{"id":3585,"date":"2026-03-24T22:56:51","date_gmt":"2026-03-24T22:56:51","guid":{"rendered":"https:\/\/aidevlab.com\/?page_id=3585"},"modified":"2026-03-25T17:59:10","modified_gmt":"2026-03-25T17:59:10","slug":"case-studies","status":"publish","type":"page","link":"https:\/\/aidevlab.com\/case-studies\/","title":{"rendered":"Case Studies"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3585\" class=\"elementor elementor-3585\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-44a6fb7 ct-section-stretched elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"44a6fb7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bcd1662\" data-id=\"bcd1662\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cc1ef74 elementor-widget elementor-widget-html\" data-id=\"cc1ef74\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\r\n@keyframes cs-fadeUp {\r\n  from { opacity:0; transform:translateY(18px); }\r\n  to   { opacity:1; transform:translateY(0); }\r\n}\r\n.cs-hero {\r\n  background: #0A1628;\r\n  min-height: 65vh;\r\n  display: flex; flex-direction: column;\r\n  justify-content: center; align-items: center;\r\n  text-align: center;\r\n  padding: 140px var(--gutter, clamp(1.5rem,5vw,4.5rem)) 90px;\r\n  position: relative; overflow: hidden;\r\n}\r\n.cs-hero-glow {\r\n  position: absolute; top: 10%; left: 50%; transform: translateX(-50%);\r\n  width: 700px; height: 400px;\r\n  background: radial-gradient(ellipse, rgba(20,58,162,0.25) 0%, transparent 68%);\r\n  pointer-events: none;\r\n}\r\n.cs-hero > *:not(.cs-hero-glow) { position: relative; z-index: 1; }\r\n\r\n.cs-eyebrow {\r\n  display: inline-flex; align-items: center; gap: 0.75rem;\r\n  font-size: 0.69rem; font-weight: 500; letter-spacing: 0.16em;\r\n  text-transform: uppercase; color: rgba(220,230,245,0.55);\r\n  margin-bottom: 2rem; font-family: 'DM Sans', system-ui, sans-serif;\r\n  opacity: 0; animation: cs-fadeUp 0.7s 0.1s forwards;\r\n}\r\n.cs-eyebrow span { display: inline-block; width: 28px; height: 1px; background: rgba(255,255,255,0.1); }\r\n\r\n.cs-hero h1 {\r\n  font-family: 'Playfair Display', Georgia, serif !important;\r\n  font-size: clamp(2.75rem,5vw,4.75rem) !important;\r\n  font-weight: 500 !important; line-height: 1.08 !important;\r\n  letter-spacing: -0.02em !important;\r\n  max-width: 800px; color: rgba(220,230,245,0.95);\r\n  margin-bottom: 1.875rem !important;\r\n  opacity: 0; animation: cs-fadeUp 0.8s 0.2s forwards;\r\n}\r\n.cs-hero h1 em { font-style: italic; font-weight: 400; color: #E8A820; }\r\n\r\n.cs-hero-sub {\r\n  font-size: clamp(1rem,1.4vw,1.1rem);\r\n  color: rgba(220,230,245,0.65); font-weight: 300; line-height: 1.82;\r\n  max-width: 540px; margin: 0 auto;\r\n  font-family: 'DM Sans', system-ui, sans-serif;\r\n  opacity: 0; animation: cs-fadeUp 0.8s 0.35s forwards;\r\n}\r\n\r\n.cs-hero-stats {\r\n  display: flex; align-items: center; gap: 3rem;\r\n  margin-top: 3.5rem; padding-top: 3rem;\r\n  border-top: 1px solid rgba(255,255,255,0.08);\r\n  opacity: 0; animation: cs-fadeUp 0.8s 0.5s forwards;\r\n}\r\n.cs-hero-stat strong {\r\n  display: block;\r\n  font-family: 'Playfair Display', Georgia, serif;\r\n  font-size: 2.5rem; font-weight: 600;\r\n  color: #E8A820; line-height: 1; margin-bottom: 0.4rem;\r\n}\r\n.cs-hero-stat span {\r\n  font-size: 0.92rem; color: rgba(220,230,245,0.72);\r\n  font-family: 'DM Sans', system-ui, sans-serif; font-weight: 300;\r\n  display: block; line-height: 1.5;\r\n}\r\n.cs-stat-sep { width: 1px; height: 40px; background: rgba(255,255,255,0.1); }\r\n\r\n@media (max-width: 640px) {\r\n  .cs-hero-stats { gap: 1.5rem; }\r\n  .cs-stat-sep { display: none; }\r\n}\r\n<\/style>\r\n\r\n<section class=\"cs-hero adl-section\" aria-labelledby=\"cs-hero-h1\">\r\n  <div class=\"cs-hero-glow\" aria-hidden=\"true\"><\/div>\r\n  <div class=\"cs-eyebrow\"><span><\/span> Client Work <span><\/span><\/div>\r\n  <h1 id=\"cs-hero-h1\">\r\n    Real problems.