Find and compare the best Artificial Intelligence software for Amazon Bedrock in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Amazon Bedrock on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Kong AI Gateway
Kong Inc.
Kong AI Gateway serves as a sophisticated semantic AI gateway that manages and secures traffic from Large Language Models (LLMs), facilitating the rapid integration of Generative AI (GenAI) through innovative semantic AI plugins. This platform empowers users to seamlessly integrate, secure, and monitor widely-used LLMs while enhancing AI interactions with features like semantic caching and robust security protocols. Additionally, it introduces advanced prompt engineering techniques to ensure compliance and governance are maintained. Developers benefit from the simplicity of adapting their existing AI applications with just a single line of code, which significantly streamlines the migration process. Furthermore, Kong AI Gateway provides no-code AI integrations, enabling users to transform and enrich API responses effortlessly through declarative configurations. By establishing advanced prompt security measures, it determines acceptable behaviors and facilitates the creation of optimized prompts using AI templates that are compatible with OpenAI's interface. This powerful combination of features positions Kong AI Gateway as an essential tool for organizations looking to harness the full potential of AI technology. -
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RouteLLM
LMSYS
Created by LM-SYS, RouteLLM is a publicly available toolkit that enables users to direct tasks among various large language models to enhance resource management and efficiency. It features strategy-driven routing, which assists developers in optimizing speed, precision, and expenses by dynamically choosing the most suitable model for each specific input. This innovative approach not only streamlines workflows but also enhances the overall performance of language model applications. -
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Orq.ai
Orq.ai
Orq.ai stands out as the leading platform tailored for software teams to effectively manage agentic AI systems on a large scale. It allows you to refine prompts, implement various use cases, and track performance meticulously, ensuring no blind spots and eliminating the need for vibe checks. Users can test different prompts and LLM settings prior to launching them into production. Furthermore, it provides the capability to assess agentic AI systems within offline environments. The platform enables the deployment of GenAI features to designated user groups, all while maintaining robust guardrails, prioritizing data privacy, and utilizing advanced RAG pipelines. It also offers the ability to visualize all agent-triggered events, facilitating rapid debugging. Users gain detailed oversight of costs, latency, and overall performance. Additionally, you can connect with your preferred AI models or even integrate your own. Orq.ai accelerates workflow efficiency with readily available components specifically designed for agentic AI systems. It centralizes the management of essential phases in the LLM application lifecycle within a single platform. With options for self-hosted or hybrid deployment, it ensures compliance with SOC 2 and GDPR standards, thereby providing enterprise-level security. This comprehensive approach not only streamlines operations but also empowers teams to innovate and adapt swiftly in a dynamic technological landscape. -
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MARS6
CAMB.AI
CAMB.AI's MARS6 represents a revolutionary advancement in text-to-speech (TTS) technology, making it the first speech model available on the Amazon Web Services (AWS) Bedrock platform. This integration empowers developers to weave sophisticated TTS functionalities into their generative AI projects, paving the way for the development of more dynamic voice assistants, captivating audiobooks, interactive media, and a variety of audio-driven experiences. With its cutting-edge algorithms, MARS6 delivers natural and expressive speech synthesis, establishing a new benchmark for TTS conversion quality. Developers can conveniently access MARS6 via the Amazon Bedrock platform, which promotes effortless integration into their applications, thereby enhancing user engagement and accessibility. The addition of MARS6 to AWS Bedrock's extensive array of foundational models highlights CAMB.AI's dedication to pushing the boundaries of machine learning and artificial intelligence. By providing developers with essential tools to craft immersive audio experiences, CAMB.AI is not only facilitating innovation but also ensuring that these advancements are built on AWS's trusted and scalable infrastructure. This synergy between advanced TTS technology and cloud capabilities is poised to transform how users interact with audio content across diverse platforms. -
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Vertesia
Vertesia
