LSO-MAXFinanciometrics
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SubQSubquadratic
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Related Products
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About
The Large-Scale Optimizerâ„¢ has been developed jointly by Michael Best, Professor Emeritus, Department of Combinatorics and Optimization, University of Waterloo, and Jivendra Kale, President, Financiometrics Inc. It is an exceptionally fast quadratic optimizer for constructing long-only, long-short, and market-neutral portfolios with thousands of assets, and managing their risk relative to a normal, or benchmark portfolio. You can also use it for asset allocation, based on Markowitz mean-variance analysis.This is an unlimited version of the Large-Scale Optimizerâ„¢ that can be licensed as an app, or as a subroutine library that you can embed in your program. The Large-Scale Optimizerâ„¢ uses an active set method, which we have enhanced by using penalty function methodology, to gain dramatic increases in speed to reach a true global optimal solution for very large, real world portfolio optimization problems with variable transactions costs.
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About
SubQ is a large language model developed by Subquadratic, designed specifically for long-context reasoning tasks. It can process up to 12 million tokens in a single prompt, allowing it to analyze entire codebases, long histories, and complex datasets at once. The model uses a sub-quadratic sparse-attention architecture that improves efficiency by focusing only on the most relevant relationships in the data. This approach reduces computational overhead while maintaining strong performance on large-scale tasks. SubQ is optimized for use cases such as software engineering, coding agents, and long-context retrieval. It delivers fast processing speeds and operates at a lower cost compared to many traditional models. Developers can access SubQ through APIs or integrate it into coding tools for enhanced workflows. Its architecture enables scalable AI reasoning without the limitations of standard transformer models.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Financial risk management platform for financial institutions
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Audience
Developers, AI engineers, and enterprises that need large-context language models for coding, data analysis, and advanced AI workflows
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationFinanciometrics
www.financiometrics.com
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Company InformationSubquadratic
Founded: 2026
United States
subq.ai/
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Categories |
Categories |
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Financial Risk Management Features
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
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Integrations
Claude Code
OpenAI
OpenAI Codex
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