Alternatives to Falcon Chat

Compare Falcon Chat alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Falcon Chat in 2026. Compare features, ratings, user reviews, pricing, and more from Falcon Chat competitors and alternatives in order to make an informed decision for your business.

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    CrowdStrike Falcon
    CrowdStrike Falcon is a cloud-native cybersecurity platform that provides advanced protection against a wide range of cyber threats, including malware, ransomware, and sophisticated attacks. It leverages artificial intelligence (AI) and machine learning to detect and respond to threats in real time, offering endpoint protection, threat intelligence, and incident response capabilities. The platform uses a lightweight agent that continuously monitors endpoints for signs of malicious activity, providing visibility and protection without significant impact on system performance. Falcon’s cloud-based architecture ensures fast updates, scalability, and rapid threat response across large, distributed environments. Its comprehensive security features help organizations prevent, detect, and mitigate potential cyber risks, making it a powerful tool for modern enterprise cybersecurity.
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    Falcon Mamba 7B

    Falcon Mamba 7B

    Technology Innovation Institute (TII)

    Falcon Mamba 7B is the first open-source State Space Language Model (SSLM), introducing a groundbreaking architecture for Falcon models. Recognized as the top-performing open-source SSLM worldwide by Hugging Face, it sets a new benchmark in AI efficiency. Unlike traditional transformers, SSLMs operate with minimal memory requirements and can generate extended text sequences without additional overhead. Falcon Mamba 7B surpasses leading transformer-based models, including Meta’s Llama 3.1 8B and Mistral’s 7B, showcasing superior performance. This innovation underscores Abu Dhabi’s commitment to advancing AI research and development on a global scale.
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    Falcon 3

    Falcon 3

    Technology Innovation Institute (TII)

    Falcon 3 is an open-source large language model (LLM) developed by the Technology Innovation Institute (TII) to make advanced AI accessible to a broader audience. Designed for efficiency, it operates seamlessly on lightweight devices, including laptops, without compromising performance. The Falcon 3 ecosystem comprises four scalable models, each tailored to diverse applications, and supports multiple languages while optimizing resource usage. This latest iteration in TII's LLM series achieves state-of-the-art results in reasoning, language understanding, instruction following, code, and mathematics tasks. By combining high performance with resource efficiency, Falcon 3 aims to democratize access to AI, empowering users across various sectors to leverage advanced technology without the need for extensive computational resources.
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    Falcon 2

    Falcon 2

    Technology Innovation Institute (TII)

    Falcon 2 11B is an open-source, multilingual, and multimodal AI model, uniquely equipped with vision-to-language capabilities. It surpasses Meta’s Llama 3 8B and delivers performance on par with Google’s Gemma 7B, as independently confirmed by the Hugging Face Leaderboard. Looking ahead, the next phase of development will integrate a 'Mixture of Experts' approach to further enhance Falcon 2’s capabilities, pushing the boundaries of AI innovation.
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    HunyuanOCR

    HunyuanOCR

    Tencent

    Tencent Hunyuan is a large-scale, multimodal AI model family developed by Tencent that spans text, image, video, and 3D modalities, designed for general-purpose AI tasks like content generation, visual reasoning, and business automation. Its model lineup includes variants optimized for natural language understanding, multimodal vision-language comprehension (e.g., image & video understanding), text-to-image creation, video generation, and 3D content generation. Hunyuan models leverage a mixture-of-experts architecture and other innovations (like hybrid “mamba-transformer” designs) to deliver strong performance on reasoning, long-context understanding, cross-modal tasks, and efficient inference. For example, the vision-language model Hunyuan-Vision-1.5 supports “thinking-on-image”, enabling deep multimodal understanding and reasoning on images, video frames, diagrams, or spatial data.
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    Falcon-40B

    Falcon-40B

    Technology Innovation Institute (TII)

    Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-40B? It is the best open-source model currently available. Falcon-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions. ⚠️ This is a raw, pretrained model, which should be further finetuned for most usecases. If you are looking for a version better suited to taking generic instructions in a chat format, we recommend taking a look at Falcon-40B-Instruct.
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    Hunyuan-Vision-1.5
    HunyuanVision is a cutting-edge vision-language model developed by Tencent’s Hunyuan team. It uses a mamba-transformer hybrid architecture to deliver strong performance and efficient inference in multimodal reasoning tasks. The version Hunyuan-Vision-1.5 is designed for “thinking on images,” meaning it not only understands vision+language content, but can perform deeper reasoning that involves manipulating or reflecting on image inputs, such as cropping, zooming, pointing, box drawing, or drawing on the image to acquire additional knowledge. It supports a variety of vision tasks (image + video recognition, OCR, diagram understanding), visual reasoning, and even 3D spatial comprehension, all in a unified multilingual framework. The model is built to work seamlessly across languages and tasks and is intended to be open sourced (including checkpoints, technical report, inference support) to encourage the community to experiment and adopt.
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    Codestral Mamba
    As a tribute to Cleopatra, whose glorious destiny ended in tragic snake circumstances, we are proud to release Codestral Mamba, a Mamba2 language model specialized in code generation, available under an Apache 2.0 license. Codestral Mamba is another step in our effort to study and provide new architectures. It is available for free use, modification, and distribution, and we hope it will open new perspectives in architecture research. Mamba models offer the advantage of linear time inference and the theoretical ability to model sequences of infinite length. It allows users to engage with the model extensively with quick responses, irrespective of the input length. This efficiency is especially relevant for code productivity use cases, this is why we trained this model with advanced code and reasoning capabilities, enabling it to perform on par with SOTA transformer-based models.
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    Falcon

    Falcon

    Falcon

    Falcon is a blazing fast, minimalist Python web API framework for building robust app backends and microservices. The framework works great with both asyncio (ASGI) and gevent/meinheld (WSGI). The Falcon web framework encourages the REST architectural style. Resource classes implement HTTP method handlers that resolve requests and perform state transitions. Falcon complements more general Python web frameworks by providing extra reliability, flexibility, and performance wherever you need it. A number of Falcon add-ons, templates, and complementary packages are available for use in your projects. We've listed several of these on the Falcon wiki as a starting point, but you may also wish to search PyPI for additional resources.
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    Solar Pro 2

    Solar Pro 2

    Upstage AI

    Solar Pro 2 is Upstage’s latest frontier‑scale large language model, designed to power complex tasks and agent‑like workflows across domains such as finance, healthcare, and legal. Packaged in a compact 31 billion‑parameter architecture, it delivers top‑tier multilingual performance, especially in Korean, where it outperforms much larger models on benchmarks like Ko‑MMLU, Hae‑Rae, and Ko‑IFEval, while also excelling in English and Japanese. Beyond superior language understanding and generation, Solar Pro 2 offers next‑level intelligence through an advanced Reasoning Mode that significantly boosts multi‑step task accuracy on challenges ranging from general reasoning (MMLU, MMLU‑Pro, HumanEval) to complex mathematics (Math500, AIME) and software engineering (SWE‑Bench Agentless), achieving problem‑solving efficiency comparable to or exceeding that of models twice its size. Enhanced tool‑use capabilities enable the model to interact seamlessly with external APIs and data sources.
    Starting Price: $0.1 per 1M tokens
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    Magistral

    Magistral

    Mistral AI

    Magistral is Mistral AI’s first reasoning‑focused language model family, released in two sizes: Magistral Small, a 24 B‑parameter open‑weight model under Apache 2.0 (downloadable on Hugging Face), and Magistral Medium, a more capable enterprise version available via Mistral’s API, Le Chat platform, and major cloud marketplaces. Built for domain‑specific, transparent, multilingual reasoning across tasks like math, physics, structured calculations, programmatic logic, decision trees, and rule‑based systems, Magistral produces chain‑of‑thought outputs in the user’s language that you can follow and verify. This launch marks a shift toward compact yet powerful transparent AI reasoning. Magistral Medium is currently available in preview on Le Chat, the API, SageMaker, WatsonX, Azure AI, and Google Cloud Marketplace. Magistral is ideal for general-purpose use requiring longer thought processing and better accuracy than with non-reasoning LLMs.
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    Falcon Forensics