<br><em>Real systems.<\/em><br>Real outcomes.\r\n  <\/h1>\r\n  <p class=\"cs-hero-sub\">\r\n    The hardest part of any AI project is not the model. It is understanding the operational reality well enough to build something that actually fits inside it. That is where we start every engagement.\r\n  <\/p>\r\n  <div class=\"cs-hero-stats\">\r\n    <div class=\"cs-hero-stat\">\r\n      <strong>99%<\/strong>\r\n      <span>Users satisfied.<br>In live transit.<\/span>\r\n    <\/div>\r\n    <div class=\"cs-stat-sep\" aria-hidden=\"true\"><\/div>\r\n    <div class=\"cs-hero-stat\">\r\n      <strong>Global<\/strong>\r\n      <span>Paratransit to<br>multinational OEMs.<\/span>\r\n    <\/div>\r\n    <div class=\"cs-stat-sep\" aria-hidden=\"true\"><\/div>\r\n    <div class=\"cs-hero-stat\">\r\n      <strong>Federal<\/strong>\r\n      <span>NSF funding awarded<br>and renewed on results.<\/span>\r\n    <\/div>\r\n    <div class=\"cs-stat-sep\" aria-hidden=\"true\"><\/div>\r\n    <div class=\"cs-hero-stat\">\r\n      <strong>Top 30<\/strong>\r\n      <span>CIO Review<br>AI Service Companies.<\/span>\r\n    <\/div>\r\n  <\/div>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4be589e elementor-widget elementor-widget-html\" data-id=\"4be589e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\r\n\/* \u2500\u2500 Case Studies Grid \u2500\u2500 *\/\r\n.cs-grid-section {\r\n  background: #F5F2EB;\r\n  padding: clamp(80px,10vw,120px) var(--gutter, clamp(1.5rem,5vw,4.5rem));\r\n}\r\n.cs-grid-inner { max-width: 1160px; margin: 0 auto; }\r\n\r\n\/* Filter tabs *\/\r\n.cs-filters {\r\n  display: flex; align-items: center; gap: 0.5rem;\r\n  flex-wrap: wrap; margin-bottom: clamp(2.5rem,4vw,4rem);\r\n}\r\n.cs-filter {\r\n  background: transparent; border: 1px solid #E2DDD6;\r\n  border-radius: 100px; padding: 0.4rem 1.1rem;\r\n  font-size: 0.78rem; font-weight: 500; cursor: pointer;\r\n  font-family: 'DM Sans', system-ui, sans-serif;\r\n  color: #6B6760; transition: all 0.2s;\r\n}\r\n.cs-filter:hover { border-color: #143AA2; color: #143AA2; background: rgba(20,58,162,0.03); }\r\n.cs-filter.active { background: #143AA2; border-color: #143AA2; color: #fff; }\r\n\r\n\/* Grid *\/\r\n.cs-grid {\r\n  display: grid;\r\n  grid-template-columns: repeat(3, 1fr);\r\n  gap: 1.25rem;\r\n}\r\n\r\n\/* Card base *\/\r\n.cs-card {\r\n  background: #FFFFFF; border: 1px solid #E2DDD6;\r\n  border-radius: 12px; overflow: hidden;\r\n  display: flex; flex-direction: column;\r\n  text-decoration: none; color: inherit;\r\n  opacity: 0; transform: translateY(22px);\r\n  transition: box-shadow 0.3s, transform 0.7s ease, opacity 0.7s ease, border-color 0.25s;\r\n}\r\n.cs-card.visible { opacity: 1; transform: translateY(0); }\r\n.cs-card:hover { box-shadow: 0 12px 40px rgba(20,58,162,0.1); border-color: rgba(20,58,162,0.2); transform: translateY(-3px) !important; }\r\n\r\n\/* Color top bar *\/\r\n.cs-card-bar { height: 4px; width: 100%; }\r\n.bar-transit    { background: linear-gradient(90deg, #143AA2, #3E8DE3); }\r\n.bar-logistics  { background: linear-gradient(90deg, #259F6C, #4DC896); }\r\n.bar-automotive { background: linear-gradient(90deg, #E8A820, #F4C84A); }\r\n.bar-realestate { background: linear-gradient(90deg, #7C37D4, #A26DE8); }\r\n.bar-finance    { background: linear-gradient(90deg, #143AA2, #259F6C); }\r\n.bar-education  { background: linear-gradient(90deg, #E8A820, #259F6C); }\r\n.bar-intelligence { background: linear-gradient(90deg, #E8A820, #E8572A); }\r\n\r\n.cs-card-body { padding: 2rem; flex-grow: 1; display: flex; flex-direction: column; }\r\n.cs-card-industry {\r\n  font-size: 0.65rem; font-weight: 700; letter-spacing: 0.13em;\r\n  text-transform: uppercase; margin-bottom: 0.625rem;\r\n  font-family: 'DM Sans', system-ui, sans-serif;\r\n}\r\n.cs-card h3 {\r\n  font-size: 1.05rem; font-weight: 600; letter-spacing: -0.01em;\r\n  margin-bottom: 0.75rem; color: #140F1E; line-height: 1.35;\r\n  font-family: 'DM Sans', system-ui, sans-serif;\r\n}\r\n.cs-card-summary {\r\n  font-size: 0.855rem; color: #4A4E5A; line-height: 1.72;\r\n  font-weight: 300; font-family: 'DM Sans', system-ui, sans-serif;\r\n  flex-grow: 1; margin: 0;\r\n}\r\n.cs-card-result {\r\n  margin-top: 1.5rem; background: #F5F2EB; border-radius: 6px;\r\n  padding: 0.75rem 1rem; border-left: 3px solid #143AA2;\r\n  font-size: 0.8rem; color: #140F1E; font-weight: 500;\r\n  font-family: 'DM Sans', system-ui, sans-serif; line-height: 1.45;\r\n}\r\n.cs-card-footer {\r\n  padding: 1.25rem 2rem; border-top: 1px solid #E2DDD6;\r\n  display: flex; align-items: center; justify-content: space-between;\r\n}\r\n.cs-card-tag {\r\n  font-size: 0.68rem; font-weight: 600; letter-spacing: 0.08em;\r\n  text-transform: uppercase; color: #9B9690;\r\n  font-family: 'DM Sans', system-ui, sans-serif;\r\n}\r\n.cs-card-link {\r\n  display: inline-flex; align-items: center; gap: 0.4rem;\r\n  font-size: 0.8rem; font-weight: 500; color: #143AA2;\r\n  font-family: 'DM Sans', system-ui, sans-serif; transition: gap 0.2s;\r\n}\r\n.cs-card:hover .cs-card-link { gap: 0.65rem; }\r\n\r\n\/* Featured card \u2014 Transit spans 2 cols *\/\r\n.cs-card.featured { grid-column: span 2; }\r\n.cs-card.featured .cs-card-body {\r\n  display: grid; grid-template-columns: 1fr 1fr;\r\n  gap: 2rem; align-items: start;\r\n}\r\n.cs-card.featured .cs-card-industry { grid-column: 1 \/ -1; }\r\n.cs-card.featured h3 { font-size: 1.35rem; grid-column: 1 \/ -1; }\r\n.cs-card.featured .cs-card-result { margin-top: 0; align-self: start; }\r\n\r\n@media (max-width: 960px) {\r\n  .cs-grid { grid-template-columns: 1fr 1fr; }\r\n  .cs-card.featured { grid-column: span 2; }\r\n  .cs-card.featured .cs-card-body { grid-template-columns: 1fr; gap: 1rem; }\r\n}\r\n@media (max-width: 600px) {\r\n  .cs-grid { grid-template-columns: 1fr; }\r\n  .cs-card.featured { grid-column: span 1; }\r\n  .cs-card.featured .cs-card-body { grid-template-columns: 1fr; }\r\n}\r\n<\/style>\r\n\r\n<section class=\"cs-grid-section adl-section\" aria-labelledby=\"cs-grid-h2\">\r\n  <div class=\"cs-grid-inner\">\r\n\r\n    <h2 style=\"font-family:'Playfair Display',Georgia,serif;font-size:clamp(2rem,3.4vw,3rem);font-weight:500;line-height:1.12;letter-spacing:-0.015em;margin-bottom:0.75rem;color:#140F1E;\" id=\"cs-grid-h2\">\r\n      Every engagement starts with<br><em style=\"font-style:italic;color:#143AA2;\">a real operational problem.