Business Software for Google Cloud Platform

Seqera is an innovative bioinformatics platform crafted by the team behind Nextflow, aimed at optimizing and improving the oversight of scientific data analysis workflows. It provides a robust array of tools, such as the Seqera Platform for managing scalable data pipelines, Seqera Pipelines that grant access to a handpicked selection of open-source workflows, Seqera Containers to facilitate container management, and Seqera Studios that create interactive environments for data analysis. The platform is designed to integrate smoothly with a variety of cloud and on-premises systems, promoting reproducibility and compliance within scientific research. Users can incorporate Seqera into their existing infrastructures, including major cloud services like AWS, GCP, and Azure, all without the need for mandatory migrations. This flexibility allows for total control over data residency while enabling global scalability, ensuring that security and performance are never compromised. Furthermore, Seqera empowers researchers to enhance their analytical capabilities while maintaining a seamless operational flow within their established systems.

Apsy is an innovative app builder powered by generative AI that enables users to effortlessly convert their ideas into fully operational applications without any coding skills. The process begins with a dialogue between the user and Apsy's AI, which helps clarify the app concept through a series of guided questions. Following this, Apsy produces multiple interface screens, allowing users to customize each aspect step-by-step to ensure the final product meets their vision. Once the app design is complete, users can easily publish it along with installation guidelines for both iOS and Android platforms, all achievable in under an hour. Apsy prioritizes the creative process over technical details, removing the complexities of tasks like drag-and-drop design and database management. Additionally, users have the option to download the source code for further customization and can deploy their applications to preferred cloud services such as AWS, Azure, or GCP. Catering to a wide range of app categories—including social networking, dating, ecommerce, content sharing, events and ticketing, and food delivery—Apsy utilizes AI to significantly enhance user engagement and interaction. This approach not only streamlines the development process but also empowers users to bring their app ideas to life with remarkable ease and efficiency.

Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats.

Onum serves as a real-time data intelligence platform designed to equip security and IT teams with the ability to extract actionable insights from in-stream data, thereby enhancing both decision-making speed and operational effectiveness. By analyzing data at its origin, Onum allows for decision-making in mere milliseconds rather than taking minutes, which streamlines intricate workflows and cuts down on expenses. It includes robust data reduction functionalities that smartly filter and condense data at the source, guaranteeing that only essential information is sent to analytics platforms, thus lowering storage needs and related costs. Additionally, Onum features data enrichment capabilities that convert raw data into useful intelligence by providing context and correlations in real time. The platform also facilitates seamless data pipeline management through effective data routing, ensuring that the appropriate data is dispatched to the correct destinations almost instantly, and it accommodates a variety of data sources and destinations. This comprehensive approach not only enhances operational agility but also empowers teams to make informed decisions swiftly.

DataBahn is an advanced platform that harnesses the power of AI to manage data pipelines and enhance security, streamlining the processes of data collection, integration, and optimization from a variety of sources to various destinations. Boasting a robust array of over 400 connectors, it simplifies the onboarding process and boosts the efficiency of data flow significantly. The platform automates data collection and ingestion, allowing for smooth integration, even when dealing with disparate security tools. Moreover, it optimizes costs related to SIEM and data storage through intelligent, rule-based filtering, which directs less critical data to more affordable storage options. It also ensures real-time visibility and insights by utilizing telemetry health alerts and implementing failover handling, which guarantees the integrity and completeness of data collection. Comprehensive data governance is further supported by AI-driven tagging, automated quarantining of sensitive information, and mechanisms in place to prevent vendor lock-in. In addition, DataBahn's adaptability allows organizations to stay agile and responsive to evolving data management needs.

Gemini 2.5 Flash is a high-performance AI model developed by Google to meet the needs of businesses requiring low-latency responses and cost-effective processing. It is optimized for real-time applications like customer support and virtual assistants, where responsiveness is crucial. Gemini 2.5 Flash features dynamic reasoning, which allows businesses to fine-tune the model's speed and accuracy to meet specific needs. By adjusting the "thinking budget" for each query, it helps companies achieve optimal performance without sacrificing quality.

