CAPABILITY · /003

More data, more capability.

Each dimension of human voice is a feed into the model.

{/* Pipeline diagram: feeds -> model -> output */}

{/* Feeds */}

{traits.map((trait, i) => { const fill = fillFor(i); return (

i * 0.08 ? 'var(--ex-cream)' : 'rgba(240,238,233,0.5)', }}>{trait}

{/* moving fill */}

i * 0.08 ? `linear-gradient(90deg, oklch(0.68 0.22 30 / 0.4), oklch(0.68 0.22 30))` : 'rgba(240,238,233,0.08)', transition: 'background 0.4s', }}/> {/* moving dots */} {t > i * 0.08 && Array.from({ length: 6 }).map((_, j) => { const phase = (t * 0.7 + j * 0.16) % 1; return (

); })}

{pressed ? '● TRAINING DATA STREAMING' : '○ STREAMS IDLE'}

{/* Model */}

0.4 ? 'oklch(0.68 0.22 30 / 0.08)' : 'transparent', transition: 'background 0.4s', }}> {/* concentric activation rings */} {[0, 1, 2].map(i => (

0.3 ? 1 : 0.4, transform: `scale(${1 + Math.sin(t * 4 + i) * 0.04 * (t > 0.3 ? 1 : 0)})`, transition: 'opacity 0.4s', }}/> ))}

VOICE MODEL

0.4 ? 'var(--ex-signal)' : 'var(--ex-cream)', transition: 'color 0.4s', }}>{(t * 100).toFixed(0)}%

TRAINING

{/* corner ticks */} {[[0,0],[1,0],[0,1],[1,1]].map(([x,y], i) => ( 0.4 ? 'var(--ex-signal)' : 'rgba(240,238,233,0.4)'}`, borderRight: x ? `1px solid ${t > 0.4 ? 'var(--ex-signal)' : 'rgba(240,238,233,0.4)'}` : 0, borderTop: y ? 0 : `1px solid ${t > 0.4 ? 'var(--ex-signal)' : 'rgba(240,238,233,0.4)'}`, borderBottom: y ? `1px solid ${t > 0.4 ? 'var(--ex-signal)' : 'rgba(240,238,233,0.4)'}` : 0, }}/> ))}

{/* Output */}

OUTPUT VOICE

{/* synthesized waveform — quality grows with t */}

0.1 ? 1 : 0.3, transition: 'opacity 0.4s' }}>flat → 0.4 ? 1 : 0.3, transition: 'opacity 0.4s' }}>natural → 0.7 ? 'var(--ex-signal)' : 'rgba(240,238,233,0.4)', transition: 'color 0.4s', }}>human

{t < 0.3 ? 'monotone · robotic' : t < 0.6 ? 'fluent · readable' : t < 0.85 ? 'expressive · natural' : 'warm · indistinguishable'}

); }; const Capability = () => ( {(t) => } ); function synthWave(w, h, t) { const pts = 80; let d = `M 0 ${h/2}`; for (let i = 1; i <= pts; i++) { const x = (i / pts) * w; const phase = i * 0.4 + t * 8; // Higher t = more harmonics, more variation const amp = (h / 2 - 6) * (0.3 + t * 0.7); const env = Math.sin((i / pts) * Math.PI); let y = h/2; y += Math.sin(phase) * amp * env * 0.5; if (t > 0.2) y += Math.sin(phase * 2.4) * amp * env * 0.3 * Math.min(1, (t - 0.2) * 4); if (t > 0.5) y += Math.sin(phase * 5.1 + 1) * amp * env * 0.18 * Math.min(1, (t - 0.5) * 4); d += ` L ${x.toFixed(1)} ${y.toFixed(1)}`; } return d; } const Process = () => { const steps = [ { n: '01', name: 'Scope', desc: '30-minute call to confirm languages, domains, annotation depth, and delivery format.', meta: 'DAY 0 · ~30 MIN' }, { n: '02', name: 'Sample', desc: 'Representative cut delivered inside 48 hours. Listen, inspect, request adjustments.', meta: 'DAY 1–2 · 48 H' }, { n: '03', name: 'Contract', desc: 'Licensing terms locked. Custom collection programs kick off in parallel if in scope.', meta: 'DAY 3–5' }, { n: '04', name: 'Deliver', desc: 'Audio, transcripts, and annotation layers shipped to your cloud. Ongoing support included.', meta: 'DAY 6–14' }, ]; return ( {(t) => { // Sequence: header settles 0 → 0.1, then four steps light up 0.1→0.85, dwell 0.85→1. // Each step has its own peak: step i lights up around (0.1 + i * 0.18). const stepProgress = (i) => { const start = 0.10 + i * 0.18; const end = start + 0.18; if (t < start) return 0; if (t > end) return 1; return (t - start) / (end - start); }; // Connector line fill — a continuous bar that grows across all 4 steps const lineFill = Math.max(0, Math.min(1, (t - 0.10) / 0.72)); const headDone = Math.min(1, t / 0.08); return (

PROCESS · /004

From request to delivery in under two weeks.

Every engagement starts with a scoped sample cut. If the cut is right, we move to full delivery on your infrastructure.

{/* Connector bar */}

{steps.map((_, i) => { // Circle lights up only when the connector line actually // reaches it. Each circle sits at i/3 of the bar. const pos = i / 3; // Smooth crossfade across a tiny window centered on pos so // the dot fills exactly as the line head passes through. const span = 0.012; const reach = Math.max(0, Math.min(1, (lineFill - (pos - span)) / (span * 2))); return (

0.5 ? 'var(--ex-signal)' : 'var(--ex-cream)', border: `2px solid ${reach > 0.05 ? `color-mix(in oklch, var(--ex-rule-strong), var(--ex-signal) ${reach * 100}%)` : 'var(--ex-rule-strong)'}`, boxShadow: reach > 0.5 ? `0 0 ${8 + reach * 12}px var(--ex-signal-glow)` : 'none', transition: 'background 0.05s linear, box-shadow 0.05s linear', }}/> ); })}

{steps.map((s, i) => { const lit = stepProgress(i); return (

0.5 ? 'var(--ex-signal)' : 'var(--ex-mute)', transition: 'color 0.2s', }}>{s.n} · STEP

{s.name}

{s.desc}

0.5 ? 'var(--ex-signal)' : 'var(--ex-mute)', transition: 'color 0.2s', }}> {lit > 0.95 ? '✓ ' : lit > 0.05 ? '● ' : '○ '}{s.meta}

); })}

); }} ); }; const CTA = () => (

{/* Top edge marker — coral hairline, the section break */}

Request a sample.

Share your training requirements and we'll deliver a representative sample cut of the corpus within 48 hours.

hello@extrian.com →

SAMPLE_REQUEST.JSON

{`{
  "languages": ["es-MX", "es-AR"],
  "domains": ["conversation", "emotional"],
  "annotation": ["transcript", "prosody",
                 "paralinguistic"],
  "duration_hours": 200,
  "speakers": { "min_unique": 80 },
  "delivery": "s3://your-bucket/extrian/",
  "turnaround_hours": 48
}`}

); const Footer = () => ( ); window.Capability = Capability; window.Process = Process; window.CTA = CTA; window.Footer = Footer;