Frequently Asked Questions

Vitilage is an artificial intelligence platform built specifically for financial professionals. It aggregates market data from over 120 global exchanges and data sources, processes that information through a suite of machine learning models, and delivers actionable insights through customizable dashboards, APIs, and real-time alerts. The platform covers equities, fixed income, commodities, foreign exchange, and selected alternative asset classes. Our core modules include portfolio analytics, market scanning, sentiment analysis, risk assessment, regulatory reporting, and client reporting. The goal is to reduce the time between a market event occurring and your team having the context needed to evaluate it. Vitilage does not provide investment advice or make trading decisions on your behalf. It is a decision-support tool that augments human expertise with computational speed and pattern recognition across large datasets. The platform was founded in 2017 and currently serves over 350 institutional clients across 42 countries.

Vitilage is built for institutional financial professionals, including portfolio managers, quantitative analysts, research teams, risk officers, compliance departments, and wealth advisors at mid-to-large financial firms. Our client base spans hedge funds, asset management companies, investment banks, family offices, pension funds, and independent advisory practices. The platform is modular, so smaller firms can start with specific capabilities and expand over time, while larger organizations can deploy the full suite across multiple teams and geographies. We designed every feature in collaboration with working professionals to ensure the tools complement existing workflows rather than adding unnecessary complexity. If you manage capital, analyze markets, or oversee financial risk in a professional capacity, Vitilage can likely add value to your operations.

No. Vitilage is a data analysis and intelligence platform, not a registered investment advisor, broker-dealer, or trading system. Our algorithms generate signals, confidence scores, sentiment readings, and analytical insights based on market data. However, all investment and trading decisions remain entirely with you and your team. The platform is designed to surface relevant information faster and in a more structured format than manual analysis would allow, but it does not tell you what to buy, sell, or hold. We strongly recommend that all outputs from the platform be reviewed and validated by qualified financial professionals before any action is taken. Vitilage operates as a technology vendor providing analytical tools, and we maintain clear boundaries between data analysis and financial advisory services.

Model accuracy varies by module and market regime, as is true for any quantitative analytical system. Rather than making broad accuracy claims, we take a transparency-first approach. Every signal generated by the platform comes with a confidence score, a historical hit rate for that specific signal type, and an explanation of the underlying factors that contributed to the output. Our sentiment analysis module, for example, maintains precision and recall metrics that are published in our quarterly model performance reports, which all clients receive. We retrain our models on a weekly basis using the most recent market data, which helps them adapt to changing volatility environments and evolving market structures. We also provide backtesting tools so that your team can independently evaluate how any signal or model would have performed across historical periods of your choosing. We believe informed skepticism leads to better outcomes, so we give you every tool needed to validate our outputs.

Vitilage covers a broad range of financial instruments and markets. On the equity side, we process data from major exchanges across North America, Europe, and Asia-Pacific, covering large-cap, mid-cap, and selected small-cap securities. Our fixed income coverage includes government bonds, investment-grade and high-yield corporate bonds, and mortgage-backed securities from key issuers. The commodities module tracks energy, metals, and agricultural futures across major exchanges like CME, ICE, and LME. Our foreign exchange module covers over 80 currency pairs, including major, minor, and selected emerging market crosses. We also ingest data from select cryptocurrency exchanges for clients who need digital asset coverage. In addition to price data, we aggregate macroeconomic indicators from over 40 countries, central bank communications, corporate earnings transcripts, and curated news feeds from financial publications. The exact coverage available to your account depends on your subscription tier, and our team can discuss specific instrument requirements during the demo process.

Our distributed computing architecture processes incoming market events and runs analytical models with an average latency of 47 milliseconds, measured from data ingestion to signal output. This speed enables near-real-time signal generation across thousands of instruments simultaneously. The actual latency experienced by your team will also depend on your network connection and geographic proximity to our nearest data center region. We operate infrastructure in three regions: EU (Frankfurt), US East (Virginia), and APAC (Singapore), so most institutional clients experience round-trip times well under 200 milliseconds for dashboard interactions and API calls. During high-volume periods such as market openings, earnings seasons, and significant macroeconomic events, our auto-scaling infrastructure dynamically allocates additional compute resources to maintain consistent processing speeds without degradation.

