/* ============================================================= Simthetica — placeholder brand mark + content sections ============================================================= */ const { useState, useEffect, useRef } = React; /* ---- Brand wordmark logo ------------------------------------ */ function Mark({ size = 52 }) { const w = Math.round(size * 464 / 119); return ( ); } /* ---- shared: section reveal-on-scroll wrapper -------------- */ function Reveal({ children, className = '', as = 'div', ...rest }) { const ref = useRef(null); useEffect(() => { const el = ref.current; if (!el) return; // reveal immediately if already within (or near) the viewport on mount const r = el.getBoundingClientRect(); if (r.top < window.innerHeight * 0.92) { el.classList.add('in'); return; } const io = new IntersectionObserver((es) => { es.forEach((e) => { if (e.isIntersecting) { el.classList.add('in'); io.unobserve(el); } }); }, { rootMargin: '0px 0px -8% 0px', threshold: 0.01 }); io.observe(el); return () => io.disconnect(); }, []); const Tag = as; return {children}; } /* ---- NAV ---------------------------------------------------- */ function Nav({ onJoin }) { const [scrolled, setScrolled] = useState(false); useEffect(() => { const onScroll = () => setScrolled(window.scrollY > 24); window.addEventListener('scroll', onScroll, { passive: true }); onScroll(); return () => window.removeEventListener('scroll', onScroll); }, []); const go = (id) => () => { const el = document.getElementById(id); if (el) window.scrollTo({ top: el.offsetTop - 64, behavior: 'smooth' }); }; return ( ); } /* ---- HERO --------------------------------------------------- */ function Hero({ onJoin }) { return (

Turning flight simulation tracks into structured autonomy data for overlooked + critical flight phases

Simthetica captures human-flown launch, recovery, and airport-surface scenarios from high-fidelity flight simulators, producing structured data for aviation safety and autonomy applications.

); } /* ---- BLOCK 1: PILOT VALUE ----------------------------------- */ function PilotValue({ onJoin }) { const points = [ 'Complete open missions or assigned data bounties', 'Capture telemetry, environment, flight state, and optional comms', 'Build a verified contributor record over time', 'Qualify for paid data missions as the network grows', ]; return (

For pilots

Your flight sim procedural experience and skill has value beyond just vanity landing rate metrics.

Every realistic flight contains decisions, corrections, procedures, communications, and aircraft-state changes that are hard to recreate with scripts alone. Simthetica gives serious sim pilots an economically productive way to contribute useful aviation data while flying in scenarios they already pursue.

    {points.map((p, i) => (
  • {p}
    • ))}
Session trace · SHB1421 Accepted
{[ { r: 'EGLL → EGCC', d: 'IFR · A320 · low-vis taxi + departure', p: '1.4h' }, { r: 'KSEA → KPDX', d: 'Night visual approach · PAPI', p: '0.8h' }, { r: 'LFPG ground', d: 'Surface movement · hold-short compliance', p: '0.3h' }, { r: 'KBOS → KJFK', d: 'Unstable approach · go-around', p: '1.1h' }, ].map((row, i) => (
{row.r}
{row.d}
{row.p}
))}
Contributor standing
Verified · tier 2
); } /* ---- BLOCK 3: WHAT SIMTHETICA CAPTURES ---------------------- */ function Capture() { const cats = [ { ic: 'Gauge', t: 'Flight state', d: 'Position, altitude, attitude, speed, heading, vertical speed, flight phase, and aircraft configuration.' }, { ic: 'Sliders', t: 'Control & systems', d: 'Throttle, yoke or stick, rudder, trim, gear, flaps, brakes, autopilot, flight-director modes, and avionics interactions.' }, { ic: 'Cloud', t: 'Environment', d: 'Airport, runway, taxiway, weather, visibility, lighting, wind, traffic, terrain, time of day, and scenery context.' }, { ic: 'Route', t: 'Pilot behavior', d: 'Procedure execution, timing, corrections, readbacks, deviations, hesitation, error recovery, and scenario outcome.' }, { ic: 'Radio', t: 'Comms context', d: 'ATC instructions, readbacks, frequency changes, clearance compliance, and phraseology events — when enabled by the pilot.', opt: true }, { ic: 'Layers', t: 'Synchronized trace', d: 'Every stream time-aligned into one replayable, searchable record of what the pilot saw and what happened next.' }, ]; return (

What we capture

Not just frame grabs. Complete aviation scenario traces.

A Simthetica session combines frame captures, optional infrared interpretations, vehicle telemetry, and control inputs into one synchronized data record.

