What is QYNION?
QYNION (Quantitative Intelligence for the AI Economy) is an institutional-grade intelligence platform that tracks, scores, and ranks the global AI ecosystem in real time.
Think of it as a Bloomberg Terminal for AI — a quantitative system that measures which AI entities are gaining real power, which are weakening, and where capital and attention are flowing.
QYNION applies hedge-fund-style factor modeling to the AI industry, producing objective scores, ratings, and forward-looking signals that help you cut through hype and identify what's actually happening in the AI ecosystem.
Who is QYNION for?
Track AI ecosystem momentum before it becomes mainstream news. Identify emerging leaders and detect overheated narratives before corrections.
Understand which AI platforms are gaining real developer adoption vs marketing hype. Make infrastructure decisions based on momentum data, not press releases.
Monitor the global AI landscape with quantitative metrics. Track capability progression, ecosystem dependencies, and geopolitical AI power shifts.
Identify which AI frameworks and platforms are accelerating. Spot emerging opportunities before they become obvious. Understand where developer talent is migrating.
Key Concepts
A Tier (≥60th percentile): Strong performer — consistent above-average momentum.
B Tier (≥30th percentile): Developing — mixed signals or building momentum.
C Tier (<30th percentile): Early stage — limited data or declining signals.
Using the Dashboard
Reading the Stats Bar
The 5 cards at the top give you an instant system snapshot:
— Active Entities: entities being tracked
— Raw Data Records: data points collected
— Scoring Engine: when last scored
— Top Alpha Score: current #1 entity
— Fear & Greed: overall market sentiment (0–100)
Reading the Fear & Greed Index
A score below 40 means the ecosystem is in risk-off mode — entities are losing momentum broadly. Above 65 means broad acceleration. Current neutral (40–65) means selective growth.
Reading Entity Cards
The top 5 cards show the current leaders. The amber border = #1 ranked entity. Blue borders = #2–5. Watch these daily — position changes indicate momentum shifts.
Reading the Leaderboard
Columns explained:
RANK: Current position (updates daily)
SCORE: Alpha score 0–100
TIER: S/A/B/C classification
RATING: AAA–B credit-style rating
VELOCITY: Developer activity bar
RESEARCH: Research publication velocity per week (green if accelerating)
PERCENTILE: Where this entity ranks vs all others
⚡: Divergent signal — factors conflicting
FACTORS: 5 colored dots = 5 factor scores
Leaderboard
The Leaderboard is the canonical ranking view for all tracked entities. Sort by rank, score, or tier. Each row links to full entity intelligence. Use the velocity bar to spot entities accelerating faster than their rank suggests, and watch for the ⚡ divergence flag when factor scores disagree.
The embedded forecasts tab on the leaderboard provides a quick cross-section of 7-day projections without navigating to the dedicated Forecasts page.
Entity Intelligence
Click any entity to open its detail page: factor radar chart, historical score trajectory, rating history, active signals, and category metadata. The radar chart reveals why an entity ranks where it does — compare factor shapes between competitors to find structural advantages vs temporary hype.
Forecasts
The Forecasts page shows authenticated 7-day alpha projections: current score, day-7 projected score, momentum direction, dominance probability, and expected regime on day 7. Requires an API key (set NEXT_PUBLIC_API_KEY in Vercel for automatic loading).
Geo Intelligence
Geo Intelligence aggregates entity scores by country to show where AI ecosystem power is concentrated. Use it to track geopolitical shifts — when a country's aggregate alpha rises while another falls, it often precedes policy and investment narrative changes.
Ratings Agency (Page)
The Ratings page lists all entities with their current QYNION credit rating, recent upgrades/downgrades, and rating distribution histogram. Filter by rating tier to find speculative opportunities or stable leaders.
Signals Terminal
The Signals Terminal shows all active and recent signals with type, confidence, affected entity, and expiry. Signals are colour-coded by type. Check daily — a new BREAKOUT or SPECULATIVE_WARNING on an entity you track is a research trigger, not an automatic action.
Reports
Intelligence Reports are generated narrative summaries of ecosystem state — regime context, top movers, and thematic analysis. Use reports for a weekly digest; use the dashboard and signals for daily monitoring.
The QYNION Multi-Factor Scoring Engine
5 quantitative factors combining into one Alpha Score
QYNION ALPHA SCORE
Why it matters: Real adoption beats announced adoption. Combines deployment proxies, ecosystem reach, and hiring momentum into a single adoption signal.
