RiskCloud is an advanced platform for data management, financial analytics, and risk — providing a unified environment for data ingestion, analytical computation, reporting, and process management. Five core capabilities, built to be easy to maintain and deploy at enterprise scale.
No-code ingestion and control — one source of truth.
Risk, valuation, simulations, and regulation.
Complex hierarchies and data structures.
Cloud-native — scalable for financial institutions.
AI analyst for navigation, analysis, and insight.
RiskCloud unifies data management, analytics, reporting, infrastructure, and an embedded AI agent — modular by design, and configurable through parameters rather than code.
A no-code data layer built for low maintenance and fast iteration. Unify fragmented sources, separate assets from positions, and govern financial rules from a single place.
Multi-asset valuation across fixed income, equities, and derivatives — options, swaps, IRS, forwards, futures. Multiple modeling approaches per asset, including custom prepayment patterns.
Real-time simulator: change portfolio composition and the exposure report updates instantly. Scenarios combine rates, spreads, and historical paths — recomputed on every run.
A fully flexible hierarchical structure with multiple levels per the user's needs. Compare runs across instruments, exposures, and time. Export to Excel.
Cloud Native. Scalable for financial institutions, with built-in controls, security, and governance. RBAC, isolated network, secrets vault, immutable audit log.
Aria is a built-in analyst — navigates the system, builds transformations, runs queries, and surfaces insights.
Aria runs analyses, builds transformation maps, and creates visualizations from natural-language prompts — every prompt logged, every action approved.
Skills are natural-language playbooks that teach Aria how to handle institution-specific tasks — your risk workflow, your reporting preferences, your modeling method. Defined in plain language, no code, versioned and shareable across teams.
Every prompt and every tool call is logged. Retroactively review any action the agent took, with the inputs and outputs preserved.
No customer data is used to train models. No cross-tenant context. Full separation between environments.
Powerful ETL unifies data sources.
AI-powered inconsistency detection.
Mainstream & extended models, regulation, attribution tools.
Benchmark to market portfolio & competition.
Synthetic portfolios & what-if real-time simulation.
Hedgetech-managed deployment in your region of choice. Multi-AZ by default; Multi-Region optional.
Deployed inside your VPC with private endpoints, IP allowlists, and a fully isolated data plane.
Full on-premise install for institutions with the strictest data-residency or sovereignty requirements.
A 30-minute demo with a Hedgetech engineer. No deck. Just the platform.
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