Best AI tools for< Handle Support Requests >
20 - AI tool Sites
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Automatic Chat
Automatic Chat is a powerful AI chatbot that can be trained on your website's data to answer customer questions and handle support requests. It is easy to use and has a variety of features that make it a valuable tool for any business. With Automatic Chat, you can save time and money on customer support, and improve the customer experience on your website.
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Sadako
Sadako is an AI-powered writing assistant that helps users create optimized SEO content effortlessly. It offers advanced features such as content generation, image creation, and content rewriting. With an intuitive interface and powerful capabilities, Sadako simplifies the content creation process for digital agencies, product designers, entrepreneurs, copywriters, digital marketers, and developers. The application is powered by popular AI models like GPT, Dall-E, and Ada, ensuring quick and efficient text, image, and code generation.
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Zenbots
Zenbots is a Zendesk AI chatbot that provides dedicated Zendesk support with access to all of your Zendesk support articles. It is designed to speed up operations, assist agents, or even let customers solve problems on their own. Zenbots can be integrated into existing workflows with just a few clicks and can be set up in under 24 hours. It offers a free 7-day trial.
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My AskAI
My AskAI is an AI-powered customer support tool designed to assist businesses in managing customer inquiries efficiently. The tool utilizes advanced natural language processing and machine learning algorithms to understand and respond to customer queries in real-time. With My AskAI, businesses can automate responses, provide personalized support, and improve overall customer satisfaction. The tool is user-friendly and customizable, making it suitable for businesses of all sizes.
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Risotto
Risotto is an AI help desk application designed to streamline IT support processes. It offers features such as automatic ticket creation, routing, workflows, and escalations, as well as integrations with popular knowledge stores. Risotto aims to enhance security, improve employee experience, and save time and money by automating access requests and providing 24/7 support. The application leverages AI to provide fast responses, reduce support overhead, and handle access requests through natural language, ultimately making IT teams more efficient and effective.
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Hostcomm
Hostcomm is an AI-powered platform offering a range of solutions for customer service, including predictive dialer, remote visual assistance, live chat, AI contact center, interaction analytics, and more. The platform aims to enhance customer service experiences by seamlessly blending traditional and AI-driven communications. Hostcomm's cloud contact center software, powered by Amazon AWS and Google cloud services, helps businesses achieve growth, differentiation, and cost reduction through automation and digitalization. With features like AI voice agent, AI customer service agent, and IVR payments, Hostcomm provides innovative AI solutions to improve customer satisfaction, reduce costs, and increase sales.
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403 Forbidden
The website appears to be displaying a '403 Forbidden' error message, which typically means that the user is not authorized to access the requested page. This error is often encountered when trying to access a webpage without the necessary permissions or when the server is configured to deny access to a particular resource. The message 'openresty' suggests that the server is using the OpenResty web platform. OpenResty is a web platform based on NGINX and Lua that is commonly used for building dynamic web applications. In this case, the website may be using OpenResty to handle incoming requests and manage server configurations.
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Omni Engage
Omni Engage is a powerful omnichannel communications software designed to help businesses create meaningful and personalized interactions with their customers. It allows businesses to connect with their audience across multiple channels, including email, social media, and voice, and deliver a consistent and memorable experience for every customer. Omni Engage simplifies customer engagement with its Unified Inbox, which enables agents to handle requests from all channels seamlessly and efficiently. It also offers AI automation with Omni Automate, which streamlines customer interactions by automating routine inquiries and providing rapid response times. With its robust reporting and analytics capabilities, Omni Engage empowers supervisors to measure engagement and performance across all channels, identify areas for improvement, and drive success.
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ioni.ai
ioni.ai is an AI application that offers ChatGPT-4 solution for customer support. It is a smart chatbot based on the latest AI technology, designed to handle general inquiries, complex questions, and user-specific requests. The application streamlines workflow with immediate responses, brings CSAT scores to a new level, and ensures human-in-the-loop verification for quality control. With self-learning capabilities, ioni.ai constantly improves its responses and provides accurate solutions to customer inquiries.
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Google Gemini Pro Chat Bot
Google Gemini Pro Chat Bot is an advanced AI tool designed to provide automated chatbot services for businesses. It utilizes artificial intelligence to engage with customers, answer queries, and assist in various tasks. The chatbot is highly customizable, allowing businesses to tailor the responses and interactions based on their specific needs. With its user-friendly interface and powerful AI capabilities, Google Gemini Pro Chat Bot is a valuable tool for enhancing customer support and streamlining communication processes.
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Smart Desktop AI
Smart Desktop AI is an AI tool designed to assist users with various tasks related to commission, refund, and test transactions. Users can contact the support team via email for assistance and updates on their accounts. The tool also provides information on upcoming features like DFY email marketing AI funnel. Smart Desktop AI emphasizes official communication channels and warns against unofficial groups or requests for money.
