LSO-MAX

LSO-MAX

Financiometrics
SubQ

SubQ

Subquadratic
+
+

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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Financial risk management platform for financial institutions

Audience

Developers, AI engineers, and enterprises that need large-context language models for coding, data analysis, and advanced AI workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Financiometrics
www.financiometrics.com

Company Information

Subquadratic
Founded: 2026
United States
subq.ai/

Alternatives

Alternatives

Claude Mythos

Claude Mythos

Anthropic
Claude Opus 4.6

Claude Opus 4.6

Anthropic
SubQ

SubQ

Subquadratic
Claude Opus 4.7

Claude Opus 4.7

Anthropic
DeepSeek-V4

DeepSeek-V4

DeepSeek

Categories

Categories

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

Integrations

Claude Code
OpenAI
OpenAI Codex

Integrations

Claude Code
OpenAI
OpenAI Codex
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