Vertesia serves as a comprehensive, low-code platform for generative AI that empowers enterprise teams to swiftly design, implement, and manage GenAI applications and agents on a large scale. Tailored for both business users and IT professionals, it facilitates a seamless development process, enabling a transition from initial prototype to final production without the need for lengthy timelines or cumbersome infrastructure. The platform accommodates a variety of generative AI models from top inference providers, granting users flexibility and reducing the risk of vendor lock-in. Additionally, Vertesia's agentic retrieval-augmented generation (RAG) pipeline boosts the precision and efficiency of generative AI by automating the content preparation process, which encompasses advanced document processing and semantic chunking techniques. With robust enterprise-level security measures, adherence to SOC2 compliance, and compatibility with major cloud services like AWS, GCP, and Azure, Vertesia guarantees safe and scalable deployment solutions. By simplifying the complexities of AI application development, Vertesia significantly accelerates the path to innovation for organizations looking to harness the power of generative AI. -
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WebOrion Protector Plus
cloudsineAI
WebOrion Protector Plus is an advanced firewall powered by GPU technology, specifically designed to safeguard generative AI applications with essential mission-critical protection. It delivers real-time defenses against emerging threats, including prompt injection attacks, sensitive data leaks, and content hallucinations. Among its notable features are defenses against prompt injection, protection of intellectual property and personally identifiable information (PII) from unauthorized access, and content moderation to ensure that responses from large language models (LLMs) are both accurate and relevant. Additionally, it implements user input rate limiting to reduce the risk of security vulnerabilities and excessive resource consumption. Central to its robust capabilities is ShieldPrompt, an intricate defense mechanism that incorporates context evaluation through LLM analysis of user prompts, employs canary checks by integrating deceptive prompts to identify possible data breaches, and prevents jailbreak attempts by utilizing Byte Pair Encoding (BPE) tokenization combined with adaptive dropout techniques. This comprehensive approach not only fortifies security but also enhances the overall reliability and integrity of generative AI systems. -
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Amazon Bedrock AgentCore
Amazon
$0.0895 per vCPU-hourAmazon Bedrock AgentCore allows for the secure deployment and management of advanced AI agents at scale, featuring infrastructure specifically designed for dynamic agent workloads, robust tools for agent enhancement, and vital controls for real-world applications. It is compatible with any framework and foundation model, whether within or outside of Amazon Bedrock, thus eliminating the burdensome need for specialized infrastructure. AgentCore ensures complete session isolation and offers industry-leading support for prolonged workloads lasting up to eight hours, with seamless integration into existing identity providers for smooth authentication and permission management. Additionally, a gateway is utilized to convert APIs into tools that are ready for agents with minimal coding required, while built-in memory preserves context throughout interactions. Furthermore, agents benefit from a secure browser environment that facilitates complex web-based tasks and a sandboxed code interpreter, which is ideal for functions such as creating visualizations, enhancing their overall capability. This combination of features significantly streamlines the development process, making it easier for organizations to leverage AI technology effectively. -
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AGAT Secure AI Platform
AGAT Software
The AGAT Secure AI Platform is an AI solution that prioritizes security, offering robust generative AI features tailored for enterprise needs while maintaining strict data protection and governance standards. It can be deployed in various settings, including on-premises environments that are completely isolated, or through cloud services, facilitating scenarios where data exposure is minimized and enabling comprehensive control for enterprises. This platform includes two key components: an AI Suite and an AI Firewall. The AI Suite provides a private AI ecosystem featuring various modules, such as a knowledge assistant that retrieves answers from internal data, a data-analysis agent that performs natural language analytics on spreadsheets and databases, a smart search tool for meaning-based content discovery, an AI code assistant for code completion, generation, and error detection, as well as AI agents capable of planning and executing tasks through file modifications and internet searches. Meanwhile, the AI Firewall functions as a real-time proxy for public AI services, implementing risk-based policies and additional security measures, thus ensuring that organizations can leverage AI safely while adhering to their governance frameworks. Overall, AGAT Secure AI Platform stands out for its commitment to security without sacrificing the innovative capabilities of generative AI. -
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Galileo
Galileo
Understanding the shortcomings of models can be challenging, particularly in identifying which data caused poor performance and the reasons behind it. Galileo offers a comprehensive suite of tools that allows machine learning teams to detect and rectify data errors up to ten times quicker. By analyzing your unlabeled data, Galileo can automatically pinpoint patterns of errors and gaps in the dataset utilized by your model. We recognize that the process of ML experimentation can be chaotic, requiring substantial data and numerous model adjustments over multiple iterations. With Galileo, you can manage and compare your experiment runs in a centralized location and swiftly distribute reports to your team. Designed to seamlessly fit into your existing ML infrastructure, Galileo enables you to send a curated dataset to your data repository for retraining, direct mislabeled data to your labeling team, and share collaborative insights, among other functionalities. Ultimately, Galileo is specifically crafted for ML teams aiming to enhance the quality of their models more efficiently and effectively. This focus on collaboration and speed makes it an invaluable asset for teams striving to innovate in the machine learning landscape. -