Data security is foundational to how we built the platform. All data is encrypted both in transit using TLS 1.3 and at rest using AES-256 encryption. Each client operates within an isolated tenant environment with dedicated encryption keys managed through a hardware security module. We implement role-based access controls that let administrators define granular permissions for every team member, along with multi-factor authentication for all user accounts. Comprehensive audit logging records every action taken on the platform, creating a tamper-proof trail that satisfies regulatory examination requirements. Our infrastructure is hosted in enterprise-grade data centers that hold ISO 27001, SOC 1, and SOC 2 certifications. We conduct annual penetration testing by independent security firms, and our engineering team follows a secure development lifecycle with code reviews and automated vulnerability scanning at every deployment stage. We also maintain a responsible disclosure program for external security researchers.

Vitilage maintains SOC 2 Type II certification, which is independently audited annually. This certification verifies that our security controls, availability measures, processing integrity, confidentiality protections, and privacy practices meet the rigorous trust service criteria established by the American Institute of Certified Public Accountants. Our infrastructure providers hold ISO 27001, ISO 27017, and ISO 27018 certifications. We are fully GDPR compliant for our European clients and maintain data processing agreements with all sub-processors. For clients in the financial services sector, our platform is designed to support compliance with MiFID II record-keeping requirements, Dodd-Frank reporting obligations, and Basel III risk calculation frameworks. We can provide our latest SOC 2 report, penetration testing summary, and completed vendor security questionnaires upon request during the evaluation process. Our compliance team stays current with evolving regulations to ensure the platform meets the expectations of your internal audit and information security teams.

No, absolutely not. We maintain strict data isolation between all client accounts. Any proprietary data you upload to the platform, including portfolio holdings, custom watchlists, internal signals, or any other confidential information, is stored in your isolated environment and is never shared with, visible to, or used to benefit any other client. Our machine learning models are trained on publicly available market data, not on proprietary client data. If you choose to create custom models or fine-tune our base models using your own datasets, those customizations remain exclusively within your account and are protected by the same encryption and access control policies as all other data. You retain full ownership of all data you bring to the platform, and our terms of service explicitly prohibit us from using client-specific data for any purpose other than delivering services to that specific client.

Yes. As a company registered and headquartered in London, United Kingdom, we are fully committed to compliance with the UK GDPR and the EU General Data Protection Regulation. We have appointed a Data Protection Officer who oversees all data handling practices. We maintain detailed records of processing activities, conduct regular Data Protection Impact Assessments for high-risk processing, and have established data processing agreements with all third-party sub-processors. Users can exercise their rights under GDPR, including the right to access, rectify, delete, restrict processing, and port their personal data, by contacting our privacy team at [email protected]. We respond to all data subject requests within the statutory 30-day period. For international data transfers outside the UK and EEA, we rely on Standard Contractual Clauses approved by the European Commission. Our full Privacy Policy provides comprehensive details on all data handling practices.

We provide a 99.9% uptime Service Level Agreement for all Professional and Enterprise tier clients. In practice, our actual uptime in 2025 was 99.97%, which translates to approximately 2.6 hours of unplanned downtime across the entire year. Our architecture is designed for high availability with redundant components across multiple availability zones within each data center region. Scheduled maintenance is performed during non-market hours and is communicated to all clients at least 72 hours in advance via email and our status page. In the event that we fail to meet the 99.9% SLA in any given calendar month, affected clients receive service credits as specified in their agreement. We also maintain a real-time status page that reports current system health across all modules, API endpoints, and data feeds, so you always have visibility into platform performance.

Most clients complete their initial integration within two to four weeks. The exact timeline depends on the complexity of your existing technology stack and the number of modules you plan to deploy. Our APIs are RESTful with WebSocket support for real-time streaming, and we provide comprehensive documentation alongside fully functional sandbox environments for testing before going live. For organizations with complex legacy systems, our solutions engineering team offers hands-on integration support, including code reviews, architecture consultations, and joint testing sessions. We also provide pre-built connectors for popular portfolio management systems such as Bloomberg AIM, Charles River IMS, and Aladdin, as well as connectors for order management platforms and business intelligence tools like Tableau and Power BI. These pre-built integrations can reduce setup time to as little as one week for standard configurations. Every new client receives a dedicated implementation manager who coordinates the process from kickoff through go-live.

We offer two primary API interfaces. The RESTful API is ideal for on-demand data retrieval, model execution, and batch operations. It supports standard HTTP methods with JSON payloads, API key authentication, and rate limiting based on your subscription tier. The WebSocket API is designed for real-time streaming use cases, delivering live signals, alerts, and market data updates with minimal latency. Both APIs are versioned, so you can adopt new features at your own pace without breaking existing integrations. We provide client libraries for Python, Java, JavaScript, and C# to accelerate development. Our API documentation includes interactive examples, code snippets, and a fully functional sandbox environment where your developers can test against simulated market data before connecting to live feeds. We also offer webhook support for push-based integrations, allowing you to receive notifications in Slack, Microsoft Teams, email, or any webhook-compatible system whenever specific conditions are met on the platform.