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404 Error Page
The website displays a '404 - Page not found' error message, indicating that the requested page does not exist or has been moved. It seems to be a generic error page that users encounter when trying to access a non-existent or relocated webpage.
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Internal Server Error Analyzer
The website encountered an internal error, resulting in a 500 Internal Server Error message. This error message indicates that the server faced an issue preventing it from fulfilling the request. The error could be due to server overload or an error within the application itself.
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404 Error Page
The website is a simple error page indicating that the requested page is not found. It is a standard HTTP response code that informs users that the server could not find the requested page. The message '404 - Page not found' is displayed to inform users that the page they are trying to access does not exist or has been moved.
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404 Error Page
The website is a simple error page indicating that the requested page is not found. It is a standard HTTP 404 error message that informs users that the page they are trying to access does not exist or has been moved. The page typically includes a brief message like '404 - Page not found' to notify users of the error.
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Server Error Handler
The website encountered a server error, preventing it from fulfilling the user's request. Users are advised to try again after 30 seconds. The site does not appear to be an AI tool or application, but rather a standard web server experiencing technical difficulties.
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404 Error Page
The website is a simple error page indicating that the requested page is not found. It serves as a notification to users that the page they are trying to access either does not exist or has been relocated. The 404 error page is a standard response code in web browsers when a user attempts to visit a URL that cannot be found on the server.
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404 Page Not Found Error
The website displays a 404 Page not found error message indicating that the requested URL was not found on the server. It is a standard error message displayed when a user tries to access a webpage that does not exist on the server. The 404 error page typically includes a message informing the user that the requested page is unavailable and may provide suggestions or links to navigate back to the site's homepage or other relevant pages.
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Server Error Handler
The website encountered a server error and could not complete the request. Users are advised to try again in 30 seconds. The error message indicates a temporary issue with the server's functionality.
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Netlify Placeholder Page
The website appears to be a placeholder page indicating that the requested site is not found on Netlify. It suggests that the user may have followed a broken link or entered a non-existent URL. If the user is the site owner and encounters a 404 error, they are directed to Netlify's support guide for troubleshooting tips. The page includes a Netlify Internal ID: 01J2YC4TMAA8RS4SFDTJREBRD0.
20 - Open Source AI Tools
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cortex
Cortex is a tool that simplifies and accelerates the process of creating applications utilizing modern AI models like chatGPT and GPT-4. It provides a structured interface (GraphQL or REST) to a prompt execution environment, enabling complex augmented prompting and abstracting away model connection complexities like input chunking, rate limiting, output formatting, caching, and error handling. Cortex offers a solution to challenges faced when using AI models, providing a simple package for interacting with NL AI models.
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ollama-ex
Ollama is a powerful tool for running large language models locally or on your own infrastructure. It provides a full implementation of the Ollama API, support for streaming requests, and tool use capability. Users can interact with Ollama in Elixir to generate completions, chat messages, and perform streaming requests. The tool also supports function calling on compatible models, allowing users to define tools with clear descriptions and arguments. Ollama is designed to facilitate natural language processing tasks and enhance user interactions with language models.
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aws-lex-web-ui
The AWS Lex Web UI is a sample Amazon Lex web interface that provides a chatbot UI component for integration into websites. It supports voice and text interactions, Lex response cards, and programmable configuration using JavaScript. The interface can be used as a full-page chatbot UI or embedded as a widget. It offers mobile-ready responsive UI, seamless voice-text switching, and interactive messaging support. The project includes CloudFormation templates for easy deployment and customization. Users can modify configurations, integrate the UI into existing sites, and deploy using various methods like CloudFormation, pre-built libraries, or npm installation.
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pr-agent
PR-Agent is a tool that helps to efficiently review and handle pull requests by providing AI feedbacks and suggestions. It supports various commands such as generating PR descriptions, providing code suggestions, answering questions about the PR, and updating the CHANGELOG.md file. PR-Agent can be used via CLI, GitHub Action, GitHub App, Docker, and supports multiple git providers and models. It emphasizes real-life practical usage, with each tool having a single GPT-4 call for quick and affordable responses. The PR Compression strategy enables effective handling of both short and long PRs, while the JSON prompting strategy allows for modular and customizable tools. PR-Agent Pro, the hosted version by CodiumAI, provides additional benefits such as full management, improved privacy, priority support, and extra features.
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wdoc
wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.
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Multi-Agent-Custom-Automation-Engine-Solution-Accelerator
The Multi-Agent -Custom Automation Engine Solution Accelerator is an AI-driven orchestration system that manages a group of AI agents to accomplish tasks based on user input. It uses a FastAPI backend to handle HTTP requests, processes them through various specialized agents, and stores stateful information using Azure Cosmos DB. The system allows users to focus on what matters by coordinating activities across an organization, enabling GenAI to scale, and is applicable to most industries. It is intended for developing and deploying custom AI solutions for specific customers, providing a foundation to accelerate building out multi-agent systems.
