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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Dobs is a comprehensive AI solution tailored for financial due diligence, utilizing advanced AI agents to transform chaotic data rooms into polished workbooks within minutes rather than the traditional weeks. This platform enables transaction teams to effectively analyze critical financial aspects such as proof of cash, payroll, and EBITDA with an impressive accuracy rate exceeding 99%, which significantly diminishes the reliance on manual spreadsheet work and expedites the review process. Designed to manage and interpret inconsistent financial documents, Dobs extracts structured data, organizes accounts, reconciles information, and produces outputs ready for analysis that teams can leverage for due diligence, reporting, and strategic decision-making. Its AI agents cater to a variety of applications within financial due diligence, as well as sectors like construction, real estate, and property management, assisting users in reviewing T12s, benchmarking performance, uncovering hidden expenses, mitigating covenant risks, and recording change orders. In addition to these capabilities, Dobs enhances real estate investment evaluations by offering AI-driven parsing, automated account mapping, real-time benchmarking, and a dynamic chat feature for deal discussions, ensuring users have access to the most relevant insights for informed decision-making. As a result, Dobs not only streamlines the due diligence process but also empowers teams to make timely and well-informed financial decisions.

Description

SubQ 1.1 Small is the second iteration of Subquadratic’s long-context AI model, built to help enterprises solve problems that require reasoning across entire artifacts rather than isolated chunks. The model is designed for use cases involving large code repositories, document libraries, legal agreements, financial reports, contracts, and other complex information sets. Its Subquadratic Sparse Attention architecture reduces the compute burden of traditional dense attention, making it more practical to process multi-million-token contexts. SubQ 1.1 Small achieves near-perfect performance on needle-in-a-haystack retrieval tests up to 12M tokens, despite being trained primarily at 1M tokens. It also performs strongly on RULER, GPQA Diamond, LiveCodeBench, and AutomationBench Finance, showing a balance between long-context retrieval and general reasoning ability. At 1M tokens, the model uses 64.5x less compute than dense attention and runs 56x faster than FlashAttention-2 on a single attention layer. This efficiency makes long-context training and inference more scalable for enterprise AI applications. SubQ 1.1 Small is especially valuable for teams that need to analyze relationships across full documents, trace logic across codebases, or connect information across extensive collections. The model is intended to help organizations reduce dependence on complex retrieval workarounds and reason more directly over large-scale data.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code No 
OpenAI No 
OpenAI Codex No 
SubQ No 

Integrations

Claude Code Yes 
OpenAI Yes 
OpenAI Codex Yes 
SubQ Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DOBS AI

Founded

2024

Country

United States

Website

dobs.ai/

Vendor Details

Company Name

Subquadratic

Founded

2026

Country

United States

Website

subq.ai/subq-1-1-small-technical-report

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