https://goagi.lovable.app/assets/Home-TpE9Ov7s.js

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Automated alerts and status reports supporting key operational responsibilities."}]},{title:"Operations automation",goal:"Full or partial automation of infrastructure monitoring, maintenance planning, and network management.",approach:"Automating complex operations using computer vision, agentic workflows, and both open-weight and proprietary trained models.",examples:[{h:"Predictive maintenance:",body:"Identifying weakest links in the infrastructure from historical performance, maintenance and environment data."},{h:"Failure event response:",body:"Automated fault localisation from grid sensors, historical data and external infrastructure data."},{h:"Load and demand balancing:",body:"Agentic system for real-time modelling of electrical grid demands and loads."}]}];return e.jsx("section",{id:"opportunities",className:"border-t border-border scroll-mt-20",children:e.jsxs("div",{className:"container-prose py-16 md:py-20",children:[e.jsx("div",{className:"flex items-start justify-end gap-4",children:e.jsx(h,{sectionId:"opportunities",label:"Examples of opportunities"})}),e.jsx("h2",{className:"mt-2 text-3xl md:text-4xl font-semibold text-ignitis-blue max-w-3xl",children:"Examples of opportunities"}),e.jsx("p",{className:"mt-4 text-muted-foreground max-w-3xl leading-relaxed",children:"We should explore opportunities at all levels of AI adoption with our selected partners. 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Each tab uses the client's actual prompts and connected data sources."}),e.jsx("div",{className:"mt-4 flex flex-wrap gap-2",children:w.map(t=>{const o=t.id===s;return e.jsx("button",{onClick:()=>a(t.id),className:`rounded-md border px-3 py-2 text-sm transition ${o?"border-accent bg-accent text-accent-foreground font-medium":"border-border bg-background text-muted-foreground hover:text-foreground hover:border-accent"}`,children:t.label},t.id)})}),e.jsxs("div",{className:"mt-6 rounded-md border border-amber/40 bg-amber/10 px-4 py-3 text-sm text-foreground flex gap-3",children:[e.jsx(y,{className:"h-4 w-4 mt-0.5 text-amber shrink-0"}),e.jsx("div",{children:s==="dealership"?e.jsxs(e.Fragment,{children:[e.jsx("span",{className:"font-medium",children:"This customer is a large regional car dealership."})," We connected their existing CRM and GA4 Analytics to a local data chat and gave their leadership direct access to ask questions of their own sales and marketing data in plain language. Within the first two sessions, with no analyst and no dashboards, the team discovered the following about their business:",e.

3jsxs("ul",{className:"mt-3 list-disc pl-4 space-y-1.5",children:[e.jsxs("li",{children:[e.jsx("span",{className:"font-medium",children:"One in three lost deals died from inactivity, not competition."})," Of 24 lost deals across two months, 33% were offers that simply expired without follow-up, the single biggest loss reason, and entirely fixable. Only 17% were lost to a competitor."]}),e.jsxs("li",{children:[e.jsx("span",{className:"font-medium",children:"A full sales picture in seconds."})," 409 leads added, 252 closed, 120 deals, and €3.67M in contract value for the month, set against €541K in discounts, a figure the team had never seen tracked in one place."]}),e.jsxs("li",{children:[e.jsx("span",{className:"font-medium",children:"Paid traffic quality had nearly doubled year on year."})," Paid Search bounce rate fell from ~50% to 26% and session duration rose to over 3.5 minutes, revealing the team had traded volume for far higher-intent buyers, and it was working."]})]}),e.jsx("p",{className:"mt-3",children:"Full data, metrics, and client references available upon request or during a live demo."})]}):e.jsxs(e.Fragment,{children:[e.jsx("span",{className:"font-medium",children:"This customer is an international apparel brand."})," We connected their internal product data and layered on continuous scraping of 28 competitor websites, giving their leadership a live view of their own catalogue and the wider market in one place. Within the first sessions, the team discovered the following about their business:",e.jsxs("ul",{className:"mt-3 list-disc pl-4 space-y-1.5",children:[e.jsxs("li",{children:[e.jsx("span",{className:"font-medium",children:"Full pricing and stock history on demand."})," A 90-day product history returned instantly: flat pricing across every variant against constant stock movement, with each size in and out of stock on specific dates. A pattern that would normally take an analyst days to compile."]}),e.jsxs("li",{children:[e.jsx("span",{className:"font-medium",children:"Live competitive pricing across 28 sites."})," Continuous market scraping showed exactly where their products sat against competitors on price and availability, automatically updated, no manual research."]}),e.jsxs("li",{children:[e.jsx("span",{className:"font-medium",children:"Stock gaps and demand signals surfaced automatically."})," Variants out of stock for entire periods, restock timing, and availability gaps were flagged directly, turning raw catalogue data into pricing and inventory decisions."]})]}),e.jsx("p",{className:"mt-3",children:"Full data, metrics, and client references available upon request or during a live demo."})]})})]}),e.jsx("div",{className:"mt-6",children:e.jsx(L,{variant:s,onVariantChange:a})})]})})}function te(){const s=[{lead:"Digital twin of operations",rest:"supply-chain and procurement data, 3D and functional equipment information, maintenance logs, and inspection reports (including video and imagery from actual maintenance) combined into a single live digital copy of operations over the physical network."},{lead:"AI Copilot for management and specialists",rest:"instant answers and analysis across the digital twin, operational systems, and ESO's own knowledge base."},{lead:"Organisation transparency",rest:"opportunity for company management to quickly understand the current state of the organisation from day-to-day operations."},{lead:"Real-time network disruption prediction",rest:"weather, sensor, SCADA, and public infrastructure data tracked continuously to forecast and prevent outages before they hit, feeding directly into the network state your teams and customers already watch."},{lead:"Long-term strategic forecasting",rest:"investment models trained on ESO historical data for energy demand, infrastructure ROI, and regulatory scenarios."}];return e.jsx("section",{id:"for-eso",className:"border-t border-border bg-surface-green scroll-mt-20",children:e.jsxs("div",{className:"container-prose py-16 md:py-20",children:[e.jsx("div",{className:"flex items-start justify-end gap-4",children:e.jsx(h,{sectionId:"for-eso",label:"What we could build for ESO"})}),e.jsx("h2",{className:"mt-2 text-3xl md:text-4xl font-semibold text-ignitis-blue max-w-3xl",children:"What we could build for ESO"}

