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What is Lenz?

Lenz is an advanced API specifically crafted for rigorous audit-level verification of assertions made by AI-generated content, catering to teams that need to confirm factual accuracy before sharing information with clients or customers. This innovative tool examines various text formats, including drafts, memos, and model responses, pinpointing factual statements that can be corroborated by reliable public resources while offering a comprehensive report for each claim. Its functionality revolves around four primary API features: extracting verifiable claims, conducting rapid assessments of these claims in bulk through multiple models, escalating unclear statements to a thorough verification process, and supporting follow-up inquiries based on the results obtained from the verification. The entire verification workflow is delineated into five distinct phases: identifying the issue, performing research, engaging in discussion, undergoing a panel review, and ultimately arriving at a conclusion. Lenz diligently scours public information, assessing evidence based on criteria such as authority, relevance, and timeliness, while incorporating models from various providers to present arguments for both sides of a claim. In the end, it provides a verdict along with a confidence score, references to the sources cited, and a detailed account of the reasoning, enabling users to perform their own audits and ensuring a high level of transparency and dependability. By utilizing Lenz, teams can significantly improve their decision-making capabilities, guaranteeing that all claims are meticulously scrutinized before they are communicated to their intended audience, ultimately fostering a culture of accuracy and trustworthiness in information sharing.

What is Hudson Labs?

Hudson Labs serves as an advanced digital investment research platform that integrates AI-augmented fundamental research tools alongside meticulous forensic analysis and the pioneering Hudson Labs Co-Analyst feature. This platform offers automated overviews of company histories, earnings calls, and key financial metrics, enabling users to reclaim between four to ten hours of their weekly schedules. Its forensic risk assessment features leverage AI to methodically evaluate qualitative risk factors such as related party transactions, governance issues, and management integrity concerns, ensuring comprehensive analysis. The Hudson Labs Co-Analyst further enhances the platform's reliability by creating structured comparisons from earnings calls, scrutinizing peer comments, and accurately extracting guidance. The trust placed in this platform by asset managers overseeing assets worth more than $600 billion highlights its capacity to provide dependable and consistent insights grounded in factual information. By emphasizing precision while avoiding unnecessary embellishments, Hudson Labs not only supports user confidence but also fosters an environment where informed investment decisions can thrive. This commitment to clarity and reliability positions Hudson Labs as a critical tool for today’s investment professionals looking to navigate complex financial landscapes.

Media

Media

Integrations Supported

ChatGPT
Claude
Claude Code
Claude for Legal
Cursor
Model Context Protocol (MCP)
WhatsApp
Zapier
n8n

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$7.99 per month
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Lenz

Date Founded

2026

Company Location

Bulgaria

Company Website

lenz.io

Company Facts

Organization Name

Hudson Labs

Date Founded

2019

Company Location

Canada

Company Website

www.hudson-labs.com

Categories and Features

AI Fact-Checking

Not specified

Categories and Features

Financial Research

Not specified

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