FalkorDB is an exceptionally rapid, multi-tenant graph database that is finely tuned for GraphRAG, ensuring accurate and relevant AI/ML outcomes while minimizing hallucinations and boosting efficiency. By utilizing sparse matrix representations alongside linear algebra, it adeptly processes intricate, interconnected datasets in real-time, leading to a reduction in hallucinations and an increase in the precision of responses generated by large language models. The database is compatible with the OpenCypher query language, enhanced by proprietary features that facilitate expressive and efficient graph data querying. Additionally, it incorporates built-in vector indexing and full-text search functions, which allow for intricate search operations and similarity assessments within a unified database framework. FalkorDB's architecture is designed to support multiple graphs, permitting the existence of several isolated graphs within a single instance, which enhances both security and performance for different tenants. Furthermore, it guarantees high availability through live replication, ensuring that data remains perpetually accessible, even in high-demand scenarios. This combination of features positions FalkorDB as a robust solution for organizations seeking to manage complex graph data effectively.

Fexa is an advanced computerized maintenance management system tailored for businesses operating across multiple locations, aimed at simplifying intricate operations and fostering smooth collaboration among staff, service providers, and management teams. The platform features automated work order management, customizable workflows, and provides real-time data analytics, along with mobile access for field technicians and tools for managing service providers and budget planning. With its ability to integrate seamlessly with various systems, including ERP and accounting software, Fexa's facility management software enhances operational efficiency, adapts to changing needs, and improves performance at all locations. It equips facilities management teams with a user-friendly tool that not only integrates with existing processes but is also designed to automate complex workflows effortlessly. Furthermore, Fexa empowers organizations to tailor their workflows to address specific business challenges, effectively anticipating and mitigating issues that they may not even realize exist. This proactive approach allows teams to operate with heightened efficiency and effectiveness, ultimately leading to improved overall productivity.

Fellou is the pioneering agentic browser designed to streamline and automate intricate tasks. Experience effortless research, automated workflows across various platforms, and smart task execution online. With its Deep Action capability, Fellou simplifies complicated multi-step processes such as filling out forms, generating reports, and managing schedules into straightforward commands. Its advanced intelligence not only predicts user requirements but also suggests actions and curates a customized knowledge repository. Operating within a secured sandbox, Fellou allows agents to carry out tasks in the background, ensuring a smooth user experience without interruptions. Additionally, users can design, share, and apply specialized agents customized for particular tasks or fields. Fellou also features cross-platform deep search capabilities, facilitating simultaneous searches on both public websites and secure platforms like Quora, X, and LinkedIn, while providing the ability to create shareable visual reports. This innovative tool revolutionizes the way individuals interact with the web, significantly enhancing productivity and efficiency.

AlsoAsked is an innovative keyword research tool designed to uncover related "People Also Ask" inquiries, aiding users in understanding search intent and crafting focused content. It presents these inquiries in a visually appealing tree format, simplifying the comprehension of how various topics and questions interrelate. By leveraging AlsoAsked, users can formulate content that directly responds to genuine user inquiries, which could enhance their website's search visibility and boost organic traffic. This tool proves invaluable for content creators and SEO experts aiming to devise thorough content strategies and establish themselves as authorities within their respective fields. With support for multiple languages, it caters to a wide range of industries, including ecommerce, service sectors, and content development. Additionally, AlsoAsked provides functionalities like data exports and API access, enabling users to seamlessly incorporate its insights into more extensive SEO and content marketing frameworks. Ultimately, the tool empowers users to make informed decisions that drive better engagement and results for their online presence.

WeatherNext represents a suite of AI-driven models developed by Google DeepMind and Google Research, designed to deliver cutting-edge weather predictions. These advanced models surpass conventional physics-based approaches in both speed and efficiency, leading to enhanced reliability in forecasts. By improving the accuracy of weather predictions, these innovations could significantly aid in disaster preparedness, ultimately saving lives during severe weather scenarios and bolstering the dependability of renewable energy sources and supply chains. WeatherNext Graph stands out by providing more precise and efficient deterministic forecasts than existing systems, producing a single forecast for each specified time and location with a 6-hour temporal resolution and a 10-day lead time. In addition, WeatherNext Gen excels at generating ensemble forecasts that outshine the current predominant models, thereby equipping decision-makers with a clearer understanding of weather uncertainties and the associated risks of extreme weather conditions. This leap in forecasting capability promises to transform how we respond to and manage the impacts of climate variability.