{cats.map((c, i) => { const Ic = I[c.ic]; return (
{c.opt && Optional · pilot-enabled}

{c.t}

{c.d}

); })} The result is a structured aviation trace — a replayable, searchable record of what the pilot saw, what the aircraft was doing, what the scenario required, and what happened next.
); } /* ---- BLOCK 2: DEMAND-SIDE ----------------------------------- */ function Demand({ onJoin }) { const sources = [ { t: 'Autonomous ground, launch & recovery', d: 'Existing datasets cover enroute and mission phases, overlooking critical start and finish actions. Simthetica specializes in these areas.' }, { t: 'Airport surface safety', d: 'Taxi, runway crossing, hold-short, low-visibility, and runway-incursion scenarios with movement and clearance context.' }, { t: 'Aviation AI & world models', d: 'Rights-cleared, state-aligned aviation sequences for training or evaluating models that treat flight as an embodied task.' }, { t: 'Training & safety analytics', d: 'Human-error, recovery, procedure-following, and workload scenarios for improving instruction and safety systems.' }, ]; return (

For data customers

Built for teams that need aviation behavior data they cannot easily collect themselves.

Simthetica serves organizations that need realistic, human-in-the-loop aviation traces but do not operate their own large network of instrumented sim pilots. Instead of generic synthetic screenshots or scripted trajectories, you get scenario-specific data packages aligned with aircraft state, pilot behavior, environment, and task context.

{sources.map((s, i) => (
{String(i + 1).padStart(2, '0')}

{s.t}

{s.d}

))}
); } /* ---- BLOCK 4: HOW IT WORKS ---------------------------------- */ function HowItWorks() { const steps = [ { t: 'Join the beta', d: 'Create a Simthetica pilot profile and connect supported simulator environments.' }, { t: 'Install the sidecar', d: 'Run the lightweight capture app alongside Microsoft Flight Simulator 2024.' }, { t: 'Select a scenario', d: 'Choose open missions or assigned bounties: taxi, approach, landing, comms, weather, or procedural.' }, { t: 'Fly normally', d: 'Use specified aircraft models, procedures, and flight conditions to fit assigned scenarios.' }, { t: 'Review & submit', d: 'Review the captured session, confirm consent, and submit the trace.' }, { t: 'Build standing', d: 'Develop a verified contributor record based on quality, consistency, and accepted submissions.' }, ]; return (

How it works · pilots

Fly realistic missions. Contribute useful data. Stay in control.

 {steps.map((s, i) => (
{String(i + 1).padStart(2, '0')}

{s.t}

{s.d}

))}
); } /* ---- BLOCK 5: SCENARIOS (3) --------------------------------- */ function Scenarios() { const scn = [ { code: '1', t: 'Runway incursion', d: 'Capture hold-short compliance, conflicting clearances, and crossing conflicts as a pilot encounters — or narrowly avoids — an unauthorized runway entry.', tags: ['Ground', 'Incursion', 'Prediction'] }, { code: '2', t: 'Ground unit deconfliction', d: 'React to unexpected vehicle traffic in fluid situations', tags: ['Ground', 'Workload', 'Recovery'] }, { code: '3', t: 'Night visual approach', d: 'Capture visual cues, runway acquisition, PAPI/VASI interpretation, descent management, and configuration changes.', tags: ['Night', 'Visual', 'PAPI'] }, ]; return (

Example data missions

A sample of the scenarios pilots may be asked to fly.

 {scn.map((s, i) => (
{s.code}

{s.t}

{s.d}

{s.tags.map((t) => {t})}
))}
); } /* ---- BLOCK 7: WHY HUMAN-FLOWN ------------------------------- */ function WhyHuman() { const rows = [ ['Deterministic', 'Realistic variation'], ['Unnatural trajectories', 'Human timing and workload'], ['Known outcomes', 'Ambiguity and correction'], ['Easy to scale', 'Harder to fake convincingly'], ['Useful for baseline coverage', 'Useful for behavioral realism'], ]; return (

Why human-flown

Scripts can fly perfect paths. Humans create useful variance.

Scripted simulation is useful, but real pilots introduce timing, workload, interpretation, uncertainty, correction, and procedural judgment — often the difference between a clean synthetic animation and a trace that teaches a model how aviation actually unfolds.

Scripted simulation
Human-flown simulation
{rows.map((r, i) => (
{r[0]}
{r[1]}
))}

Simthetica focuses on the layer automation struggles to synthesize: plausible human aviation behavior inside realistic synthetic worlds.

); } /* ---- FOOTER ------------------------------------------------- */ function Footer({ onJoin }) { return ( ); } Object.assign(window, { Mark, Reveal, Nav, Hero, PilotValue, Capture, Demand, HowItWorks, Scenarios, WhyHuman, Footer, });