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Ratings and Reviews 0 Ratings
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SciSureSciSure is a platform for managing laboratory operations end-to-end, built for scientific organizations. It brings together ELN, LIMS, and Health & Safety tools so teams can document experiments, track samples, manage chemical inventory, and maintain compliance workflows that are structured and audit-ready. By replacing fragmented systems with a single governed platform, SciSure helps organizations improve reproducibility, gain clearer operational visibility, and scale lab operations with less risk.
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RunpodRunpod offers a robust cloud infrastructure designed for effortless deployment and scalability of AI workloads utilizing GPU-powered pods. By providing a diverse selection of NVIDIA GPUs, including options like the A100 and H100, Runpod ensures that machine learning models can be trained and deployed with high performance and minimal latency. The platform prioritizes user-friendliness, enabling users to create pods within seconds and adjust their scale dynamically to align with demand. Additionally, features such as autoscaling, real-time analytics, and serverless scaling contribute to making Runpod an excellent choice for startups, academic institutions, and large enterprises that require a flexible, powerful, and cost-effective environment for AI development and inference. Furthermore, this adaptability allows users to focus on innovation rather than infrastructure management.
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RegDeskRegDesk stands out as the leading RIMS platform enhanced by AI, tailored specifically for Medical Device, Pharmaceutical, and IVD companies. • Our unique Regulatory Intelligence encompasses data from over 120 countries, all presented in a uniform format, and includes timely alerts regarding regulatory updates. • With our AI-driven Application Builder, regulatory affairs teams can efficiently create and submit global applications in a fraction of the usual time. • The Change Assessment feature enables RA teams to evaluate the implications of changes on current products and determine the necessary actions. • Our Distributor Collaboration tool facilitates smooth workflows for communication and document sharing with external partners. • The Standards Management function simplifies the process for RA teams to locate and oversee both international and country-specific standards. • Additionally, our Tracking & Reporting capability empowers teams to monitor regulatory initiatives worldwide, receive notifications for renewals, and quickly compile reports on key performance indicators. To learn more about our offerings, please explore our website.
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SAP S/4HANA Cloud Public EditionSAP Cloud ERP is the modern, SaaS ERP built for growing mid-market manufacturers, distributors and omni-channel retail that need to replace outdated systems with a clean, standardized core. It delivers best-practice processes across finance, operations, manufacturing, supply chain, inventory, project services, being kept current with quarterly innovations. Executives gain real-time visibility and control with embedded analytics, workflow automation, and SAP Business AI for anomaly detection, forecasting, and AP automation. The result: faster closes, tighter cash conversion, improved on-time delivery, and fewer manual workarounds. Designed for scale, S/4HANA Cloud Public Edition supports multi-company, multi-location, multi-country operations, global compliance, and role-based security. A “clean core” approach allows for unique configurations while SAP Business Technology Platform (BTP) simplifies integrations and extensions so upgrades stay simple and predictable. The platform’s in-memory architecture (HANA) powers instant reporting on live transactional data, enabling CFOs, COOs, and CIOs to move from reactive to proactive decision-making. Commercially, the solution uses transparent subscription licensing aligned to user roles and modular line-of-business capabilities. Customers can start small and expand as needs grow adding advanced planning, embedded analytics, or industry capabilities without disrupting the core. Whether you’re standardizing one site or orchestrating multiple entities, SAP Cloud ERP provides a single source of truth for sales, operations and finance. Navigator Business Solutions is an SAP partner focused on mid-market ERP transformations. We help define your roadmap, implement fit-to-standard processes, migrate data, connect third-party systems, and enable your teams accelerating time to value while reducing risk. If you’re considering a ERP transformation project, include SAP Cloud ERP on your list. This is not your father's ERP
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LTXLTX builds open world models, AI systems that generate, simulate, and shape video, audio, and the physical world. Lightricks created LTX so that developers, studios, and enterprises can own the model they build on, not just rent access to someone else's. The current release, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer. It renders native 4K footage at up to 50fps and produces synchronized audio and video in one pass, no separate tools required. Independent benchmarks from Artificial Analysis place LTX in the top three AI video models worldwide. There is no single way to work with LTX. Pull the open weights and run the model yourself on your own machines. Take a commercial license for on-premise deployment with full enterprise support. Or use LTX Studio, the packaged production suite for creative teams that want the model without managing the infrastructure. ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA all build on it today. If you need a quick clip for social media, look elsewhere. LTX exists for AI teams turning video, audio, and simulation into part of their own product, not a novelty.
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LM-Kit.NETLM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease. Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process. With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.
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Lockbox LIMSA cloud-based Laboratory Information Management System (LIMS) is designed to oversee sample tracking, test outcomes, and inventory management specifically for life sciences research, industrial quality control laboratories, and biotechnology/next-generation sequencing applications. This comprehensive system provides essential regulatory compliance support for standards such as CLIA, HIPAA, Part 11, and ISO 17025, ensuring that laboratories operate within the necessary legal frameworks. The importance of quality, security, and traceability in managing samples cannot be overstated, as these factors play a pivotal role in a lab's effectiveness and reliability. Utilizing the Lockbox LIMS platform, laboratory professionals gain the ability to meticulously oversee their samples, offering complete transparency throughout the entire process, from initial accession to long-term preservation. Additionally, LIMS analysis encompasses far more than merely tracking outcomes; the Lockbox system features advanced multilayered sample storage capabilities and location management, allowing users to customize their laboratory's storage framework with diverse options that include rooms, storage units, shelves, racks, and boxes. This flexibility empowers labs to efficiently organize and access their samples, ultimately enhancing operational productivity and accuracy.
