One cloud platform and a team of subject-matter experts — integrating, cleansing and monitoring portfolio, risk and regulatory data across every asset class.
A cloud-based enterprise data management platform — integrating, cleansing and monitoring portfolio, risk and regulatory data across all asset classes — implemented and run by our subject-matter experts and financial engineers, from deployment through managed services.
End-to-end deployment of the platform with data integration, cleansing workflows and custom dashboard configuration.
Centralized data integration across positions, transactions and reference data, with quality monitoring and governance frameworks.
Building bespoke risk models for alternative asset classes including private equity, real estate, structured securities and infrastructure.
Automated reporting solutions for Solvency II, AIFMD, PRIIPs, MiFID II, Form PF, CRD/CRR, OPERA, CCAR and FRTB.
Multi-vendor ESG data integration with portfolio-level monitoring, reporting dashboards and sustainability-aligned analytics.
Systems integration and data management for real estate, CMBS, private equity, natural resources, hedge funds and funds of funds.
We do the heavy lifting.
Funds, valuations, risk, LP reporting, capital activity and compliance — unified, and augmented by Azure AI throughout.
Firm-wide view. Total funds, AUM and published-vs-draft FMV up top; historical fair-market value, risk distribution and the live valuation workflow below.
Per-fund dashboard. Total MV, book value, active positions, average TVPI and a live fund risk score — plus full capital-activity tracking for LP structures.
Position-level valuation, AI-assisted. Every holding across identity, type & status, risk, cash flows and multi-currency valuations, with AI-recommended methods and parameters.
Fundamental vs quantitative, fund-level. A final fund score blends fundamental and quantitative inputs (50/50), adjusted for concentration and leverage, with an AIFMD-classification radar.
A retrieval-augmented assistant answers platform questions in context and turns plain-language scenarios — “moderate credit crunch,” “crypto winter” — into yield-curve shifts and parameter deltas.
Recommends valuation methods and parameters — risk-free rate, country risk premium, WACC, growth rate — with explanations and batch support.
Scores qualitative factors — Porter’s Five Forces, management quality, legal/tax, ESG — blending databases, external APIs (FRED, World Bank, ND-GAIN) and LLM analysis, with a full audit trail.
Describe the views you need; generates KPI cards, charts, tables and treemaps wired to live data — no schema knowledge required.
Azure Document Intelligence extracts structured data from PDFs and images; the Template Agent rebuilds report layouts into Stimulsoft templates from a reference document.
IPEV- and IFRS 13-aligned methods across equity/credit, infrastructure, real estate, real assets and crypto.
VaR (parametric, historical, Monte Carlo), Expected Shortfall, Credit VaR (Vasicek), Herfindahl–Hirschman, Sharpe, max drawdown, liquidity coverage, stress testing.
LP directory, waterfall simulator, capital-account statements, XIRR / time-weighted attribution — plus capital calls, distributions, fees and commitment tracking.
Mandate compliance with breach detection, MiCA for crypto, real-asset compliance (IMO, CORSIA, EU ETS) and a regulatory dashboard covering AIFMD, SFDR, Bank of Italy and SEC.
Type a scenario in plain language. ARM proposes the parameter shifts and re-solves your Value-at-Risk curve live.
Illustrative client-side model for demonstration. Production scenarios run on the risk engine across 50+ factors. Not investment advice.
Dedicated valuation methods, risk factors and reporting templates per asset class.
Delivered across Starter, Professional and Enterprise tiers, with role-based access and multi-currency support.
One pipeline carries every asset class from raw feeds to filed reports.
Data dictionary, integration, reconciliation, normalisation, validation, audit & lineage.
Monitoring dashboards and checkpoints for data quality and availability.
Modeling, proxying, sensitivities, aggregations, performance & attribution, SCR.
Regulatory reports, KPIs, management dashboards, historical analysis and BI.
Asset-liability, risk-adjusted return, asset allocation and product management.
A short walkthrough — data integration, risk analytics and regulatory reporting, end to end. Tell us a little about yourself to unlock it.
Strategic partnerships with the technology and data providers that power institutional finance.
Azure cloud infrastructure, Azure OpenAI for AI features and Azure Document Intelligence for extraction — enterprise-grade security and scale.
Native integration of Bloomberg market, reference and analytics data directly into the EDM data model.
ESG and sustainability data feeding portfolio-level monitoring, SFDR disclosures and Article 8/9 reporting.