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Qlik Staige
QlikTech
Leverage the capabilities of Qlik® Staige™ to transform AI into a tangible reality by establishing a reliable data infrastructure, incorporating automation, generating actionable predictions, and creating a significant impact across your organization. AI transcends mere experiments and initiatives; it represents a comprehensive ecosystem filled with files, scripts, and outcomes. Regardless of where you allocate your resources, we have collaborated with premier sources to provide integrations that enhance efficiency, facilitate management, and ensure quality assurance. Streamline the process of delivering real-time data to AWS data warehouses or data lakes, making it readily available through a well-governed catalog. Our latest partnership with Amazon Bedrock allows for seamless connections to essential large language models (LLMs) such as A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This smooth integration with Amazon Bedrock not only simplifies access for AWS customers but also empowers them to harness large language models alongside analytics, resulting in insightful, AI-driven conclusions. By utilizing these advancements, organizations can fully unlock their data's potential in innovative ways. -
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Anycode AI
Anycode AI
The sole auto-pilot tool designed specifically for your distinctive software development process is Anycode AI. This innovative solution transforms your entire legacy codebase into contemporary technology stacks at a speed up to eight times quicker than traditional methods. With Anycode AI, you can enhance your coding efficiency by ten times, leveraging AI for quick and compliant coding and testing. Experience rapid modernization with Anycode AI, which allows you to manage legacy code effortlessly while adapting to updates for streamlined applications. Transition from outdated systems with ease, as our platform optimizes old logic to ensure a seamless shift to cutting-edge technologies. Embrace the future of coding and testing with Anycode AI, and watch your productivity soar. -
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Aim
Aim
Unlock the advantages of generative AI for your business while minimizing associated risks. Ensure safe organizational use of AI through enhanced visibility and effective remediation, all while utilizing your current security framework. Maintain awareness of your AI landscape by obtaining a full inventory of all generative AI applications within your organization. Effectively manage AI-related risks by identifying which applications have the capacity to store and learn from your data, as well as understanding the connections between various data types and language models. With Aim, you can track AI adoption trends over time and gain crucial insights that are vital for business operations. Aim equips organizations to harness public generative AI technology securely, revealing hidden shadow AI tools and their potential risks while implementing real-time data protection strategies. By securing your internal language model deployments, Aim enhances the productivity of AI copilots, addressing misconfigurations, identifying threats, and strengthening trust boundaries for a safer AI environment. This approach fosters a culture of innovation while ensuring that your organization remains protected in an evolving digital landscape. -
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Motific.ai
Outshift by Cisco
Embark on an accelerated journey toward adopting GenAI technologies within your organization. With just a few clicks, you can set up GenAI assistants that utilize your company’s data. Implement GenAI assistants equipped with security measures, fostering trust, compliance, and effective cost management. Explore the ways your teams are harnessing AI-driven assistants to gain valuable insights from data. Identify new opportunities to enhance the value derived from these technologies. Empower your GenAI applications through leading Large Language Models (LLMs). Establish seamless connections with premier GenAI model providers like Google, Amazon, Mistral, and Azure. Utilize secure GenAI features on your marketing communications site to effectively respond to inquiries from the press, analysts, and customers. Swiftly create and deploy GenAI assistants on web platforms, ensuring they deliver quick, accurate, and policy-compliant responses based on your public content. Additionally, harness secure GenAI capabilities to provide prompt and accurate answers to legal policy inquiries posed by your staff, enhancing overall efficiency and clarity. By integrating these solutions, you can significantly improve the support provided to both employees and clients alike. -
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Mirascope
Mirascope
