Business Software for Apify

Softr is the AI app builder for business operations. Build secure internal tools and portals with databases, workflow automation, and integrations included. Describe what you need and get real, working software tailored to your processes and business logic. Most teams are held back by fragmented systems: work scattered across spreadsheets, docs, messages, and tools that don't connect. Softr replaces that fragmentation with a single platform that includes: - Databases: Organize and manage all your business data in one place — track clients, manage inventory, log support tickets, and more. Link records across tables, structure and filter however you need, and use built-in AI agents to automate data entry and enrichment. - Apps: Use AI to build client portals, internal tools, CRMs, dashboards, and trackers on top of your Softr Databases or external data source — Airtable, HubSpot, SQL, and more. Control exactly what each user can see and do, with hosting, authentication, and security built in. Create custom tools, blocks, and dashboards instantly, then refine visually, set real permissions, and connect to your data without re-prompting or touching code. - Workflow Automation: Automate the processes that run your business: onboard clients, route tickets, enrich leads, send reminders, and more. Build visual, multi-step workflows that connect your apps, databases, and tools like Gmail, Slack, and Notion. - Forms: Create and publish powerful conditional forms that plug directly into your data and power workflows. Route submissions to Softr Databases or external tools, and share via link or embed anywhere — no third-party form tool needed. Over 1M teams, including Netflix, Google, Stripe, UPS, and Clay, use Softr to build and run business operations apps.

PrivateProxy delivers dedicated proxy infrastructure purpose-built for engineering teams running scraping, data collection, and automation workflows. Every IP is exclusively assigned to one client across all plan types — Residential, ISP, and Datacenter proxies in both static and rotating configurations. The network spans 195+ geographic locations with full HTTP(S) and SOCKS5 protocol support. Instant activation, a management dashboard, and API access let teams integrate proxies directly into their stack without friction. Beyond raw proxy access, the platform includes a suite of Scraping APIs targeting Google, Amazon, Bing, DuckDuckGo, Instagram, LinkedIn, Twitter/X, YouTube, and email verification. Plans feature unlimited bandwidth on static offerings, a 2-day trial, monthly free proxy swaps, and round-the-clock technical support averaging under 3 minutes to first response.

Achieve enhanced precision and control through LangGraph, enabling the creation of agents capable of efficiently managing intricate tasks. The LangGraph Platform facilitates the development and scaling of agent-driven applications. With its adaptable framework, LangGraph accommodates various control mechanisms, including single-agent, multi-agent, hierarchical, and sequential flows, effectively addressing intricate real-world challenges. Reliability is guaranteed by the straightforward integration of moderation and quality loops, which ensure agents remain focused on their objectives. Additionally, LangGraph Platform allows you to create templates for your cognitive architecture, making it simple to configure tools, prompts, and models using LangGraph Platform Assistants. Featuring inherent statefulness, LangGraph agents work in tandem with humans by drafting work for review and awaiting approval prior to executing actions. Users can easily monitor the agent’s decisions, and the "time-travel" feature enables rolling back to revisit and amend previous actions for a more accurate outcome. This flexibility ensures that the agents not only perform tasks effectively but also adapt to changing requirements and feedback.

Keboola is an open-source serverless integration hub for data/people, and AI models. We offer a cloud-based data integration platform designed to support all aspects of data extraction, cleaning and enrichment. The platform is highly collaborative and solves many of the most difficult problems associated with IT-based solutions. The seamless UI makes it easy for even novice business users to go from data acquisition to building a Python model in minutes. You should try us! You will love it!

SIGNL4 offers critical alerting, incident response and service dispatching for operating critical infrastructure. It alerts you persistently via app push, SMS text, voice calls, and email including tracking, escalation, on-call duty scheduling and collaboration.

