On-Premises Business Software

SmolVLM-Instruct is a streamlined, AI-driven multimodal model that integrates vision and language processing capabilities, enabling it to perform functions such as image captioning, visual question answering, and multimodal storytelling. This model can process both text and image inputs efficiently, making it particularly suitable for smaller or resource-limited environments. Utilizing SmolLM2 as its text decoder alongside SigLIP as its image encoder, it enhances performance for tasks that necessitate the fusion of textual and visual data. Additionally, SmolVLM-Instruct can be fine-tuned for various specific applications, providing businesses and developers with a flexible tool that supports the creation of intelligent, interactive systems that leverage multimodal inputs. As a result, it opens up new possibilities for innovative application development across different industries.

QwQ-Max-Preview is a cutting-edge AI model based on the Qwen2.5-Max framework, specifically engineered to excel in areas such as complex reasoning, mathematical problem-solving, programming, and agent tasks. This preview showcases its enhanced capabilities across a variety of general-domain applications while demonstrating proficiency in managing intricate workflows. Anticipated to be officially released as open-source software under the Apache 2.0 license, QwQ-Max-Preview promises significant improvements and upgrades in its final iteration. Additionally, it contributes to the development of a more inclusive AI environment, as evidenced by the forthcoming introduction of the Qwen Chat application and streamlined model versions like QwQ-32B, which cater to developers interested in local deployment solutions. This initiative not only broadens accessibility but also encourages innovation within the AI community.

Potpie is a collaborative open source platform designed for developers to craft AI agents specifically suited for their codebases, streamlining processes such as debugging, testing, system architecture, onboarding, code evaluations, and documentation. By converting your codebase into an extensive knowledge graph, Potpie equips its agents with a profound contextual understanding that enables them to execute engineering tasks with remarkable accuracy. The platform includes more than five pre-built agents, with some focusing on stack trace analysis and the generation of integration tests. Additionally, developers have the option to create personalized agents through straightforward prompts, ensuring easy incorporation into their established workflows. Potpie also features an intuitive chat interface and offers a VS Code extension for direct integration into development setups. With capabilities like multi-LLM support, developers can incorporate various AI models to enhance performance and adaptability, making Potpie an invaluable tool for modern software engineering. This versatility allows teams to optimize their overall productivity while benefiting from advanced automation techniques.

Elevate your team's efficiency with valuable insights that enhance productivity and foster high-quality development. Teambit serves as a SEI platform that offers comprehensive visibility into team performance, enabling every member, from executives to developers, to make informed, data-driven choices. It allows for seamless integration with your current tools, consolidating all necessary information in a single location. By tracking crucial metrics such as DORA, you can identify bottlenecks and pinpoint areas that require enhancement. This platform ensures that leaders, developers, and product managers share a unified view, facilitating alignment towards common objectives. Teambit is tailored to your team's distinct workflows, promoting productivity while preserving your existing processes. Additionally, it aggregates data from all your development tools to deliver actionable insights within a centralized hub. Designed for ease of implementation, Teambit also incorporates historical data, providing your team with a comprehensive overview right from the start. With its user-friendly interface and powerful analytics, Teambit not only enhances collaboration but also empowers your team to achieve their goals more effectively.

Arch is a sophisticated gateway designed to safeguard, monitor, and tailor AI agents through effortless API integration. Leveraging the power of Envoy Proxy, Arch ensures secure data management, intelligent request routing, comprehensive observability, and seamless connections to backend systems, all while remaining independent of business logic. Its out-of-process architecture supports a broad range of programming languages, facilitating rapid deployment and smooth upgrades. Crafted with specialized sub-billion parameter Large Language Models, Arch shines in crucial prompt-related functions, including function invocation for API customization, prompt safeguards to thwart harmful or manipulative prompts, and intent-drift detection to improve retrieval precision and response speed. By enhancing Envoy's cluster subsystem, Arch effectively manages upstream connections to Large Language Models, thus enabling robust AI application development. Additionally, it acts as an edge gateway for AI solutions, providing features like TLS termination, rate limiting, and prompt-driven routing. Overall, Arch represents an innovative approach to AI gateway technology, ensuring both security and adaptability in a rapidly evolving digital landscape.

IdentityServer serves as a versatile and standards-adhering framework for OpenID Connect and OAuth 2.0 tailored for ASP.NET Core, ensuring complete control over user interface, user experience, business logic, and data management. It has received official certification from the OpenID Foundation and encompasses a wide array of protocols and standards developed by the OpenID Foundation and IETF working groups. Additionally, it presents limitless hosting possibilities, facilitating deployment on-premises, in cloud environments, behind VPNs, and on various platforms such as Windows, Linux, Docker, or Kubernetes. Duende Software enhances this offering with supplementary products, including IdentityServer for Redistribution and a Backend for Frontend (BFF) security framework. To assist developers in effectively utilizing these solutions, extensive documentation and training resources are readily accessible. Our commitment to being fully compliant with standards is paramount, and we strive to provide you with comprehensive access to all facets of the OAuth and OpenID Connect protocol family. Furthermore, this approach empowers organizations to implement secure authentication and authorization processes tailored to their specific needs.

