a paid plan an extra $500 in credits. Claim yours: https://lnkd.in/gAzdamFs #HyperagentPartner

Breaking news: Customer service still kinda…sucks. I hit the streets to ask people if they think customer service is bad. The verdict? A resounding “YES.” Every. Single. Time. The problem isn’t that customers can’t get answers. It’s that getting them feels like pulling teeth. Clunky tech, endless phone menus, and AI that doesn’t really understand? Yeah, people are over it. That’s why we do things differently. At Interactions, we blend Conversational AI with real human intelligence to create seamless, frustration-free experiences that actually help people. And for businesses? That means happier customers, stronger relationships, and new revenue opportunities. Bad CX is costing companies more than they realize. If you’re in the business of fixing broken CX (and unlocking new revenue streams while you’re at it), let’s talk. Because bad customer service isn’t just annoying, it’s costing you.

AI is smart. But is it smart enough on its own? 🤔 Look, I love AI—it’s fast, efficient, and never takes a sick day. But let’s be real… we’ve all had those moments where AI totally misses the mark, leaving us yelling “REPRESENTATIVE!!” into the void. That’s why the best customer experiences don’t rely on AI alone. They combine AI’s speed with human intelligence, creating seamless, frustration-free interactions that actually help people. And for businesses, that’s not just good CX—it’s a massive opportunity. Partners who bring true Conversational AI + human understanding into their offerings don’t just improve customer experiences – they stand out, drive more revenue, and build stronger relationships in the process. What’s the worst AI customer service fail you’ve experienced? Drop your stories in the comments. Let’s stop bad customer service in its tracks— you in? ⬇️

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We handle everything from data preprocessing to model training, GPU procurement, and more. Go from zero to production in 30 days or less.

Our booth was absolutely buzzing with visitors, we had incredible interactions, answered a lot of questions, and ran back-to-back live demos showcasing how AI is driving smarter decision-making. The day featured an inspiring panel on “Enterprise AI at Scale” with our CEO Ashish Ipe Koshy, who shared how AI is fuelling innovation, automation, and intelligent decision-making across industries, from logistics and manufacturing to service-driven sectors. Lauren Phillips, Director of Program Management (Qudratech) at Inception, joined a thought-provoking session on “Reimagining Education”, highlighting how AI-powered upskilling is building smarter systems, empowering educators, and preparing the next generation for an AI-driven future. We also signed strategic partnerships to achieve measurable, enterprise-scale outcomes marking another milestone in our mission to accelerate AI adoption and impact. It’s been an incredible day of learning, sharing, and connecting. Thank you to everyone who stopped by! Watch the highlights from Day 2 at GITEX GLOBAL 2025 and see the excitement for yourself! #Inception #G42 #GITEX2025 #AI #Innovation #FutureOfWork #EnterpriseAI #Education #InceptionAI #Technology #GITEXGlobal

Day 3 at GITEX 2025 was all about exploring how Agentic AI is reshaping discovery, decisions, and industries. From an insightful panel featuring our CEO Ashish Ipe Koshy on “How Agentic AI is Rewriting the Rules of Discovery and Decision-Making” to exclusive sessions with Mohammed Shayan and Anuj Sharma showcasing how (In)Alpha is transforming private equity, innovation took centre stage. Visitors also experienced hands-on demos of our flagship platforms including (In)Sight, (In)Alpha, (In)Media, and (In)Procurement, witnessing how AI continues to drive measurable impact across sectors. The conversations, collaborations, and curiosity on display made Day 3 another step forward in shaping the future of intelligent enterprise. #Inception #G42 #GITEX2025 #AI #Innovation #FutureOfWork #EnterpriseAI #Education #InceptionAI #Technology #GITEXGlobal

Local compute with top latency performance. Pay for results, not usage: Up to 80% cheaper and 2x faster than hyperscalers. Hyperfusion. Don’t wait.

What does purpose-built for semantic-hybrid search look like?

Transform your vision into reality with Pinecone's advanced vector database platform. Experience unparalleled performance and reliability tailored for the demands of modern software development.

Build, Train, Deploy AI. Pay for results, not usage.

Streamline and triage your client communications with Donna AI. With integrations for email, SMS, WhatsApp, and more.