Mirascope is an innovative open-source library designed on Pydantic 2.0, aimed at providing a clean and highly extensible experience for prompt management and the development of applications utilizing LLMs. This robust library is both powerful and user-friendly, streamlining interactions with LLMs through a cohesive interface that is compatible with a range of providers such as OpenAI, Anthropic, Mistral, Gemini, Groq, Cohere, LiteLLM, Azure AI, Gemini Enterprise Agent Platform, and Bedrock. Whether your focus is on generating text, extracting structured data, or building sophisticated AI-driven agent systems, Mirascope equips you with essential tools to enhance your development workflow and create impactful, resilient applications. Additionally, Mirascope features response models that enable you to effectively structure and validate output from LLMs, ensuring that the responses meet specific formatting requirements or include necessary fields. This capability not only enhances the reliability of the output but also contributes to the overall quality and precision of the application you are developing. -
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Amazon Nova
Amazon
Amazon Nova represents an advanced generation of foundation models (FMs) that offer cutting-edge intelligence and exceptional price-performance ratios, and it is exclusively accessible through Amazon Bedrock. The lineup includes three distinct models: Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, each designed to process inputs in text, image, or video form and produce text-based outputs. These models cater to various operational needs, providing diverse options in terms of capability, accuracy, speed, and cost efficiency. Specifically, Amazon Nova Micro is tailored for text-only applications, ensuring the quickest response times at minimal expense. In contrast, Amazon Nova Lite serves as a budget-friendly multimodal solution that excels at swiftly handling image, video, and text inputs. On the other hand, Amazon Nova Pro boasts superior capabilities, offering an optimal blend of accuracy, speed, and cost-effectiveness suitable for an array of tasks, including video summarization, Q&A, and mathematical computations. With its exceptional performance and affordability, Amazon Nova Pro stands out as an attractive choice for nearly any application. -
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Amazon Nova Canvas
Amazon
Amazon Nova Canvas is an advanced image generation tool that produces high-quality images based on textual descriptions or images supplied as prompts. In addition to its impressive generation capabilities, Amazon Nova Canvas includes user-friendly features for image editing through text commands, options for modifying color palettes and layouts, and integrated safety measures to ensure responsible AI usage. This combination of functionalities makes it a versatile choice for both professional and creative users. -
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Amazon Nova Reel
Amazon
Amazon Nova Reel represents a cutting-edge advancement in video generation technology, enabling users to effortlessly produce high-quality videos from text and images. This innovative model utilizes natural language prompts to manipulate various elements such as visual style and pacing, incorporating features like camera motion adjustments. Additionally, it includes integrated controls designed to promote the safe and ethical application of artificial intelligence in video creation, ensuring users can harness its full potential responsibly. -
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PartyRock
Amazon
PartyRock is an innovative platform that allows individuals to create AI-driven applications within a dynamic environment supported by Amazon Bedrock. This engaging space offers a quick and enjoyable introduction to generative AI. Introduced by Amazon Web Services (AWS) in November 2023, PartyRock caters to users of all skill levels, enabling them to design applications powered by generative AI without requiring any programming knowledge. Users can simply articulate their app ideas to develop a wide range of applications, from basic text generators to advanced productivity tools that leverage various AI features. Since its launch, the platform has seen the creation of over 500,000 applications by users around the globe. Functioning as a playground, PartyRock utilizes Amazon Bedrock, AWS's comprehensive service that grants access to essential AI models. Additionally, the platform features a web-based interface that removes the necessity for an AWS account, allowing users to log in using their existing social media credentials. Moreover, users have the opportunity to browse through hundreds of thousands of published applications, organized by their respective functionalities, further enhancing their creative possibilities. This makes PartyRock an exciting and accessible option for anyone interested in exploring the potential of generative AI. -
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Langflow
Langflow
Langflow serves as a low-code AI development platform that enables the creation of applications utilizing agentic capabilities and retrieval-augmented generation. With its intuitive visual interface, developers can easily assemble intricate AI workflows using drag-and-drop components, which streamlines the process of experimentation and prototyping. Being Python-based and independent of any specific model, API, or database, it allows for effortless integration with a wide array of tools and technology stacks. Langflow is versatile enough to support the creation of intelligent chatbots, document processing systems, and multi-agent frameworks. It comes equipped with features such as dynamic input variables, fine-tuning options, and the flexibility to design custom components tailored to specific needs. Moreover, Langflow connects seamlessly with various services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers have the option to work with pre-existing components or write their own code, thus enhancing the adaptability of AI application development. The platform additionally includes a free cloud service, making it convenient for users to quickly deploy and test their projects, fostering innovation and rapid iteration in AI solutions. As a result, Langflow stands out as a comprehensive tool for anyone looking to leverage AI technology efficiently. -
