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Build scalable data foundations
Transform data into investment excellence

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A front-office solution for an ever more data-driven industry

StarQube software covers the whole investment decision process, from data acquisition up to order generation, offering investment firms a unique combination of Data Management and Portfolio Construction capabilities to minimize time-to-insight in the quest for performance. With the StarQube AI Layer, your teams can now put it all to work simply by asking.

Investment Data Management

Automate the whole data management life-cycle with a scalable, big-data ready platform. Collect, cleanse, reconcile and organize all your investment data around a unified referential, ready-to-use by investment teams. You may also entrust your data management to our team of experts.

The same data layer is AI-ready: checked, point-in-time and governed down to field level, so agents work on data they can trust.

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Portfolio Construction & Management

Leverage an enhanced investment cockpit to get the most of your data. Build and backtest investment signals, configure your risk factors, your portfolio objectives & constraints, analyze your portfolio and rebalance it in a click.

Or just ask: AI agents configure strategies and screens and explain analytics, running on the same validated engines your teams already use.

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What your peers say

ESG data as a strategic asset

“Our ESG data governance centralizes all extra-financial data on one platform, providing real-time access to all teams globally. Unlike organizations with compartmentalized databases, we maintain a unified ESG vision across subsidiaries with consistent scores and data. This structure enables rapid integration of new data while preserving company-wide consistency.”

Head of ESG solutions - Tier 1 Swiss Asset Manager

Robust portfolio construction workflow

“StarQube enables our entire investment decision-making cycle on a single platform, from data acquisition through backtesting to order generation. The integration of research and portfolio management eliminates operational risk—strategies we implement are exactly those we researched. With the permission system protecting our formulas and a complete audit trail tracking all modifications, we've strengthened our business model significantly while maintaining full control over the biases we want to manage.”

Head of Quantitative Strategies – Tier 1 Asset Manager

Managed data services to focus on alpha generation

“We outsourced data collection and organization to StarQube under a Data-as-a-Service model, allowing us to focus entirely on research, portfolio construction and alpha generation. Our clean data is available every morning, and our entire investment decision-making process—from data acquisition to order generation—is integrated into one cockpit. The audit trail lets us reconstruct and clearly explain how metrics are defined, how portfolios are built, and why investment decisions were made. This transparency exercise is highly appreciated by our clients.”

Chief Investment Officer – Equity Investment boutique

Discover client stories

Blog

AI-ready investment data

Blog

Nov 4, 2026

AI-ready investment data: Six requirements your data must meet before AI can use it

An AI model can only be as good as the data layer beneath it. Before asking what AI can do for your investment process, ask whether your data is ready to be used by a machine.

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Systematic Portfolio Management in Practice: A Roundtable Discussion

White papers

Jan 22, 2026

Systematic Portfolio Management in Practice: A Roundtable Discussion

Discover how leading European asset managers leverage systematic portfolio management to transform quantitative investment strategies. This exclusive roundtable brings together

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risk modeling

Blog

Nov 9, 2025

Beyond beta: Navigating the factor zoo and the evolution of risk modeling in finance

Effective risk modeling combines fundamental factors (Value, Momentum), statistical models (PCA), and exposure factors to capture systematic and hidden portfolio risks.

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