VividCloud

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Agentic AI is moving fast in #insurance, but buying isolated agents isn’t the answer. The future is multi‑agent ecosystems: many agents across vendors and frameworks, working together through orchestration, governance, and shared context. Real automation doesn’t come from a single “smart” agent, but from systems that coordinate intelligence, enforce control, and scale safely. Don’t buy agents in isolation. Invest in an agentic ecosystem built for the enterprise. Click to learn more ->

🎯 VividCloud Earns AWS GenAI Competency We just joined an extremely small club: VividCloud earned the AWS GenAI Competency. Less than 0.5% of AWS partners have this credential. 🔍 What This Actually Means The GenAI Competency is AWS's most rigorous partner validation. We had to prove everything: ✅ Certified engineering team across AI Practitioner, Solutions Architect, DevOps, Security Specialty ✅ Production AI systems running live workloads (not demos) ✅ Independent third-party technical audit ✅ Security controls, disaster recovery, operational runbooks AWS doesn't hand these out. They verify you can ship production AI that works. 💪 What We Bring Veteran Enterprise Architects. Deep industry experience in manufacturing, warehouses, insurance, GIS, legal, and SaaS. We understand your operational systems because we've built for them before. Global Teams, Competitive Rates. New England-based architects and project managers coordinating scalable offshore development teams. Enterprise expertise without enterprise costs. AWS Depth. Advanced Tier Partner with specializations in Migration, App Modernization, DevOps, Security, IoT, and Cost Optimization. The GenAI Competency is the latest addition to our AWS credentials. 🚀 What This Unlocks AWS POC Funding Access We can now qualify client projects for AWS POC funding. AWS puts real money behind qualified AI initiatives. Product Organization Access Early access to new AWS AI features, development priority discussions, and testing programs. Our clients benefit from faster adoption. If you're evaluating AI projects, let's talk. POC funding qualification takes time. Start early. Click here for full article -> https://lnkd.in/eWa-m-MS By our AI Lead Dylan Kenney

Warehouse automation is moving to the cloud for a practical reason: modern facilities generate more data and require more compute than most on-prem systems can support. This doesn’t mean control leaves the building. Real-time execution stays local, while the cloud handles optimization, analytics, AI models, and cross-site coordination. The companies succeeding aren’t just “moving to the cloud.” They’re designing architectures that clearly separate edge execution from cloud orchestration and remain resilient when connectivity fluctuates. Our Founder/COO has written a detailed blog on the topic. Click to check out the full article and see if your company qualifies for PoC funding from AWS: https://lnkd.in/gMcCgtbz

A few weeks ago we shared that VividCloud earned the AWS GenAI Competency. Here's why the infrastructure AWS built around it actually matters for your project. There's a pattern AWS noticed across enterprise AI initiatives: the demo works, the budget gets approved, and then the real requirements surface. Security boundaries. Compliance controls. Observability. Operational handoffs. What started as a promising prototype stalls before it ever reaches production. AWS built a structured response to that pattern. Three things worth understanding: 1. The Competency is a production filter, not a marketing badge. Earning it requires an independent technical audit of real deployments covering architecture decisions, security boundaries, disaster recovery, and operational handoffs. It's how AWS knows who actually ships production AI vs. who demos well. 2. AWS backs qualified projects with real funding. GenAI Competency partners can nominate client projects for PoC funding, often covering a significant portion of implementation costs. For enterprises trying to prove AI value before committing full production budgets, this changes the risk calculus entirely. 3. Production readiness is the actual differentiator. Anyone can hook an LLM up to documents. Moving to production requires security frameworks, evaluation pipelines, and support structures most internal teams haven't built before. The Competency validates we've already solved those problems in audited, real customer deployments. AWS is betting on projects they believe will scale. In our next post, we'll walk through exactly how to qualify for that funding and why timing matters more than most people realize. 📖 Read the full article → https://lnkd.in/gXEdEC4W 

We met Kathy Martin and MBS last year at the Esri Partner Conference. MBS is a Gold Tier Partner in the Esri Network. VividCloud developed a suite of Accelerators to automate deployment of both AWS Landing Zones and ESRI ArcGIS Enterprise environments—helping Esri customers migrate faster, with less risk, and greater confidence. Since then we have been collaborating with MBS on several opportunities and look forward to many more. VividCloud will attending the conference again this year, so if you would like to talk about a secure, resilient, and well-architected cloud migration solution for ArcGIS, VividCloud and MBS are ready. Please reach out we'll make sure to connect with you at the conference, or at any time: https://lnkd.in/ehx2ANDQ

A few weeks ago we shared that VividCloud earned the AWS GenAI Competency. Here's why the infrastructure AWS built around it actually matters for your project. There's a pattern AWS noticed across enterprise AI initiatives: the demo works, the budget gets approved, and then the real requirements surface. Security boundaries. Compliance controls. Observability. Operational handoffs. What started as a promising prototype stalls before it ever reaches production. AWS built a structured response to that pattern. Three things worth understanding: 1. The Competency is a production filter, not a marketing badge. Earning it requires an independent technical audit of real deployments covering architecture decisions, security boundaries, disaster recovery, and operational handoffs. It's how AWS knows who actually ships production AI vs. who demos well. 2. AWS backs qualified projects with real funding. GenAI Competency partners can nominate client projects for PoC funding, often covering a significant portion of implementation costs. For enterprises trying to prove AI value before committing full production budgets, this changes the risk calculus entirely. 3. Production readiness is the actual differentiator. Anyone can hook an LLM up to documents. Moving to production requires security frameworks, evaluation pipelines, and support structures most internal teams haven't built before. The Competency validates we've already solved those problems in audited, real customer deployments. AWS is betting on projects they believe will scale. In our next post, we'll walk through exactly how to qualify for that funding and why timing matters more than most people realize. 📖 Read the full article → https://lnkd.in/gXEdEC4W 

Warehouse automation is moving to the cloud for a practical reason: modern facilities generate more data and require more compute than most on-prem systems can support. This doesn’t mean control leaves the building. Real-time execution stays local, while the cloud handles optimization, analytics, AI models, and cross-site coordination. The companies succeeding aren’t just “moving to the cloud.” They’re designing architectures that clearly separate edge execution from cloud orchestration and remain resilient when connectivity fluctuates. Our Founder/COO has written a detailed blog on the topic. Click to check out the full article and see if your company qualifies for PoC funding from AWS: https://lnkd.in/gMcCgtbz

VividCloud in rare company with so few AWS Partners having yet earned the AI competencies. Pravin Tiwari Martin Geiger Robert Sullivan Hamid Montazeri John Hogan

It was a lot of work to achieve this AWS competency, and we are proud of it! We get a Gold for this one. 🥇