    Falcon Forensics

    CrowdStrike

    Falcon Forensics offers comprehensive data collection while performing triage analysis during an investigation. Forensic security often entails lengthy searches with numerous tools. Simplify your collection and analysis to one solution to speed triage. Incident responders can respond faster to investigations, conduct compromise assessments along with threat hunting and monitoring with Falcon Forensics. Pre-built dashboards, easy search, and view data capabilities empower analysts to search vast amounts of data, including historical artifacts, quickly. Falcon Forensics automates data collection and provides detailed information around an incident. Responders can tap into full threat context without lengthy queries or full disk image collections. Provides incident responders a single solution to analyze large quantities of data both historically and in real-time to uncover vital information to triage an incident.
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    Falcon Forms

    Falcon Forms

    Falcon Forms

    Digitize your day-to-day paperwork with Falcon Forms. Using Falcon Forms build and configure your own forms seamlessly in an instant tailored, and perfectly adapted to what your activity or business requires. Falcon Forms is perfectly adapted to what paper-based workflows require. This is an offline app where you don’t need any network connection to build templates or fill out forms. Falcon Forms is designed to cater reporting & documentation to almost all lines of work irrespective of domains. Falcon Forms also allows real-time collaboration by allowing sharing of the PDF files and Form Templates (JSON format) via email and third-party cloud storage providers like iCloud, Box, Dropbox, OneDrive, Adobe Creative Cloud, Google Drive, pCloud, Terabox and much more using the Files App (iOS).
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    Tencent Yuanbao
    Tencent Yuanbao is an AI-powered assistant that has quickly become popular in China, leveraging advanced large language models, including Tencent's proprietary Hunyuan model, and integrating with DeepSeek. The application excels in areas like Chinese language processing, logical reasoning, and efficient task execution. Yuanbao's popularity has surged in recent months, even surpassing competitors such as DeepSeek to top the Apple App Store download charts in China. A key driver of its growth is its deep integration into the Tencent ecosystem, particularly within WeChat, further enhancing its accessibility and functionality. This rapid rise highlights Tencent's growing ambition in the competitive AI assistant market.
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    Falcon X Recon

    Falcon X Recon

    CrowdStrike

    Falcon X Recon exposes digital risk by monitoring the hidden recesses of the internet where criminal actors congregate and underground economies thrive. Falcon X Recon provides real-time visibility to potential threats, reducing investigation time and improving efficiency and response. Take immediate action against digital risk on Day One — Falcon X Recon is built on the cloud-native CrowdStrike Falcon® Platform so there’s nothing to install, administer or deploy. Identify business, reputational and third-party risks emanating from leaked credentials, PII and financial data. View current and historical posts and chatter to track adversary activities and behavior that could pose a cyber or physical risk to your organization and personnel. Customize dashboards to enable users to see, at a glance, current notifications and quickly drill into critical alerts and activity for further research.
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    FalconTune

