Proof of Usefulness Report

Teleskope

Analysis completed on 2/4/2026

+571
Proof of Usefulness Score
Industry Mainstay

Teleskope is a high-potential Series A data security startup ($32.2M raised) addressing a critical market need (AI data sprawl/compliance). Despite the submitter providing low-quality, inaccurate data (e.g., claiming 'everyone' as audience), independent verification confirms significant traction, including enterprise customers (Ramp, LegalZoom) and strong backing (M13, Lerer Hippeau). The project scores highly on utility, innovation, and verifiable traction, though the submission quality itself was heavily penalized.

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Score Breakdown

Real World Utility+212.5
Audience Reach Impact+60.0
Technical Innovation+120.0
Evidence Of Traction+150.0
Market Timing Relevance+90.0
Functional Completeness+2.5
Subtotal+635
Usefulness Multiplierx0.90
Final Score+571

Project Details

Project URL
teleskope.ai
Description
Teleskope is a cloud-based platform that offers sensitive data management solutions, founded in 2022 by Julie Trias and Elizabeth Nammour. It focuses on automating data security, privacy, and compliance, particularly for the AI era, by providing precise visibility and automated remediation. The platform classifies sensitive data, detects and resolves privacy risks, and integrates with various environments to help organizations manage data sprawl and enable secure AI adoption.

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