Security Onion serves as a robust open-source platform dedicated to intrusion detection, network security monitoring, and log management. Equipped with a suite of effective tools, it empowers security experts to identify and address potential threats within an organization's network. By integrating various technologies such as Suricata, Zeek, and the Elastic Stack, Security Onion enables the collection, analysis, and real-time visualization of security data. Its user-friendly interface simplifies the management and examination of network traffic, security alerts, and system logs. Additionally, it features integrated tools for threat hunting, alert triage, and forensic analysis, which aid users in swiftly recognizing possible security incidents. Tailored for scalability, Security Onion is effective for a diverse range of environments, accommodating both small businesses and large enterprises alike. With its ongoing updates and community support, users can continuously enhance their security posture and adapt to evolving threats.

FlowSecure stands out as a robust platform for data security and compliance, aimed at assisting organizations in safeguarding their sensitive information, adhering to regulatory standards, and efficiently managing data governance. Addressing contemporary security threats, FlowSecure empowers businesses to oversee, regulate, and protect data flows within both cloud and on-premises settings. The platform provides sophisticated tools for data classification, continuous monitoring, and access management, allowing organizations to gain complete insight into the locations and usage of their data. By utilizing FlowSecure, companies can identify unauthorized access, avert data breaches, and maintain compliance with various regulations such as GDPR, CCPA, and HIPAA. Featuring user-friendly dashboards and automated notifications, security teams can swiftly pinpoint vulnerabilities and act promptly against potential threats. Furthermore, its adaptable policy framework enables businesses to implement governance strategies that closely align with their unique needs, ensuring a tailored approach to data protection. This comprehensive solution not only enhances security but also promotes a culture of compliance within organizations.

OWL (Optimized Workforce Learning) represents a cutting-edge system tailored for collaborative efforts among multiple agents in the automation of real-world tasks. Developed on the CAMEL-AI platform, OWL seeks to transform the way AI agents interact, leading to enhanced efficiency, natural communication, and greater resilience in task automation across diverse sectors. It stands out for its exceptional performance, achieving the top position among open-source frameworks on the GAIA benchmark with an impressive score of 58.18. Key features of OWL include real-time sharing of information, flexible task management, and seamless integration with a variety of tools and platforms, which collectively empower collaborative AI agents to tackle intricate tasks effectively. This innovative framework not only optimizes workflows but also paves the way for future advancements in AI-driven automation solutions.

Languine is an innovative localization platform powered by AI that aims to automate and enhance the translation process for applications, facilitating smooth integration into development workflows. This platform provides intelligent, context-sensitive translations in more than 100 languages, ensuring that the brand's voice and tone remain consistent throughout. With a command-line interface and support for continuous integration/continuous deployment, developers can easily manage translations manually or set up automation in their existing pipelines. Languine accommodates a variety of file formats, such as JSON, YAML, and Markdown, making it suitable for a wide range of project needs. Furthermore, it includes fine-tuning capabilities that allow for the customization of translations to better reflect unique brand qualities. In addition to its core features, Languine provides a GitHub Action that automates the localization process directly within GitHub, ensuring that translations remain up-to-date with every commit and deployment. This comprehensive tool not only saves time but also enhances collaboration among team members working on multilingual projects.

Mistral AI has introduced the Mistral Large 2, a sophisticated AI model crafted to excel in various domains such as code generation, multilingual understanding, and intricate reasoning tasks. With an impressive 128k context window, this model accommodates a wide array of languages, including English, French, Spanish, and Arabic, while also supporting an extensive list of over 80 programming languages. Designed for high-throughput single-node inference, Mistral Large 2 is perfectly suited for applications requiring large context handling. Its superior performance on benchmarks like MMLU, coupled with improved capabilities in code generation and reasoning, guarantees both accuracy and efficiency in results. Additionally, the model features enhanced function calling and retrieval mechanisms, which are particularly beneficial for complex business applications. This makes Mistral Large 2 not only versatile but also a powerful tool for developers and businesses looking to leverage advanced AI capabilities.

Oracle Cloud Infrastructure (OCI) Functions provides a serverless computing platform that allows developers to design, execute, and scale applications without the burden of managing the underlying infrastructure. This service is based on the open-source Fn Project and accommodates various programming languages such as Python, Go, Java, Node.js, and C#, which facilitates versatile function development. Developers can easily deploy their code, as OCI takes care of the automatic provisioning and scaling of resources needed for execution. Additionally, it features provisioned concurrency, which guarantees that functions are ready to handle requests with minimal delay. A rich catalog of prebuilt functions is offered, allowing users to quickly implement standard tasks without starting from scratch. Functions are bundled as Docker images, and experienced developers have the option to create custom runtime environments using Dockerfiles. Furthermore, integration with Oracle Identity and Access Management allows for precise control over access permissions, while OCI Vault ensures that sensitive configuration data is stored securely. Overall, this combination of features makes OCI Functions a powerful tool for modern application development.

