Business Software for Anthropic

Kilo Gateway serves as a versatile AI inference conduit, allowing developers to send Large Language Model (LLM) requests to various providers via a single, standardized endpoint, thus granting them access to a multitude of hosted and open models without the need to modify their applications for different services. It offers seamless access to models from well-known providers, including Anthropic, OpenAI, and Mistral, and accommodates bring-your-own-key setups that empower teams to utilize their existing provider credentials within a centralized framework. The gateway is designed to work with standard AI SDKs, enabling developers to switch providers effortlessly while maintaining the same integration surface. By managing routing intricacies and load balancing between direct providers and external gateways, it enhances system availability and resilience. Additionally, the Auto Model feature intelligently directs each request to the most suitable model, ensuring that routing choices, model performance, and usage metrics remain transparent and manageable for users. This not only streamlines the development process but also provides flexibility as the landscape of AI models continues to evolve.

VibeView is a cloud-based simulator accessible through browsers on iOS, Android, Apple TV, and Android TV, featuring real-time connection capabilities, AI-driven mobile app testing, an SDK that can be embedded into devices, and the ability to generate instantly shareable app previews. This innovative tool empowers developers, QA teams, and product managers to execute mobile applications directly from their browsers, eliminating the need for a Mac, Xcode, Android Studio, or physical devices. Users can simply upload their iOS or Android builds and within moments, stream a live simulator, sharing links that allow teammates, clients, beta testers, or sales prospects to engage with the app immediately—without requiring any installations, TestFlight, or provisioning profiles. Additionally, VibeView serves as a versatile development tool as well, where executing the command vibeview dev allows your React Native application to stream to a browser simulator with complete hot reload capabilities—enabling immediate feedback on code edits made locally, all without the necessity of a Mac, Xcode, Android Studio, or a physical device. As a result, both testing and development processes become streamlined and more efficient, enhancing collaboration and productivity.

Rune is an efficient, keyboard-centric integrated development environment designed for advanced users, seamlessly integrating code, terminals, command-line tools, language intelligence, debugging capabilities, and AI agents within a flexible, multi-workspace framework. Adhering to the Unix philosophy, it ensures that robust development resources are readily accessible, avoiding the need for a mouse-based workflow. The IDE features three distinct editing modes: a standard editor aimed at users familiar with VS Code, Cursor, or Sublime; a modal editing option for Vim and Neovim enthusiasts; and an Emacs-style interface, with consistent keybindings across the platform. Workspaces are designed to amalgamate files, terminals, tasks, debugging tools, search functionalities, and language intelligence, capable of operating both locally and on remote servers. Rune Agent operates within the same workspace as the code, enabling it to read and modify files, search through the codebase, execute commands, utilize various tools, and engage in comprehensive dialogues. Moreover, it offers support for a range of AI models including OpenAI, Codex, Anthropic, Claude, Gemini, Amazon Bedrock, local models, and custom OpenAI-compatible endpoints, enhancing its versatility for developers. This combination of features makes Rune a powerful ally for programmers looking to streamline their development processes.

OmniSEO is an innovative platform that utilizes AI to enhance search visibility for brands by enabling them to track, assess, and refine their presence across various AI-driven search engines such as ChatGPT, Google AI Overviews, Claude, Perplexity, Gemini, Copilot, and Meta AI, among others. The Prompt Research feature is designed to help brands pinpoint valuable questions to target by displaying prompts they currently rank for, showcasing competitors that appear alongside them, and providing insights into the volume of prompt queries so teams can focus on the most promising topics. Additionally, Prompt Tracking keeps an eye on how brands are discovered through specific conversational queries, highlighting visibility trends, mentions, citations, and fluctuations over time. The Competitor Analysis tool serves as a benchmark for evaluating AI search presence and share of voice against industry competitors, revealing gaps in coverage and identifying areas where rivals may excel. Furthermore, Citation Tracking meticulously tracks when and where large language models reference a brand's content, identifies the domains and URLs that influence AI-generated answers, and uncovers new opportunities to enhance visibility and drive traffic effectively. This comprehensive approach ensures that brands remain competitive in the rapidly evolving landscape of AI search.

Snowflake CoCo is an AI coding assistant that simplifies intricate data engineering, analytics, machine learning, and AI workflows through intuitive conversations. It possesses a deep understanding of enterprise-level contexts, including data catalogs, lineage, role-based access control (RBAC) policies, computational resources, and pipeline interdependencies, ensuring that the generated code accurately references real-world objects with the appropriate permissions. With CoCo, teams can efficiently identify data, construct pipelines utilizing tools like dbt, Apache Airflow, Postgres, Spark, and AWS Glue, as well as produce executable machine learning pipelines for Snowflake Notebooks and develop applications and AI agents that are rooted in enterprise data. Its toolkit incorporates specialized features tailored for Snowflake, such as semantic catalog searches, data comparison tools, and isolated runtime environments, avoiding reliance on generic code wrappers. For handling intricate, multi-step processes, CoCo’s orchestration capability can intelligently manage sub-agents and facilitate automatic routing between models. As a desktop development platform, CoCo provides users with access to local files, terminal interfaces, and integration with Snowflake, enhancing the overall development experience for data professionals. This comprehensive approach ensures that teams can streamline their workflows while maintaining a strong focus on data security and governance.

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.

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.