    FalconTune

    IMB Controls

    FalconTune© is a PID loop-tuning software for distributed control systems (DCS) and programmable logic controllers (PLC). Detailed description of the software is available upon request. FalconTune© is currently optimized for Yokogawa DCS© but will work with any DCS or PLC through the OPC communication protocol. A range of available licenses provides flexibility to the end-users. Yearly and perpetual, as well as workplace-based and site-wide licenses are available. IMB Controls Inc. performs research and development in process control. IMB has developed FalconTune, which is an automated PID loop tuning software. IMB Controls was founded by Dr. Igor Boiko, who is a leading researcher in the field of control systems. Dr. Igor Boiko is currently a Professor of Electrical Engineering at the Petroleum Institute (PI) in Abu Dhabi.
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    UVI Falcon
    UVI Falcon is a comprehensive hybrid instrument that combines advanced sampling and synthesis capabilities within a semi-modular environment. It features 20 oscillator types, including virtual analog, wavetable, FM, additive, and granular synthesis, allowing for extensive sound design possibilities. With over 100 high-quality effects, users can apply various processing techniques such as reverb, delay, modulation, and filtering to enhance their sounds. Falcon's modulation system includes envelopes, LFOs, and step sequencers, enabling dynamic and evolving textures. The software also supports MIDI processing and scripting, providing tools for creating complex performances and custom instruments. Falcon's interface is adaptable, featuring a new browser for efficient preset management and an intuitive workflow for sound creation. It comes with a factory library of over 1,500 presets and offers expansion options through additional sound libraries.
    Starting Price: $299 one-time payment
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    CrowdStrike Falcon Adversary Intelligence
    CrowdStrike Falcon® Adversary Intelligence provides cutting-edge threat intelligence to help organizations proactively identify and mitigate cyber threats. With access to over 250 adversary profiles, dark web monitoring, and real-time threat intelligence, businesses can strengthen their defense and accelerate response times. This platform integrates seamlessly into existing security operations, offering automated threat modeling, sandbox analysis, and the ability to automate security workflows. CrowdStrike Falcon® empowers organizations to stay ahead of emerging threats with comprehensive insights into adversary tactics, techniques, and procedures.
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    Inception Labs

    Inception Labs

    Inception Labs

    Inception Labs is pioneering the next generation of AI with diffusion-based large language models (dLLMs), a breakthrough in AI that offers 10x faster performance and 5-10x lower cost than traditional autoregressive models. Inspired by the success of diffusion models in image and video generation, Inception’s dLLMs introduce enhanced reasoning, error correction, and multimodal capabilities, allowing for more structured and accurate text generation. With applications spanning enterprise AI, research, and content generation, Inception’s approach sets a new standard for speed, efficiency, and control in AI-driven workflows.
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    Kimi K2.5

    Kimi K2.5

    Moonshot AI

    Kimi K2.5 is a next-generation multimodal AI model designed for advanced reasoning, coding, and visual understanding tasks. It features a native multimodal architecture that supports both text and visual inputs, enabling image and video comprehension alongside natural language processing. Kimi K2.5 delivers open-source state-of-the-art performance in agent workflows, software development, and general intelligence tasks. The model offers ultra-long context support with a 256K token window, making it suitable for large documents and complex conversations. It includes long-thinking capabilities that allow multi-step reasoning and tool invocation for solving challenging problems. Kimi K2.5 is fully compatible with the OpenAI API format, allowing developers to switch seamlessly with minimal changes. With strong performance, flexibility, and developer-focused tooling, Kimi K2.5 is built for production-grade AI applications.
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    Falcon-7B

    Falcon-7B

    Technology Innovation Institute (TII)

    Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-7B? It outperforms comparable open-source models (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions.
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    Falcon

    Falcon

    Nordantech Solutions

    No matter how many initiatives, measures, or ideas you track in your business transformation, Falcon keeps them all together and helps you plan, measure and report at your fingertips. The chaos finally comes to an end! Falcon shows you all strategic measures at a glance. Never again will your strategy projects be scattered in different lists, emails, and reports. Falcon combines all schedules, budgets, and status reports and aggregates them automatically. So you can keep an eye on the big picture and trust that your strategy is delivered. Work with your team on your truly important initiatives, relaxed, in real-time, and from anywhere. Divide your strategy projects into manageable packages and define responsibilities. Falcon's simple tree structure makes this complex task a breeze. With numerous templates, your implementation strategy is ready in no time. Keep milestones and financial effects of your strategic projects always under control.
    Starting Price: €19.87 per month
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    Mistral Large 2
    Mistral AI has launched the Mistral Large 2, an advanced AI model designed to excel in code generation, multilingual capabilities, and complex reasoning tasks. The model features a 128k context window, supporting dozens of languages including English, French, Spanish, and Arabic, as well as over 80 programming languages. Mistral Large 2 is tailored for high-throughput single-node inference, making it ideal for large-context applications. Its improved performance on benchmarks like MMLU and its enhanced code generation and reasoning abilities ensure accuracy and efficiency. The model also incorporates better function calling and retrieval, supporting complex business applications.
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    Cohere

