https://illuminis.ai/assets/InferTrustAEC-BwoNlUN7.js

1import{j as e,S as g,H as c,G as l,a as d,s as m,b as u,h as f}from"./index-NhrPNU5X.js";import{r as x,L as a}from"./vendor-J5X5jj06.js";import{I as y}from"./InferTrustBreadcrumb-aiJCveaG.js";import{c as p,A as n,b_ as b,B as v,b$ as w,c0 as A,aI as I,aq as j,c1 as N,aT as C,c2 as E,c3 as k,c4 as S,ab as T,e as D}from"./icons-DIYs2NZR.js";import"./seo-CRw9-zMO.js";const B=[{icon:b,title:"Bridge Structural Integrity AI",description:"AI analyzing load ratings, fatigue life predictions, seismic response, and scour vulnerability for highway and railway bridges creates sealed decision records. When a bridge element is approved, flagged, or restricted, the record proves which AASHTO LRFD edition, load combination, and deterioration model governed the evaluation. After a collapse or closure, this is the first record investigators and plaintiffs demand.",link:"/blog/infertrust-aec-bridge-structural-analysis"},{icon:v,title:"High-Rise and Complex Building Design",description:"AI-assisted structural analysis for high-rise towers, long-span structures, and complex geometries generates cryptographic proof of every load path evaluation, wind tunnel correlation, progressive collapse check, and connection design review. When a structural failure triggers multi-billion dollar litigation, the sealed record chain proves exactly what the AI evaluated and what the licensed SE approved.",link:"/blog/infertrust-aec-high-rise-structural-failure"},{icon:w,title:"Dam, Levee, and Flood Infrastructure AI",description:"AI monitoring dam stability, seepage analysis, spillway capacity, and levee integrity creates tamper-evident records on field sensors before any data reaches operations centers. When a dam safety incident triggers federal and state investigations, sealed records prove what the AI detected, when it raised alarms, and whether operators responded within required timeframes.",link:"/blog/infertrust-aec-dam-levee-monitoring"},{icon:A,title:"Transportation and Transit Infrastructure",description:"AI evaluating tunnel lining integrity, rail bridge load ratings, highway pavement conditions, and transit station structural assessments generates sealed decision records. Every inspection finding, maintenance recommendation, and safety classification is cryptographically bound to the sensor data, model version, and inspection standard that produced it.",link:"/blog/infertrust-aec-transportation-infrastructure-ai"},{icon:I,title:"Public Building and School Seismic Safety",description:"AI-assisted seismic vulnerability assessments for schools, hospitals, fire stations, and government buildings create verifiable records of every structural evaluation. When a municipality faces liability for occupant safety in essential facilities, the sealed record proves which seismic hazard parameters, structural models, and performance objectives the AI applied.",link:"/blog/infertrust-aec-seismic-assessment-public-buildings"},{icon:j,title:"Construction Site Safety and OSHA Compliance",description:"AI-powered hazard detection on active construction sites generates tamper-proof inspection records on field tablets. Fall protection, excavation safety, crane operation zones, scaffolding compliance, and confined space assessments are all sealed at the point of inspection, signed before the inspector leaves the jobsite.",link:"/blog/infertrust-aec-site-safety-inspections"},{icon:N,title:"Underground and Foundation Engineering AI",description:"AI analyzing geotechnical data for deep foundations, tunneling, retaining walls, and ground improvement creates sealed records of every soil classification, bearing capacity calculation, and settlement prediction. When foundation failures cause building damage or construction delays, the decision chain proves what subsurface conditions the AI evaluated.",link:"/blog/infertrust-aec-geotechnical-foundation-ai"},{icon:C,title:"Building Code and Fire Safety Compliance",description:"Automated compliance checks against IBC, NFPA, local fire codes, and accessibility standards generate cryptographic decision records. Every occupancy classification, egress calculation, fire rating verification, and sprinkler