Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Atlas represents an advanced omni world model designed for spatial intelligence, seamlessly engaging with text, images, video, and 3D data. As a sophisticated multimodal autoregressive diffusion transformer, it integrates various inputs into a common spatial framework while predicting subsequent elements and ensuring coherence in 3D with its observations and creative visions. This powerful model facilitates world generation, reconstruction, and simulation across diverse applications. It possesses the capability to produce images and videos based on one or multiple reference images, offering precise camera control to yield lengthy and coherent videos following custom-designed camera trajectories. In terms of spatial reconstruction, Atlas excels at reimagining real-world environments from limited input images, allowing it to generate unique perspectives and deliver explicit 3D outputs like point clouds and 3D Gaussian splats. With the addition of more input views, the model can further enhance context, leading to increasingly accurate reconstructions with less reliance on imagination. Furthermore, Atlas also analyzes and predicts the evolution of worlds over time, adding a dynamic layer to its capabilities.
Description
SubQ Snap is a sophisticated decision-making model designed for both enterprise and agentic workflows, enabling rapid, structured decisions across extensive datasets. It effectively manages various tasks, including identifying relevant files, choosing the appropriate tool, verifying result validity, assessing whether to proceed with a workflow, and determining the necessity of a frontier model. Unlike traditional text generators, Snap operates by taking into account specific context, a posed question, and a limited range of possible answers to produce a probability distribution for those responses. It can process up to 384K tokens, integrating diverse forms of information such as codebases, contracts, interaction histories, logs, screenshots, charts, diagrams, and scanned documents within a single query. Utilizing Subquadratic Sparse Attention technology, Snap significantly diminishes the resources needed to analyze lengthy inputs, while its decision head adeptly correlates contextual representations to permissible answers without relying on autoregressive text generation. This innovative approach enhances efficiency and accuracy in decision-making processes across various applications.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.05 per million input tokens
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
World Labs
Founded
2024
Country
United States
Website
www.worldlabs.ai/blog/atlas
Vendor Details
Company Name
Subquadratic
Founded
2024
Country
United States
Website
subq.ai/introducing-subq-snap