Proof of Usefulness Report

Graviti

Analysis completed on 1/22/2026

+296
Proof of Usefulness Score
Gaining Momentum

Graviti (graviti.com) appears to be a legitimate Series A data infrastructure company offering tools like TensorBay for unstructured data management. However, the submission quality is extremely poor, containing verifiable falsehoods (e.g., 'most people have used my product', 'audience reach: everyone') and nonsensical data ('marketcap: null'). While the underlying technology (data versioning, splitting/merging) addresses a genuine problem in MLOps and holds high utility, the low quality of the response and the exaggerated claims severely penalize the Traction and Audience Reach scores. The score reflects a promising technology project hampered by a lack of serious presentation and verified evidence in this specific submission.

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Score Breakdown

Real World Utility+15.0
Audience Reach Impact+2.0
Technical Innovation+10.5
Evidence Of Traction+1.25
Market Timing Relevance+8.0
Functional Completeness+0.25
Subtotal+37
Usefulness Multiplierx0.80 (Applied scaling x10 to match calibration)
Final Score+296

Project Details

Project URL
Description
We are building the next-generation data management platform which is tailored for machine learning applications either in its training stage or in its operation stage. Most of the data (especially the unstructured data) for machine learning applications are stored and managed in a shared file system, which is not designed for scalability nor for collaboration. Our product is engineered to solve those problems with advanced features, like version control, advanced search, splitting and merging, etc. With those features, engineerings do not have to spend hours of their time to deal with data manually or write boilerplate code repeatedly. We also make data easy to share within organizations and to collaborate on. Our customers and users are AI developers who value their time and would like to do creative work to be more impactful.

Algorithm Insights

Market Position
Growing utility with room for optimization
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