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
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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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
Not Supported
Credit Risk Management
Not Supported
For Hedge Funds
Supported
Liquidity Analysis
Not Supported
Loan Portfolio Management
Not Supported
Market Risk Management
Not Supported
Operational Risk Management
Not Supported
Portfolio Management
Supported
Portfolio Modeling
Not Supported
Risk Analytics Benchmarks
Not Supported
Stress Tests
Not Supported
Value At Risk Calculation
Not Supported
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Integrations
Claude Code
Not Supported
OpenAI
Not Supported
OpenAI Codex
Not Supported
SubQ 1.1 Small
Not Supported
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Integrations
Claude Code
Supported
OpenAI
Supported
OpenAI Codex
Supported
SubQ 1.1 Small
Supported
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