Business Software for Anthropic

Experiential serves as a gateway and inference platform powered by AI, designed for developers and organizations engaged in creating AI-driven products or internal solutions. It offers a consolidated API that directs requests to various hosted model providers, accounts supplied by customers, and self-hosted or custom models, including access to OpenAI and Anthropic APIs. Teams are equipped to oversee their API keys, budgets, and usage caps, while also being able to allocate costs to specific keys or agents, track requests, and set up provider routing along with fallback options. The service features both a complimentary plan and subscription-based monthly options, with an open-source version available for self-hosting. For enterprises, additional plans introduce organizational governance and data residency capabilities, and those on paid plans benefit from model optimization tools. Furthermore, enterprise clients have the unique opportunity to commission a model that is specifically trained on their traffic data. Developers can easily link up compatible applications and coding agents by simply adjusting their API endpoints and credentials, thereby enhancing integration flexibility. This comprehensive platform ultimately streamlines the process of implementing AI functionalities within various applications.

xliff.ai serves as a web-based computer-assisted translation tool designed for freelance translators, reviewers, localization teams, and agencies engaged with various translation file formats. It allows users to open and modify XLIFF 1.2/2.0, SDLXLIFF, MQXLIFF, PO, XLSX, and CSV files directly on their local machines without the need for uploading, and it can export the modified content back into its original format. Translators can efficiently translate and assess segments, conduct 15 types of quality checks, and integrate translation memories and glossaries. The platform also offers features like concordance and find-and-replace options, along with the ability to export TMX files, bilingual or review workbooks, QA reports, and pseudo-translated documents. Additionally, the editor comes equipped with keyboard layouts tailored for Trados Studio and memoQ, along with helpful tools such as autosave and undo functionalities. For those needing AI assistance, there's an option for AI review and translation, requiring a provider API key, which ensures that text is sent to the chosen provider only during the active AI process. After installation in a compatible desktop browser, the editor can function offline, providing flexibility for users who may not always have internet access. This makes xliff.ai a versatile choice for professionals in the translation industry looking to enhance their workflow.

FirstHelm serves as a centralized control plane for managing AI agents, acting as an intermediary between your collection of agents—such as n8n, OpenAI, Anthropic, CrewAI, LangChain, Microsoft Copilot Studio, or any custom agent through REST API—and the broader ecosystem. It not only regulates the permissions of each agent but also ensures accountability by logging every action and verifying it against established rules, including budget limits, prohibited actions, and visibility into costs and tokens per mission. Actions that are deemed costly, hazardous, or irreversible require human consent before proceeding, with any unattended approvals set to expire as a safeguard against inaction. Additionally, FirstHelm features live dashboards that allow users to guide agents in real time during missions, while also producing comprehensive audit trails and compliance documentation aligned with standards such as the EU AI Act, ISO 42001, SOC 2, UK GDPR, NIST AI RMF, and FCA requirements—encompassing 38 controls that are evaluated in real-time based on your own data. This innovative solution is available under a freemium model, is adaptable to various frameworks, and originates from the UK, underscoring its commitment to regulatory compliance and user empowerment. With its user-friendly interface and robust functionality, FirstHelm aims to enhance the management and oversight of AI-driven operations.

Reflexio serves as a platform for developers focused on the creation and management of AI agents, utilizing a variety of input methods such as an SDK, REST API, CLI, or connections to supported tracing platforms to gather data from agent interactions, execution traces, tool calls, and user corrections. By identifying common failures, it generates reusable playbooks and user profiles that enhance the learning process. When an agent is in operation, it can access pertinent guidance derived from these learnings prior to formulating a response. The Hosted Enterprise portal provides teams with the capability to explore, modify, approve, reject, search, and assess the acquired knowledge effectively. Reflexio enables agents to implement necessary corrections across various interactions without needing to alter the underlying model weights. Additionally, teams have the flexibility to utilize the managed cloud service, set up their own model-provider keys, or opt for self-hosting on platforms like AWS, Google Cloud, or Azure. Furthermore, enterprise trace imports are supported from sources such as Braintrust, Langfuse Cloud, and LangSmith Cloud, while Reflexio also features a mem0 wrapper and integration with OpenClaw, thus offering a comprehensive suite of tools for enhancing agent performance. This multifaceted approach ensures that developers can optimize their AI agents while leveraging the flexibility of various deployment options.