Why it matters: Developers vote with their time. Ecosystem momentum predicts mainstream adoption 6–18 months in advance.
Why it matters: Sentiment direction matters more than absolute sentiment. Rising sentiment on a previously negative entity is a stronger signal than sustained positive coverage.
Why it matters: Capability is the foundation. The highest-weighted factor because technical leadership is the most durable competitive moat.
Why it matters: Attention precedes adoption. Rising attention flow and accelerating research output predict future score improvements.
Scoring Methodology
Each entity receives a raw factor score (0–100) per dimension, normalised against the full entity universe. Factor scores are combined using fixed weights (see Factor Model) into the Alpha Score. Percentile ranks and tier assignments are computed daily after the ingestion pipeline completes.
Scores are relative — an entity at 70 is strong compared to peers today, not an absolute capability measure. Rank changes of 3+ positions in a week are statistically significant given typical daily variance.
A factor that does not apply to an entity is left out rather than scored zero: Performance Delta measures model capability, so entities that make no models (frameworks, vector databases, infrastructure) are scored on the other four factors, with the weights shared out among them. Inputs older than their source's freshness limit, or that jumped implausibly, are also left out, and every score lists its coverage and sources on the entity page.
Regime Detection
The regime engine classifies the macro AI ecosystem into one of four states based on aggregate score velocity, breadth of improvement, and variance across entities:
The current regime appears in the sidebar and on the dashboard. Always interpret individual entity scores in regime context.
Understanding Signals
Signals are high-confidence alerts generated only when multiple factors confirm a pattern. QYNION generates a maximum of 3 signals per day and allows zero-signal days — quality over quantity.
| Type | Meaning | Confidence | Duration | Implication |
|---|---|---|---|---|
| BREAKOUT | All 5 factors above 60, tier S | 85%+ | 72 hours | Strong broad momentum |
| DOMINANCE | Rank #1 with score above 80 | 90%+ | 7 days | Sustained leadership |
| EMERGING_ALPHA | A-tier entity with high velocity | 75%+ | 48 hours | Watch for tier upgrade |
| SPECULATIVE_WARNING | High sentiment but low performance | 80%+ | 24 hours | Hype exceeding capability |
| INFRASTRUCTURE_EXPANSION | Infrastructure entity with alpha >70 | 78%+ | 5 days | Compute layer strengthening |
The ⚡ divergence flag on a leaderboard row means an entity has conflicting factor signals — some factors strong, some weak. This can indicate either hidden strength being discovered or overheated hype. Treat divergent entities with extra scrutiny.
Research Velocity Signal
QYNION tracks academic publication momentum for tracked AI entities.
This measures how actively each entity is advancing AI research — not just shipping products.
Research velocity feeds into the Attention Flow factor (15% weight) and provides a leading indicator of future capability improvements.
Entities with accelerating paper output tend to show capability improvements 4–8 weeks later.
QYNION Ratings Agency
QYNION generates quantitative ratings similar to credit ratings agencies, but for AI ecosystem health rather than creditworthiness.
Ratings change daily based on:
1. Alpha score trajectory (improving or declining)
2. Factor divergence (conflicting signals = downgrade)
3. Regime context (DETERIORATION = broad downgrade pressure)
4. Stability (consistent scores = upgrade pressure)
Valuation Intelligence
QYNION tracks last known valuations for 28 of 40 tracked entities and computes a Score/Valuation ratio — a unique signal showing whether an entity's ecosystem strength is reflected in its market value.
Signal interpretation:
- UNDERVALUED (>10): Strong score vs valuation — may represent opportunity.
- FAIRLY_VALUED (2–10): Score and valuation broadly aligned.
- PREMIUM_VALUED (0.5–2): High valuation vs score — premium requires delivery.
- HIGHLY_PREMIUM (<0.5): Significant premium; high expectations embedded.
Important: This is not investment advice. QYNION scores measure ecosystem momentum, not financial performance or future returns. Valuation data may be outdated.
QYNION Intelligence Sources
QYNION operates eight proprietary intelligence pipelines updated daily.
Each entity profile shows data freshness and ingestion mode for full transparency on data quality — without exposing methodology that could be gamed.
Enterprise customers receive full methodology documentation under NDA.