    Cohere

    Cohere AI

    Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.
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    TMS FALCON

    TMS FALCON

    Optidata

    Transport planning, monitoring, settlement and analysis of transport processes have never been more effective. TMS FALCON ® is an IT system of the TMS class , which is an expert in reducing costs in the field of transport management. The extended price lists function allows you to choose the cheapest carrier and negotiate prices, which is why you will estimate transport costs at the planning stage. Thanks to the notification of transport in TMS FALCON ® you will increase the level of service for transport companies, you will be able to monitor the delivery of goods and you will reduce unnecessary downtime. The TMS FALCON ® system as an advanced transport management program contains a lot of functionalities that help in effective control over drivers, vehicle fleets and transport service providers.
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    GLM-4.5V-Flash
    GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.
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    PaLM 2

    PaLM 2

    Google

    PaLM 2 is our next generation large language model that builds on Google’s legacy of breakthrough research in machine learning and responsible AI. It excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency, and natural language generation better than our previous state-of-the-art LLMs, including PaLM. It can accomplish these tasks because of the way it was built – bringing together compute-optimal scaling, an improved dataset mixture, and model architecture improvements. PaLM 2 is grounded in Google’s approach to building and deploying AI responsibly. It was evaluated rigorously for its potential harms and biases, capabilities and downstream uses in research and in-product applications. It’s being used in other state-of-the-art models, like Med-PaLM 2 and Sec-PaLM, and is powering generative AI features and tools at Google, like Bard and the PaLM API.
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    Falcon Cloud Workload Protection
    Falcon Cloud Workload Protection provides complete visibility into workload and container events and instance metadata enabling faster and more accurate detection, response, threat hunting and investigation, to ensure that nothing goes unseen in your cloud environment. Falcon Cloud Workload Protection secures your entire cloud-native stack, on any cloud, across all workloads, containers and Kubernetes applications. Automate security and detect and stop suspicious activity, zero-day attacks, risky behavior to stay ahead of threats and reduce the attack surface. Falcon Cloud Workload Protection key integrations support continuous integration/continuous delivery (CI/CD) workflows allowing you to secure workloads at the speed of DevOps without sacrificing performance
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    Falcon Firewall Management
    Falcon Firewall Management makes it easy to create, manage and enforce policies with a simple, centralized approach. Defend against network threats, and gain instant visibility to enhance protection and inform action.Delivered via the same lightweight Falcon agent, management console and cloud-native architecture, it deploys and is operational in minutes. Simplifies operations by using the same lightweight Falcon agent, management console and cloud-native architecture. Deploys and is operational in minutes without requiring reboots, fine-tuning or complex configuration. Streamlines workflows and increases visibility across endpoint security controls due to the single management console for both endpoint protection and host firewall management. Automatically identify and view specific activities, potential threats and network anomalies.
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    Qwen2.5-VL-32B
    Qwen2.5-VL-32B is a state-of-the-art AI model designed for multimodal tasks, offering advanced capabilities in both text and image reasoning. It builds upon the earlier Qwen2.5-VL series, improving response quality with more human-like, formatted answers. The model excels in mathematical reasoning, fine-grained image understanding, and complex, multi-step reasoning tasks, such as those found in MathVista and MMMU benchmarks. Its superior performance has been demonstrated in comparison to other models, outperforming the larger Qwen2-VL-72B in certain areas. With improved image parsing and visual logic deduction, Qwen2.5-VL-32B provides a detailed, accurate analysis of images and can generate responses based on complex visual inputs. It has been optimized for both text and image tasks, making it ideal for applications requiring sophisticated reasoning and understanding across different media.
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    CrowdStrike Falcon Exposure Management
    CrowdStrike Falcon Exposure Management is an attack surface management platform delivering autonomous, 24/7 discovery of exposed assets across all environments and the supply chain. Leading enterprises worldwide use CrowdStrike Falcon Exposure Management to gain unparalleled visibility of their internet-facing assets and actionable security insights for eliminating shadow IT risks. CrowdStrike Falcon Exposure Management's proprietary technology maps the world's internet exposed assets in real-time. Cutting edge ML classification and association engines analyze all the assets and automatically create your complete inventory. CrowdStrike EASM stands out with its deep adversary intelligence, allowing for precise risk prioritization. Understand threats from an attacker’s perspective and act quickly to secure your assets.
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    Falcon Spotlight