design check is sealed with the exact code edition and local amendments in force at review time.",link:"/blog/infertrust-aec-building-code-compliance"},{icon:E,title:"Material Testing and Quality Assurance AI",description:"Computer vision and sensor AI inspecting concrete strength, steel weld quality, rebar placement, fireproofing thickness, and waterproofing integrity generates sealed inspection records. Each pass, fail, or hold decision is cryptographically bound to the test data, acceptance criteria, and the specific specification section governing the evaluation.",link:"/blog/infertrust-aec-quality-defect-detection"},{icon:k,title:"Energy Performance and Sustainability",description:"Energy modeling AI for LEED certification, ASHRAE 90.1 compliance, net-zero analysis, and Title 24 evaluation creates verifiable decision records. Every simulation result is bound to the specific climate data, building envelope parameters, HVAC sizing, and standard edition used in the analysis.",link:"/blog/infertrust-aec-energy-sustainability"},{icon:S,title:"Construction Progress and Delay Analysis AI",description:"AI analyzing drone imagery, LiDAR scans, BIM models, and schedule data to assess construction progress creates verifiable records. Delay analysis, critical path impacts, percent-complete calculations, and milestone certifications are sealed at the point of inference, supporting both progress payment verification and delay claim litigation.",link:"/blog/infertrust-aec-construction-delay-claims-ai"},{icon:T,title:"Post-Disaster Forensic and Rapid Assessment AI",description:"After earthquakes, hurricanes, floods, or fires, AI-assisted rapid structural assessments determine whether buildings and infrastru

1cture are safe to occupy. Every red/yellow/green tagging decision is sealed with the assessment model, damage indicators, and structural criteria used, creating defensible records when post-disaster decisions are challenged in court.",link:"/blog/infertrust-aec-post-disaster-assessment-ai"}],F=[{action:"AEC_APPROVE",description:"Structural element, infrastructure component, or compliance check passes automated review. Sealed with the specific code edition, load combination, and model version that produced the approval. For bridges: includes AASHTO rating factor. For buildings: includes demand-to-capacity ratio"},{action:"AEC_FLAG",description:"Potential structural concern, code violation, or safety issue identified that requires review by a licensed professional (PE, SE, or AHJ). Includes the specific code section triggered, the calculated margin, and the recommended review scope"},{action:"AEC_REJECT",description:"Design element or inspection item fails a mandatory safety or compliance check. The failure mode, code section, calculated values versus allowable limits, and required corrective action are all recorded in the sealed decision record"},{action:"AEC_ESCALATE",description:"Model confidence falls below the organizational threshold for the specific asset class. For critical infrastructure (bridges, dams, hospitals), escalation thresholds are set lower to ensure licensed engineer review of any uncertain evaluation"},{action:"AEC_HOLD",description:"Insufficient data, missing field verification, or pe

1nding material test results. Decision is deferred until the required information is available. Common for geotechnical evaluations awaiting borings or concrete awaiting 28-day strength results"},{action:"AEC_RESTRICT",description:"Infrastructure element is conditionally approved with operational restrictions. For bridges: load posting or speed restrictions. For buildings: occupancy limits or temporary shoring requirements. Restrictions and their engineering basis are sealed in the record"},{action:"AEC_EMERGENCY",description:"AI detects conditions requiring immediate action: structural distress indicators, active scour at bridge piers, dam seepage exceeding thresholds, or imminent collapse indicators. Triggers automated notifications while sealing the detection event with full sensor data fingerprints"}],q=[{title:"Infrastructure-Grade Liability Defense",description:"When a bridge collapses, a building fails, or a dam breaches, litigation costs can reach billions. InferTrust™ AEC creates the evidentiary foundation that separates defensible engineering from indefensible gaps. Every AI-assisted evaluation carries cryptographic proof of what was analyzed, what standards governed it, and what the licensed professional determined. This is the record that survives discovery."