Find and compare the best Artificial Intelligence software for Anthropic in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Anthropic on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Ask Sage
BigBear.ai
Ask Sage is a robust generative AI platform designed for government, defense, and regulated entities that require the handling of sensitive information within mission-critical workflows. It offers a single multimodal workspace that integrates over 150 different models, including commercial, frontier, and open-source options, and facilitates the generation and analysis of text, code, images, videos, and audio, enabling flexibility without binding teams to a sole provider. Users can input their organizational data just once and leverage it across multiple models for various tasks such as grounded document Q&A, drafting, summarization, knowledge management, policy validation, data analysis, and outputs tailored to specific roles. The platform features Ask Sage Chat, which provides a conversational interface, while Workbook consolidates sources, memos, shared chat histories, and team collaboration into a unified document-oriented space. Furthermore, Agent Builder offers a visual, node-based canvas that allows users to create, preview, reuse, monitor, and orchestrate automated workflows without requiring coding skills, promoting accessibility for all team members. This comprehensive approach streamlines processes and enhances productivity across diverse organizational functions. -
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Cloudgov.ai
Cloudgov.ai
Cloudgov.ai serves as an intelligent AI-driven FinOps platform designed for ongoing management of costs and policy adherence across various environments, including cloud, multicloud, data systems, containers, and artificial intelligence. By integrating major platforms such as AWS, Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, Kubernetes, OpenAI, Anthropic, and Gemini into a unified control panel, it enables teams to monitor expenses, allocation, policies, and associated risks in real time. Its Continuous Multicloud Observability feature links accounts, reviews past expenditures, categorizes costs based on region, account, and service, and projects future spending based on historical data. With AI-generated insights, the platform uncovers areas of waste and potential optimization, and its anomaly detection functionality alerts users to unexpected spikes in spending along with their financial implications. Furthermore, it provides ready-to-use Infrastructure as Code snippets for remediation, which allows engineering teams to implement suggested adjustments seamlessly, and integrates with Jira to convert insights and anomalies into actionable tasks for team members, thereby streamlining the workflow for cost management. Overall, Cloudgov.ai empowers organizations to maintain financial control while enhancing efficiency across their cloud operations. -
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Waterfall
Waterfall
$20 per monthWaterfall serves as a credit infrastructure tailored for platforms that leverage large language models, enabling the transformation of AI applications into profitable business ventures without the need for teams to develop a proprietary billing system. It offers each user, agent, or team a credit wallet secured by stablecoins, meticulously tracking every model interaction based on provider, model, token count, and associated costs. Users can either route their requests through the Waterfall Gateway or utilize TypeScript and Python SDKs for integration, ensuring that usage is accurately attributed to the appropriate wallet in real time. Each API request is settled instantly against the wallet, leading to a decrease in credits while allowing for immediate revenue recognition for every request, eliminating the delays associated with traditional invoicing and manual accounting processes. With support for over 300 models from various providers, including OpenAI, Anthropic, DeepSeek, and xAI, Waterfall enables products to seamlessly deploy multiple AI services while managing a unified accounting framework. This innovative approach simplifies financial management for AI-driven applications, making it easier for businesses to scale their operations efficiently. -
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FinOps LLM
FinOps LLM
$1,500 per monthFinOps LLM serves as an advanced platform for AI cost management and observability, specifically designed for engineering teams utilizing production GenAI. It enables transparency in token expenditures across a variety of providers such as OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, and Groq, while also aligning internal usage data with invoices from these providers. Users can filter token-level expenses based on provider, model, feature, team, customer, environment, and other custom metrics, ensuring that each dollar spent has a designated owner. Additionally, the platform includes attribution and chargeback functionalities that correlate usage with product interfaces and customer demographics, facilitating showback processes and allowing for data exports to systems like NetSuite, QuickBooks, CSV, or through APIs. Furthermore, real-time anomaly detection features track spending, latency, and quality, comparing them against dynamic feature baselines, and issue alerts via Slack, PagerDuty, email, or webhooks whenever notable changes occur. To further enhance cost control, optional budget enforcement and auto-throttling measures can prevent excessive spending due to runaway agents, excessive retries, or unexpected model shifts. This comprehensive approach ensures that engineering teams can manage their AI resources effectively while maintaining financial oversight. -
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DeskFerry
DeskFerry
$19 per monthDeskFerry serves as an intuitive platform designed for assembling an AI team simply by articulating your needs in everyday language. It generates AI agents that can seamlessly integrate with the tools your team is already familiar with, facilitating automated tasks across over 1,500 applications without the necessity of coding. These agents possess the capability to read, write, and interact with various services, including Gmail, Slack, Notion, Salesforce, HubSpot, Jira, and Stripe, among others, while users have the option to select from a variety of AI models provided by OpenAI, Anthropic, Google, xAI, and more. Teams can customize agent skills to align with their brand voice, create branded materials, and organize outputs in appropriate tools and formats. Additionally, the platform features scheduling and trigger functions that support automations running on an hourly, daily, or weekly basis, or in response to events within connected applications. To enhance security and oversight, human-in-the-loop mechanisms can be implemented, requiring approval prior to the execution of significant actions, such as sending emails or updating records. Users can enrich the platform's knowledge base by incorporating documents, databases, and URLs, while a memory feature enables automations to remember previous interactions and preferences over time, ensuring a more personalized user experience. This combination of functionality and ease of use makes DeskFerry a valuable asset for teams looking to leverage AI in their workflows. -
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Keenable
Keenable
Keenable operates as a standalone web search infrastructure tailored for AI laboratories, inference frameworks, agents, and developers seeking quick and reliable access to real-time web content. The Search API equips AI entities with an extensive index comprising over 100 billion documents, specifically designed for rapid retrieval with performance fine-tuned for demanding production agent tasks. Agents are enabled to search through web pages and obtain page content via a REST API, MCP server, or command-line interface, all under a single account and API key. Continuously striving for excellence, Keenable assesses and enhances search quality through its NEEDLE benchmark, which evaluates retrieval efficiency across various search providers and aligns results with an oracle ranking derived from aggregated outcomes. For expansive AI tasks, the platform offers dedicated search capacity alongside options for cloud and on-premises deployment. Additionally, its Time Machine feature enhances retrieval capabilities by allowing users to conduct searches across historical webpage versions, offering a comprehensive view of past content. This dual focus on current and historical data positions Keenable as a versatile tool for modern AI applications. -
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Junior JR3
Junior
Junior JR3 is a platform centered around artificial intelligence, designed specifically for the creation, evaluation, and research of legal documents within Microsoft Word and Google Docs. Featuring a document library, it offers tailored workflows, playbooks, skills, sequences, and regulations suited to various legal document categories, empowering firms to incorporate their unique standards, previous work, and specific drafting styles. The architecture of JR3 integrates AI repositories, prompt libraries, agents, writing styles, and training datasets above the core models, enabling teams to seamlessly utilize OpenAI, Anthropic, Google Gemini, or custom models while easily transitioning between them without the need to reconstruct workflows. For those engaged in patent and trademark matters, JR3 provides direct access to real-time data from the USPTO, WIPO, EPO, and both federal and state case law. Additionally, the platform's functionalities encompass support for Office Action responses, drafting tailored to examiners, patent searches, claim charting, appeal briefs, opinion letters, legal memoranda, assignments, NDAs, and several other essential legal documents, ensuring that legal professionals can efficiently manage their tasks. This comprehensive approach not only enhances productivity but also allows for greater accuracy in legal documentation. -
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telemetry.dev
telemetry.dev
$0/month telemetry.dev serves as an observability platform that is fully integrated with OpenTelemetry, specifically designed for AI agents and applications involving large language models. It enables developers to monitor various elements such as model calls, tool steps, retrievals, logs, and metrics, while also allowing them to analyze issues relating to failures, latency, token consumption, and projected expenses. Additionally, users can draw comparisons across different models, providers, and environments to gain deeper insights into performance. The platform features native support for TypeScript and Python SDKs, along with integrations for various providers and frameworks, as well as standard OTLP/HTTP ingestion methods. To enhance data privacy and security, it incorporates environment-specific capture controls, SDK masking, and server-side redaction, ensuring that teams can effectively manage the sensitive content associated with prompts, responses, and telemetry data. This comprehensive functionality enables organizations to optimize their AI applications and ensure robust observability across their operations. -
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MagiCrew
MagiCrew