Yes. The Vitilage platform supports a "bring your own model" workflow for Enterprise tier clients. You can upload custom machine learning models built in Python, R, or any framework that produces standard output formats, and run them against our data infrastructure. This means your proprietary models benefit from our data aggregation, normalization, and delivery pipeline without requiring you to build and maintain that infrastructure yourself. You can also fine-tune our base models using custom parameters, proprietary factor definitions, and user-defined scoring criteria. All custom model code and configurations remain exclusively within your isolated environment. For teams that want to develop models collaboratively, we offer a shared workspace feature with version control and model comparison tools. Our data science support team can also provide guidance on model optimization and best practices for working within the platform, though we never access or examine the logic of your proprietary models without explicit written authorization.

Vitilage supports multiple notification channels to match how your team works. Alerts can be delivered through in-platform notifications with persistent history, email digests on configurable schedules, real-time messages to Slack or Microsoft Teams channels, and webhook callbacks to any system that accepts HTTP POST requests. Each user can customize their own alert preferences independently, setting filters by asset class, signal type, confidence threshold, geographic region, and time of day. You can create complex alert rules using our condition builder, such as "notify me when the sentiment score for any holding in Portfolio A drops below -0.5 and the 20-day volatility exceeds historical averages by more than two standard deviations." Alert frequency controls prevent notification fatigue, and a daily digest option compiles all non-urgent signals into a single morning briefing email. All delivered alerts link directly back to the relevant analysis within the platform for immediate drill-down.

The Vitilage web platform is fully responsive and optimized for tablets and mobile browsers, giving you access to dashboards, alerts, and key analytics from any device with a modern web browser. For clients who need a dedicated mobile experience, we offer a companion mobile app for iOS and Android that provides real-time alert management, portfolio health summaries, and quick-access views of key signals and watchlists. The mobile app uses the same authentication and security protocols as the main platform, including multi-factor authentication and biometric login support. While the mobile app focuses on monitoring and alert triage rather than deep analytical workflows, it ensures that portfolio managers and risk officers can stay informed when they are away from their primary workstation. Push notifications on mobile are governed by the same alert rules you configure on the web platform, keeping everything synchronized.

Vitilage aggregates data from a diverse network of over 120 sources. These include direct exchange feeds from major global stock exchanges, bond trading platforms, commodity exchanges, and FX venues. We also ingest macroeconomic data from national statistical agencies and central banks, corporate filings from regulatory bodies such as the SEC, FCA, and BaFin, earnings call transcripts from publicly listed companies, and curated news feeds from financial publications and wire services. Our natural language processing pipeline also monitors selected social media channels and financial forums for sentiment signals, though we apply rigorous filtering to separate meaningful market discourse from noise. For alternative data enthusiasts, we offer optional modules that incorporate satellite imagery analytics, shipping and logistics data, and patent filing activity as supplementary signals. Every data source undergoes continuous quality monitoring, and our data operations team investigates and resolves any anomalies, gaps, or latency issues within our published response time commitments.

Our sentiment analysis module uses a combination of transformer-based natural language processing models that have been fine-tuned specifically for financial language. Unlike general-purpose sentiment tools, our models understand the nuances of financial terminology, where words like "exposure," "leverage," or "aggressive" carry different connotations than in everyday language. The module processes thousands of documents every hour, including news articles, earnings call transcripts, analyst reports, regulatory filings, and selected social media content. For each tracked entity, whether a company, sector, commodity, or macroeconomic theme, the system produces a composite sentiment score on a scale from -1.0 to +1.0, along with a breakdown showing which sources contributed most to the score and how sentiment has trended over time. The module also detects significant sentiment shifts and can trigger alerts when a tracked entity's score moves beyond configurable thresholds. Historical sentiment data is available for backtesting, allowing your team to evaluate how sentiment-based signals would have performed across different market cycles and conditions.

Yes. Vitilage includes a comprehensive backtesting environment available to Professional and Enterprise tier clients. You can test any combination of signals, rules, and conditions against historical market data going back up to 15 years, depending on the asset class and data source. The backtesting engine accounts for realistic constraints such as transaction costs, slippage assumptions, and liquidity filters that you can configure to match your actual execution environment. Results are presented with detailed performance metrics including cumulative returns, drawdown analysis, Sharpe ratio, Sortino ratio, and monthly return breakdowns. You can compare multiple strategy variations side by side and export results in standard formats for further analysis in your own tools. It is important to note that backtesting results reflect hypothetical performance and do not account for all real-world execution factors. Past model performance should be used as one input among many in your evaluation process, not as a predictor of future results.