},{title:"Multi-Code Jurisdiction Binding",description:"Infrastructure projects answer to overlapping federal, state, and local codes that change on different adoption cycles. InferTrust™ AEC hashes the specific edition of every applicable standard (AASHTO LRFD, IBC, ASCE 7, ACI 318, NFPA, local amendments) and binds each AI evaluation to the exact code versions in force. When codes change mid-project, the record proves which version governed each decision."},{title:"Licensed Professional Accountability Chain",description:"Decision records clearly distinguish between AI-assisted analysis and licensed professional determinations. When a PE, SE, or RA stamps a drawing or signs an inspection report, the record chain shows exactly what the AI evaluated, what it flagged, and what the professional approved or overrode. This protects both the firm and the individual licensee."},{title:"Field-to-Office Traceability for Remote Infrastructure",description:"Bridge inspections, dam monitoring, pipeline assessments, and rural construction sites frequently lack reliable connectivity. InferTrust™ signs and seals decision records on field devices using hardware-bound cryptographic keys. Records are timestamped and sealed before any network sync, ensuring integrity even in the most remote locations."},{title:"Design-to-Delivery Decision Continuity",description:"As AEC shifts from siloed phases toward integrated design-to-delivery models, AI decisions span planning, design, engineering, construction, and operations. InferTrust™ maintains referential integrity across the entire project lifecycle, linking design analysis records to construction inspection records to operational monitoring records in a single tamper-evident chain."},{title:"Multi-Discipline Coordination Integrity",description:"Complex infrastructure requires coordination across structural, geotechnical, mechanical, electrical, civil, and environmental disciplines. InferTrust™ captures cross-discipline AI evaluations with referential links, so when a coordination conflict causes a failure, the record chain proves what each discipline AI evaluated and whether conflicts were flagged."}],h=[{framework:"AASHTO LRFD",scope:"Bridge Design and Evaluation Specifications",infertrust:"Every bridge AI evaluation sealed with the specific AASHTO LRFD edition, load factors, resistance factors, and rating methodology used"},{framework:"IBC",scope:"International Building Code",infertrust:"Code edition hash binds every AI review to the specific IBC version, occupancy classification, and local amendments in force"},{framework:"ASCE 7",scope:"Minimum Design Loads and Associated Criteria",infertrust:"Load analysis AI decisions sealed with the specific ASCE 7 edition, risk category, wind speed, seismic parameters, and load combinations"},{framework:"ACI 318",scope:"Building Code Requirements for Structural Concrete",infertrust:"Concrete design and inspection AI reviews bound to the specific ACI 318 edition, strength parameters, and durability requirements"},{framework:"AISC 360",scope:"Specification for Structural Steel Buildings",infertrust:"Steel design AI evaluations sealed with connection type, demand-to-capacity ratios, and stability analysis parameters"},{framework:"OSHA 1926",scope:"Safety and Health Regulations for Construction",infertrust:"Site safety inspection AI records sealed on field devices with specific OSHA standard and subpart references"},{framework:"FEMA P-154 / ASCE 41",scope:"Seismic Evaluation and Retrofit Standards",infertrust:"Seismic assessment AI decisions boun