$9.99/month MagiCrew serves as a platform that utilizes AI agents to streamline workflows for individuals, teams, and organizations eager to enhance their productivity through AI collaboration. Users are empowered to design and implement digital workers that can be reused, integrate specialized agents for various tasks, and develop tailored skills to meet their needs. The platform facilitates a wide range of functions, including research, document analysis, content creation, and the generation of reports, presentations, spreadsheets, and dashboards, ensuring that all outputs are suitable for business applications. Additionally, its team features support collaborative projects, allow for the reuse of knowledge across the organization, enable budget monitoring by department, user, or task, and include approval processes for actions deemed higher-risk. MagiCrew also offers the ability to connect different business systems by transforming internal tools and expertise into reusable agents, while enterprises can access deeper integrations and private deployment options. Customers have the flexibility to choose between a hosted cloud service or the community edition, which can be operated on their own infrastructure. This innovative product is tailored for solo entrepreneurs, small teams, developers, and large enterprises that are embracing AI-assisted workflows to optimize their operations. With its comprehensive offerings, MagiCrew is set to revolutionize the way organizations leverage AI technology for enhanced efficiency. -
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Claude Computer Use
Anthropic
Claude Computer Use is an advanced capability that allows Claude to operate directly on your computer to perform tasks across applications and files. It works by interacting with your screen, enabling actions like clicking, typing, opening programs, and navigating workflows without requiring manual input. The system prioritizes efficiency by first using direct connectors, then browser automation, and finally full screen interaction when necessary. Claude can handle tasks such as generating reports from local files, filling spreadsheets, testing applications, and navigating internal tools. Users retain control through permission prompts that must be approved before Claude accesses any application. The feature includes built-in safeguards designed to prevent risky actions and flag potential issues. It also captures screenshots to understand the interface, allowing it to adapt to different applications. However, users are advised to avoid exposing sensitive information while using the feature. Claude Computer Use is currently available in research preview and continues to evolve. Overall, it transforms Claude into an active assistant capable of executing real tasks on your machine. -
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Claude Security
Anthropic
Claude Security is an advanced AI-driven cybersecurity platform designed to help organizations detect and fix vulnerabilities in their codebases. It scans software repositories to identify security risks and uses validation processes to ensure accurate results. The platform provides detailed insights into each vulnerability, including severity, impact, and recommended fixes. It generates patch suggestions that developers can review and approve before applying changes. Claude Security integrates seamlessly into existing development workflows, allowing teams to start scanning without complex setup. It supports both full repository scans and targeted scans for specific sections of code. The system helps reduce false positives by validating findings before presenting them to users. It enables faster resolution by combining detection and remediation in a single workflow. Claude Security is available for enterprise users and supports ongoing security monitoring. It is designed to improve efficiency by reducing manual security analysis. By combining automation and AI, Claude Security helps organizations strengthen their software security posture. -
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Claude Dispatch
Anthropic
Claude Dispatch is a cross-device productivity feature that enables users to assign tasks to Claude and have them executed on their desktop environment. It maintains a single continuous conversation, allowing users to seamlessly switch between mobile and desktop while preserving context. Claude can access local files, connected apps, and plugins to complete tasks such as generating reports, organizing files, or drafting documents. Once the task is completed, results are delivered directly to the user without requiring step-by-step supervision. This functionality allows users to delegate work and focus on other priorities while Claude handles execution in the background. -
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Cherry Studio
Cherry Studio
Cherry Studio serves as a comprehensive AI assistant and cross-platform desktop application that integrates numerous AI models into one cohesive workspace compatible with Windows, macOS, and Linux. By connecting with leading model providers, it enables users to seamlessly transition between various AI services without the hassle of managing multiple applications, browser tabs, or disjointed workflows. This tool is crafted to function as a robust local AI productivity center, facilitating tasks like everyday chatting, writing, translation, research, coding assistance, document comprehension, image analysis, and multimodal AI workflows all through a single interface. Users have the capability to customize model providers, oversee assistants, organize discussions, and select different models according to their specific tasks, which makes Cherry Studio valuable for both casual users and those engaged in more intricate experimentation. Additionally, its assistant system empowers users to create, subscribe to, and oversee role-based assistants equipped with tailored prompts for various scenarios, including product management, community operations, technical support, and strategic planning, enhancing the overall user experience and efficiency. This flexibility allows individuals and teams to harness AI effectively, adapting to their unique workflows and requirements. -
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PromptUnit
PromptUnit