<\/em>\r\n    <\/h2>\r\n    <p style=\"font-size:clamp(0.96rem,1.3vw,1.05rem);color:#4A4E5A;line-height:1.82;font-weight:300;font-family:'DM Sans',system-ui,sans-serif;max-width:520px;margin-bottom:3rem;\">\r\n      These are not prototypes. They are not demos. Every case on this page is a system running in a real operational environment, solving a problem that mattered enough to build something serious around.\r\n    <\/p>\r\n\r\n    <div class=\"cs-filters\" role=\"group\" aria-label=\"Filter by industry\">\r\n      <button class=\"cs-filter active\" onclick=\"csFilter('all', this)\">All<\/button>\r\n      <button class=\"cs-filter\" onclick=\"csFilter('transit', this)\">Transit<\/button>\r\n      <button class=\"cs-filter\" onclick=\"csFilter('logistics', this)\">Logistics<\/button>\r\n      <button class=\"cs-filter\" onclick=\"csFilter('automotive', this)\">Automotive<\/button>\r\n      <button class=\"cs-filter\" onclick=\"csFilter('realestate', this)\">Real Estate<\/button>\r\n      <button class=\"cs-filter\" onclick=\"csFilter('finance', this)\">Financial Services<\/button>\r\n      <button class=\"cs-filter\" onclick=\"csFilter('education', this)\">Education<\/button>\r\n      <button class=\"cs-filter\" onclick=\"csFilter('intelligence', this)\">Decision Intelligence<\/button>\r\n    <\/div>\r\n\r\n    <div class=\"cs-grid\">\r\n\r\n      <!-- 1. Transit \u2014 featured -->\r\n      <a href=\"\/case-studies\/transit-agentic-platform\/\" class=\"cs-card featured\" data-industry=\"transit\">\r\n        <div class=\"cs-card-bar bar-transit\"><\/div>\r\n        <div class=\"cs-card-body\">\r\n          <div class=\"cs-card-industry\" style=\"color:#143AA2;\">Transit &amp; Transportation<\/div>\r\n          <h3>Six AI Agents Running Live in Paratransit Operations<\/h3>\r\n          <p class=\"cs-card-summary\">IT Curves spent 17 years learning how transit actually operates \u2014 dispatch exceptions, broker billing, ADA constraints, everything that happens between the first call and the last trip. AI Dev Lab turned that knowledge into six specialized agents now running live across 12 agencies in five transit modes. This is what it looks like when AI is built from inside an industry rather than adapted to it from the outside.<\/p>\r\n          <div class=\"cs-card-result\">\r\n            99% verified user satisfaction &nbsp;\u00b7&nbsp; 78% AI-handled interactions &nbsp;\u00b7&nbsp; 12 agencies live\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"cs-card-footer\">\r\n          <span class=\"cs-card-tag\">Case Study<\/span>\r\n          <span class=\"cs-card-link\">Read the full story <svg width=\"13\" height=\"13\" viewBox=\"0 0 13 13\" fill=\"none\"><path d=\"M2 6.5h9M7.5 3L11 6.5 7.5 10\" stroke=\"currentColor\" stroke-width=\"1.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\r\n        <\/div>\r\n      <\/a>\r\n\r\n      <!-- 2. Freight -->\r\n      <a href=\"\/case-studies\/freight-quote-automation\/\" class=\"cs-card\" data-industry=\"logistics\">\r\n        <div class=\"cs-card-bar bar-logistics\"><\/div>\r\n        <div class=\"cs-card-body\">\r\n          <div class=\"cs-card-industry\" style=\"color:#259F6C;\">Freight &amp; Logistics<\/div>\r\n          <h3>The Sales Team Stopped Processing Emails. They Started Closing Deals.