3),e.jsx("p",{className:"mt-4 text-foreground/90 max-w-3xl leading-relaxed",children:"ESO has committed to a major digitalisation of its network. A private, on-premise AI system connecting ESO's operational and infrastructure data with multi-modal models is a direct route to that goal, giving your teams instant access to decades of engineering knowledge."}),e.jsx("ul",{className:"mt-8 grid gap-3 md:grid-cols-2",children:s.map((a,t)=>e.jsxs("li",{className:"card-panel p-5 text-sm text-foreground/90 leading-relaxed",children:[e.jsx("span",{className:"font-medium text-foreground",children:a.lead}),": ",a.rest]},t))})]})})}function se(){const s=[{title:"Data ingestion & preparation",groups:[{h:"AI datasets",items:["Structured datasets from ESO internal data: operational (e.g. maintenance records), engineering, and other","Structured datasets from external sources: weather, satellite imagery for demand and inspection, digital twins (e.g. 3D scanning)"]},{h:"Data cleaning tools",items:["Custom format parsing","Multi-lingual translation"]}]},{title:"Conversational interface",groups:[{h:"Chatbot infrastructure",items:["Efficient local models: fast, private, on your hardware","Searchable conversation history","Natural language queries on internal knowledge","Answers traceable to source document","RAG pipeline on ESO private data"]}]},{title:"Productisation & scaling",groups:[{h:"Infrastructure",items:["Go1 Private AI Appliance deployed and scaled on-premise","Optimised for speed, cost, and output quality","Fully owned by ESO, with no cloud dependency"]},{h:"Product",items:["Productised chatbot for the chosen ESO application","Fine-tuned model on ESO proprietary data","New use cases added on the same infrastru

3cture"]}]}];return e.jsx("section",{id:"first-steps",className:"border-t border-border scroll-mt-20",children:e.jsxs("div",{className:"container-prose py-16 md:py-20",children:[e.jsx("div",{className:"flex items-start justify-end gap-4",children:e.jsx(h,{sectionId:"first-steps",label:"First steps"})}),e.jsx("h2",{className:"mt-2 text-3xl md:text-4xl font-semibold text-ignitis-blue max-w-3xl",children:"First steps"}),e.jsxs("div",{className:"mt-4 space-y-3 text-foreground/90 max-w-3xl leading-relaxed",children:[e.jsx("p",{children:"We start by identifying the key potential applications of AI across ESO's different levels of readiness, then evaluate the feasibility of each and choose the most valuable one to begin with."}),e.jsxs("p",{children:["Once the key application is chosen, we can start with ",e.jsx("strong",{children:"(i) data ingestion and preparation"})," where AI and software solutions are already in use."]}),e.jsxs("p",{children:["We then proceed by ",e.jsx("strong",{children:"(ii) adding a conversational interface"})," to ask questions about this data to confirm that substantial business value can be unlocked by AI."]}),e.jsxs("p",{children:["When confirmed, we move to ",e.jsx("strong",{children:"(iii) productisation and scaling"})," of it for a chosen application. The table below outlines what is possible. Where to start depends on your data and priorities. We define that together."]})]}),e.jsx("div",{className:"mt-8 grid gap-4 md:grid-cols-3",children:s.map(a=>e.jsxs("div",{className:"card-panel p-6 flex flex-col",children:[e.jsx("h3",{className:"text-lg font-semibold text-foreground",children:a.title}),e.jsx("div",{className:"mt-4 space-y-5",children:a.groups.map(t=>e.jsxs("div",{children:[e.jsx("div",{className:"text-sm font-medium text-foreground",children:t.h}),e.jsx("ul",{className:"mt-2 space-y-2 text-sm text-foreground/80",children:t.items.map((o,c)=>e.jsxs("li",{className:"flex gap-2",children:[e.jsx("span",{className:"text-accent",children:"·"}),e.jsx("span",{children:o})]},c))})]},t.h))})]},a.title))})]})})}