Qoli.AI serves as a sophisticated monitoring tool tailored for both individual and corporate applications, prioritizing digital security, productivity, and overall safety. For personal users, it facilitates the regulation of screen time, oversees mobile activity, tracks app usage, provides access to contacts, and allows users to review their call and text histories, ultimately fostering a more balanced digital lifestyle. In the corporate sphere, Qoli.AI equips businesses with essential fleet management functionalities, including GPS tracking, real-time vehicle surveillance, driver performance analysis, route optimization, and geo-fencing capabilities, significantly enhancing both security and operational efficiency. Additionally, it features keystroke monitoring, activity tracking, and automated screenshot capabilities, which not only help maintain compliance but also support increased productivity among employees. This comprehensive approach to monitoring makes Qoli.AI a versatile choice for enhancing both personal and organizational digital experiences.

Lightstreamer acts as an event broker that is finely tuned for the internet, providing a smooth and instantaneous flow of data across online platforms. In contrast to conventional brokers, it adeptly manages the challenges posed by proxies, firewalls, disconnections, network congestion, and the inherent unpredictability of web connectivity. Its advanced streaming capabilities ensure that real-time data delivery is maintained, always finding efficient and reliable pathways for your information. Lightstreamer's technology is not only well-established but also at the cutting edge, continually adapting to remain a leader in the field of innovation. With a solid history and extensive practical experience, it guarantees dependable and effective data transmission. Users can count on Lightstreamer to provide unmatched reliability in any situation, making it an invaluable tool for real-time communication needs. In an ever-evolving digital landscape, Lightstreamer stands out as a trusted partner for delivering data seamlessly.

MindSpore, an open-source deep learning framework created by Huawei, is engineered to simplify the development process, ensure efficient execution, and enable deployment across various environments such as cloud, edge, and device. The framework accommodates different programming styles, including object-oriented and functional programming, which empowers users to construct AI networks using standard Python syntax. MindSpore delivers a cohesive programming experience by integrating both dynamic and static graphs, thereby improving compatibility and overall performance. It is finely tuned for a range of hardware platforms, including CPUs, GPUs, and NPUs, and exhibits exceptional compatibility with Huawei's Ascend AI processors. The architecture of MindSpore is organized into four distinct layers: the model layer, MindExpression (ME) dedicated to AI model development, MindCompiler for optimization tasks, and the runtime layer that facilitates collaboration between devices, edge, and cloud environments. Furthermore, MindSpore is bolstered by a diverse ecosystem of specialized toolkits and extension packages, including offerings like MindSpore NLP, making it a versatile choice for developers looking to leverage its capabilities in various AI applications. Its comprehensive features and robust architecture make MindSpore a compelling option for those engaged in cutting-edge machine learning projects.

ML.NET is a versatile, open-source machine learning framework that is free to use and compatible across platforms, enabling .NET developers to create tailored machine learning models using C# or F# while remaining within the .NET environment. This framework encompasses a wide range of machine learning tasks such as classification, regression, clustering, anomaly detection, and recommendation systems. Additionally, ML.NET seamlessly integrates with other renowned machine learning frameworks like TensorFlow and ONNX, which broadens the possibilities for tasks like image classification and object detection. It comes equipped with user-friendly tools such as Model Builder and the ML.NET CLI, leveraging Automated Machine Learning (AutoML) to streamline the process of developing, training, and deploying effective models. These innovative tools automatically analyze various algorithms and parameters to identify the most efficient model for specific use cases. Moreover, ML.NET empowers developers to harness the power of machine learning without requiring extensive expertise in the field.

The Aipix Platform is tailored for telecommunications and service providers, enabling them to deliver mass services under their own brand identity. By utilizing Aipix, telecom companies can quickly penetrate the market, significantly shortening their Time to Market (TTM), while simultaneously expanding their service offerings and increasing their subscriber count. Harness the multi-service capabilities of the Aipix VAS Platform to introduce cloud-based video surveillance services for your customers: › Video Surveillance as a Telecom Service: Offer your subscribers a cloud video surveillance service that prioritizes both security and convenience. › Video Analytics as a Telecom Service: Enhance the security measures for your subscribers and transform their video surveillance systems into tools for optimizing business efficiency through sophisticated video analytics features. › Smart Intercom as a Telecom Service: Facilitate secure and convenient access control with an integrated intercom solution. Utilize Aipix to launch innovative Value-Added Services and elevate your telecom business to new heights. By doing so, you can not only meet the evolving needs of your customers but also differentiate your offerings in a competitive market.

