beneat
Probability density intelligence. ML-driven frameworks identifying high-probability zones before price arrives.
Last updated: December 2025
executive summary
Beneat is a probability density intelligence platform that provides institutional-grade quantitative analytics. Our proprietary four-layer framework analyzes millions of blockchain transactions to identify high-probability zones before price arrives.
Built for hedge funds, trading desks, and sophisticated allocators. Delivered via API, WebSocket, or custom integration.
the problem
In crypto markets, informed flow moves before price. Identifying where high-accuracy actors are positioning—and at what price levels—provides critical edge. Without quantitative frameworks, this information advantage remains inaccessible.
Manual Research Overhead
Research teams spend 4-8 hours daily analyzing wallet behavior with no systematic framework for prioritization.
Tool Limitations
Existing platforms surface data but lack probabilistic frameworks for identifying high-conviction zones.
Unvalidated Intelligence
Most on-chain analytics lack statistical validation. No confidence scoring, no backtestable methodology.
Temporal Disadvantage
Without automated detection, informed flow positioning is identified only after the edge has diminished.
our edge
We build institutional-grade quantitative infrastructure for probability density intelligence. Our proprietary framework provides:
the solution
Our algorithm continuously monitors blockchain activity across multiple chains, analyzing millions of wallets to identify high-accuracy actors with consistently strong performance.
When multiple high-accuracy actors begin accumulating at similar price levels within a short timeframe, we detect this clustering and generate a probability zone. These multi-actor convergence events historically indicate higher-conviction price levels than single-actor activity.
Every zone passes through our proprietary four-layer validation:
Statistical Validation
Multi-factor probability scoring with adaptive market regime detection.
Behavioral Analysis
Pattern recognition to filter wash trading, bot activity, and anomalies.
technology overview
Beneat is built on modern, scalable infrastructure designed for real-time blockchain data processing:
Multi-chain Support
Currently Ethereum, Solana, and Base. Additional chains based on user demand.
Real-time Processing
On-chain data indexed and analyzed with minimal latency for timely signals.
Read-only Architecture
We analyze public blockchain data. No wallet connections, no custody, no transaction signing.
Transparent Data
Every wallet and transaction we reference is publicly verifiable on-chain.
early validation
Before building the full platform, we validated our core hypothesis: can algorithmic behavioral analysis outperform manual research?
We ran our behavioral analysis algorithm against 6 months of historical on-chain data (June - December 2024) across Ethereum and Solana. Hit rate defined as zones where price moved 20%+ within 48 hours of detection.
Past performance in backtesting does not guarantee future results.
how it works in practice
How Beneat fits into a typical trading workflow:
Review Active Zones
See overnight probability zones with actor track records and confidence scores.
Verify & Decide
Check historical performance, contract details, liquidity. We surface data—you make the call.
Execute Strategy
If it fits your risk profile, trade. 10 minutes instead of 4 hours.
Real-Time Alerts
Notifications when new zones hit your criteria. Filter by chain, score, or confidence.
timeline
Building in public. Shipping fast.
team & philosophy
We're a small team of engineers and traders who got tired of the noise. We've been burned by signal groups, overwhelmed by manual research, and frustrated by tools that showed us data without telling us what mattered.
Our philosophy: build useful software, be honest about capabilities, let the product speak for itself. We're not promising guaranteed returns. We're building a tool that gives you an edge—what you do with it is up to you.