AudioCodes presents the Mediant Cloud Edition (CE), a cloud-native Session Border Controller (SBC) that is engineered to deliver scalable, secure, and cost-efficient voice and video communication services within virtualized settings. Its automatic elasticity feature enables dynamic resource scaling according to real-time traffic needs, guaranteeing peak performance without the necessity for manual adjustments. Sharing the same foundational code as AudioCodes' physical SBCs, the Mediant CE offers extensive SIP interoperability, sophisticated media processing capabilities like transcoding, and strong security measures. The architecture, based on microservices, along with a scalable media cluster, allows for rapid and economical deployment of new communication services. Furthermore, installation is simplified via native tools such as AWS CloudFormation, which allows for seamless integration with existing automation and DevOps processes, enhancing operational efficiency and responsiveness to market changes. This makes the Mediant CE an ideal solution for organizations looking to modernize their communication infrastructure.

The Ribbon SBC Software Edition (SBC SWe) is a versatile, cloud-native Session Border Controller that enhances and secures real-time communications in a variety of deployment scenarios. It provides the same comprehensive functionality found in Ribbon's hardware-based SBC 5400 and SBC 7000 models, featuring capabilities such as extensive audio codec transcoding, signaling interworking, call admission control, and robust security protocols, including encryption and defenses against Denial of Service attacks. The SBC SWe can be implemented as a Virtual Machine (VM) on standard industry servers in data centers, as a Virtual Network Function (VNF) within private clouds utilizing OpenStack, or on public cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). This adaptable deployment model enables organizations to efficiently scale their communication infrastructure without compromising on performance or security. Additionally, the SBC SWe's cloud-native architecture ensures that enterprises can easily integrate it into their existing systems and workflows, fostering seamless communication across diverse environments.

Atolio is an innovative enterprise search engine powered by AI, designed to keep your data securely within your cloud environment. It allows users to pose inquiries about their knowledge base and receive intelligent, permission-based responses, all while ensuring that your intellectual property remains under your control. Built specifically for enterprise needs, Atolio offers secure, self-hosted deployment options on major platforms such as AWS, Azure, or GCP, thereby guaranteeing compliance and top-notch security measures. With its advanced AI capabilities, Atolio facilitates knowledge discovery, making it easier to locate information precisely when needed. The platform meticulously examines enterprise applications to highlight relevant documents and pinpoint internal experts, thereby encouraging collaboration and informed decision-making among teams. Moreover, Atolio integrates seamlessly with a variety of tools including Office 365, Google Workspace, Slack, Salesforce, and ServiceNow, effectively consolidating your search experience and empowering teams to operate more efficiently. By utilizing LLMs that do not train on your data, Atolio ensures that your intellectual property remains safeguarded, giving you peace of mind regarding data privacy and control. Ultimately, Atolio transforms the way enterprises access and utilize their knowledge, making it an indispensable tool for modern organizations.

Jina Reranker v2 stands out as an advanced reranking solution tailored for Agentic Retrieval-Augmented Generation (RAG) frameworks. By leveraging a deeper semantic comprehension, it significantly improves the relevance of search results and the accuracy of RAG systems through efficient result reordering. This innovative tool accommodates more than 100 languages, making it a versatile option for multilingual retrieval tasks irrespective of the language used in the queries. It is particularly fine-tuned for function-calling and code search scenarios, proving to be exceptionally beneficial for applications that demand accurate retrieval of function signatures and code snippets. Furthermore, Jina Reranker v2 demonstrates exceptional performance in ranking structured data, including tables, by effectively discerning the underlying intent for querying structured databases such as MySQL or MongoDB. With a remarkable sixfold increase in speed compared to its predecessor, it ensures ultra-fast inference, capable of processing documents in mere milliseconds. Accessible through Jina's Reranker API, this model seamlessly integrates into existing applications, compatible with platforms like Langchain and LlamaIndex, thus offering developers a powerful tool for enhancing their retrieval capabilities. This adaptability ensures that users can optimize their workflows while benefiting from cutting-edge technology.

The NVIDIA Quadro Virtual Workstation provides cloud-based access to Quadro-level computational capabilities, enabling organizations to merge the efficiency of a top-tier workstation with the advantages of cloud technology. As the demand for more intensive computing tasks rises alongside the necessity for mobility and teamwork, companies can leverage cloud workstations in conjunction with conventional on-site setups to maintain a competitive edge. Included with the NVIDIA virtual machine image (VMI) is the latest GPU virtualization software, which comes pre-loaded with updated Quadro drivers and ISV certifications. This software operates on select NVIDIA GPUs utilizing Pascal or Turing architectures, allowing for accelerated rendering and simulation from virtually any location. Among the primary advantages offered are improved performance thanks to RTX technology, dependable ISV certification, enhanced IT flexibility through rapid deployment of GPU-powered virtual workstations, and the ability to scale in accordance with evolving business demands. Additionally, organizations can seamlessly integrate this technology into their existing workflows, further enhancing productivity and collaboration across teams.

