Every capability built for regulated, high-stakes decisions
From data ingestion to model output, תداول AI is structured around one principle: analysis that is fast, auditable, and defensible under scrutiny.
Point solutions leave gaps. תداول AI closes them.
Most analytics tools solve one part of the workflow — data cleaning, or visualization, or alerting — and leave the rest to spreadsheets and manual review. In regulated markets, that gap is where errors, delays, and compliance exposure accumulate.
תداول AI is built as a single connected system, so the features below are not isolated modules. Each one feeds the next, from raw data intake through to a documented decision record.
One pipeline, from raw input to actionable output
תداول AI ingests structured and unstructured data, normalizes it against a consistent internal schema, and routes it through model layers built for the constraints of regulated environments — auditability, traceability, and repeatable logic.
The result is a single pipeline your team can inspect, question, and rely on, rather than a black box that produces numbers without context.
The features your analysis and decision workflow actually needs
Real-Time Data Synthesis
Continuously ingest market, operational, and internal data sources, merged into a single working view instead of scattered dashboards.
Scenario Modeling
Run comparative scenarios against current conditions to see how a decision behaves under different assumptions before you commit to it.
Configurable Risk Thresholds
Define the tolerance bands relevant to your mandate, and let the platform flag deviations rather than surface undifferentiated noise.
Decision Audit Trail
Every recommendation is logged with the inputs and logic behind it, producing a record your compliance or investment committee can review.
Role-Based Access
Control who can view, adjust, or act on specific data sets and model outputs, aligned to your internal governance structure.
Exportable Reporting
Turn model output into structured reports suited for internal review, client communication, or regulatory documentation.
Feature availability may vary by account tier and integration scope. Configuration is completed jointly with your team during onboarding.
How the features come together in practice
Monitoring across positions
Combine position-level data with market signals so exposure changes surface early, rather than at the next scheduled review cycle.
Continuous monitoringStructured deal evaluation
Run new opportunities through the same modeling framework used for existing holdings, keeping evaluation criteria consistent.
Standardized criteriaDocumentation on demand
Generate the underlying rationale for a decision when a regulator, auditor, or internal stakeholder asks for it.
Audit-ready outputForward-looking allocation
Use scenario comparisons to inform resource or capital allocation decisions before conditions shift further.
Scenario comparisonThree feature layers, working in sequence
Connect & Normalize
Existing data sources are connected and standardized into a shared model, so every subsequent feature works from the same foundation.
Analyze & Model
The platform applies contextual models to identify risk, opportunity, and deviation, surfacing what merits attention.
Decide & Document
Outputs are structured for action and retained as a documented record, supporting both internal review and external scrutiny.
See how these features apply to your workflow
Request access to discuss which parts of the תداول AI platform are most relevant to your current data, team structure, and regulatory context.