1d to specific hazard parameters, performance objectives, and structural deficiency classifications"},{framework:"NFPA",scope:"National Fire Protection Association Standards",infertrust:"Fire safety AI evaluations sealed with specific NFPA code edition, occupancy classification, and fire protection system requirements"},{framework:"NBIS / FHWA",scope:"National Bridge Inspection Standards",infertrust:"Bridge inspection AI findings sealed with element-level condition ratings, NBI coding, and inspection interval determinations"},{framework:"LEED / ASHRAE 90.1",scope:"Energy Performance and Sustainability Standards",infertrust:"Energy modeling AI decisions bound to specific climate data, building parameters, and standard edition"}];function O(){const[t,r]=x.useState("simple");return e.jsxs(e.Fragment,{children:[e.jsx(g,{title:"InferTrust™ AEC | AI Decision Records for Bridges and Buildings",description:"When a bridge collapses or a building fails, can you prove what the AI-assisted analysis actually concluded? 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An AI Approved the Calculations.",e.jsx("span",{className:"block text-sky-400 mt-2",children:"Where Is Your Proof?"})]}),e.jsx("p",{className:"mt-6 text-xl text-gray-300 max-w-3xl",children:"AI is reviewing bridge load ratings, approving high-rise structural designs, monitoring dam stability, and clearing buildings for occupancy. When something fails and the lawsuits arrive, the first question is always: what exactly did the AI evaluate, what code did it reference, and who approved the result? InferTrust™ AEC seals that proof at the instant of every decision."}),e.jsxs("div",{className:"mt-8 flex flex-col sm:flex-row gap-4",children:[e.jsxs("button",{onClick:()=>{r("technical"),document.getElementById("content")?.scrollIntoView({behavior:"smooth"})},className:"inline-flex items-center justify-center px-8 py-4 text-lg font-semibold rounded-lg bg-sky-600 hover:bg-sky-500 text-white transition-colors",children:["See How It Works",e.jsx(n,{className:"ml-2 h-5 w-5"})]}),e.jsx(a,{to:"/contact?solution=infertrust-aec&interest=aec-demo",className:"inline-flex items-center justify-center px-8 py-4 text-lg font-semibold rounded-lg border-2 border-white/20 hover:border-white/40 text-white transition-colors",children:"Request a Demo"})]})]})})]}),e.jsx("div",{className:"bg-white border-b border-gray-200 sticky top-0 z-20",children:e.jsx("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-3 flex items-center justify-center gap-1",children:e.jsxs("div",{className:"inline-flex bg-gray-100 rounded-lg p-1",children:[e.jsx("button",{onClick:()=>r("simple"),className:`px-5 py-2 rounded-md text-sm font-medium transition-colors ${t==="simple"?"bg-white text-gray-900 shadow-sm":"text-gray-500 hover:text-gray-700"}`,children:"Overview"}),e.jsx("button",{onClick:()=>r("technical"),className:`px-5 py-2 rounded-md text-sm font-medium transition-colors ${t==="technical"?"bg-white text-gray-900 shadow-sm":"text-gray-500 hover:text-gray-700"}`,children:"Technical Details"})]})})}),e.jsx("section",{id:"content",className:"py-20 bg-white",children:e.jsx("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8",children:e.jsx("div",{className:"max-w-3xl mx-auto text-center",children:t==="simple"?e.jsxs(e.Fragment,{children:[e.jsx("h2",{className:"text-3xl sm:text-4xl font-bold text-gray-900 mb-6",children:"Structures Fail. Lawsuits Follow. Can You Prove What the AI Did?"}),e.jsx("p",{className:"text-lg text-gray-600 mb-4",children:"AI is transforming the AEC value chain, from planning and design through engineering, construction, and operations. But this industry is fragmented, localized, and project-based. Every bridge, building, dam, and highway is a unique liability. When a structure fails, a bridge is posted, or a building is condemned, the engineering firm, the contractor, and the public agency all face the same question: what did the AI evaluate, and can you prove it?"}),e.jsx("p",{className:"text-lg text-gray-600",children:"InferTrust™ AEC seals every AI-assisted decision with cryptographic proof the instant it happens. Design reviews, structural analyses, inspection findings, and safety assessments are all tamper-proof from the moment of inference. No gaps. No alterable logs. No reconstructed narratives."