Proof of Usefulness Report

Loris.ai

Analysis completed on 1/25/2026

+635
Proof of Usefulness Score
Category Standard

Loris.ai is a high-value Conversational AI project with verifiable commercial success, having been acquired by Contentsquare in July 2025. Spun out of Crisis Text Line, it leverages a unique dataset to train NLP for empathy in Customer Experience (CX). While the submission input was low-effort (vague claims like 'everyone' and 'most people'), the description provided sufficient keywords (Vertex, Floodgate, Crisis Text Line) to verify significant backing (~$19M raised) and market traction. The project scores highly on utility and traction due to its exit and investor pedigree, despite the poor quality of the form completion.

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Score Breakdown

Real World Utility+212.5
Audience Reach Impact+75.0
Technical Innovation+127.5
Evidence Of Traction+180.0
Market Timing Relevance+90.0
Functional Completeness+5.0
Subtotal+690
Usefulness Multiplierx0.92
Final Score+635

Project Details

Project URL
Description
Loris is an AI company building NLP-based conversational intelligence software for CX teams to understand their customer needs in real time. \n\nLoris now works with fast-growing D2C and B2C brands across multiple industries including marketplace, fintech and delivery, and our novel dataset consists of millions of anonymized textual interactions between businesses and their customers.\n\nThe idea of Loris was born from Crisis Text Line, a nonprofit organization that provides free, text-based counseling. Everyone on our team believes language matters, and we are an empathy-first organization. We look forward to growing our team with like-minded, multidisciplinary individuals from diverse backgrounds. We're based in NYC and Tel Aviv and backed by top investors, including Vertex, Floodgate, and Jeff Weiner.\n

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline