Find and compare the best Artificial Intelligence software for Amazon Web Services (AWS) in 2026
Sort:
Use the comparison tool below to compare the top Artificial Intelligence software for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
-
1
Hyper
Hyper
Hyper is an innovative internal developer platform powered by AI, aimed at enabling enterprise teams to rapidly create custom software, internal tools, and applications with enhanced efficiency and scalability. Serving as a “first-mile” engine in the software development process, it empowers organizations to convert structured business logic into fully operational applications that are owned by developers, utilizing AI-driven scaffolding. This platform prioritizes both speed and autonomy, allowing teams to develop secure and scalable solutions within days while retaining complete control over their systems without depending on third-party vendors. Hyper is designed to eliminate disjointed workflows and temporary prototypes, offering a unified architecture that reflects an organization’s internal framework, standards, and procedures. Additionally, it introduces a contextual system where interactions, memory, and business logic are organized to enable AI agents to not only access data but also to analyze and engage in the execution of processes. By fostering a collaborative environment, Hyper enhances the overall software development experience for teams. -
2
LakeSail
LakeSail
LakeSail is an integrated, cloud-based data and AI platform aimed at revolutionizing the way organizations handle, analyze, and utilize vast amounts of data by merging all tasks into one efficient system. Central to this platform is Sail, a Rust-based distributed computation engine that acts as a straightforward substitute for Apache Spark, allowing teams to execute their existing SQL and Python workloads without needing to modify their code, all while reducing JVM overhead and enhancing overall performance. This platform consolidates batch processing, stream processing, ad-hoc queries, and AI tasks into a singular runtime, which enables data pipelines and intelligent systems to function smoothly on the same infrastructure. Additionally, it features a multimodal lakehouse architecture adept at managing both structured and unstructured data, such as PDFs, images, and videos, within a unified environment, thereby catering to contemporary AI-focused applications. By streamlining these processes, LakeSail empowers organizations to leverage their data more effectively and drive innovation in their operations. -
3
JetStream Security
JetStream
JetStream Security serves as a governance platform focused on security, enabling enterprises to gain comprehensive visibility, control, and responsibility over their AI systems by transforming them from unclear, disjointed applications into managed and traceable infrastructures. Functioning as a unified control center, it integrates identity management, operational governance, monitoring, and financial management into one cohesive system, empowering organizations to “monitor every AI action, associate actions with accountable individuals, and ensure workflows stay within authorized limits” while applying policies during runtime. Furthermore, it incorporates agentic identity, linking human, agentic, and non-human identities to specific actions and access rights, thereby ensuring that each invocation, tool usage, or workflow can be tracked and governed according to least-privilege access standards. By maintaining ongoing runtime governance, JetStream continuously evaluates actual AI behavior against pre-approved frameworks, utilizing immutable logging and real-time monitoring to identify deviations, thereby reinforcing security and compliance. This robust approach not only enhances accountability but also supports organizations in navigating the complexities of AI governance effectively. -
4
Notenic
Notenic
Notenic serves as a runtime orchestration and governance platform aimed at managing and securing autonomous AI agents, also known as "digital labor," in real-time scenarios where failures could lead to significant regulatory, legal, or operational repercussions. Functioning as an infrastructure layer, it integrates directly into the execution path of AI systems to enforce strict governance protocols prior to any interaction with systems of record, thus avoiding the limitations of post-output filters or controls applied at the prompt level. The platform incorporates a zero-trust runtime architecture characterized by foundational principles such as zero-persistence, which ensures no data is retained after each session, and execution-path control that enforces policies right at the moment actions are taken. This design also emphasizes independence from model context, effectively preventing any adversarial inputs from compromising governed behavior. In addition, Notenic offers a comprehensive control plane that encompasses the management of AI agents, treating them as operational units with clearly defined roles and appropriate oversight, which enhances organizational efficiency and accountability. This robust framework ultimately ensures that AI operations are conducted within a secure and compliant environment. -
5
ReinforceNow
ReinforceNow
ReinforceNow serves as a comprehensive platform dedicated to ongoing learning through AI agents, designed to assist teams in deploying, training, and iterating efficiently. Developers are empowered to create AI agents that can be continuously trained using production traffic, or they can opt for Claude Code to configure the setup automatically. The platform manages vital components such as reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, allowing teams to concentrate on refining agent logic, data collection, and reward systems. With support for rapid LLM fine-tuning using LoRA, high-throughput training capabilities, and extensive compatibility with open-source models including Qwen, DeepSeek, and GPT-OSS, ReinforceNow enhances developers' efficiency. It offers sophisticated telemetry features that help evaluate, monitor, and iterate on AI agent LLM applications, including detailed traces, reward systems, experiment metrics, and training visibility. Teams can tackle extended tasks that require context sizes ranging from 32k to 1 million, create specialized agents for multi-turn interactions and long-duration tasks, and access an array of tools to streamline their reinforcement learning workflows, ultimately fostering innovation in AI development. -
6
Matters.AI
Matters.AI
Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age. -
7
Firstwork
Firstwork
Firstwork delivers advanced AI solutions for workforce operations, utilizing enterprise-grade AI agents that enhance candidate fill rates, decrease drop-offs, and facilitate a seamless transition from offer acceptance to the first work shift. Designed specifically for those who shape our world, Firstwork streamlines the various operational tasks that often hinder hiring, onboarding, compliance, and workforce management. The Document Verification agent efficiently authenticates IDs, permits, and other necessary documents in real time, promptly flagging any errors, poor image quality, or missing information to expedite the onboarding process. Additionally, the Browser Automation feature takes care of web-based tasks across multiple external platforms and systems, ensuring checks and updates are completed concurrently with comprehensive audit trails. Furthermore, the Workflow Engine transforms standard operating procedures into automated, flexible workflows powered by AI, empowering teams to create intricate, multi-step processes that operate seamlessly from start to finish without the need for manual oversight, ultimately enhancing overall efficiency. This innovative approach not only improves productivity but also supports a more agile workforce management strategy. -
8
General Analysis
General Analysis
General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats. -
9
PhysicsX
PhysicsX
PhysicsX Platform is an advanced engineering platform driven by AI that harnesses the capabilities of artificial intelligence throughout the domains of design, manufacturing, and operations, facilitating significant advancements in performance, efficiency, and speed for vital industrial sectors globally. This platform merges simulation, physics AI, data, and engineering applications into a cohesive software foundation that seamlessly integrates with existing tools utilized by engineers. Specifically designed to support the entire product lifecycle—from initial concept and design to manufacturing and operational phases—PhysicsX incorporates AI into the engineering process rather than treating it as an additional component. By empowering enterprises to swiftly create, implement, and expand a new generation of AI tools within intricate engineering workflows, PhysicsX allows teams to effectively train and deploy physics AI directly in real-world design and production contexts while enhancing productivity and innovation. Ultimately, the platform represents a transformative step toward the future of engineering. -
10
Duvo.ai
Duvo.ai
Duvo.ai serves as a dynamic operations platform tailored for retail, FMCG, and CPG teams, adept at visualizing actual operational processes, creating enhanced workflows, and managing approved tasks through various systems including ERP, supplier portals, emails, spreadsheets, and internal tools. By accurately reflecting the current state of operations and designing improved methodologies, Duvo bridges the divide between ideal workflows and the realities of everyday tasks. With the innovative Duvo Clarity feature, teams can efficiently map workflows, departments, or teams within just a few days, utilizing a range of evidence-gathering methods such as screen recordings, structured interviews, and existing documentation. This process culminates in a comprehensive L4 process map that details tasks, systems, decisions, handoffs, exceptions, workarounds, rework, associated costs, potential savings, control boundaries, as well as identifying the most suitable candidates for automation or redesign. Furthermore, Duvo Automation takes the refined process map and converts it into actionable agents that seamlessly execute processes from start to finish across the pre-existing systems utilized by teams, thereby enhancing overall efficiency and productivity. Ultimately, this integration not only streamlines operations but also empowers teams to focus on strategic initiatives rather than getting bogged down by mundane tasks. -
11
GPT-6
OpenAI
GPT-6 is an upcoming OpenAI model and the expected next major step beyond the GPT-5.x generation. OpenAI has not yet announced GPT-6 as a generally available product, and public documentation does not currently include GPT-6 pricing, benchmarks, model cards, API access, context length, modality details, or release timing. The latest official OpenAI model materials instead focus on GPT-5.6 Sol, Terra, and Luna, with Sol positioned as the flagship model for complex reasoning and coding. GPT-6 should therefore be described as a forthcoming model rather than a current production option. If it follows OpenAI’s current roadmap direction, GPT-6 will likely improve performance across reasoning, software engineering, scientific work, enterprise workflows, multimodal tasks, and AI agents. It may also expand capabilities around tool use, computer use, file search, web search, long-context work, structured outputs, and high-reliability automation. For businesses, GPT-6 could eventually become a foundation for customer support agents, internal copilots, coding systems, data analysis workflows, research assistants, and complex knowledge-work automation. Developers should continue using officially documented OpenAI models until GPT-6 is formally released. By positioning GPT-6 as an upcoming model, organizations can discuss the future of OpenAI’s model family without overstating what is currently public. -
12
Mavvrik
Mavvrik
Mavvrik operates as a sophisticated platform for managing costs associated with AI and hybrid infrastructure, providing a centralized hub for finance, FinOps, IT, and engineering teams to oversee GenAI, autonomous agents, GPUs, cloud systems, on-premises resources, Kubernetes, data platforms, and SaaS solutions. By consolidating cost, usage, and telemetry data from major providers such as AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, it establishes a comprehensive source of truth for the entire technology ecosystem. Teams can meticulously monitor each model interaction, agent engagement, GPU utilization, and resource workload, allowing for precise spending allocation across various dimensions, including customer, product, feature, project, application, environment, team, or cost center. Through in-depth analysis of cost-to-serve and unit economics, Mavvrik uncovers margin losses, identifies costly workloads, and clarifies the actual expenses involved in delivering each service. Additionally, its capability for real-time anomaly detection and alerts serves to flag unusual usage patterns before they escalate into unexpected budget overruns, while its predictive forecasting tools assist organizations in effectively modeling their cloud, GPU, and AI-related expenditures. This holistic approach empowers teams to make informed financial decisions and optimize resource utilization for sustained growth. -
13
Darktrace / CLOUD
Darktrace
Darktrace / CLOUD serves as an AI-enhanced solution for detecting and responding to cyber threats, specifically designed to enhance cyber resilience in hybrid and multi-cloud settings. Utilizing its Self-Learning AI capabilities, it constantly observes cloud assets, containers, APIs, users, identities, and network behavior to establish what is typical, allowing it to identify both familiar and unprecedented threats instantaneously. The Cyber AI Analyst efficiently triages alerts and quickens the investigative process, while the platform's Autonomous Response feature can accurately neutralize harmful activities without causing disruption to cloud infrastructure or ongoing services. This solution offers continuous, real-time insight into the changing landscapes of cloud architectures, workloads, access permissions, and live threat detections, facilitating collaboration between SecOps and DevOps teams through a unified perspective. It effectively prioritizes issues such as misconfigurations, excessive permissions, vulnerable devices, and critical attack vectors based on the business context, thereby aiding in proactive risk mitigation and ensuring cloud compliance. Furthermore, the integration of advanced analytics allows organizations to adapt their security postures dynamically as their cloud environments evolve. -
14
GPT-5.6 Sol Ultrafast
OpenAI
The new OpenAI API service tier, GPT-5.6 Sol Ultrafast, operates up to 14 times quicker than the Standard processing version, delivering cutting-edge intelligence to applications and workflows where every fleeting moment is crucial. Utilizing Cerebras technology, it boasts the capability to produce as many as 750 output tokens each second, enabling sophisticated reasoning to function at real-time velocities without the need for a more compact or specialized model. This service is particularly tailored for business environments where rapid responses can significantly enhance the capabilities of AI systems. It has various applications, including incident response, where it can swiftly analyze logs, code changes, traces, and engineering reports during ongoing outages; financial research and security, where it can rapidly evaluate fluctuating market signals and identify suspicious transactions; and customer support, where intricate problems can be resolved seamlessly during live conversations. In the realm of e-commerce, it excels at handling product inquiries, verifying inventory status, and customizing product recommendations to enhance user experience. By implementing this advanced service, organizations can expect improved efficiency and effectiveness in their operations. -
15
Onyx Security
Onyx Security
Onyx serves as a robust AI control platform designed for the discovery, protection, governance, optimization, and evaluation of AI agents and models within an organization. It provides crucial visibility for security, governance, and AI teams into both authorized and unauthorized AI activities across various environments, including SaaS applications, cloud services, endpoints, and code, encompassing aspects such as prompts, responses, and agent behaviors. The AI Security feature enhances the organization's security posture by pinpointing vulnerabilities and implementing real-time safeguards against potential threats and misuse. Meanwhile, AI Governance ensures compliance with security standards and regulatory mandates by offering opt-in coverage and allowing policy controls to be articulated in natural language. Additionally, AI Orchestration streamlines the process of deploying agents and Multi-Cloud Platforms (MCPs), while optimizing for cost, accuracy, and latency. The AI ROI component facilitates the measurement of adoption, the establishment of objectives, and the tracking of results across various departments within the organization. Furthermore, the Onyx Guardian Agent functions as an overseeing AI, perpetually identifying risks and resolving issues throughout the platform, thereby enabling organizations to effectively manage a large number of agents seamlessly. Ultimately, Onyx empowers businesses to harness the full potential of AI while maintaining control and oversight. -
16
Kana
Kana
Kana is an innovative marketing platform that empowers teams to convert disjointed marketing data into timely decisions and quantifiable business results. By integrating data throughout the marketing landscape, it consolidates information that is typically scattered across various tools and uncovers emerging patterns, risks, behavioral cues, and opportunities. The platform provides recommendations and implements next-best actions, eliminating the need for manual speculations with decisions grounded in data aimed at enhancing performance. Serving as a marketing operating layer, Kana interfaces with email services, advertising platforms, CRMs, spreadsheets, and other software, utilizing AI agents to synchronize data and actions seamlessly. Unlike traditional generative AI that merely responds to user queries, its agents are designed to pursue objectives, orchestrate complex workflows, analyze signals in real-time, and carry out actions throughout the marketing infrastructure, thus enabling a more cohesive and efficient marketing strategy. This holistic approach ensures that teams can navigate their marketing efforts with greater agility and insight. -
17
Vocalcom
Vocalcom
AI-Powered Cloud Contact Center Solution. It powers innovative, personality-based routing. It also manages multichannel customer interactions in one conversation. Vocalcom is the world of digital engagement and artificial Intelligence (AI), where live agents are seamlessly integrated into the customer interaction flow. All customer interactions can be managed in one conversation. The new generation of cloud contact centre platform that integrates with existing systems and supports ALL channels. Vocalcom's intuitive user interface increases productivity and allows companies to weave all of their customer interactions across all channels into continuous conversation threads. This allows them to reduce customer effort while strengthening customer relationships with each interaction. Amazingly simple, adaptable, and powered by AI Keep the conversation going. All customer interactions, including chat, email, text message, phone, and social media, are available in one place. -
18
NVIDIA NGC
NVIDIA
NVIDIA GPU Cloud (NGC) serves as a cloud platform that harnesses GPU acceleration for deep learning and scientific computations. It offers a comprehensive catalog of fully integrated containers for deep learning frameworks designed to optimize performance on NVIDIA GPUs, whether in single or multi-GPU setups. Additionally, the NVIDIA train, adapt, and optimize (TAO) platform streamlines the process of developing enterprise AI applications by facilitating quick model adaptation and refinement. Through a user-friendly guided workflow, organizations can fine-tune pre-trained models with their unique datasets, enabling them to create precise AI models in mere hours instead of the traditional months, thereby reducing the necessity for extensive training periods and specialized AI knowledge. If you're eager to dive into the world of containers and models on NGC, you’ve found the ideal starting point. Furthermore, NGC's Private Registries empower users to securely manage and deploy their proprietary assets, enhancing their AI development journey. -
19
ArangoDB
ArangoDB
Store data in its native format for graph, document, and search purposes. Leverage a comprehensive query language that allows for rich access to this data. Map the data directly to the database and interact with it through optimal methods tailored for specific tasks, such as traversals, joins, searches, rankings, geospatial queries, and aggregations. Experience the benefits of polyglot persistence without incurring additional costs. Design, scale, and modify your architectures with ease to accommodate evolving requirements, all while minimizing effort. Merge the adaptability of JSON with advanced semantic search and graph technologies, enabling the extraction of features even from extensive datasets, thereby enhancing data analysis capabilities. This combination opens up new possibilities for handling complex data scenarios efficiently. -
20
Claravine
Claravine