    Falcon Spotlight

    CrowdStrike

    Falcon Spotlight provides real-time visibility across your enterprise — giving you the relevant and timely information you need to reduce your exposure to attacks with zero impact on your endpoints. As part of an integrated platform that prevents exploits and post-exploit activity, Falcon Spotlight™ allows you to research common vulnerabilities and exposures (CVEs) to examine threat actor profiles and targets. Spotlight utilizes scanless technology, delivering an always-on, automated vulnerability management solution with prioritized data in real-time. It eliminates bulky, dated reports with its fast, intuitive dashboard. The cloud-native CrowdStrike Falcon® platform and single lightweight agent collect data once and reuse it many times. As a result, Spotlight requires no additional agents, hardware, scanners or credentials — simply turn on and go.
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    Mistral Medium 3.1
    Mistral Medium 3.1 is the latest frontier-class multimodal foundation model released in August 2025, designed to deliver advanced reasoning, coding, and multimodal capabilities while dramatically reducing deployment complexity and costs. It builds on the highly efficient architecture of Mistral Medium 3, renowned for offering state-of-the-art performance at up to 8-times lower cost than leading large models, enhancing tone consistency, responsiveness, and accuracy across diverse tasks and modalities. The model supports deployment across hybrid environments, on-premises systems, and virtual private clouds, and it achieves competitive performance relative to high-end models such as Claude Sonnet 3.7, Llama 4 Maverick, and Cohere Command A. Ideal for professional and enterprise use cases, Mistral Medium 3.1 excels in coding, STEM reasoning, language understanding, and multimodal comprehension, while maintaining broad compatibility with custom workflows and infrastructure.
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    DeepSeek R1

    DeepSeek R1

    DeepSeek

    DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.
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    Grok 4.1
    Grok 4.1 is an advanced AI model developed by Elon Musk’s xAI, designed to push the limits of reasoning and natural language understanding. Built on the powerful Colossus supercomputer, it processes multimodal inputs including text and images, with upcoming support for video. The model delivers exceptional accuracy in scientific, technical, and linguistic tasks. Its architecture enables complex reasoning and nuanced response generation that rivals the best AI systems in the world. Enhanced moderation ensures more responsible and unbiased outputs than earlier versions. Grok 4.1 is a breakthrough in creating AI that can think, interpret, and respond more like a human.
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    Falcon Horizon CSPM
    Falcon Horizon delivers continuous agentless discovery and visibility of cloud-native assets from the host to the cloud, providing valuable context and insights into the overall security posture and the actions required to prevent potential security incidents. Falcon Horizon provides intelligent agentless monitoring of cloud resources to detect misconfigurations, vulnerabilities and security threats, along with guided remediation to resolve security risks and enable developers with guardrails to avoid costly mistakes. Falcon Horizon’s adversary-focused approach provides real-time threat intelligence on 150+ adversary groups, 50+ IOA detections and guided remediation that improves investigation speed by up to 88%, enabling teams to respond faster and stop breaches. Get up and running in minutes and access a single source of truth for all cloud assets and security configurations across multi- cloud environments and accounts.
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    FalconMetrics