<\/h3>\r\n          <p class=\"cs-card-summary\">A global freight forwarder was losing thousands of hours a year to a single bottleneck. Someone had to read every inbound quote request, figure out what was being asked, chase down missing details, and package it before pricing could even begin. We built a five-stage AI pipeline that eliminated that entire workflow. The sales team never touched another intake email.<\/p>\r\n          <div class=\"cs-card-result\">\r\n            100% of inbound RFQs handled without manual classification &nbsp;\u00b7&nbsp; Zero sales team hours on intake\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"cs-card-footer\">\r\n          <span class=\"cs-card-tag\">Case Study<\/span>\r\n          <span class=\"cs-card-link\">Read the full story <svg width=\"13\" height=\"13\" viewBox=\"0 0 13 13\" fill=\"none\"><path d=\"M2 6.5h9M7.5 3L11 6.5 7.5 10\" stroke=\"currentColor\" stroke-width=\"1.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\r\n        <\/div>\r\n      <\/a>\r\n\r\n      <!-- 3. Automotive -->\r\n      <a href=\"\/case-studies\/automotive-dealer-ai\/\" class=\"cs-card\" data-industry=\"automotive\">\r\n        <div class=\"cs-card-bar bar-automotive\"><\/div>\r\n        <div class=\"cs-card-body\">\r\n          <div class=\"cs-card-industry\" style=\"color:#C49A10;\">Enterprise &amp; Automotive<\/div>\r\n          <h3>AI at Global Scale for One of the World's Largest Automotive Manufacturers<\/h3>\r\n          <p class=\"cs-card-summary\">One of the world's top automotive brands needed every dealer, in every market, to give every buyer a complete and consistent answer to any product question \u2014 instantly. We built the AI system that made that possible. Deployed across a global dealer network on multiple continents, trained on the full catalog, responding in any language.<\/p>\r\n          <div class=\"cs-card-result\">\r\n            Global deployment &nbsp;\u00b7&nbsp; 100% catalog coverage &nbsp;\u00b7&nbsp; Multilingual &nbsp;\u00b7&nbsp; Instant response\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"cs-card-footer\">\r\n          <span class=\"cs-card-tag\" style=\"color:#C49A10;font-weight:700;\">\u2605 Enterprise Scale<\/span>\r\n          <span class=\"cs-card-link\">Read the full story <svg width=\"13\" height=\"13\" viewBox=\"0 0 13 13\" fill=\"none\"><path d=\"M2 6.5h9M7.5 3L11 6.5 7.5 10\" stroke=\"currentColor\" stroke-width=\"1.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\r\n        <\/div>\r\n      <\/a>\r\n\r\n      <!-- 4. Real Estate -->\r\n      <a href=\"\/case-studies\/real-estate-lead-intelligence\/\" class=\"cs-card\" data-industry=\"realestate\">\r\n        <div class=\"cs-card-bar bar-realestate\"><\/div>\r\n        <div class=\"cs-card-body\">\r\n          <div class=\"cs-card-industry\" style=\"color:#7C37D4;\">Real Estate Technology<\/div>\r\n          <h3>Every Agent Was Looking at the Same Listings. We Changed That.<\/h3>\r\n          <p class=\"cs-card-summary\">A national real estate SaaS platform was sitting on a competitive advantage buried in their own data. Buyers were signaling intent through their behavior on the platform \u2014 returning to listings, narrowing searches, spending time on floor plans \u2014 and no one was reading it. We built a behavioral ML engine that turns those signals into a ranked, continuously updated lead feed agents can act on before buyers raise their hand to anyone else.