3function ae(){const s=["Reliable and transparent infrastructure operations","Faster management decisions with traceable reasoning","Instant answers from decades of internal knowledge","Consumer intelligence from your own operational data","Network and infrastructure intelligence from your own operational data"],a=["A foundation for AI-first physical infrastructure operations","All AI runs inside ESO infrastructure, with zero data egress","An AI-ready data asset that grows in value over time","No dependency on any cloud provider or external AI vendor","A proprietary model that compounds, and competitors cannot replicate it"];return e.jsx("section",{id:"what-you-get",className:"border-t border-border bg-surface scroll-mt-20",children:e.jsxs("div",{className:"container-prose py-16 md:py-20",children:[e.jsx("div",{className:"flex items-start justify-end gap-4",children:e.jsx(h,{sectionId:"what-you-get",label:"What ESO gets"})}),e.jsx("h2",{className:"mt-2 text-3xl md:text-4xl font-semibold text-ignitis-blue max-w-3xl",children:"What ESO gets"}),e.jsx("p",{className:"mt-4 text-muted-foreground max-w-3xl leading-relaxed",children:"Below we list desired business outcomes and strategic advantages to be achieved during this co-pilot project with us."}),e.jsxs("div",{className:"mt-8 grid gap-4 md:grid-cols-2",children:[e.jsxs("div",{className:"card-panel p-6",children:[e.jsx("h3",{className:"text-lg font-semibold text-foreground",children:"Business outcomes"}),e.jsx("ul",{className:"mt-4 space-y-3 text-sm text-foreground/90",children:s.map(t=>e.jsxs("li",{className:"flex gap-2",children:[e.jsx("span",{className:"text-accent",children:"·"}),e.jsx("span",{children:t})]},t))})]}),e.jsxs("div",{className:"card-panel p-6",children:[e.jsx("h3",{className:"text-lg font-semibold text-foreground",children:"Strategic advantages"}),e.jsx("ul",{className:"mt-4 space-y-3 text-sm text-foreground/90",children:a.map(t=>e.jsxs("li",{className:"flex gap-2",children:[e.jsx("span",{className:"text-accent",children:"·"}),e.jsx("span",{children:t})]},t))})]})]})]})})}function ne(){return e.jsx("section",{id:"about",className:"border-t border-border scroll-mt-20",children:e.jsxs("div",{className:"container-prose py-16 md:py-20",children:[e.jsx("div",{className:"flex items-start justify-end gap-4",children:e.jsx(h,{sectionId:"about",label:"About GoAGI"})}),e.jsx("h2",{className:"mt-2 text-3xl md:text-4xl font-semibold text-ignitis-blue max-w-3xl",children:"About GoAGI"}),e.jsxs("div",{className:"mt-8 grid gap-6 md:grid-cols-[1.4fr_1fr]",children:[e.jsxs("div",{className:"card-panel p-6 md:p-8",children:[e.jsx("p",{className:"text-foreground leading-relaxed",children:"GoAGI is an AI data infrastructure company with a 1M+ contributor community spanning 200+ languages and dialects and 300+ expert domains worldwide."}),e.jsx("p",{className:"mt-4 text-foreground leading-relaxed",children:"We deliver high-quality training data for AI model development and bring that expertise on-site by deploying private AI solutions that run on your hardware and your data."}),e.jsx("p",{className:"mt-6 mono text-xs text-muted-foreground",children:"GoAGI Inc. · goagi.ai · [email protected]"})]}),e.jsxs("div",{className:"card-panel p-6 bg-surface",children:[e.jsx("h3",{className:"text-lg font-semibold text-foreground",children:"Credentials"}),e.jsxs("ul",{className:"mt-4 space-y-3 text-sm",children:[e.jsxs("li",{className:"flex gap-3",children:[e.jsx(R,{className:"h-4 w-4 mt-0.5 text-accent"}),e.jsxs("div",{children:[e.jsx("div",{className:"font-medium text-foreground",children:"NVIDIA Inception program"}),e.jsx("div",{className:"text-muted-foreground",children:"Member"})]})]}),e.jsxs("li",{className:"flex gap-3",children:[e.jsx(M,{className:"h-4 w-4 mt-0.5 text-accent"}),e.jsxs("div",{children:[e.jsx("div",{className:"font-medium text-foreground",children:"UC Berkeley Haas"}),e.jsx("div",{className:"text-muted-foreground",children:"Partner"})]})]})]})]})]})]})})}export{le as default};