Scout is the AI-powered search engine for finding 3D models by picture across 3D stock marketplaces.
Simply drop image of object you are looking for and get the most similar 3D models available at various stock marketplaces with the filtering and direct links provided.
In default “Search asset by picture” mode Scout finds most similar models for the given picture.
In “Picture Assembler” mode Scout detects individual object in the complicated picture and suggests 3D models, textures and shaders that given picture could be recreated from in 3D.
“Free assets” filter allows users to search through free models only.
Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
The result: Less time and money on analytics.
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Scout by Asseter.AI's answer
Scout's primary audience is Digital content creators, especially interior designers and architecture visualizers as well as motion designers, game designers and visual effects artists.
Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Scout by Asseter.AI's answer
Ability to find most relevant 3D models for your projects using only and image of an object you look like. In seconds.
Qrvey's answer:
Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
Scout by Asseter.AI's answer
Scout's main purpose is to shift the digital assets search paradigm and transform the searching process into a completely visual approach and artist-friendly experience. Which means that Scout works on the visual way as apposed to traditional text-based search engines
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Scout by Asseter.AI's answer
Scout has been created by Asseter.ai team as a visual search tool for Asseter.ai - next-gen digital asset management platform powered by AI. And slightly after it became a separate product, helping digital artists to find the most suitable 3D models by only picture, sketch or pencil drawing.
Scout by Asseter.AI's answer
Based on our record, Qrvey seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
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