<\/p>\r\n          <div class=\"cs-card-result\">\r\n            Proprietary intelligence no competitor can see &nbsp;\u00b7&nbsp; Continuous real time scoring\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"cs-card-footer\">\r\n          <span class=\"cs-card-tag\">Case Study<\/span>\r\n          <span class=\"cs-card-link\">Read the full story <svg width=\"13\" height=\"13\" viewBox=\"0 0 13 13\" fill=\"none\"><path d=\"M2 6.5h9M7.5 3L11 6.5 7.5 10\" stroke=\"currentColor\" stroke-width=\"1.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\r\n        <\/div>\r\n      <\/a>\r\n\r\n      <!-- 5. Financial Services -->\r\n      <a href=\"\/case-studies\/accounting-ai-assistant\/\" class=\"cs-card\" data-industry=\"finance\">\r\n        <div class=\"cs-card-bar bar-finance\"><\/div>\r\n        <div class=\"cs-card-body\">\r\n          <div class=\"cs-card-industry\" style=\"color:#143AA2;\">Financial Services<\/div>\r\n          <h3>A Full AI Intelligence Layer for a Financial Services Firm<\/h3>\r\n          <p class=\"cs-card-summary\">A financial services firm was spending 4 to 6 weeks producing reports that were outdated before anyone acted on them. We built four interconnected AI capabilities \u2014 deep financial analysis across 21 metrics, GAAP compliance scanning, industry benchmarking, and ML cashflow forecasting. The work ran deep enough that the products became the foundation of a standalone company.<\/p>\r\n          <div class=\"cs-card-result\">\r\n            70% time reduction &nbsp;\u00b7&nbsp; 85% issue detection &nbsp;\u00b7&nbsp; 95% forecast accuracy &nbsp;\u00b7&nbsp; 500+ professionals served\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"cs-card-footer\">\r\n          <span class=\"cs-card-tag\">Case Study<\/span>\r\n          <span class=\"cs-card-link\">Read the full story <svg width=\"13\" height=\"13\" viewBox=\"0 0 13 13\" fill=\"none\"><path d=\"M2 6.5h9M7.5 3L11 6.5 7.5 10\" stroke=\"currentColor\" stroke-width=\"1.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\r\n        <\/div>\r\n      <\/a>\r\n\r\n      <!-- 6. Education -->\r\n      <a href=\"\/case-studies\/nsf-curriculum-engine\/\" class=\"cs-card\" data-industry=\"education\">\r\n        <div class=\"cs-card-bar bar-education\"><\/div>\r\n        <div class=\"cs-card-body\">\r\n          <div class=\"cs-card-industry\" style=\"color:#259F6C;\">Education &amp; NSF Research<\/div>\r\n          <h3>An ML System That Finds the Right Path for Every Student. Not Just the Average One.<\/h3>\r\n          <p class=\"cs-card-summary\">Students with disabilities have always been handed the same curriculum paths as everyone else and told to make it work. We built a machine learning system that changes that. It reads each student's full profile and prescribes the sequence most likely to get them to employment. Tested against three ML architectures. Validated on real student data. Built to meet NSF standards and support continued federal funding.<\/p>\r\n          <div class=\"cs-card-result\">\r\n            3 ML architectures tested &nbsp;\u00b7&nbsp; Real student data validated &nbsp;\u00b7&nbsp; Federal funding renewed\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"cs-card-footer\">\r\n          <span class=\"cs-card-tag\" style=\"color:#259F6C;font-weight:700;\">\ud83c\udf93 NSF Funded<\/span>\r\n          <span class=\"cs-card-link\">Read the full story <svg width=\"13\" height=\"13\" viewBox=\"0 0 13 13\" fill=\"none\"><path d=\"M2 6.5h9M7.5 3L11 6.5 7.5 10\" stroke=\"currentColor\" stroke-width=\"1.