PromptUnit serves as an AI inference intermediary that automatically minimizes AI expenses by acting as a bridge between an application and its AI service providers, requiring no modifications to existing code. Teams simply replace the base URL while maintaining the same SDK, endpoints, response parsing, and error management, allowing PromptUnit to take care of routing, failover, cost monitoring, and quality assessment. It meticulously logs every API interaction, detailing aspects such as model, feature, user segment, token count, latency, and cost, thereby providing immediate insights into AI expenditures before any routing adjustments are implemented. In its observation mode, PromptUnit meticulously monitors traffic, shadow-classifies incoming requests, predicts potential savings, and clarifies routing choices, enabling teams to visualize exact savings prior to activating live routing. After activation, Smart Routing intelligently classifies tasks to direct each request to the most cost-effective model that meets the established quality standards. Additionally, PromptUnit incorporates features like prompt compression, token inflation protection, efficiency scoring for prompts, semantic request caching, and multi-model consensus for enhanced performance. Its comprehensive approach ensures that organizations can optimize their AI usage and manage budgets effectively. -
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Saris
Saris
Saris AI serves as a specialized platform for banks and credit unions, designed to streamline workflows in lending, compliance, and operations through automation, while ensuring that teams maintain control with secure, compliant, and auditable processes. Its advanced AI agents excel in managing complex back-office tasks that are often labor-intensive and repetitive, which can be challenging for conventional robotic process automation (RPA) tools to handle effectively. By optimizing backend functions related to lending, deposit services, collections, risk assessment, and compliance, Saris enables financial institutions to reallocate skilled personnel from monotonous operational duties to more impactful roles that benefit members, customers, and the broader community. Furthermore, Saris seamlessly integrates with existing core banking systems and loan origination platforms, allowing institutions to enhance their workflows without the need for disruptive overhauls of their existing technological frameworks. This capability not only preserves their current infrastructure but also empowers them to adapt to evolving market demands. -
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GuardionAI
GuardionAI
GuardionAI serves as an Agent and MCP Security Gateway, delivering comprehensive security for AI agents and Model Context Protocol tools that interact with enterprise data. Positioned within the execution path, it effectively identifies and redacts sensitive information, implements protective measures, and offers enhanced visibility into activities that conventional SIEM, DLP, and identity frameworks typically miss. Every action performed by agents is meticulously scrutinized, enforced, and logged at the protocol level, encompassing AI agents, LLM applications, RAG systems, chatbots, coding assistants, MCP servers, internal applications, databases, operating systems, and cloud infrastructures. GuardionAI is designed to counteract critical AI vulnerabilities including prompt injection, system overrides, web-based assaults, MCP tool tampering, malicious code execution, exposure of NSFW content, leakage of PII and credentials, unauthorized access to confidential data, off-topic drift, and breaches of access control, all aligned with the OWASP LLM Top 10 and agentic AI threat frameworks. Notably, the gateway offers a robust four-layer protection system, ensuring that organizations can safeguard their AI assets more effectively than ever before. This multifaceted approach not only enhances security but also empowers teams with the insights needed to navigate the complexities of modern AI environments. -
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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. -
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Puter.js
Puter Technologies Inc.
Puter.js serves as the backend for applications powered by AI, enabling you to leverage your current AI coding tool to develop fully functional apps while reducing AI token usage by as much as 90%. This comprehensive JavaScript library integrates features such as authentication, cloud storage, databases, and support for various AI models including OpenAI, Claude, Gemini, Grok, Kimi, and DeepSeek, all without the need for API keys or complex setup processes. With its streamlined approach, you can focus on creating innovative applications more efficiently. -
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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. -
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Arato.ai
Arato.ai
Arato.ai serves as a comprehensive platform for the development of structured, dependable, and production-ready large language models (LLMs), aimed at empowering teams to confidently create, assess, and expand generative AI applications. While it is designed to handle intricate systems, Arato simplifies the process by seamlessly integrating with any LLM stack and connecting to existing AI applications without the need for rewrites, extensive setup, or intricate integrations. This platform allows teams to simulate multi-modal user experiences through text, voice, data, or images, enabling them to evaluate AI behavior prior to customer interaction and ensure alignment with AI regulatory standards such as the EU AI Act and ISO/IEC 42001. One of Arato's standout features, Arato Simulate, functions as a black-box simulation tool that emulates realistic user traffic to rigorously test AI applications for accuracy, security, compliance, costs, and user experience, all assessed based on their business impact. By identifying issues that traditional testing methods often overlook—such as multi-turn conversations, edge cases, adversarial situations, persona-specific shortcomings, and large-scale challenges—Arato enhances the reliability and effectiveness of AI applications. Ultimately, this innovative platform not only streamlines the development process but also ensures that AI solutions are robust and ready for real-world deployment. -
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Salesmotion