})]}):e.jsxs(e.Fragment,{children:[e.jsx("h2",{className:"text-3xl sm:text-4xl font-bold text-gray-900 mb-6",children:"The AEC Industry Is Deploying AI Where Failures Kill People"}),e.jsx("p",{className:"text-lg text-gray-600 mb-4",children:"The architecture, engineering, and construction industry is shifting from linear, siloed phases toward integrated, digital-driven, design-to-delivery models. AI is accelerating this transformation by evaluating bridge load ratings, analyzing high-rise structural systems, monitoring dam stability, assessing seismic vulnerability of public buildings, and inspecting construction quality across every trade. These are consequential decisions. When they are wrong, buildings collapse, bridges fail, and people die."}),e.jsx("p",{className:"text-lg text-gray-600 mb-4",children:"The litigation that follows infrastru

1cture failures routinely reaches hundreds of millions or billions of dollars. Plaintiffs’ attorneys, forensic engineers, NTSB investigators, and state attorneys general will demand evidence of every AI-assisted decision in the chain. Most firms can only produce application logs, BIM metadata, and project management records that carry no cryptographic guarantee of integrity."}),e.jsx("p",{className:"text-lg text-gray-600",children:"InferTrust™ AEC changes this. Every AI-assisted structural analysis, bridge evaluation, dam monitoring alert, seismic assessment, and construction inspection generates a cryptographically signed record at the point of inference, sealed with device-bound keys before any transmission to BIM, asset management, or project delivery systems."})]})})})}),e.jsx("section",{className:"py-20 bg-gray-50",children:e.jsxs("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8",children:[e.jsxs("div",{className:"text-center mb-16",children:[e.jsx("h2",{className:"text-3xl sm:text-4xl font-bold text-gray-900",children:"Where AI Decisions Carry the Highest Stakes"}),e.jsx("p",{className:"mt-4 text-lg text-gray-600 max-w-3xl mx-auto",children:t==="simple"?"InferTrust™ AEC protects firms across the entire built environment, from bridges and high-rises to dams, transit systems, and public infrastructure where AI decisions affect structural safety and human life.":"InferTrust™ AEC supports the full lifecycle of consequential AI decisions across the built environment. Every use case below represents a scenario where an unverifiable AI decision could trigger catastrophic failure, loss of life, and company-destroying litigation."})]}),e.jsx("div",{className:"grid md:grid-cols-2 lg:grid-cols-3 gap-8",children:B.map((i,s)=>{const o=e.jsxs(d,{hover:!0,accentColor:u(s),className:"p-8 h-full",children:[e.jsx("div",{className:`inline-flex p-3 rounded-xl ${m(s).softBg} mb-4`,children:e.jsx(i.icon,{className:`h-7 w-7 ${m(s).fg}`})}),e.jsx("h3",{className:"text-xl font-bold text-gray-900 mb-3",children:i.title}),e.jsx("p",{className:"text-gray-600 mb-4",children:i.description}),i.link&&e.jsxs("span",{className:"inline-flex items-center text-sky-600 font-medium text-sm mt-auto",children:["Learn More ",e.jsx(n,{className:"ml-1 h-4 w-4"})]})]},i.title);return i.link?e.jsx(a,{to:i.link,className:"block h-full",children:o},i.title):e.jsx("div",{children:o},i.title)})})]})}),t==="technical"&&e.jsx("section",{className:"py-20 bg-white",children:e.jsxs("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8",children:[e.jsxs("div",{className:"text-center mb-12",children:[e.jsx("h2",{className:"text-3xl sm:text-4xl font-bold text-gray-900",children:"Infrastructure Decision Actions"}),e.jsx("p",{className:"mt-4 text-lg text-gray-600 max-w-3xl mx-auto",children:"Every InferTrust™ AEC decision record includes a Decision Action field calibrated for infrastru

1cture-grade accountability. These actions are cryptographically bound to the code edition, load parameters, model version, confidence score, and policy version that produced them."