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\r\n        <\/div>\r\n      <\/a>\r\n\r\n      <!-- 7. Review Intelligence -->\r\n      <a href=\"\/case-studies\/review-intelligence\/\" class=\"cs-card\" data-industry=\"intelligence\">\r\n        <div class=\"cs-card-bar bar-intelligence\"><\/div>\r\n        <div class=\"cs-card-body\">\r\n          <div class=\"cs-card-industry\" style=\"color:#B8821E;\">Decision Intelligence &nbsp;\u00b7&nbsp; Multi-Industry<\/div>\r\n          <h3>Thousands of Reviews. One Weekly Brief That Actually Changes Decisions.<\/h3>\r\n          <p class=\"cs-card-summary\">Most organizations read their reviews the same way they read their inbox \u2014 one at a time, reactively, when someone happens to notice. By then a pattern has already formed and started shaping buyer decisions. We built an AI intelligence layer that reads every review across every channel, extracts the signal from the noise, and surfaces what leadership needs to act on before problems compound.<\/p>\r\n          <div class=\"cs-card-result\" style=\"border-left-color:#E8A820;\">\r\n            100% of reviews processed automatically &nbsp;\u00b7&nbsp; Zero hours of manual reading &nbsp;\u00b7&nbsp; Weekly brief delivered to leadership\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"cs-card-footer\">\r\n          <span class=\"cs-card-tag\">Case Study<\/span>\r\n          <span class=\"cs-card-link\">Read the full story <svg width=\"13\" height=\"13\" viewBox=\"0 0 13 13\" fill=\"none\"><path d=\"M2 6.5h9M7.5 3L11 6.5 7.5 10\" stroke=\"currentColor\" stroke-width=\"1.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span>\r\n        <\/div>\r\n      <\/a>\r\n\r\n    <\/div>\r\n  <\/div>\r\n<\/section>\r\n\r\n<script>\r\nfunction csFilter(industry, btn) {\r\n  document.querySelectorAll('.cs-filter').forEach(b => b.classList.remove('active'));\r\n  btn.classList.add('active');\r\n  document.querySelectorAll('.cs-card').forEach(card => {\r\n    card.style.display = (industry === 'all' || card.dataset.industry === industry) ? 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It is understanding the operational reality well enough to build something that actually fits inside it. That is where we start every engagement. 99% Users satisfied.In live transit. Global Paratransit tomultinational OEMs. Federal NSF funding awardedand renewed on [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"nf_dc_page":"","footnotes":""},"class_list":["post-3585","page","type-page","status-publish","hentry"],"blocksy_meta":{"has_hero_section":"disabled","styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":6}},"featured_image_src":null,"featured_image_src_square":null,"_links":{"self":[{"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/pages\/3585","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/comments?post=3585"}],"version-history":[{"count":30,"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/pages\/3585\/revisions"}],"predecessor-version":[{"id":3775,"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/pages\/3585\/revisions\/3775"}],"wp:attachment":[{"href":"https:\/\/aidevlab.com\/wp-json\/wp\/v2\/media?parent=3585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}