The Model Context Protocol (MCP) is a flexible, open-source framework that streamlines the interaction between AI models and external data sources. It enables developers to create complex workflows by connecting LLMs with databases, files, and web services, offering a standardized approach for AI applications. MCP’s client-server architecture ensures seamless integration, while its growing list of integrations makes it easy to connect with different LLM providers. The protocol is ideal for those looking to build scalable AI agents with strong data security practices.

QVQ-Max is an advanced visual reasoning platform that enables AI to process images and videos for solving diverse problems, from academic tasks to creative projects. With its ability to perform detailed observation, such as identifying objects and reading charts, along with deep reasoning to analyze content, QVQ-Max can assist in solving complex mathematical equations or predicting actions in video clips. The model's flexibility extends to creative endeavors, helping users refine sketches or develop scripts for videos. Although still in early development, QVQ-Max has already showcased its potential in a wide range of applications, including data analysis, education, and lifestyle assistance.

Mastra is an open-source TypeScript framework that allows developers to build AI agents capable of performing tasks, managing knowledge, and retaining memory across interactions. With a clean and intuitive API, Mastra simplifies the creation of complex agent workflows, enabling real-time task execution and seamless integration with machine learning models like GPT-4. The framework supports task orchestration, agent memory, and knowledge management, making it ideal for applications in automation, personalized services, and complex systems.

Llama 4 Behemoth, with 288 billion active parameters, is Meta's flagship AI model, setting new standards for multimodal performance. Outpacing its predecessors like GPT-4.5 and Claude Sonnet 3.7, it leads the field in STEM benchmarks, offering cutting-edge results in tasks such as problem-solving and reasoning. Designed as the teacher model for the Llama 4 series, Behemoth drives significant improvements in model quality and efficiency through distillation. Although still in development, Llama 4 Behemoth is shaping the future of AI with its unparalleled intelligence, particularly in math, image, and multilingual tasks.

Llama 4 Maverick is a cutting-edge multimodal AI model with 17 billion active parameters and 128 experts, setting a new standard for efficiency and performance. It excels in diverse domains, outperforming other models such as GPT-4o and Gemini 2.0 Flash in coding, reasoning, and image-related tasks. Llama 4 Maverick integrates both text and image processing seamlessly, offering enhanced capabilities for complex tasks such as visual question answering, content generation, and problem-solving. The model’s performance-to-cost ratio makes it an ideal choice for businesses looking to integrate powerful AI into their operations without the hefty resource demands.

Llama 4 Scout is an advanced multimodal AI model with 17 billion active parameters, offering industry-leading performance with a 10 million token context length. This enables it to handle complex tasks like multi-document summarization and detailed code reasoning with impressive accuracy. Scout surpasses previous Llama models in both text and image understanding, making it an excellent choice for applications that require a combination of language processing and image analysis. Its powerful capabilities in long-context tasks and image-grounding applications set it apart from other models in its class, providing superior results for a wide range of industries.

Liona empowers organizations to securely distribute AI provider keys, including those from OpenAI, Anthropic, Grok, and Gemini, to users and employees while ensuring robust security measures are in place. It facilitates direct user access to AI providers while allowing organizations to retain oversight over security protocols, billing processes, and usage caps. Liona presents two deployment models: one tailored for developers, offering robust API integrations that eliminate backend complexities and simplify the development of AI-enhanced features; and another aimed at employees and teams, which provides enterprise-level AI governance with unified control and transparency. The platform features a comprehensive dashboard for monitoring real-time usage, implementing detailed access controls, setting spending limits, and managing users effectively. Moreover, Liona seamlessly integrates with a variety of tools and frameworks, enhancing the integration of AI workflows. This versatility makes Liona an essential asset for organizations looking to leverage AI technologies securely and efficiently.

OpsVerse's ObserveNow is an all-in-one observability platform that seamlessly combines logs, metrics, distributed traces, and application performance monitoring into one cohesive service. Leveraging open-source technologies, ObserveNow facilitates quick implementation, enabling users to monitor their infrastructure in mere minutes without requiring extensive engineering resources. It is adaptable for deployment in various settings, whether on public clouds, private clouds, or on-premises environments, and it prioritizes data compliance by allowing users to keep their data securely within their own network. The platform features user-friendly pre-configured dashboards, alerts, advanced anomaly detection, and automated workflows for remediation, all designed to minimize the mean time to detect and resolve issues effectively. Furthermore, ObserveNow offers a private SaaS solution, allowing organizations to enjoy the advantages of SaaS while maintaining control over their data within their own cloud or network. This innovative platform not only enhances operational efficiency but also operates at a significantly lower cost compared to conventional observability solutions available in the market today.