▶▶▶ Eliminate manual data entry from police reports and supercharge your claims processing. ▶▶▶ Request a demo today.

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Mass-market autonomy is as much an economic challenge as it is a technical one. For an automaker, the "brute-force" approach—requiring massive capital and endless data collection—is no longer a viable path to production. Today, we are announcing the expansion of Helm.ai Driver to change that equation. Helm.ai Driver is a production-ready, vision-only software stack now capable of urban autonomy. It allows OEMs to deploy high-end Level 2+ systems immediately, while using the exact same underlying architecture to unlock Level 3 and Level 4 capabilities as their roadmaps evolve. Our AI architecture is designed specifically to help the industry move past the “Data Wall”: 🔹 Unprecedented Efficiency: Powered by Deep Teaching™, our system reached this level of maturity using only 1,000 hours of real-world data—bypassing the need for millions of miles of training. 🔹 Certifiable Safety: We are moving the industry past the monolithic “end-to-end” black box. By splitting autonomy into distinct Perception and Policy layers, we provide the transparent, auditable foundation required for ISO 26262-certifiable deployments. 🔹 Global Generalization: Paired with Semantic Simulation, our system trains on infinite geometric scenarios, allowing for global scalability without the prohibitive cost of city-by-city data collection. 🎥 Watch the video below to see the Helm.ai Driver navigating Redwood City, CA. The system autonomously handles intersections, traffic lights, and dynamic road users. It is safely supervised in accordance with standard testing protocols, with the safety driver requesting lane changes and turns via the turn signal. The future of autonomy isn't about the volume of data—it’s about the efficiency of the architecture. We are providing the only realistic path to mass-market autonomous deployment. 📰 Read the full announcement: https://lnkd.in/gm5EyvHJ #AutonomousDriving #ADAS #ArtificialIntelligence #DeepLearning #MachineLearning #AutomotiveTech #ComputerVision

Thousands of B200 and B300 GPUs coming online in 2–3 months. Your roadmap can't wait 8.

We built our data centers differently. That's why we can deliver B200s and B300s faster than anyone else.

We’ve hit the new industry benchmark for generative simulation by delivering five times the pixel density of current standards! Our foundation models, VidGen-3 and GenSim-3, are the first to generate native Full HD (2MP) resolution per camera across a synchronized 6-camera surround view. This produces a 12-megapixel fully synchronized synthetic canvas per timestep. The breakthrough is critical for the "sim-to-real" transition. Training a Full HD perception stack on sub-HD synthetic data creates a significant domain gap that hinders real-world performance. By achieving native hardware parity, we ensure that autonomous systems are trained on the exact pixel density they will encounter on the road. Our platform provides two powerful methods for data generation: 🔵 VidGen-3 creates entirely synthetic driving sequences from scratch to bridge geographic and environmental data gaps 🔵 GenSim-3 performs high-fidelity scene transfer by re-stylizing real-world footage to change parameters like weather, lighting, and textures. We achieved this resolution milestone using an optimized cluster of only hundreds of GPUs rather than thousands. This massive compute efficiency makes high-fidelity simulation commercially viable for global automakers and accelerates the path to safe, scalable autonomy. Read the full announcement: https://lnkd.in/gpUaeKyE

I'm speaking at Holo AI Night - SF Edition on July 13 in San Francisco. It turns out the best way to understand agent failures is to talk about them. I'll do my best to cover: → Building computer-use agents at H Company → The gap between test-time performance and real-world deployment → How we're approaching evaluation I'm stoked to go on stage alongside Akshatha Kamath from NVIDIA, who works on multimodality, and Saksham Consul from Black Forest Labs, who focuses on large scale training! This is H Company's first technical meetup, and what better place than SF? No marketing, just builders talking about real AI work. Space is limited. If you're in SF that week building agent systems, see you there.

Still stuck on "available in Q4" for B200-class GPUs? We're building on-demand clusters so you skip the queue. Early access is open — early signups go first.

InfiniBand, NCCL, Slurm config — standing up a cluster eats weeks. We're building ready-to-use, Slurm-native clusters so you skip setup and just submit. Early access is open.

Scale without limits. 390 Fortune 500 companies trust Higgsfield Enterprise. Full control. Unlimited seats. Priority speed. Dedicated infrastructure. Ready to move faster? Follow the link to learn more.