4.7 out of 5 stars
(869 Ratings)
Sogolytics, an experience management platform, allows companies to collect, analyze and use employee and customer data to drive business growth. Sogolytics is used by organizations across all industries to track interactions at all touchpoints with customers and employees. The best-in-class reporting delivers real-time, actionable insights that help to prevent and mitigate potential problems.
SogoCX improves every aspect of a company's customer experience. This means improved conversion rates, simplified data management, and understanding customers to increase return on investment. Organizations can use SogoCX to measure key metrics like NPS, CSAT and CES.
SogoEX software is used by organizations to collect and use data to improve engagement and reduce turnover. This platform allows HR and leadership to drive organizational changes through real-time feedback collection and employee engagement.
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5.0 out of 5 stars
(54 Ratings)
Vehicle Acquisition Network (VAN) is private-party vehicle acquisition software for franchise and independent auto dealerships. It helps dealers buy used cars directly from consumers in their local market, alongside trade-ins and instead of paying up at auction.
VAN pulls for-sale-by-owner listings from 25+ online marketplaces into one dashboard, filters out dealer and scam listings and Do-Not-Call numbers, and adds VIN decoding and market valuation to each vehicle. Buyers call, text, and email sellers from inside VAN, and every conversation stays attached to the car it is about. On VAN Accelerate™, outreach and follow-up run automatically, KBB ICO leads get a text back within minutes, and AccuTrade leads get an automatic response.
For dealers without a buyer on staff, VAN Managed Buyer™ supplies a full-time buyer who is hired, trained, and managed by VAN. The dealership still makes the final buy decision and signs the check. Every plan includes an Acquisition Coach™, and VAN works with vAuto, VINCUE, CARFAX, AutoCheck, and most dealer CRMs.
VAN was founded in 2013 and serves dealers in the United States, Puerto Rico, and Canada. Plans start at $1,695 per month. To see VAN on your market, call 855-952-4949.
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DeepInfer
DeepInfer serves as an open-source framework designed for executing DeepSeek language models on Linux platforms that utilize compatible NVIDIA or Huawei Ascend accelerators. It encompasses a variety of features aimed at facilitating offline inference and efficient model execution, including optimized kernels, distributed parallelism, asynchronous batch scheduling, speculative decoding, and the generation of structured outputs in formats like JSON Schema, regular expressions, and EBNF. The project documentation covers support for DeepSeek-V4.1-Flash along with comprehensive guidance on building, configuring, and utilizing examples and evaluation tools. Aimed at developers and infrastructure teams, it assists in constructing or assessing self-managed inference deployments. Additionally, the repository highlights that for production services, there may be a need for supplementary components such as KV-cache, prefill/decode disaggregation, and load-balancing mechanisms that are not part of this particular release, ensuring users are aware of potential additional requirements as they implement the framework. Overall, DeepInfer is designed to optimize the deployment of language models in various contexts, addressing both fundamental and advanced operational needs.
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Muse Spark Open
5.0 out of 5 stars
(1 Rating)
Muse Spark Open is an open-weight foundation model developed by Meta to support multimodal reasoning, autonomous agents, and complex software development tasks. The model features 816 billion total parameters with approximately 42 billion active parameters and a context window supporting up to one million tokens. Its architecture is designed to process multimodal information while maintaining context across lengthy workflows, extensive codebases, and multistep assignments. Muse Spark Open provides capabilities for software engineering, code generation, debugging, application development, and automated testing. Its agentic functionality supports external tool interactions, task planning, computer-based workflows, and execution of complex objectives over extended sessions. The model can run locally using two Apple M5 Ultra Mac Studio systems with the MLX framework, enabling organizations to process information without relying on hosted inference services. Developers can deploy the model through SGLang, vLLM, TensorRT-LLM, Hugging Face Transformers, llama.cpp, and other supported inference engines. Customization is supported through PyTorch and TorchTitan, allowing organizations to adapt the model to specialized applications and workflows. Muse Spark Open is distributed under the Muse Model License and is available through Hugging Face, major cloud model repositories, and hosted API providers including Together AI, Fireworks AI, and OpenRouter.
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