Salesmotion
Salesmotion is an innovative account intelligence platform designed for revenue teams that transforms buying signals into a comprehensive sales pipeline. Operating continuously, its AI agents diligently analyze every account within a territory, uncovering buying signals, equipping sales representatives with in-depth insights, and composing pertinent outreach messages directly in the tools they utilize. Rather than juggling multiple resources like ChatGPT, spreadsheets, browser tabs, and various data tools, Salesmotion streamlines the process with specialized account intelligence agents tailored to the actual workflows of sales teams. The platform operates through a three-step process consisting of the Signal Agent, Research Agent, and Outreach Agent. The Signal Agent tirelessly scans over 1,000 sources around the clock, including news articles, earnings calls, SEC filings, job postings, leadership transitions, funding rounds, mergers and acquisitions, podcasts, company websites, and press releases, promptly identifying and presenting the most relevant signals and significant events as they occur. This proactive approach ensures that sales teams are always equipped with timely information, allowing them to make informed decisions and engage effectively with potential clients. -
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UnoRouter
UnoRouter
Free tier, usage-basedUnoRouter serves as a versatile gateway for accessing various OpenAI-compatible language models. With a single API key, users can unleash over 200 models from multiple providers including OpenAI, Anthropic, Google, and others, seamlessly integrating coding agents like Claude Code, Cline, Codex, and Kilo Code. By simply directing any OpenAI SDK to the designated base URL, users can effortlessly switch between models without needing to modify their existing code. Additionally, UnoRouter features an integrated chat and character client, which supports personas, lorebooks, and the import of SillyTavern cards, all accessible with the same API key. The platform operates on a usage-based pricing model that includes a free tier, ensuring users have access to live updates on model availability and pricing. This innovative approach simplifies the process of utilizing multiple AI models for various applications. -
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Constellation Gate AI
Constellation Gate AI
Constellation Gate AI serves as an auxiliary defense mechanism for AI agents, positioned strategically between the agent and the model to filter all requests for potential threats and data leaks. This solution functions as an inline gateway for coding agents and model APIs, ensuring protection of workflows while eliminating the need for significant code modifications. Users can direct existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode to utilize Gate, thereby gaining access to defenses against prompt injection, secret detection, PII redaction, token optimization, and a reliable audit trail. The platform specifically addresses three critical vulnerabilities: prompt injection attacks, leakage of credentials and PII, and unauthorized tool calls. Rather than depending on the model's self-defense mechanisms, Gate preemptively intercepts attacks before they penetrate the model, removes sensitive information prior to the return of responses, and prevents outputs from compromised tools before an agent can act on them. Gate is compatible with the existing calls made by agents, relaying them to the model while meticulously scanning each request and response in both directions, ensuring comprehensive protection against emerging threats. This proactive approach not only enhances security but also instills confidence in users about the integrity and safety of their AI workflows. -
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Parity Layer
Parity Layer
The Parity Layer serves as a straightforward addition to the SDKs provided by OpenAI, Anthropic, and Google. This innovative layer enhances a more cost-effective model to either match or exceed the performance of your existing model on the production prompts you use, ensuring validation before any transition occurs, and allows for immediate reversion to your original model if there are any quality concerns. Teams can achieve a reduction of 30-60% in AI API expenses without sacrificing quality. Users can obtain the first proof in just one day, and up to ten prompts can be tested for free without the need for a credit card. It is important to note that this solution is not designed for use with coding agents and focuses primarily on optimizing existing models. -
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Pioneer
Pioneer.ai
Pioneer serves as an inference API designed for developers who prioritize deployment over managing a GPU cluster. This tool allows teams to connect an existing client, such as OpenAI or Anthropic, to Pioneer, enabling them to maintain their API and code while performing inference seamlessly, all while Pioneer identifies areas where the current model may be lacking. It intelligently groups production traffic based on use cases, highlights opportunities for enhancement in accuracy, latency, or cost, and automatically creates and directs requests to specialized models. Through its continuous improvement mechanism known as Adaptive Inference, Pioneer analyzes real-time production failures to extract valuable examples, retrains a tailored model, assesses the updated checkpoint, and implements enhancements without necessitating any redeployment, all while maintaining access through the same endpoint. Additionally, Pioneer accommodates encoder models for tasks that require structured extraction, including named entity recognition, text classification, structured JSON extraction, privacy filtering, and safety classification, as well as decoder models that facilitate text generation, classification, and open-ended prompting. As a result, developers can optimize their workflows and enhance model performance with minimal hassle.
