eSmart Systems

What if you could take models from concept to production in minutes? 🤯⏱️ Recently, we officially launched 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼 𝗯𝘆 𝗲𝗦𝗺𝗮𝗿𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀. The first full-stack platform that lets you build custom computer vision models in minutes. 𝘕𝘰 𝘮𝘢𝘤𝘩𝘪𝘯𝘦 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘦𝘹𝘱𝘦𝘳𝘵𝘪𝘴𝘦? No problem. 𝘕𝘰 𝘮𝘰𝘯𝘵𝘩𝘴 𝘰𝘧 𝘥𝘢𝘵𝘢 𝘢𝘯𝘯𝘰𝘵𝘢𝘵𝘪𝘰𝘯? We’ve got you covered. Powered by our Adaptive AI, 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀 ~𝟵𝟵% 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 across benchmarks and allows you to build working detectors and classifiers from just a few example images. 𝗢𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. 𝗧𝗵𝗿𝗲𝗲 𝗰𝗼𝗿𝗲 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: 1️⃣ Model Builder: Create custom detectors and classifiers from a handful of images, no ML expertise required 2️⃣ Model Garden: Our library of advance utility models at your fingertips. 3️⃣ Pipeline Builder: Drag-and-drop AI workflows ready for API deployment and use by AI Agents.

We are thrilled to announce the official launch of 𝐀𝐈 𝐒𝐭𝐮𝐝𝐢𝐨 𝐛𝐲 𝐞𝐒𝐦𝐚𝐫𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬! For too long, the promise of AI has been held back by a "customization barrier." Utilities have unique assets and local standards, but building custom AI used to require a massive team of data scientists and months of training. 𝐀𝐈 𝐒𝐭𝐮𝐝𝐢𝐨 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠. Built on our patent-pending Adaptive AI, it allows any utility or tech company to explore, create and deploy custom computer vision models in minutes, not weeks. With AI Studio you can: 🔹 𝐄𝐱𝐩𝐥𝐨𝐫𝐞: Tap into our "Model Garden" to explore utility asset models trained on millions of images. 🔹 𝐂𝐫𝐞𝐚𝐭𝐞: Build personal models from just a handful of images. 🔹 𝐃𝐞𝐩𝐥𝐨𝐲: Connect directly to AI Agents and existing workflows via API.

We are thrilled to announce the official launch of 𝐀𝐈 𝐒𝐭𝐮𝐝𝐢𝐨 𝐛𝐲 𝐞𝐒𝐦𝐚𝐫𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬! For too long, the promise of AI has been held back by a "customization barrier." Utilities have unique assets and local standards, but building custom AI used to require a massive team of data scientists and months of training. 𝐀𝐈 𝐒𝐭𝐮𝐝𝐢𝐨 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠. Built on our patent-pending Adaptive AI, it allows any utility or tech company to explore, create and deploy custom computer vision models in minutes, not weeks. With AI Studio you can: 🔹 𝐄𝐱𝐩𝐥𝐨𝐫𝐞: Tap into our "Model Garden" to explore utility asset models trained on millions of images. 🔹 𝐂𝐫𝐞𝐚𝐭𝐞: Build personal models from just a handful of images. 🔹 𝐃𝐞𝐩𝐥𝐨𝐲: Connect directly to AI Agents and existing workflows via API. The future of infrastructure isn't just AI, it’s Adaptive AI. Read full press release ➡️https://lnkd.in/e-AbQ3bN

Ready to rethink grid resilience? 🤔 You don't want to miss this engaging podcast 👉 https://lnkd.in/e2KGj5zF on how AI-powered mitigation strategies are helping utilities shift from reactive fixes to community-first resilience. In this episode, Ian Perterer and Donald McPhail dive into how AI and digital asset data enable utilities to better plan, prepare, and respond to aging infrastructure and the escalating impacts of extreme weather. If your goal is to keep communities safe, informed, and powered on, this one’s a must-listen. 💡 AESP #GridResilience #AI #GridVision #Energytransition #Wildires #EnergyGrid

Innovation and automation in asset management and inspections were on full display at Skydio Ascend last week Aleksander Borges and the team at Southern Company are deploying drones in real time to investigate potential issues by integrating outage and network data. Put simply, they detect an anomaly, know exactly where it's at, and have a drone inspecting the asset within minutes- all managed remotely from their ariel operations and command center. The upside of faster issue identification and remediation is obvious, but another major advantage is not having to send a lineman directly into a dangerous environment (think driving up to an electrical issue in the rain on a two lane highway). They are unquestionably at the forefront of technology and innovation but are also building the foundation and setting the standard for the future. Thanks Christina Park, PE for leading great utility panels!

"Understanding the risk, being able to quickly escalate, organize, and communicate, and then being able to respond" This is Cullen Armet framing of CenterPoint’s extreme-weather priorities, which they’ve heavily invested in since Hurricane Beryl. The concerted effort and investment in resilience is unquestionably a positive trend in the industry. Customers expect and deserve reliable power during “blue sky days”, but what they need is power to come during and after extreme weather. The difficult (and often thankless) foundation of improving resilience is data. Utilities have millions of assets and customers, diverse terrain, geography, and risk exposure. Missing or inaccurate data for any of these inputs has big consequences for everyone. Centerpoint and Southern Company are taking major steps to clean, centralize, and update their underlying data to improve pre-event planning, identify where the impact will be highest, and enable them to pre-stage crews and resources to respond. CenterPoint now mobilizes resources 2-3 days before expected climate weather events, and Shane Powell, PE's data science team at Southern is improving their impact prediction models day by day. Check out the Smart Electric Power Alliance to dig into process and technologies utilities are deploying in the wildfire mitigation context: https://bit.ly/4AoWqov