Package Download Intelligence
QYNION tracks package download velocity for AI libraries — the most direct available signal for framework and library adoption.
Package downloads measure:
- Developer adoption of AI frameworks
- SDK usage by builders
- Ecosystem growth around AI platforms
Key tracked packages include:
torch— 40M+ downloads/monthtransformers— 38M+/monthlangchain— 6M+/monthopenai(Python SDK) — 5M+/month
Package velocity is incorporated into the Adoption Momentum factor (20% weight) alongside deployment signals and talent acquisition posting velocity.
Update Frequency
The daily pipeline runs at approximately 06:00 UTC. Ingestion completes first, followed by scoring, signals, ratings, forecasts, and geo aggregation. The research intelligence stage may take several minutes due to rate limits. If the pipeline indicator in the sidebar shows degraded status, scores may be stale until the next successful run.
Webhooks
Team and Enterprise workspaces can receive events at their own https endpoint (Account → Webhooks): alert.triggered, signal.fired, regime.changed and scores.updated. Each delivery is a JSON POST with an id, type, created_at and data.
Verify every request before trusting it. The Qynion-Signature header looks like t=1727650000,v1=5f2c…. Compute HMAC-SHA256 over {t}.{raw body} with your endpoint's signing secret, compare it with v1 in constant time, and reject timestamps more than five minutes old. Retries resend the same Qynion-Event-Id, so use it to ignore duplicates. Respond with any 2xx status; anything else is retried with backoff for about 12 hours.
import hashlib, hmac, time
def verify(secret: str, header: str, body: bytes) -> bool:
parts = dict(p.split("=", 1) for p in header.split(","))
if abs(time.time() - int(parts["t"])) > 300:
return False
expected = hmac.new(secret.encode(), f"{parts['t']}.".encode() + body,
hashlib.sha256).hexdigest()
return hmac.compare_digest(expected, parts["v1"])Limitations & Known Constraints
QYNION primarily uses public ecosystem signals, news sentiment, and curated benchmark data. Companies with limited public presence may be underrepresented relative to their actual market position.
Performance delta scores use a curated baseline dataset updated periodically — not real-time benchmark tracking. Scores reflect approximate capability tiers, not daily benchmark updates.
Signal accuracy and forecast confidence improve with more historical data. During the first 14 days of operation, momentum signals have lower confidence. Full signal accuracy is reached after 30+ days of daily pipeline runs.
34 of 40 tracked entities are US-based, reflecting the current concentration of the global AI ecosystem. This is an accurate representation of the current landscape, not a data gap.
Nothing on this platform constitutes investment advice. QYNION is an intelligence and research tool. Always conduct your own due diligence before making any decisions.
How to Use QYNION Effectively
DO ✅
- ✅ Check the dashboard daily for regime changes
- ✅ Watch the Fear & Greed index trend over time
- ✅ Use signals as research triggers — investigate the entity further when a signal fires
- ✅ Compare factor breakdowns between entities to understand WHY rankings differ
- ✅ Use the Geo Intelligence page to understand country-level AI power concentration
- ✅ Track rating changes week-over-week for momentum confirmation
- ✅ Use entity detail radar charts to identify factor imbalances
- ✅ Cross-reference QYNION scores with your own research before acting on any insight
DON'T ❌
- ❌ Don't treat scores as buy/sell signals
- ❌ Don't ignore the divergence ⚡ flag — it means the score has low reliability
- ❌ Don't over-weight day-1 data — wait for 7+ days of scores before drawing conclusions
- ❌ Don't confuse developer ecosystem dominance with business dominance — Microsoft ranks high on velocity but that doesn't mean Azure AI leads on capability
- ❌ Don't ignore the regime — a DETERIORATION regime means even high-scoring entities may be losing momentum
- ❌ Don't mistake QYNION ratings for financial credit ratings — they measure different things
- ❌ Don't rely solely on QYNION for any decision — it's one intelligence layer among many
Disclaimer
QYNION is provided for informational and research purposes only. All scores, ratings, signals, and forecasts are derived from publicly available data and quantitative models that may contain errors, omissions, or delays. Past score trajectories do not predict future performance of any company, product, or investment.
The operators of QYNION make no warranties regarding accuracy or completeness. Users assume full responsibility for any decisions made using this platform. By using QYNION you agree to conduct independent verification of all material claims.