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aider
Aider is an AI pair programming tool that allows users to collaborate with large language models (LLMs) to edit code in their local git repository. It works best with GPT-4o & Claude 3.5 Sonnet and can connect to almost any LLM. Users can run Aider with specific files, request changes, add new features or test cases, describe bugs, refactor code, update docs, and more. Aider automatically commits changes with sensible messages, supports multiple programming languages, and can handle complex requests by editing multiple files at once. It uses a map of the entire git repo for efficient performance in larger codebases. Users can chat with Aider, add images, URLs, and even code with their voice. Aider has achieved top scores on SWE Bench, solving real GitHub issues from popular open source projects like django, scikitlearn, matplotlib, etc.
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BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students
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mosec
Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic
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cognita
Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.
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call-center-ai
Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.
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pr-agent
PR-Agent is a tool designed to assist in efficiently reviewing and handling pull requests by providing AI feedback and suggestions. It offers various tools such as Review, Describe, Improve, Ask, Update CHANGELOG, and more, with the ability to run them via different interfaces like CLI, PR Comments, or automatically triggering them when a new PR is opened. The tool supports multiple git platforms and models, emphasizing real-life practical usage and modular, customizable tools.
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algernon
Algernon is a web server with built-in support for QUIC, HTTP/2, Lua, Teal, Markdown, Pongo2, HyperApp, Amber, Sass(SCSS), GCSS, JSX, Ollama (LLMs), BoltDB, Redis, PostgreSQL, MariaDB/MySQL, MSSQL, rate limiting, graceful shutdown, plugins, users, and permissions. It is a small self-contained executable that supports various technologies and features for web development.
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sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.
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instructor-php
Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.
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litserve
LitServe is a high-throughput serving engine for deploying AI models at scale. It generates an API endpoint for a model, handles batching, streaming, autoscaling across CPU/GPUs, and more. Built for enterprise scale, it supports every framework like PyTorch, JAX, Tensorflow, and more. LitServe is designed to let users focus on model performance, not the serving boilerplate. It is like PyTorch Lightning for model serving but with broader framework support and scalability.
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vscode-pddl
The vscode-pddl extension provides comprehensive support for Planning Domain Description Language (PDDL) in Visual Studio Code. It enables users to model planning domains, validate them, industrialize planning solutions, and run planners. The extension offers features like syntax highlighting, auto-completion, plan visualization, plan validation, plan happenings evaluation, search debugging, and integration with Planning.Domains. Users can create PDDL files, run planners, visualize plans, and debug search algorithms efficiently within VS Code.
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UFO
UFO is a UI-focused dual-agent framework to fulfill user requests on Windows OS by seamlessly navigating and operating within individual or spanning multiple applications.
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backend.ai
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs. It allocates and isolates the underlying computing resources for multi-tenant computation sessions on-demand or in batches with customizable job schedulers with its own orchestrator. All its functions are exposed as REST/GraphQL/WebSocket APIs.
20 - OpenAI Gpts
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NarciBot
Role-play with a narcissist emulator: Build confidence to handle challenging personalities in professional or personal life.
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Opto assistent
Assists optometrists with answers and support in their daily work, in English and Estonian.
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AI Guide
Balances professional and approachable responses, adhering to conventional standards.
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Case Finisher Assistant
Hello I'm Case Finisher Assistant! What would you like help with today?
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TelegramBot API Integration
Master in all aspects of Telegram bot development and integration.
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Awkward Situation Solver
Welcome to AwkwardSituation Solver GPT! I am here to help you handle those cringe-worthy social moments with a touch of humor and creativity.
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Brofessional: Crucial Chris the Conversation Guru
Using "Crucial Conversations," I can help you handle work and home challenges with confidence and clarity.
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👑 Data Privacy for Architecture & Construction 👑
Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.
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👑 Data Privacy for Nutritionists & Dietitians 👑
Nutritionists and Dietitians handle health information, dietary preferences, and personal goals of clients, these professionals must ensure the confidentiality and security of this data.
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👑 Data Privacy for Event Management 👑
Data Privacy for Event Management and Ticketing Services handle personal data such as names, contact details, and payment information for event registrations and ticket purchases.
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👑 Data Privacy for Freelancers & Independents 👑
Freelancers and Independent Consultants, individuals in these roles often handle client data, project specifics, and personal contact information, requiring them to be vigilant about data privacy.
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Plot Breaker
Start with a genre and I'll help you develop a rough story outline. You can handle the rest
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Fill PDF Forms
Fill legal forms & complex PDF documents easily! Upload a file, provide data sources and I'll handle the rest.
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👑 Data Privacy for PI & Security Firms 👑
Private Investigators and Security Firms, given the nature of their work, handle highly sensitive information and must maintain strict confidentiality and data privacy standards.