Airbyte is a data integration platform that operates on an open-source model, aimed at assisting organizations in unifying data from diverse sources into their data lakes, warehouses, or databases. With an extensive library of over 550 ready-made connectors, it allows users to craft custom connectors with minimal coding through low-code or no-code solutions. The platform is specifically designed to facilitate the movement of large volumes of data, thereby improving artificial intelligence processes by efficiently incorporating unstructured data into vector databases such as Pinecone and Weaviate. Furthermore, Airbyte provides adaptable deployment options, which help maintain security, compliance, and governance across various data models, making it a versatile choice for modern data integration needs. This capability is essential for businesses looking to enhance their data-driven decision-making processes.

Lindy, an AI-powered assistant, is designed to streamline professional tasks. It integrates seamlessly with numerous applications including Gmail, Zoom and Twilio. It allows users to automate workflows, such as email management and customer support, scheduling and CRM data entry. Lindy's intuitive interface allows users to create AI agents within minutes, automating complex processes without coding expertise. Lindy also offers templates that can be customized to meet specific needs. For example, it is able to convert real-time interactions between clinicians and patients into accurate, comprehensive notes. Lindy allows professionals to focus on the most important aspects of their job, while ensuring that routine tasks are handled efficiently.

Postgres now features open-source vector similarity search capabilities. This allows for both exact and approximate nearest neighbor searches utilizing L2 distance, inner product, and cosine distance metrics. Additionally, this functionality enhances the database's ability to manage and analyze complex data efficiently.

Langtail is a cloud-based development tool designed to streamline the debugging, testing, deployment, and monitoring of LLM-powered applications. The platform provides a no-code interface for debugging prompts, adjusting model parameters, and conducting thorough LLM tests to prevent unexpected behavior when prompts or models are updated. Langtail is tailored for LLM testing, including chatbot evaluations and ensuring reliable AI test prompts. Key features of Langtail allow teams to: • Perform in-depth testing of LLM models to identify and resolve issues before production deployment. • Easily deploy prompts as API endpoints for smooth integration into workflows. • Track model performance in real-time to maintain consistent results in production environments. • Implement advanced AI firewall functionality to control and protect AI interactions. Langtail is the go-to solution for teams aiming to maintain the quality, reliability, and security of their AI and LLM-based applications.

Mastra is an open-source TypeScript framework that allows developers to build AI agents capable of performing tasks, managing knowledge, and retaining memory across interactions. With a clean and intuitive API, Mastra simplifies the creation of complex agent workflows, enabling real-time task execution and seamless integration with machine learning models like GPT-4. The framework supports task orchestration, agent memory, and knowledge management, making it ideal for applications in automation, personalized services, and complex systems.

The OpenAI Agents SDK allows developers to create agent-based AI applications in a streamlined and user-friendly manner, minimizing unnecessary complexities. This SDK serves as a polished enhancement of our earlier agent experimentation project, Swarm. It features a concise set of core components: agents, which are large language models (LLMs) with specific instructions and tools; handoffs, which facilitate task delegation among agents; and guardrails, which ensure that agent inputs are properly validated. By leveraging Python alongside these components, users can craft intricate interactions between tools and agents, making it feasible to develop practical applications without encountering a steep learning curve. Furthermore, the SDK includes integrated tracing capabilities that enable users to visualize, debug, and assess their agent workflows, as well as refine models tailored to their specific needs. This combination of features makes the Agents SDK an invaluable resource for developers aiming to harness the power of AI effectively.

AI Workers are independent agents crafted specifically for your organization; these advanced AI entities function like genuine colleagues rather than mere chatbots awaiting instructions. Each comes equipped with its own professional identity, including an email, phone number, and presence on platforms like Slack and Teams, demonstrating initiative and the capacity to operate around the clock without needing prompts. Rather than dictating every detail of their tasks, you simply define the objectives, and they autonomously develop the necessary workflows, accommodating a variety of tasks such as generating daily reports, conducting weekly follow-ups, managing CRM updates, handling client interactions, performing research, overseeing content creation, executing finance responsibilities, coordinating HR activities, supporting design projects, and assisting with development operations. This system includes a diverse range of specialized AI Workers tailored for functions in marketing, development, design, HR, finance, and more, with each worker crafted for a specific role and practical applications. Furthermore, AI Workers can integrate seamlessly with over 3,000 tools, such as Slack, Microsoft Teams, Gmail, Notion, HubSpot, Salesforce, and various other business applications, ensuring they fit effortlessly into your existing workflows. Their versatility and adaptability make them an invaluable asset for enhancing productivity and streamlining processes in any business environment.

Odella serves as a platform designed for the creation and oversight of AI Employees that perform tangible tasks within your organization. Teams have the option to either recruit specialized AI Employees from a dedicated marketplace or create their own, linking them to essential business tools, defining explicit roles and responsibilities, scheduling their working hours, and streamlining repetitive tasks through automation. Each AI Employee adapts to understand how your tools, systems, processes, branding, terminology, and operational methods interconnect, subsequently leveraging that understanding to generate outputs tailored to your business needs. These AI Workers accumulate preferences, receive feedback, make decisions, and gather client context, which enhances their performance over time. Every action they take is recorded and can be reviewed, providing transparency through workflow visibility, audit trails, and checkpoints involving human oversight for significant decisions. Additionally, these employees can react to event-driven prompts, manage lengthy tasks in the background, and integrate seamlessly with CRMs, email, Slack, spreadsheets, project management tools, financial systems, bespoke software, and common communication channels. Ultimately, Odella empowers organizations to harness the potential of AI in a structured and effective manner, ensuring continuous improvement and adaptability in their operations.

We are an intelligent HelpDesk. We will optimize your management processes, increase productivity of your team, and increase the efficiency in your support. Your customers will have more options by opening tickets from different devices. You have more control over how you configure your customers' SLA. The inventory management app can be used to monitor and control the entire equipment park of customers. You can increase the productivity of your technical support staff with intelligent and automated inventory management. Optimize your customer relationship and management! Receive alerts about key machine features via your dashboard. Automation, workflow and ticket triggers. Password Vault, satisfaction survey and ticket scheduling. Follow customer, service catalog, follow tickets, ticket conference, advanced dashboard.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Qdrant serves as a sophisticated vector similarity engine and database, functioning as an API service that enables the search for the closest high-dimensional vectors. By utilizing Qdrant, users can transform embeddings or neural network encoders into comprehensive applications designed for matching, searching, recommending, and far more. It also offers an OpenAPI v3 specification, which facilitates the generation of client libraries in virtually any programming language, along with pre-built clients for Python and other languages that come with enhanced features. One of its standout features is a distinct custom adaptation of the HNSW algorithm used for Approximate Nearest Neighbor Search, which allows for lightning-fast searches while enabling the application of search filters without diminishing the quality of the results. Furthermore, Qdrant supports additional payload data tied to vectors, enabling not only the storage of this payload but also the ability to filter search outcomes based on the values contained within that payload. This capability enhances the overall versatility of search operations, making it an invaluable tool for developers and data scientists alike.

Motileo is an innovative platform focused on enhancing sales performance and fostering team engagement through gamification, which reimagines routine business activities and key performance indicators (KPIs) as engaging and competitive experiences aimed at boosting productivity and outcomes. By integrating seamlessly with existing tools like CRM systems, it automatically gathers essential performance metrics such as calls made, meetings scheduled, deals finalized, and revenue earned, transforming these figures into dynamic competitions, achievements, and progress tracking for both individuals and entire teams. Moreover, Motileo incorporates game-inspired mechanics into the work environment, recasting targets as accomplishments, milestones, and missions that lead employees toward quantifiable results while maintaining their involvement in the process. Teams have the opportunity to engage in tailored competitions or direct challenges that cultivate a spirit of friendly competition and promote ongoing effort, all while automated recognition features grant participants points or coins that can be exchanged for rewards. This unique approach not only motivates employees but also enhances collaboration and camaraderie among team members, making work more enjoyable and productive.