Sprinklr is a Unified-CXM platform that enables enterprises to manage every customer interaction from a single AI-powered system. It combines marketing, social media management, customer service, and consumer insights into one cohesive platform. Sprinklr uses advanced AI to analyze unstructured data from millions of conversations to uncover actionable insights. Its AI copilots and intelligent agents help automate workflows and enhance team efficiency. Marketing teams can run compliant global campaigns while maintaining brand consistency across channels. Customer service teams benefit from omnichannel support tools and real-time context for every interaction. Sprinklr enables human-AI collaboration to deliver more empathetic and personalized experiences. The platform integrates seamlessly with existing enterprise technology stacks. Built for scale, it supports global teams with high customization and governance. Sprinklr helps organizations transform customer experience into a competitive advantage.

Openlayer is the enterprise AI governance platform for discovering, testing, monitoring, securing, and governing AI systems from development through production. Openlayer brings AI evaluation, observability, guardrails, compliance, gateway enforcement, and cost controls into one platform.

Liminal gives regulated organizations a single governed environment for AI. Rather than securing models an organization has already deployed, Liminal supplies the access itself, so protection is applied before anything reaches a provider. Employees work with leading models from Anthropic, OpenAI, Google and others through one interface, with policy-based routing and no per-provider contracts. Adding a new model becomes a policy decision rather than an integration project, and teams are never stuck waiting for procurement to catch up with what the market released. Sensitive terms are identified within each prompt and masked, redacted, flagged or blocked according to rules defined by data category rather than by department. Masked values are restored in the response, which keeps output usable while regulated information stays inside the organization. Employees never have to sanitize inputs by hand, which is what makes the governed path the one they actually choose. Administrators see who used which model, what rules were applied and where violations occurred. That record is generated at the time of the interaction, so audit requests are answered from existing evidence instead of reconstruction after the fact. Activity can be fed into existing security tooling and reviewed alongside other events rather than in isolation. The platform connects to internal systems through MCP, so employees bring organizational context into their work without moving data into tools nobody is watching. Access follows permissions that already exist. Deployments run on single-tenant infrastructure with SSO and role-based permissions, serving banking and credit unions, insurance, healthcare, education, state and local government, and life sciences.

WEM builds intelligent enterprise software — no code required. Founded in 2012 in Amsterdam, our no-code platform empowers organizations to develop applications, automate processes, and deploy governed agentic AI at speed and scale. Trusted across Europe by enterprises in financial services, government, logistics, and manufacturing, WEM delivers digital transformation through expert teams and a certified partner network.

LayerLens serves as an autonomous platform dedicated to evaluating AI models, providing insights into their performance through verified benchmarks, prompt-specific outcomes, agentic comparisons, and audit-ready assessments across different vendors. This platform enables teams to conduct side-by-side comparisons of over 200 AI models, utilizing transparent benchmarks and consistent evaluation techniques focused on accuracy, latency, behavior, and practical application in real-world scenarios. Designed for comprehensive model analysis, LayerLens features Spaces that allow teams to organize benchmarks and evaluations, identify strengths in tasks, and monitor performance trends in relevant contexts. The platform also facilitates ongoing evaluations by continuously assessing model updates, prompt modifications, judge changes, and live traces, thereby empowering teams to identify issues like quality regressions, drift, silent failures, contamination, and policy concerns before they impact production. By prioritizing transparency and collaboration, LayerLens ensures that teams can make informed decisions about their AI model choices.

AccessOwl serves as a comprehensive tool for Access Governance and SaaS management, streamlining the process of managing employee access to various SaaS applications throughout their tenure, from onboarding to offboarding. Acting as the primary platform for overseeing SaaS access, it removes the confusion about who is responsible for specific tools and what approvals are necessary, while meticulously logging every application, user access, and the permissions utilized within the organization. By automating the processes of user account creation, access requests, approvals, and audits, along with detecting Shadow IT, AccessOwl enables teams to move away from spreadsheets and establish a reliable source of truth, significantly minimizing the chances of overlooking offboarding tasks. Furthermore, its integration with Slack allows employees to conveniently request access in the environment they already use, and HRIS integrations automate the onboarding and offboarding processes while keeping employee information such as job title, department, and manager up to date. Notably, AccessOwl has the capability to provision and revoke user access across a multitude of SaaS applications without the necessity for SCIM or SAML, ensuring flexibility and ease of use for organizations. This allows for a more efficient management of software access, ultimately enhancing security and compliance efforts.

