Platform

Explore the
Kinetic Core

A unified architectural system combining AI intelligence, financial execution, and strategic orchestration. Every layer is purpose-built for institutional-grade performance.

The Kinetic LMM Processing Flow

From raw market data to actionable intelligence — in under 100ms.

Inputs
timeline Time-Series
article Financial Text
monitoring Order Flow
psychology
Kinetic LMM
Multi-Modal Model
Transformer Architecture
Cross-Modal Attention
Downstream Tasks
Classification
Forecasting
Generation
Reasoning
NER
+ 4 more
account_tree
Strategy
Event Graph
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Execution
<100ms
LMM Capabilities

Ten Specialized Task Verticals

The Kinetic LMM is pre-trained on financial corpora and fine-tuned across ten distinct task families — each one designed for a specific facet of market intelligence.

category

Classification

Label market regimes (bull/bear/sideways), sentiment polarity, asset risk categories, and earnings surprises with multi-class precision.

Regime Detection Sentiment Labels
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Forecasting

Predict return distributions, volatility regimes, and price targets across microsecond to quarterly horizons using attention-based temporal models.

Price Prediction Vol Forecasting
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Generation

Synthesize realistic market scenarios, stress-test data, and hypothetical economic environments for robust strategy validation.

Scenario Synthesis Stress Testing
psychology

Reasoning

Chain-of-thought explanations for every signal and trade decision. Full transparency into the why — not just the what.

Explainable AI Audit Trail
hub

Graph Analysis

Map dependencies in the global financial system — contagion paths, sector correlations, counterparty risks — before they materialize.

Systemic Risk Correlation Maps
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Risk Assessment

Real-time portfolio exposure monitoring, tail-risk prediction, VaR estimation, and automatic circuit-breaker triggers.

VaR Estimation Circuit Breakers
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Named Entity Recognition

Extract companies, instruments, economic indicators, and market-moving events from unstructured financial text at scale.

Entity Extraction Event Detection
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Summarization

Compress earnings calls, SEC filings, analyst reports, and news into concise, structured, actionable intelligence briefs.

Earnings Briefs Filing Analysis
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Question & Answer

Query the model in natural language about any instrument, macro condition, strategy logic, or historical event.

Natural Language Financial QA
Explainable AI

Glass-Box vs. Black-Box

Institutional compliance requires explainability. Stratify is architected from the ground up with transparency as a core principle — every signal, every decision, attributable and auditable.

Legacy Black-Box
Capability
Stratify LMM
Opaque decision paths — no traceability
Explainability
Full reasoning chains per signal & trade
Static rule-sets require manual updates
Adaptability
Self-correcting continuous learning loop
Price & volume only — text blind
Data Modalities
Time-series + text + order flow (multi-modal)
Proprietary closed systems
Auditability
Compliance-ready audit trail per decision
Limited backtesting, no walk-forward
Validation
Walk-forward validation with realistic fills
Technical Specifications

Built for Institutional Scale

Every architectural decision optimized for high-throughput, low-latency, and compliance-ready financial infrastructure.

View Full Capabilities
Execution Latency Target <100ms
ML Framework PyTorch + MLflow
Database PostgreSQL + TimescaleDB
Infrastructure Docker + Kubernetes
Target Uptime SLA 99.9%
Broker Integration MetaTrader · IB · REST API
Languages Python · Java · TypeScript

Ready to see it in action?

Explore the interactive demos or join the waitlist for early access.

Model Builder Demo Strategy Designer Demo