The Apigene MCP Gateway serves as the essential runtime layer that links AI agents to APIs and MCP servers via the Model Context Protocol. By presenting agent tools, context, skills, and instructions as a unified remote MCP endpoint that is fully managed and regulated, it transforms MCP into a fully-fledged native solution rather than a mere experimental tool. Apigene offers a comprehensive agent foundation layer encapsulated within a single MCP Gateway, enabling agents to connect securely with APIs and MCP servers without the need for bespoke glue code or framework-specific adaptations. Teams can effortlessly construct AI agents using conversational interfaces, specifying which APIs and MCP servers the agents can access, outlining their reasoning processes, and dictating their actions—all without writing code. Additionally, it features intelligent tool selection that effectively pairs the appropriate API or MCP tool with each request, while also allowing for multi-platform deployment across numerous environments, including ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI systems, and custom applications. This powerful integration streamlines the development process, making it easier for teams to leverage AI in their projects.

Amazon Bedrock is a comprehensive service that streamlines the development and expansion of generative AI applications by offering access to a diverse range of high-performance foundation models (FMs) from top AI organizations, including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Utilizing a unified API, developers have the opportunity to explore these models, personalize them through methods such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that can engage with various enterprise systems and data sources. As a serverless solution, Amazon Bedrock removes the complexities associated with infrastructure management, enabling the effortless incorporation of generative AI functionalities into applications while prioritizing security, privacy, and ethical AI practices. This service empowers developers to innovate rapidly, ultimately enhancing the capabilities of their applications and fostering a more dynamic tech ecosystem.

LlamaIndex serves as a versatile "data framework" designed to assist in the development of applications powered by large language models (LLMs). It enables the integration of semi-structured data from various APIs, including Slack, Salesforce, and Notion. This straightforward yet adaptable framework facilitates the connection of custom data sources to LLMs, enhancing the capabilities of your applications with essential data tools. By linking your existing data formats—such as APIs, PDFs, documents, and SQL databases—you can effectively utilize them within your LLM applications. Furthermore, you can store and index your data for various applications, ensuring seamless integration with downstream vector storage and database services. LlamaIndex also offers a query interface that allows users to input any prompt related to their data, yielding responses that are enriched with knowledge. It allows for the connection of unstructured data sources, including documents, raw text files, PDFs, videos, and images, while also making it simple to incorporate structured data from sources like Excel or SQL. Additionally, LlamaIndex provides methods for organizing your data through indices and graphs, making it more accessible for use with LLMs, thereby enhancing the overall user experience and expanding the potential applications.

CrewAI stands out as a premier multi-agent platform designed to assist businesses in optimizing workflows across a variety of sectors by constructing and implementing automated processes with any Large Language Model (LLM) and cloud services. It boasts an extensive array of tools, including a framework and an intuitive UI Studio, which expedite the creation of multi-agent automations, appealing to both coding experts and those who prefer no-code approaches. The platform provides versatile deployment alternatives, enabling users to confidently transition their developed 'crews'—composed of AI agents—into production environments, equipped with advanced tools tailored for various deployment scenarios and automatically generated user interfaces. Furthermore, CrewAI features comprehensive monitoring functionalities that allow users to assess the performance and progress of their AI agents across both straightforward and intricate tasks. On top of that, it includes testing and training resources aimed at continuously improving the effectiveness and quality of the results generated by these AI agents. Ultimately, CrewAI empowers organizations to harness the full potential of automation in their operations.

Langflow serves as a low-code AI development platform that enables the creation of applications utilizing agentic capabilities and retrieval-augmented generation. With its intuitive visual interface, developers can easily assemble intricate AI workflows using drag-and-drop components, which streamlines the process of experimentation and prototyping. Being Python-based and independent of any specific model, API, or database, it allows for effortless integration with a wide array of tools and technology stacks. Langflow is versatile enough to support the creation of intelligent chatbots, document processing systems, and multi-agent frameworks. It comes equipped with features such as dynamic input variables, fine-tuning options, and the flexibility to design custom components tailored to specific needs. Moreover, Langflow connects seamlessly with various services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers have the option to work with pre-existing components or write their own code, thus enhancing the adaptability of AI application development. The platform additionally includes a free cloud service, making it convenient for users to quickly deploy and test their projects, fostering innovation and rapid iteration in AI solutions. As a result, Langflow stands out as a comprehensive tool for anyone looking to leverage AI technology efficiently.