Alison.ai is a cutting-edge platform that leverages artificial intelligence to enhance the effectiveness of video advertising by meticulously analyzing and breaking down critical creative components such as visuals, text, audio, characters, and emotional impact. By measuring these aspects against essential performance metrics, Alison.ai pinpoints the elements that drive campaign success. Furthermore, the platform provides a thorough competitive analysis feature, enabling users to evaluate and draw insights from the creative strategies employed by their competitors. Its intuitive dashboard includes tools for visual data representation, performance tracking, and advanced predictive analytics. In addition to these features, Alison.ai offers real-time analytics, content management, and collaborative tools, which streamline the creative process. The platform also integrates seamlessly with numerous advertising networks, delivering valuable insights that empower marketers to refine their strategies. Ultimately, Alison.ai not only enhances ad performance but also fosters smarter decision-making in marketing efforts.

NVIDIA DGX Cloud Serverless Inference provides a cutting-edge, serverless AI inference framework designed to expedite AI advancements through automatic scaling, efficient GPU resource management, multi-cloud adaptability, and effortless scalability. This solution enables users to reduce instances to zero during idle times, thereby optimizing resource use and lowering expenses. Importantly, there are no additional charges incurred for cold-boot startup durations, as the system is engineered to keep these times to a minimum. The service is driven by NVIDIA Cloud Functions (NVCF), which includes extensive observability capabilities, allowing users to integrate their choice of monitoring tools, such as Splunk, for detailed visibility into their AI operations. Furthermore, NVCF supports versatile deployment methods for NIM microservices, granting the ability to utilize custom containers, models, and Helm charts, thus catering to diverse deployment preferences and enhancing user flexibility. This combination of features positions NVIDIA DGX Cloud Serverless Inference as a powerful tool for organizations seeking to optimize their AI inference processes.

100X is an advanced platform powered by artificial intelligence, designed to effectively troubleshoot intricate software systems by autonomously examining tickets, alerts, logs, metrics, traces, code, and knowledge in order to identify and resolve issues. It follows a multi-stage approach that includes establishing a detailed knowledge graph by connecting to your environment, thoroughly investigating each alert or support ticket received, dynamically querying telemetry data, and correlating signals across various systems to isolate specific problems backed by evidence. Furthermore, it recommends reliable solutions complete with pertinent context and continuously learns from every resolution by recording commands, fixes, and failure patterns identified by your team. With seamless integration capabilities with tools such as Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be deployed within your cloud infrastructure, guaranteeing that all data is accessed, processed, and retained solely within your cloud environment. This fosters a secure and efficient troubleshooting process that adapts to evolving challenges in software management.

Cleric serves as an independent AI Site Reliability Engineer (SRE) that autonomously oversees, optimizes, and repairs software infrastructure without the need for human oversight. Acting as a collaborative AI partner, it seamlessly integrates with various existing tools, such as Kubernetes, Datadog, Prometheus, and Slack, to explore and diagnose production issues. By automatically managing alerts, Cleric enables engineers to dedicate more time to development rather than routine tasks. It efficiently evaluates systems simultaneously, providing insights in mere minutes, which would typically take hours to resolve manually. When faced with unfamiliar problems, Cleric formulates hypotheses and executes real-time queries with its integrated tools, only presenting conclusions once it is confident in its findings. With each investigation, Cleric enhances its capabilities by learning from actual outcomes and incidents. By the end of the first month, Cleric is equipped to manage approximately 20–30% of on-call responsibilities, empowering your team to prioritize problem-solving over monotonous alert triage. As a result, the overall efficiency and productivity of the engineering team can significantly improve.

Join a diverse range of top retailers, franchises, and wholesalers who are opting for our acclaimed solutions to enhance their online and in-store sales. Elevate customer satisfaction and optimize your operational workflows with our SaaS click & collect BOPIS tool. Gain access to exclusive, real-time insights into customer demand for products across your entire retail network. Discover what items customers are seeking online and subsequently purchasing in physical stores. Identify immediate sales loss opportunities at both the product and store levels. Strategically plan your store and seasonal product offerings throughout your network. Designed specifically for retailers, franchises, and wholesalers, our platform aims to improve customer interactions while maximizing your inventory. Process orders directly from your store network to ensure quicker deliveries and lower shipping expenses. Drive in-store traffic from eager shoppers and benefit from real-time reporting on customer demand. This comprehensive approach allows businesses to adapt to changing market conditions and customer preferences seamlessly.