})]}),e.jsx("div",{className:"overflow-x-auto",children:e.jsxs("table",{className:"w-full border-collapse bg-white rounded-xl overflow-hidden shadow-sm",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"bg-sky-600 text-white",children:[e.jsx("th",{className:"px-6 py-4 text-left text-sm font-semibold",children:"Decision Action"}),e.jsx("th",{className:"px-6 py-4 text-left text-sm font-semibold",children:"Description"})]})}),e.jsx("tbody",{children:F.map((i,s)=>e.jsxs("tr",{className:`${s%2===0?"bg-white":"bg-gray-50"} hover:bg-sky-50 transition-colors`,children:[e.jsx("td",{className:"px-6 py-4 text-sm font-mono font-bold text-sky-700",children:i.action}),e.jsx("td",{className:"px-6 py-4 text-sm text-gray-600",children:i.description})]},i.action))})]})})]})}),e.jsx("section",{className:"py-20 bg-gray-50",children:e.jsxs("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8",children:[e.jsxs("div",{className:"text-center mb-16",children:[e.jsx("h2",{className:"text-3xl sm:text-4xl font-bold text-gray-900",children:"What Makes InferTrust™ AEC Different"}),e.jsx("p",{className:"mt-4 text-lg text-gray-600 max-w-3xl mx-auto",children:t==="simple"?"Purpose-built for the unique liability, complexity, and safety demands of AI in bridges, buildings, and public infrastructure.":"InferTrust™ AEC was engineered from the ground up for infrastru

1cture-grade accountability: multi-jurisdiction code compliance, licensed professional workflows, remote field conditions, and the litigation reality that every AI decision in the built environment could become evidence in a wrongful death or property damage case."})]}),e.jsx("div",{className:"grid md:grid-cols-2 gap-8",children:q.map((i,s)=>e.jsx(a,{to:"/contact?solution=infertrust-aec&interest=aec-demo",className:"group block",children:e.jsxs(d,{accentColor:u(s),className:"p-8 lg:p-10 h-full",children:[e.jsx("h3",{className:"text-xl font-bold text-gray-900 mb-3 group-hover:text-primary-600 transition-colors",children:i.title}),e.jsx("p",{className:"text-gray-600 mb-4",children:i.description}),e.jsxs("span",{className:"inline-flex items-center text-primary-600 font-medium text-sm",children:["Request a Demo ",e.jsx(n,{className:"ml-1 h-4 w-4"})]})]})},i.title))})]})}),e.jsx(f,{}),e.jsxs("section",{className:"py-20 bg-dark-900 text-white relative overflow-hidden",children:[e.jsx(c,{spacing:80}),e.jsxs("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 relative",children:[e.jsxs("div",{className:"text-center mb-12",children:[e.jsx("h2",{className:"text-3xl font-bold",children:"Compliance Framework Support"}),e.jsx("p",{className:"mt-4 text-lg text-gray-400 max-w-3xl mx-auto",children:t==="simple"?"InferTrust™ AEC is designed to help meet the requirements of these building codes, bridge standards, and infrastructure regulations.":"InferTrust™ AEC provides cryptographic evidence that satisfies audit and compliance requirements across building codes, bridge design standards, dam safety regulations, seismic evaluation frameworks, and construction safety mandates."})]}),t==="simple"?e.jsx("div",{className:"flex flex-wrap justify-center gap-3",children:h.map(i=>e.jsx("span",{className:"px-4 py-2 rounded-full border border-white/20 bg-white/5 text-white font-medium text-sm",children:i.framework},i.framework))}):e.jsx("div",{className:"overflow-x-auto",children:e.jsxs("table",{className:"w-full border-collapse rounded-xl overflow-hidden",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"bg-sky-600 text-white",children:[e.jsx("th",{className:"px-6 py-4 text-left text-sm font-semibold",children:"Framework"}),e.jsx("th",{className:"px-6 py-4 text-left text-sm font-semibold",children:"Scope"}),e.jsx("th",{className:"px-6 py-4 text-left text-sm font-semibold",children:"How InferTrust™ AEC Supports"})]})}),e.jsx("tbody",{children:h.map((i,s)=>e.jsxs("tr",{className:`${s%2===0?"bg-white/5":"bg-white/10"} hover:bg-white/15 transition-colors`,children:[e.jsx("td",{className:"px-6 py-4 text-sm font-semibold text-sky-300",children:i.framework}),e.jsx("td",{className:"px-6 py-4 text-sm text-gray-300",children:i.scope}),e.jsx("td",{className:"px-6 py-4 text-sm text-gray-300",children:i.infertrust})]},i.framework))})]})})]})]}),e.jsx("section",{className:"py-20 bg-white",children:e.jsx("div",{className:"max-w-7xl mx-auto px-4 sm:px-6 lg:px-8",children:e.jsxs("div",{className:"grid lg:grid-cols-2 gap-12 items-center",children:[e.jsxs("div",{children:[e.jsx("h2",{className:"text-3xl font-bold text-gray-900 mb-6",children:"Purpose-Built for Infrastructure-Grade AI"}),e.jsx("p",{className:"text-lg text-gray-600 mb-6",children:t==="simple"?"AEC AI operates where the stakes are human life, structural integrity, and public safety. A single unverifiable AI decision on a bridge, building, or dam can trigger litigation that destroys companies. InferTrust™ AEC was designed for these exact conditions.":"AEC AI operates under unique constraints: fragmented value chains, multiple overlapping code jurisdictions, licensed professional requirements, field conditions with no connectivity, and the reality that every AI decision in the built environment is a potential exhibit in a wrongful death case. InferTrust™ AEC was designed for these exact conditions."