⚔️ AI Battle Board

38 AI companies — titans and challengers — sized by overall strength and color-coded by brand. Filter by capability (coding, image, video, audio…) and by tier. Click any bubble for stats, flagship models and a verified link.

Data updated — 🔄 Auto-refresh cadence: every 3h
Tier
👑 Leader

Bubble size = AI Power Index

low → high (0–100)
In a category view, size = strength in that category.

Keys

Gold ring = current leader in view
▲ Rising (last 90 days)
▬ Holding steady
▼ Cooling / pulling back

Tiers (filter above)

🏛 Titans — frontier labs & big tech
🚀 Challengers — scaled specialists
✨ Emerging — newer / smaller players

Market pulse

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Latest from verified sources

Refreshes on every data pull. Each item links to its original source.
🗓 Snapshot: —
# Company Power Index Trend Tier Valuation Strongest in Flagship Link
Valuations are from cited private rounds / IPO filings where disclosed. Public companies (Google/Alphabet, Microsoft, Meta, Alibaba, Kuaishou) show an approximate parent-company market cap for sorting only — these are whole-company figures, not AI-segment valuations. The Power Index is the board's primary metric.
VS

Capability gap analysis

Modeled on Semrush's Keyword Gap: leads / even / gap per category

Growth Quadrant — all 38 companies

AI Power Index (x) vs 90-day momentum (y). Modeled on Semrush Market Explorer's Growth Quadrant. Click a dot for details.

💰 Investor view

Valuation, revenue and momentum, sorted for capital-allocation questions: who's compounding, who's a cooling mega-cap, who's an under-the-radar riser. Revenue multiple is computed only where a clean $ figure was parseable from the sourced revenue string — never estimated.

Company Status Tier Valuation Revenue Rev. multiple Momentum Note
Data gap. This view uses only fields already sourced in ai_battle_data.js (valuation, revenue string, trend). It does NOT include cap tables, named investors/lead VCs, funding-round-by-round history, or burn/runway — none of that is in the current dataset and none is fabricated here. An open-source option worth wiring in: iloveitaly/openbook (open investor/VC database) — verify it's still actively maintained before relying on it.

🛠 Freelancer view

Pick the job you're doing, see which tools are actually strongest at it — ranked by capability score, with a flag for open-weights models you can self-host to dodge per-call fees.

Data gap. Capability scores here are the board's editorial Power Index breakdown, not verified $/token API pricing, free-tier limits, or docs quality. For real per-model pricing, BerriAI/litellm's model_prices_and_context_window.json is a actively-maintained, machine-readable open-source source that could enrich this view directly — worth wiring in as a follow-up.

Archive search

Search every past snapshot's pulse, news and company notes. New snapshots are captured on each refresh.
🗂 Snapshots: —
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