RouterBase serves as a comprehensive API gateway, allowing developers and teams to utilize over 200 AI models, including well-known options like GPT, Claude, Gemini, Llama, Mistral, and DeepSeek, all through one OpenAI-compatible endpoint. This eliminates the need for managing different keys and billing systems for each model, as switching between them is as simple as changing a single configuration line. Additionally, RouterBase enhances functionality with intelligent routing, built-in failover capabilities across various providers, and consolidated billing, ensuring that your application remains operational even in the event of an upstream provider failure. Moreover, a free tier is offered with no requirement for a credit card, making it accessible for users to explore the service. With RouterBase, developers can streamline their workflow and focus on building innovative applications without the hassle of juggling multiple integrations.

DeepInfra is a cloud-based AI inference platform designed to effortlessly execute a wide range of the latest machine learning models at scale, such as large language models, vision models, embeddings, and various forms of media generation including images and videos. The platform offers serverless inference via straightforward APIs, enabling developers to seamlessly incorporate production-ready AI models into their applications without the burden of managing GPU resources, auto-scaling, complex deployments, or model hosting logistics. Supporting OpenAI-compatible APIs allows for an easier transition from existing OpenAI-style integrations, while also providing access to an extensive library of both open-source and commercial models. With its Native API, users can access every type of model available on the platform, covering tasks such as image generation, speech recognition, object detection, token classification, fill-mask, image classification, zero-shot image classification, and text classification. DeepInfra is designed for optimal performance, ensuring scalable, low-latency inference powered by state-of-the-art GPU infrastructure, which ultimately enhances the efficiency of AI-driven applications. This focus on performance makes it an ideal choice for businesses looking to leverage advanced AI technologies.

JackHamr functions as an AI-driven software solution that manages the entire development process from start to finish. Rather than relying on a singular AI assistant, it coordinates a team of specialized agents: a specification agent formulates requirements, a planning agent divides them into tasks, a coding agent develops the software, a testing agent performs evaluations, a quality reviewer ensures standards are met, and a deployment agent launches the product. These agents operate within hosted cloud development environments utilizing tools such as VS Code, Docker, SSH, and WireGuard-encrypted networking, allowing them to continue functioning even when your laptop is closed. Communication with these agents can be conducted through push-to-talk voice chat or natural typing, making interactions seamless. GitHub integration is built-in, offering features like one-click cloning, automatic branch creation for each task, real-time commit synchronization, and the ability to create pull requests effortlessly. Users have the flexibility to utilize their own LLM keys from providers like OpenAI, Anthropic, Google, or opt for the cost-effective options available through JackHamr, with the ability to switch models during the workflow. The pricing model is pay-as-you-go with detailed billing, charging only for infrastructure costs and LLM tokens without any additional fees. To encourage new users, there is a $10 credit available at the outset, and no credit card is required for registration, allowing anyone to experiment with the platform without financial commitment. This innovative approach not only streamlines software development but also enhances collaboration among various specialists in the field.

OpenParser AI serves as a cutting-edge truth hub for organizations that handle extensive documentation, designed to consolidate information from documents, databases, and web content into a secure and unified knowledge layer. By posing a question, users can allow the AI to retrieve precise answers from their documents, databases, or websites, with each response directly linked to the specific document page, database entry, or web segment from which it originated. OpenParser enhances document management through features like straightforward document Q&A, seamless database querying without the need for SQL, comprehensive website content searches, and cross-document insights, all while ensuring role-based access and implementing document approval workflows. Additionally, it offers instant validation and generates structured outputs that teams can efficiently act upon. Users have the flexibility to upload documents or link to platforms like Google Drive, SharePoint, SQL databases, and website URLs, with an auto-sync feature that keeps all information up to date. The OpenParser AI Engine is capable of comprehensively analyzing and reasoning through all available data, utilizing Llama by default or allowing integration with the user's preferred LLM, which can include options such as OpenAI, Anthropic, Gemini, and others. This powerful combination ensures that teams have access to the most relevant information in real-time, ultimately improving decision-making processes and operational efficiency.