}),e.jsx("ul",{className:"space-y-3",children:(t==="simple"?["Every AI structural analysis is sealed with the exact code edition and load parameters it used.","Bridge and dam inspection records are signed on field devices before leaving the site.","Clear chain of custody from AI evaluation to PE/SE approval to construction.","Works offline on remote bridge sites, dam locations, and rural construction projects.","Multi-discipline coordination records prove cross-trade consistency across complex projects.","Design-to-delivery decision continuity across the entire project lifecycle."]:["Code edition hashing binds every evaluation to the specific AASHTO/IBC/ASCE/ACI version in force.","Device-bound keys on field tablets and bridge inspection equipment prevent record fabrication.","Decision records distinguish AI-assisted analysis from licensed professional PE/SE determinations.","Offline-first ar

1chitecture for remote bridges, dams, and infrastructure with no connectivity.","Cross-discipline decision linking maintains referential integrity across structural, geotech, MEP, and civil records.","Append-only audit chain satisfies FHWA, state DOT, and jurisdictional inspection record requirements.","Emergency action decisions (AEC_EMERGENCY) trigger automated notifications with sealed detection records."]).map(i=>e.jsxs("li",{className:"flex items-start gap-3",children:[e.jsx(D,{className:"h-5 w-5 text-sky-500 mt-0.5 shrink-0"}),e.jsx("span",{className:"text-gray-700",children:i})]},i))})]}),e.jsx("div",{className:"bg-gradient-to-br from-sky-50 to-primary-50 rounded-2xl p-10 flex items-center justify-center",children:e.jsxs("div",{className:"text-center",children:[e.jsx(p,{className:"h-24 w-24 text-sky-600 mx-auto mb-6"}),e.jsx("p",{className:"text-2xl font-bold text-gray-900 mb-2",children:"InferTrust™ AEC"}),e.jsx("p",{className:"text-gray-600",children:"Infrastructure-grade proof for every AI decision"})]})})]})})}),e.jsx("section",{className:"py-20 bg-gradient-to-r from-sky-600 to-primary-600",children:e.jsxs("div",{className:"max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 text-center",children:[e.jsx("h2",{className:"text-3xl sm:text-4xl font-bold text-white mb-6",children:t==="simple"?"Protect Your Firm Before the Next Failure":"Infrastructure-Grade Evidence for Infrastructure-Grade AI"}),e.jsx("p",{className:"text-xl text-white/90 mb-10",children:t==="simple"?"See how InferTrust™ AEC creates tamper-proof records for your bridge evaluations, structural analyses, infrastructure inspections, and construction quality checks. We will walk you through exactly how it works for your firm and your projects.":"Request a demo to see how InferTrust™ AEC creates cryptographically verifiable records for every AI-assisted structural analysis, bridge evaluation, dam monitoring alert, and construction inspection. See how proof-of-inference protects your firm, your licensed professionals, and the public when infrastructure AI decisions are challenged in court."}),e.jsxs("div",{className:"flex flex-col sm:flex-row gap-4 justify-center",children:[e.jsxs(a,{to:"/contact?solution=infertrust-aec&interest=aec-demo",className:"inline-flex items-center justify-center px-8 py-4 text-lg font-semibold rounded-lg bg-white text-sky-700 hover:bg-gray-100 transition-colors shadow-lg",children:["Request a Demo",e.jsx(n,{className:"ml-2 h-5 w-5"})]}),e.jsx(a,{to:"/contact?solution=infertrust-aec&interest=aec-demo",className:"inline-flex items-center justify-center px-8 py-4 text-lg font-semibold rounded-lg border-2 border-white/30 hover:border-white/50 text-white transition-colors",children:"Talk to Our Team"})]})]})})]})}export{O as default};