The risk assessment module calculates a broad set of portfolio and position-level risk metrics in real time. Core metrics include Value at Risk (VaR) at configurable confidence levels using historical simulation, parametric, and Monte Carlo methods. We also compute Expected Shortfall (Conditional VaR), maximum drawdown projections, beta and correlation matrices across user-defined factor sets, tracking error against custom benchmarks, and concentration risk scores. The stress testing module lets you run scenario analyses based on historical events such as the 2008 financial crisis, the 2020 pandemic shock, or the 2022 rate-hiking cycle, or create custom scenarios by defining specific moves across rates, equities, FX, and commodity prices. All risk calculations update dynamically as market conditions change, and you can set threshold-based alerts to be notified when any metric breaches a predefined level. Compliance teams can schedule automated risk reports for distribution to investment committees or regulatory bodies on daily, weekly, or monthly cadences.

Vitilage uses a modular subscription model with three tiers: Analyst, Professional, and Enterprise. Each tier includes a different combination of modules, data coverage, API access levels, and user seats. The Analyst tier is designed for smaller teams that need core analytics and market scanning capabilities. The Professional tier adds advanced modules like sentiment analysis, risk assessment, backtesting, and higher API rate limits. The Enterprise tier provides the full platform with custom model support, dedicated infrastructure, priority support, and flexible user seat configurations. Pricing is annual, with monthly billing available at a slightly higher rate. We do not publish specific pricing on our website because each organization's requirements differ in terms of data coverage, user count, and module selection. We encourage you to visit our pricing page for tier comparisons and then request a demo to receive a customized quote that matches your specific needs.

We offer a 14-day trial period for qualified organizations following a product demonstration. During the trial, you get full access to the platform tier that matches your intended use case, including all relevant modules, dashboards, and API endpoints. The trial environment runs against live market data so you can evaluate the platform under real conditions. To get started, we ask that you schedule a 30-minute demo with one of our product specialists who will configure the trial environment based on your asset classes, geographic focus, and analytical priorities. This approach ensures that your trial experience is relevant and productive from day one, rather than generic. There is no payment information required to start the trial, and our implementation team provides onboarding support throughout the 14-day period to help you get the most value from the evaluation. Request your demo here to begin the process.

Standard subscriptions run on an annual contract basis with automatic renewal unless either party provides written notice at least 30 days before the renewal date. Monthly billing is available for Analyst and Professional tiers at a rate approximately 15% higher than the annualized price, with the flexibility to cancel at the end of any billing cycle. Enterprise contracts are customized to each organization's requirements and may include multi-year terms with volume pricing for larger deployments. All contracts include our standard Service Level Agreement with uptime guarantees and support response times appropriate to the selected tier. If your needs change during the contract period, you can upgrade to a higher tier or add additional modules at any time, with the cost difference prorated for the remainder of your term. Downgrading is handled at the next renewal date. We do not charge early termination fees for annual contracts, though unused portions are not refunded after the first 30 days.

All subscription tiers include access to our support team during business hours (8:00 AM to 6:00 PM GMT, Monday through Friday) via email and our in-platform support portal. Analyst tier clients receive standard support with a 24-hour response time target. Professional tier clients receive priority support with a 4-hour response time target and access to scheduled technical consultations with our solutions engineers. Enterprise tier clients receive dedicated support with a 1-hour response time target for critical issues, a named account manager, a dedicated solutions engineer, and access to our 24/7 emergency support line for platform-critical situations. All new clients receive complimentary onboarding that includes platform training sessions, integration support, and configuration assistance tailored to their use case. We also maintain a comprehensive knowledge base with documentation, video tutorials, and best practice guides that all users can access at any time. Quarterly product webinars showcase new features and analytical techniques that help your team get more value from the platform over time.

We accept payment via bank wire transfer, ACH/SEPA direct debit, and major credit cards (Visa, Mastercard, American Express). Annual subscriptions are typically invoiced at the start of the contract term with net-30 payment terms for institutional clients. Monthly billing customers can pay by credit card with automatic recurring charges or by monthly invoice with net-15 terms. For Enterprise clients with specific procurement requirements, our finance team can accommodate purchase orders, custom billing schedules, and multi-entity invoicing arrangements. All invoices are issued in British Pounds (GBP), US Dollars (USD), or Euros (EUR) based on your preference. We do not charge any setup fees, implementation fees, or hidden surcharges beyond the agreed subscription price.