    FalconMetrics

    FalconMetrics

    FalconMetrics is a mobile attribution and analytics software built around its FalconTrack™ technology that delivers real, first-party data matching from ad clicks through installs while staying compliant with privacy frameworks like Apple’s ATT and SKAdNetwork, letting you know exactly which ads drive conversions without inconsistent dashboards or hidden complexity. It offers lightweight SDKs for Android, iOS, and Flutter that integrate directly with ad platforms and app events, enabling real-time insights and optimization inside native ad dashboards, and supports event and conversion tracking such as sign-ups, purchases, and other user actions with privacy-aware options for IP and identifier handling. FalconMetrics is designed with a Flutter-first approach, providing fast setup, efficient performance, and cross-platform support from a single codebase. It emphasizes transparent, simple integration with major ad networks like Meta and aims to capture all meaningful conversions.
    Starting Price: $0.05 per conversation
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    FalconStor

    FalconStor

    FalconStor Software

    FalconStor is a trusted data protection innovator with over an Exabyte of data under management, enabling the world’s most demanding enterprises to modernize their data backup and archival operations across data centers and public clouds. The company delivers increased data security and provides the fast recovery from ransomware attack while driving down costs by up to 90 percent. FalconStor is trusted by 1,000 customers and a network of partners around the world.
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    NVIDIA Cosmos
    NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.
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    Phi-4-mini-flash-reasoning
    Phi-4-mini-flash-reasoning is a 3.8 billion‑parameter open model in Microsoft’s Phi family, purpose‑built for edge, mobile, and other resource‑constrained environments where compute, memory, and latency are tightly limited. It introduces the SambaY decoder‑hybrid‑decoder architecture with Gated Memory Units (GMUs) interleaved alongside Mamba state‑space and sliding‑window attention layers, delivering up to 10× higher throughput and a 2–3× reduction in latency compared to its predecessor without sacrificing advanced math and logic reasoning performance. Supporting a 64 K‑token context length and fine‑tuned on high‑quality synthetic data, it excels at long‑context retrieval, reasoning tasks, and real‑time inference, all deployable on a single GPU. Phi-4-mini-flash-reasoning is available today via Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, enabling developers to build fast, scalable, logic‑intensive applications.
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    Ubuntu MATE

    Ubuntu MATE

    Ubuntu MATE

    It is ideal for those who want the most out of their computers and prefer a traditional desktop metaphor. With modest hardware requirements, it is suitable for modern workstations, single-board computers and older hardware alike. Ubuntu MATE makes modern computers fast and old computers usable. We are delighted to provide ready-to-run images for the Raspberry Model B 2, 3, 3+ and 4 as well as a range of UMPCs such as the GPD Pocket, GPD Pocket 2, GPD MicroPC and Topjoy Falcon.
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    Falcon Identity Threat Detection
    Falcon Identity Threat Detection lets you see all Service and Privileged accounts on your network and cloud with full credential profiles and weak authentication discovery across every domain. Analyze every domain in your organization for potential vulnerability from stale credentials, and weak or stale passwords, see all service connections and weak authentication protocols in use. Falcon Identity Threat Detection monitors the domain controllers on-premises or in the cloud (via API) to see all authentication traffic. It creates a baseline for all entities and compares behavior against unusual lateral movement, Golden Ticket attacks, Mimikatz traffic patterns and other related threats. It can help you see Escalation of Privilege and anomalous Service Account activity. Falcon Identity Threat Detection reduces the time to detect by viewing live authentication traffic, which expedites finding and resolving incidents.
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    LLaVA

