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What is SnapFlux?

In today's banking landscape, integrating market data into risk management protocols for compliance and other back-office operations has become standard practice. SnapFlux presents a customized, all-in-one banking solution that leverages market information from established sources like Refinitiv, Bloomberg, and the European Central Bank, thereby relieving clients from the burden of maintaining their own market data systems. This platform is designed with robust features for redundancy and failover, enhancing its reliability. Users can conveniently manage data delivery through an intuitive web interface, and business service providers can implement a multi-entity configuration. The SnapFlux data universe is vast, offering standardized essential market information from a variety of vendors, including prices, quotes, and timestamps. Typical uses of this data include FX spots, yield curves, swap rates, and valuations of precious metals. Furthermore, the SnapFlux ecosystem extends to include share prices, warrants, and bonds, rendering it a thorough resource for banking and financial services. This adaptability empowers users to access a broad spectrum of financial metrics with ease, facilitating informed decision-making and strategic planning. Overall, SnapFlux stands out as a valuable tool for institutions aiming to streamline their financial operations.

What is FLUX 3 Action?

FLUX 3 Action is a dynamic 7B model designed to improve action prediction in robotics and other high-latency environments. It is founded on the multimodal FLUX 3 backbone and has been rigorously pretrained on extensive datasets that include images, videos, and audio, with a significant emphasis on video materials. Following this, it enters a joint video-action training and fine-tuning phase that is specifically tailored for various robotic applications and action frameworks. By processing instructions, visual data from cameras, and robot joint angles, FLUX 3 Action can forecast motor commands while also anticipating visual results, allowing robots to execute actions, reassess their environment, and refine their plans accordingly. Unlike traditional methods that separate visual prediction from control, this model merges future video predictions with action commands, effectively using insights gained from its comprehensive video pretraining to enhance robot control strategies. Impressively, its single-step 7B model boasts a success rate of 38.3% on the RoboLab-120 benchmark, underscoring its practicality in real-world scenarios. Additionally, this novel fusion of action and perception represents a groundbreaking leap forward in the domain of robotic control, paving the way for more sophisticated and capable robotic systems. As technology advances, the implications of such an integrated approach could lead to even more intelligent and responsive robots in various applications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Oraise

Date Founded

1994

Company Location

Switzerland

Company Website

www.oraise.com/snapflux/

Company Facts

Organization Name

Black Forest Labs

Date Founded

2024

Company Location

Germany

Company Website

bfl.ai/models/flux-3-action

Categories and Features

Risk Management

Not specified

Categories and Features

AI Models

Not specified

AI World Models

Not specified

Open-Weight AI Models

Not specified

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