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Adaptive SecurityAdaptive Security was founded in 2024 by seasoned entrepreneurs Brian Long and Andrew Jones. Since inception, the company has raised over $50 million from top-tier investors including OpenAI, Andreessen Horowitz, and executives from Google Cloud, Fidelity, Plaid, Shopify, and other industry leaders. Adaptive defends organizations against sophisticated, AI-driven cyber threats such as deepfakes, vishing, smishing, and spear phishing. Its next-generation security awareness training and AI phishing simulation platform enables security teams to deliver ultra-personalized training that adapts to each employee’s role, access level, and exposure. This training leverages real-time open-source intelligence (OSINT) and features highly convincing deepfake content—including synthetic media of a company’s own executives—to mirror real-world attack vectors. Through AI-powered simulations, customers can continuously assess and improve organizational resilience. Hyper-realistic phishing tests across voice, SMS, email, and video channels evaluate risk across every major vector. These simulations are fueled by Adaptive’s AI OSINT engine, giving teams deep visibility into how attackers might exploit their digital footprint. Today, Adaptive serves global leaders like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. With an industry-leading Net Promoter Score of 94, Adaptive is redefining excellence in cybersecurity.
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Google Compute EngineGoogle's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
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QBenchLabs don't need another LIMS. They need a complete operating system for modern lab operations - and that's QBench, reshaping everything from order placement through sample processing to automated reporting. Simple. Powerful. Adaptable. Where other LIMS force labs into rigid structures built on heavy custom code and vendor dependency, QBench moves with you. It bends. It adapts. Your processes evolve, and QBench evolves too. It adapts to your secret sauce. Every lab has its own workflow, its own rhythm, and QBench respects that with unmatched configurability. You shape the workflows. You define the data fields. You stitch together the automations. QBench's former bench scientists work alongside you throughout, offering expert guidance and workflow suggestions. It automates the tedious work. File parsers and a robust API connect QBench to the instruments and systems you already run, so data flows on its own. No manual entry. No transcription errors. It unifies everything in one platform. Real-time inventory. A dedicated portal giving clients instant access to results. Built-in analytics. A QMS module that keeps you audit-ready, always. QBench helps labs work smarter - cloud-based, secure, and always evolving, like the science it supports.
What is NVIDIA Parabricks?
NVIDIA® Parabricks® is distinguished as the only comprehensive suite of genomic analysis tools that utilizes GPU acceleration to deliver swift and accurate genome and exome assessments for a variety of users, including sequencing facilities, clinical researchers, genomics scientists, and developers of high-throughput sequencing technologies. This cutting-edge platform incorporates GPU-optimized iterations of popular tools employed by computational biologists and bioinformaticians, resulting in significantly enhanced runtimes, improved scalability of workflows, and lower computing costs. Covering the full spectrum from FastQ files to Variant Call Format (VCF), NVIDIA Parabricks markedly elevates performance across a range of hardware configurations equipped with NVIDIA A100 Tensor Core GPUs. Genomics researchers can experience accelerated processing throughout their complete analysis workflows, encompassing critical steps like alignment, sorting, and variant calling. When users deploy additional GPUs, they can achieve near-linear scaling in computational speed relative to conventional CPU-only systems, with some reporting acceleration rates as high as 107X. This exceptional level of efficiency establishes NVIDIA Parabricks as a vital resource for all professionals engaged in genomic analysis, making it indispensable for advancing research and clinical applications alike. As genomic studies continue to evolve, the capabilities of NVIDIA Parabricks position it at the forefront of innovation in this rapidly advancing field.
What is ESMFold2?
Building upon its predecessor, ESMFold, ESMFold2 sets a new standard in the realm of single-sequence structure prediction while also enabling the design of novel functional proteins by delving into the latent space of the ESMC model. This sophisticated model can accurately predict high-resolution, all-atom 3D structures of biomolecular complexes directly from amino acid sequences and incorporates multiple sequence alignments to enhance accuracy for challenging targets. Designed to predict structures using both sequence and structural modalities, it utilizes ESM representations that power a sequence of looped folding layers, while a diffusion model converts pairwise representations into atomic-resolution results. ESMFold2 stands out in its ability to forecast protein structures from amino acid sequences, providing comprehensive structural information, including exact all-atom coordinates for backbone and side chains, as well as confidence metrics and optional distogram predictions for thorough structural analysis. In addition, its groundbreaking methodology deepens the understanding of protein folding dynamics and their functional implications, positioning it as an indispensable tool for researchers engaging in this area of study. Ultimately, ESMFold2 not only advances structural biology but also opens new avenues for the development of protein-based applications.
Integrations Supported
Amazon Web Services (AWS)
Biohub
Google Cloud Platform
Microsoft Azure
Oracle Cloud Infrastructure
Python
Integrations Supported
Amazon Web Services (AWS)
Biohub
Google Cloud Platform
Microsoft Azure
Oracle Cloud Infrastructure
Python
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
NVIDIA
Date Founded
1993
Company Location
United States
Company Website
www.nvidia.com/en-us/clara/genomics/
Company Facts
Organization Name
Biohub
Date Founded
2016
Company Location
United States
Company Website
biohub.ai/models/esmfold2