    LLaVA

    LLaVA

    LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.
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    GLM-4.7-Flash
    GLM-4.7 Flash is a lightweight variant of GLM-4.7, Z.ai’s flagship large language model designed for advanced coding, reasoning, and multi-step task execution with strong agentic performance and a very large context window. It is an MoE-based model optimized for efficient inference that balances performance and resource use, enabling deployment on local machines with moderate memory requirements while maintaining deep reasoning, coding, and agentic task abilities. GLM-4.7 itself advances over earlier generations with enhanced programming capabilities, stable multi-step reasoning, context preservation across turns, and improved tool-calling workflows, and supports very long context lengths (up to ~200 K tokens) for complex tasks that span large inputs or outputs. The Flash variant retains many of these strengths in a smaller footprint, offering competitive benchmark performance in coding and reasoning tasks for models in its size class.
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    Qwen2

    Qwen2

    Alibaba

    Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.
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    GLM-4.6V

    GLM-4.6V

    Zhipu AI

    GLM-4.6V is a state-of-the-art open source multimodal vision-language model from the Z.ai (GLM-V) family designed for reasoning, perception, and action. It ships in two variants: a full-scale version (106B parameters) for cloud or high-performance clusters, and a lightweight “Flash” variant (9B) optimized for local deployment or low-latency use. GLM-4.6V supports a native context window of up to 128K tokens during training, enabling it to process very long documents or multimodal inputs. Crucially, it integrates native Function Calling, meaning the model can take images, screenshots, documents, or other visual media as input directly (without manual text conversion), reason about them, and trigger tool calls, bridging “visual perception” with “executable action.” This enables a wide spectrum of capabilities; interleaved image-and-text content generation (for example, combining document understanding with text summarization or generation of image-annotated responses).
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    Phi-4-mini-reasoning
    Phi-4-mini-reasoning is a 3.8-billion parameter transformer-based language model optimized for mathematical reasoning and step-by-step problem solving in environments with constrained computing or latency. Fine-tuned with synthetic data generated by the DeepSeek-R1 model, it balances efficiency with advanced reasoning ability. Trained on over one million diverse math problems spanning multiple levels of difficulty from middle school to Ph.D. level, Phi-4-mini-reasoning outperforms its base model on long sentence generation across various evaluations and surpasses larger models like OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. It features a 128K-token context window and supports function calling, enabling integration with external tools and APIs. Phi-4-mini-reasoning can be quantized using Microsoft Olive or Apple MLX Framework for deployment on edge devices such as IoT, laptops, and mobile devices.
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    Progress Agentic RAG

    Progress Agentic RAG

    Progress Software

    Progress Agentic RAG is a SaaS Retrieval-Augmented Generation platform that automatically indexes, searches, and generates AI-powered insights from structured and unstructured business data, including documents, emails, video, slides, and more, by combining RAG with agentic workflows that reason, classify, summarize, and answer queries with traceable, verifiable results without requiring users to build and manage their own RAG infrastructure. Designed as a modular no-code RAG-as-a-Service solution, it accelerates AI readiness by letting organizations extract contextual intelligence and business knowledge using natural language queries and quality-driven output metrics while integrating with any leading Large Language Model (LLM) and supporting multilingual, multimodal content indexing and retrieval. Features include AI summarization and classification, generated Q&A from enterprise data, a Prompt Lab for validating LLM behavior with custom prompts.
    Starting Price: $700 per month
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    L3Harris Falcon Net Ecosystem
    Powered by tightly integrated networking technologies, the L3Harris Falcon Net Ecosystem delivers robust, resilient, data-centric communications, no matter how complex the scenario. Tactical decisions need to move at the speed of light and be correct. Rich data intelligence, video ISR, high-speed MANET networks, and unwavering interoperability are critical for mission superiority. That is the foundation of Falcon Net Ecosystem technologies. This end-to-end solution is fueled by over six decades of global tactical expertise, and our commitment to warfighter safety and overmatch capabilities. Software-defined for simplified upgrades and investment protection. Over 100,000 in action worldwide from the global leader in tactical communications. LPI/LPD technologies reduce jamming, interception, and detection. Network design, deployment, and monitoring are faster and more accurate.
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    Azure OpenAI Service
    Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.
    Starting Price: $0.0004 per 1000 tokens