Most platforms handle authentication by asking you to trust a new user database. Data Liberator works with the one you already have. Okta, Entra ID, Google Workspace, SAML, OIDC. If that's how your organization manages access, that's how Liberator works. In Part 4 of the series, Ryan Bermel, CloudQuant's Head of Engineering, breaks down how Data Liberator handles authentication, authorization, and granular access controls. Link in comments. Book a demo at https://hubs.la/Q04d6VSS0. #DataSecurity #IAM #AISecurity #DataGovernance #DataLiberator #CloudQuant
About us
CloudQuant transforms how financial services organizations deliver and consume data. Our Data Liberator platform eliminates traditional barriers to data access, enabling organizations to monetize datasets and streamline operations without the need for expensive infrastructure. Data Liberator connects directly to existing data stores—databases, cloud storage, file repositories, and live streams—creating a secure, client-ready access layer that accelerates time-to-market and reduces integration complexity. THE PROBLEM WE SOLVE: Traditional data delivery involves complex formats requiring extensive engineering, weeks of integration, “all or nothing” packages, fragmented storage, and costly duplication. OUR SOLUTION: Data Liberator’s zero-copy architecture enables: • Research-ready datasets via API immediately • Customized trials in days, not weeks • Granular control by symbol, column, and date range • Unified access across multi-cloud environments • Direct source access without replication OUR TECHNOLOGY: Purpose-built for financial professionals with native support for point-in-time analysis, backtesting, and real-time streaming. Features include: • Enterprise-grade security with customized entitlements • Multi-language support: Python, R, C++, C#, JavaScript, Excel • Comprehensive audit trails and role-based access • Works with AWS, Google Cloud, Azure, and private clouds INDUSTRIES SERVED: Financial exchanges, market data vendors, alternative data providers, asset managers, hedge funds, proprietary trading firms, brokerages, quantitative researchers, and fintech companies. KEY BENEFITS: FOR DATA PROVIDERS: • Faster onboarding and revenue realization • Reduced infrastructure overhead • Complete usage tracking and control • Monetize historical data efficiently FOR DATA CONSUMERS: • Eliminate lengthy integration projects • Focus on alpha generation, not data engineering • One API for multiple data sources • Maintain governance and compliance
- Website
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http://cloudquant.com
External link for CloudQuant
- Industry
- Financial Services
- Company size
- 11-50 employees
- Headquarters
- Chicago, IL
- Type
- Privately Held
- Founded
- 2016
Locations
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Primary
Get directions
550 W. Jackson Blvd
Suite 720
Chicago, IL 60661, US
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Get directions
1875 Kramer Lane
Austin, TX, US
Employees at CloudQuant
Updates
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Part 3 of our Data Liberator series is live: Stop Paying to Move Data You Already Have Ryan Bermel, our Head of Engineering, gets into the mechanics — cross-dataset joins across databases, platforms like Salesforce, ServiceNow, and others, in a single query. Intelligent caching that requires zero configuration. Billion-row datasets processed without a single ETL pipeline. The traditional answer to scale is more compute and more infrastructure. We have a different answer: Link in comments. #CloudQuant #DataLiberator #ZeroETL #AIReadiness #DataVirtualization
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Data Liberator v2.0 is live. Part 2 of our blog series is too. Part 1 was about why you shouldn't move data. Part 2 is about what's possible when your team can talk to it instead. Ryan Bermel walks through how we built an MCP server that lets Claude query your data conversationally, securely, and instantly. No SQL. No tickets. No waiting. Query everything. Move nothing. https://hubs.la/Q049TWGk0 #CloudQuant #DataLiberator #ZeroETL #MCP #ClaudeAI #AIReadiness
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Query everything. Move nothing. That's what CloudQuant Data Liberator does, and Ryan Bermel is breaking it all down in a four-part series. Built for the finance industry, we've seen it work across healthcare, manufacturing, and any industry suffering from scattered, complex data. Part 1 is live now. Our latest release brings serious AI capabilities that make any data source instantly queryable and eliminate the storage cost that comes with duplicating files across systems. Curious what that looks like for your organization? Book a demo at https://hubs.la/Q048-yh80. https://hubs.la/Q048-wNQ0
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The hardest part of building with AI isn't the model — it's making your data accessible enough for it to actually work. Our Head of Engineering, Ryan Bermel breaks down the infrastructure problem most firms hit before their AI ever runs. If your team is spending more time maintaining pipelines than building, this one's for you.
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Your options for giving teams access to data can be tricky: A) Lock it down tight (research grinds to a halt) B) Open the floodgates (auditors have a field day) C) Manual approvals for everything (everyone loses) There IS an Option D) CloudQuant Data Liberator. Our Head of Engineering, Ryan Bermel, wrote about how we built it to solve for the less-than-ideal options.Simplifying AI Data Access with Granular Control: How Liberator's Entitlements Engine Enables Secure Model Training https://hubs.la/Q044k_B60
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When a headline screamed that US GDP "disappointed," the graph backing it up told a dramatic story — but only because someone had quietly manipulated the time scale, the axis, and the chart type. Tayloe Draughon looked at the underlying data to find a different story. Think you know how to read a chart? This one will make you think twice. See why context matters.→ A Few Clicks Changed Everything: How One Chart Turned Growth into Gloom. https://hubs.la/Q044k-Vh0
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Your Quant team doesn't have a talent problem. They have a data access problem. Guy Scott breaks down ways to clear the bottlenecks that slow down research, insights, and smart decision-making in our latest post. If this sounds familiar, let’s talk about how CloudQuant Data Liberator can clear the path. https://hubs.la/Q043W4h60
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CloudQuant is proud to collaborate closely with ICE and the ICE Connect team to deliver and power the Data Integrator—bringing together proprietary and third-party data with seamless integration. Exciting developments ahead!
ICE Connect brings together advanced trading tools, cross-asset data, global news, and analytics in one place. Hear from ICE’s Maurisa Baumann on how ICE Connect helps market participants make quicker, more informed decisions, and stay ahead of what’s next. Watch the full conversation: https://lnkd.in/e-TfGd2k
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CloudQuant reposted this
We’re excited to share that CloudQuant has partnered with MT Newswires, a global leader in real-time financial news. Together, we’re turning high-quality market news into AI-ready data—helping investment teams across the financial services industry unlock insights faster, accelerate model development, and power smarter decisions. This collaboration marks a major step toward making trusted news directly usable in advanced analytics and AI environments. Full details here: https://lnkd.in/gKwnxS5Q Curious about how CloudQuant can unleash your data for new revenue streams and more intelligent decision-making, visit https://lnkd.in/eC56UqDe #AIdata #FinancialNews #CloudQuant #MTNewswire
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