Claravine is changing the way global enterprises view data integrity. The Data Standards Cloud allows teams to connect, standardize, and control data across their organization. Claravine is used by leading brands to increase their control and ownership of their data, allowing them to make better decisions, provide better customer experiences, and increase ROI. -
21
StackState
StackState
StackState's Topology & Relationship-Based Observability platform allows you to manage your dynamic IT environment more effectively. It unifies performance data from existing monitoring tools and creates a single topology. This platform allows you to: 1. 80% Reduced MTTR by identifying the root cause of the problem and alerting the appropriate teams with the correct information. 2. 65% Less Outages: Through real-time unified observation and more planned planning. 3. 3.3.2. 3x faster releases: Developers are given more time to implement the software. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo -
22
Cresta
Cresta
Transform team effectiveness dramatically by utilizing live prompts that suggest the ideal responses for every customer interaction. Within every team, certain individuals consistently demonstrate greater productivity and efficiency than others. Cresta’s advanced AI technology identifies the unique strategies employed by these high achievers and provides real-time coaching to disseminate these best practices throughout the team. The outcome? A subject matter expert present at every customer interaction. Cresta's robust AI system continuously learns and refines its approach across various channels and scenarios to enhance team performance. Significantly boost compliance and overall team efficiency with immediate support and tailored coaching derived from insights from your top performers. By analyzing every conversation, Cresta monitors agent performance and reveals coaching opportunities, enabling managers to focus more on nurturing talent rather than merely reviewing transcripts. This innovative approach ensures that every team member can tap into the collective wisdom of their highest-performing colleagues. -
23
Big Sofa Technologies
Big Sofa Technologies
Video serves as an unfiltered reflection of reality. Our advanced technology enables the discovery and comprehension of genuine human behaviors and experiences, revealing opportunities for transformative design, communication, and innovation within businesses. We convert video footage from everyday environments into valuable data and content that fosters empathy. By engaging with real-life scenarios, our Lifestream methodology eliminates researcher biases and traditional facility limitations, introducing an unprecedented data source that reveals hidden insights from consumers' lives in almost real-time. The complexity of everyday life is mirrored in the subconscious nature of human actions, which are often habitual. Lifestream offers a unique perspective into unmediated daily experiences and behaviors, allowing for a clearer understanding of human interactions. Our innovative mobile capture techniques invite you to accompany consumers on their journeys, immersing you in authentic moments that unfold in their routines. This approach not only enhances understanding but also fosters deeper connections with the audience. -
24
Verint AI Blueprint
Verint
It is easy to get lost in the shuffle of AI trends and buzzwords. You need a map to help you navigate the world of AI. Your company must know how automation can best benefit your bottom line, employees productivity, and the customer experience. Verint AI Blueprint™ allows you to determine which conversational AI use case will generate immediate ROI and long-term enterprise value. AI Blueprint, which is a team of experts from Verint, generates a roadmap to ensure your automation's continued success and improvement. It also highlights business opportunities based upon your customers' data. AI Blueprint will help you navigate the process of building enterprise-grade chatbots and conversational AI. While it's easy to believe in AI, without proper planning, you run the risk of launching conversational AI initiatives that don't address your customers' needs. -
25
During periods of significant global economic disruption, executive teams are compelled to quickly reevaluate their strategies, priorities, and areas of emphasis. While some may choose to adopt a more conservative stance, others might recognize an unexpected yet distinctive opportunity to foster positive transformation within their organizations. Presently, there exists an unparalleled opportunity to reshape enterprises; this includes integrating new, agile operational methods, enhancing innovation, and improving customer interactions, all while uncovering fresh revenue streams, cutting costs, and possibly executing these changes on a larger scale than ever before. The Capgemini Intelligent Automation Platform stands out as a specially designed, plug-and-play solution that facilitates the efficient delivery of IT, application services, and business operations, ensuring that intelligent automation reaches its fullest potential so businesses can derive maximum value throughout their operations effortlessly and at scale. The CIAP transitions organizations from a narrow, operations-centric view of automation to a comprehensive, enterprise-wide implementation strategy, allowing for greater effectiveness and efficiency across all functions. Through this transformation, companies can not only adapt to current challenges but also position themselves for future success and resilience.
