Observable data
Onchain records and connected crypto context form the factual foundation.
AI-native crypto intelligence workspace
Cryptoshould beunderstandable.
CryptoLLM brings onchain activity, wallets, tokens, protocols and the wider crypto environment into one evidence-grounded intelligence workspace — made explorable through the CryptoLLM AI Analyst.
CryptoLLMAI Analyst
Onchain activityWallets & accountsTokens & contractsProtocols & marketsEvidence & provenancePersonal research
InvestigateUnderstandConnectCompareProveResearchInvestigateUnderstand
The platform
One workspace for the full context of crypto.
Not another feed of isolated metrics. CryptoLLM is structured to connect observable data, deterministic analysis and AI-guided exploration — so a question can move from signal to evidence without losing its context.
Deterministic intelligence
Independent analysis layers establish facts, states and relationships before AI interprets them.
Evidence and provenance
Conclusions remain connected to the observations and reasoning that support them.
AI-native exploration
The CryptoLLM AI Analyst turns structured intelligence into clear, contextual answers and follow-up paths.
Ask CryptoLLM
What matters here — and what evidence supports it?
CryptoLLM AI Analyst
The answer begins with verified observations, then connects the relevant entities, movements and protocol context. Interpretation remains distinct from the underlying facts.
ObservationsRelationshipsContextEvidence
The AI layer
AI that works from evidence, not around it.
The AI Analyst is the natural-language layer across the workspace. It helps users investigate, compare and understand complex crypto activity while the underlying analysis remains grounded in deterministic results.
- Ask naturally.Start with the question, not a query language.
- Follow the reasoning.Move from explanation back to supporting evidence.
- Keep the context.Continue analysis across connected objects and research paths.
Platform direction
Built for a growing field of crypto intelligence.
CryptoLLM is not defined by a fixed list of screens or isolated features. The architecture is designed to deepen analysis, connect more context and open further intelligence domains over time.
Deeper analysis
Richer deterministic models, stronger evidence chains and more precise explanations.
Connected context
More relationships across onchain activity, entities, assets, protocols and market structure.
Broader intelligence
New areas of crypto analysis connected through the same evidence-first workspace.
Founder 500
Help shape a more understandable crypto intelligence workspace.
Founder 500 brings together analysts, researchers, builders and serious crypto users around the first controlled product experience and the direction of the wider platform.