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Sema4.ai
Sema4.ai
Sema4.ai enables business users to create and manage enterprise AI agents on a large scale, allowing them to perceive, act, and learn in ways that were once thought impossible. These advanced enterprise AI agents are innovative applications capable of handling intricate tasks with remarkable precision and efficiency. While they are powered by large language models, their abilities extend far beyond mere text processing. Designed to be user-friendly, agents can be trained using simple English, which allows even those without technical expertise to develop and oversee them. Additionally, these agents can interpret both documents and images, enhancing their functionality. Operating continuously, they autonomously seek out and execute tasks around the clock. A notable application is in invoice reconciliation, a vital financial procedure that guarantees prompt and accurate vendor payments. Our enterprise AI agents optimize this process by automating the complete workflow, which not only reduces costs but also reinforces financial oversight. By automating these tasks, a finance agent liberates time for finance professionals, enabling them to focus on more strategic management activities. This transformative approach not only enhances operational efficiency but also elevates the overall effectiveness of financial teams within organizations. -
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Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows, enabling users to build, train, and deploy models more effectively. The platform supports collaborative project work, secure data sharing, and access to Amazon’s AI services for generative AI app development. With built-in tools for model training, inference, and evaluation, SageMaker Unified Studio accelerates the AI development lifecycle.
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Aurascape
Aurascape
Aurascape is a cutting-edge security platform tailored for the AI era, empowering businesses to innovate securely amidst the rapid advancements of artificial intelligence. It offers an all-encompassing view of interactions between AI applications, effectively protecting against potential data breaches and threats driven by AI technologies. Among its standout features are the ability to oversee AI activity across a wide range of applications, safeguarding sensitive information to meet compliance standards, defending against zero-day vulnerabilities, enabling the secure implementation of AI copilots, establishing guardrails for coding assistants, and streamlining AI security workflows through automation. The core mission of Aurascape is to foster a confident adoption of AI tools within organizations while ensuring strong security protocols are in place. As AI applications evolve, their interactions become increasingly dynamic, real-time, and autonomous, necessitating robust protective measures. By preempting emerging threats, safeguarding data with exceptional accuracy, and enhancing team productivity, Aurascape also monitors unauthorized app usage, identifies risky authentication practices, and curtails unsafe data sharing. This comprehensive security approach not only mitigates risks but also empowers organizations to fully leverage the potential of AI technologies. -
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Amazon Nova Micro
Amazon
Amazon Nova Micro is an advanced text-only AI model optimized for rapid language processing at a very low cost. With capabilities in reasoning, translation, and code completion, it offers over 200 tokens per second in response generation, making it suitable for fast-paced, real-time applications. Nova Micro supports fine-tuning with text inputs, and its efficiency in understanding and generating text makes it a cost-effective solution for AI-driven applications requiring high performance and quick outputs. -
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Amazon Nova Lite
Amazon
Amazon Nova Lite is a versatile AI model that supports multimodal inputs, including text, image, and video, and provides lightning-fast processing. It offers a great balance of speed, accuracy, and affordability, making it ideal for applications that need high throughput, such as customer engagement and content creation. With support for fine-tuning and real-time responsiveness, Nova Lite delivers high-quality outputs with minimal latency, empowering businesses to innovate at scale. -
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Amazon Nova Pro
Amazon
Amazon Nova Pro is a high-performance multimodal AI model that combines top-tier accuracy with fast processing and cost efficiency. It is perfect for use cases like video summarization, complex Q&A, code development, and executing multi-step AI workflows. Nova Pro supports text, image, and video inputs, allowing businesses to enhance customer interactions, content creation, and data analysis with AI. Its ability to perform well on industry benchmarks makes it suitable for enterprises aiming to streamline operations and drive automation.