Flo2 serves as a gateway and router that connects users to leading AI model providers such as OpenAI, Anthropic, Groq, Cerebras, and DeepInfra via a single, unified API that is compatible with OpenAI. It intelligently selects the most cost-effective or quickest model for each request through smart routing capabilities. To ensure reliability, automatic fallback mechanisms maintain application functionality even if one provider experiences downtime. Additionally, racing mode allows for simultaneous processing of requests across multiple providers, enhancing efficiency. Comprehensive cost tracking is available, detailing expenses for each request, model, and project. Developers are able to utilize their own provider keys on flo2.com, and RapidAPI's testing tier offers free tokens for preliminary evaluations. This seamless integration is aimed at simplifying the development process while maximizing performance and minimizing costs.

Claude for K-12 teachers is designed to help educators reconnect with their passion for teaching by minimizing the time allotted to planning, preparation, and paperwork, enabling a greater focus on their students' needs. Tailored specifically for K-12 educators, Claude can quickly generate a variety of materials such as lessons, quizzes, assessments, student resources, presentations, emails, newsletters, and customized resources for different learning levels, all while allowing teachers to maintain oversight and make necessary adjustments for their specific class dynamics. By integrating with Learning Commons, Claude has access to educational standards from all 50 states, ensuring that lesson plans are grounded in evidence-based curricula, including resources from organizations like Illustrative Mathematics and OpenSciEd. Educators can utilize Claude to design lessons that meet standards, revise existing materials, and create tools like do-nows, worked examples, exit tickets, and presentations, all enhanced by the connected curriculum framework that makes the outputs more applicable for the classroom environment. This innovative approach not only streamlines the preparation process but also empowers teachers to spend more meaningful time engaging with their students.

Command Code is an advanced coding assistant that operates within the terminal, enabling the creation of comprehensive full-stack applications, deploying new features, troubleshooting issues, writing test cases, and optimizing code, all while adapting to the unique workflows of individual developers. It harnesses the power of the meta neuro-symbolic taste-1 model alongside continuous reinforcement learning, interpreting every suggestion, rejection, and modification as valuable feedback, which allows it to identify and cultivate recurring preferences, structures, patterns, and tools into enduring skills and memories for each project. Rather than simply adhering to standard best practices, it assimilates developers' code review techniques, stylistic inclinations, architectural choices, as well as their preferred package managers and libraries, even those minor conventions that often go undocumented, thereby applying this contextual understanding in future interactions. Command Code is equipped with features that facilitate interactive command-line interface operations, headless prompts, automated task execution, planning capabilities, background sandboxes, customizable agents, checkpoints, and memory retention across different sessions, providing a truly personalized coding experience. This innovative tool not only streamlines the development process but also empowers developers to enhance their productivity and maintain consistency in their coding practices over time.

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.

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.

Waterfall 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.

FinOps 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.

Mongrel serves as a comprehensive desktop database systems workbench that integrates over 30 database engines, terminals, file transfers, container management, Kubernetes functionalities, and an API client into a single native application compatible with Windows, macOS, and Linux platforms. You can execute queries on various databases such as PostgreSQL, MySQL, MongoDB, SQL Server, Oracle, Redis, ClickHouse, Snowflake, BigQuery, and others using native SQL or respective engine dialects. The application allows for inline data editing, navigation through foreign keys, running EXPLAIN plans, designing schemas using a visual ER canvas, synchronizing data across different databases, and scheduling encrypted backups with ease. It replaces a multitude of tools by offering built-in SSH, Mosh, Telnet, Serial terminals, as well as SFTP and SCP file transfers, management for Docker and Podman, Kubernetes functionalities, and support for HTTP, GraphQL, WebSocket, and gRPC clients. An optional AI assistant is available, compatible with OpenAI, Anthropic, and Gemini providers, and it securely stores keys in your operating system's keychain while ensuring that all writes are subject to approval. Mongrel is designed to prioritize user privacy, ensuring that your queries, data, and logs remain exclusively on your local machine. All subscription plans provide access to every feature, and you can initiate a 7-day trial without needing to enter any payment information. Additionally, the user-friendly interface and rich functionality make it an essential tool for database management.

DeskFerry 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.

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.

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.