CloudNuro.ai serves as a smart platform for managing both cloud and SaaS environments, providing organizations with enhanced visibility, governance, optimization, and automation capabilities throughout their digital ecosystems. With its unified interface, it effectively identifies all SaaS applications, including those that fall under Shadow IT, using various detection techniques such as DNS, SSO, browser agents, and APIs. The platform continuously catalogs applications in real time and highlights tools that are either unused, duplicated, or not authorized for use. It also provides valuable insights into expenditures, usage patterns, license entitlements, and application engagement metrics, empowering teams to manage costs efficiently and negotiate contract renewals based on solid data. Furthermore, automated workflows facilitate processes such as user onboarding and offboarding, approval workflows, compliance assessments, and policy enforcement, which not only lighten the IT department's burden but also enhance security measures. In addition, CloudNuro.ai boasts robust integrations with leading SaaS and cloud service providers, including M365, Salesforce, and various ITSM tools, which allows for seamless synchronization of catalog information, subscription management, and policy automation, ultimately streamlining operations across the organization. This comprehensive approach ensures that businesses can maintain control over their software assets while maximizing value and minimizing risks.

Iron Mountain InSight is a cutting-edge Intelligent Document Processing (IDP) platform that harnesses the power of AI to enhance the handling of both physical and digital documents within organizations. By employing sophisticated Optical Character Recognition (OCR) and machine learning technologies, it transforms unstructured data into structured and actionable insights. The platform boasts a range of features, including data capture annotation, text extraction, detection of signatures, parsing of forms and contracts, automated machine learning, extraction through template-based models, GenAI-enhanced document comprehension, document segmentation, data validation, and support for human-in-the-loop (HITL) processes. InSight also provides a low-code environment that empowers users to customize workflows, streamline document routing, and pinpoint process inefficiencies or missing documents. It integrates effortlessly with existing IT systems, including popular cloud services such as AWS and Google Cloud, ensuring compliance by implementing updated records retention policies through its integration capabilities. Furthermore, its user-friendly interface makes it accessible for organizations of all sizes, allowing them to optimize their document management strategies effectively.

TIBCO Streaming is an advanced analytics platform focused on real-time processing and analysis of fast-moving data streams, which empowers organizations to make swift, data-informed choices. With its low-code development environment found in StreamBase Studio, users can create intricate event processing applications with ease and minimal coding requirements. The platform boasts compatibility with over 150 connectors, such as APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, ensuring smooth integration with diverse data sources. Incorporating dynamic learning operators, TIBCO Streaming allows for the use of adaptive machine learning models that deliver contextual insights and enhance automation in decision-making. Additionally, it provides robust real-time business intelligence features that enable users to visualize current data alongside historical datasets for a thorough analysis. The platform is also designed for cloud readiness, offering deployment options across AWS, Azure, GCP, and on-premises setups, thereby ensuring flexibility for various organizational needs. Overall, TIBCO Streaming stands out as a powerful solution for businesses aiming to harness real-time data for strategic advantages.

Vast Edge offers a cloud-based Online Dispute Resolution (ODR) software that facilitates the efficient handling of a variety of conflicts, such as those arising in consumer settings, e-commerce, family issues, workplace disputes, and landlord-tenant disagreements. This innovative platform employs a hybrid model that merges traditional human mediation with cutting-edge AI automation, fostering both adaptability and affordability. Participants can connect through remote communication channels, including chat and video calls, with either human mediators or AI-driven systems. The software ensures that courts maintain oversight, enabling judicial monitoring and intervention in the dispute resolution process when necessary. Sensitive dispute information is securely shared, with access strictly limited to the relevant parties and authorized experts, thereby prioritizing confidentiality. Vast Edge's ODR software also features round-the-clock real-time customer support for mediation, negotiation, and evaluation services. Furthermore, it allows users to file claims at no charge and offers customized expert guidance tailored to meet their unique requirements, ensuring a comprehensive support system for all involved. In addition, the platform’s user-friendly interface makes it easy for individuals to navigate through the dispute resolution process effectively.