Best AI tools for< collect client information >

Sonny9 is an AI teammate designed to help CPAs, tax preparers, and auditors collect customer information and documents efficiently, minimizing back-and-forth communications. It provides an efficient data collection experience for clients, minimizes repetitive tasks for professionals, and unlocks new opportunities for consulting services. Sonny9 can be integrated into email communication, automatically generating checklists, validating documents, and asking follow-up questions. It also extracts data from documents into CSV or QuickBooks reports and analyzes information to provide insights and consulting opportunities.

Sonny9 is an AI-powered data collection tool designed specifically for CPAs, tax preparers, and auditors. It helps professionals in these fields collect customer information and documents efficiently, minimizing the time and effort spent on back-and-forth communications. With Sonny9, users can automate repetitive tasks, receive notifications about new insights and consulting opportunities, and get prepared data for further analysis. The tool integrates with QuickBooks and can automatically extract data from documents into CSV format. Sonny9 also provides users with tips and opportunities for high-level consulting services based on customer information.

FuseBase (formerly Nimbus) is an online collaboration tool for businesses that combines internal and external collaboration. It offers a range of features for project management, data collection, knowledge management, and client relationship management (CRM). FuseBase is designed to help businesses improve communication and collaboration with their clients and teams, and to streamline their workflows. The platform is easy to use and can be customized to fit the specific needs of each business.

LaterOn is a newsletter aggregator and reader that provides a distraction-free reading experience for newsletters without flooding your inbox. It allows you to subscribe to as many newsletters as you want and will collect, summarize, and forward them to you in one email per week or month. LaterOn also has an AI companion that you can ask anything about the newsletter content.

Vocads is a conversational voice AI platform that reinvents the survey experience. It allows companies to collect richer data, improve their strategy, and retain clients through voice surveys. Vocads also provides employee voice surveys to engage employees, improve management, and upgrade company culture. The platform is easy to use with its no-code design, allowing users to create voice surveys from scratch instinctively and save templates for reuse. Vocads is GDPR compliant and offers data sovereignty, giving brands full control over their data.

Collect.chat is a website chatbot that helps businesses collect leads, appointments, enquiries, meetings, bookings, feedbacks, orders, surveys, and suggestions. It is a drag-and-drop builder that is easy to use and requires no coding. Collect.chat can be integrated with other apps without coding, such as Salesforce, Mailchimp, and Slack. It is a great tool for businesses of all sizes to improve their online presence and customer service.

re:collect is an AI-powered tool that helps you enhance your memory, perception, and synthesis. It connects the information you consume and helps you quickly recall the right information when you need it. With re:collect, you can:

Testimonial is an AI-powered tool that helps businesses collect and embed customer testimonials on their website in minutes. It provides an easy-to-use interface that allows users to create beautiful testimonial widgets, customize them to match their brand, and embed them on any web page. Testimonial also offers a range of features to help businesses manage their testimonials, such as the ability to collect testimonials from multiple sources, moderate them before they are published, and track their performance.

heardeer is an AI-powered user interview platform that helps businesses collect valuable feedback from their users. With heardeer, you can create custom interview questionnaires, share them with your users, and let AI manage the interviews. heardeer's AI engine will ask your users questions, follow up on their answers, and provide you with detailed insights into their feedback. This can help you understand your users' needs, improve your products and services, and make better decisions.

ChoiceChaser is an AI-powered lead generation tool that helps businesses find and connect with potential customers on social media, forums, and other online platforms. It uses natural language processing and machine learning to identify relevant posts and conversations, and then notifies users when there is a match. ChoiceChaser can help businesses save time and energy by automating the process of lead generation, and it can also help them reach a wider audience of potential customers.

Archive is an AI-powered influencer marketing platform that automates the process of capturing and managing user-generated content (UGC) for businesses. It offers features such as social listening, generating reports, creating shoppable feeds, competitor insights, and a powerful AI search engine. Archive helps businesses save time and resources by automating UGC management and reporting, leading to increased conversion rates and revenue. Trusted by over 1000 companies, Archive is a comprehensive solution for influencer marketing strategies.

Leanbe is a product management platform designed for data-driven teams. It helps product managers capture insights from customers, competitors, and team members to make better product decisions. Leanbe uses AI to continuously update idea scores based on customer behavior, insights, and feedback from the team. This helps product managers prioritize the right ideas and build products that meet the needs of their customers.

WellyBox is an AI-powered receipt management application designed for businesses. It utilizes the power of GPT and OCR to automate manual administrative tasks related to receipt tracking, organization, and management. With over 70 million documents processed and 45,000+ satisfied customers from 51 countries, WellyBox is a leading solution in the pre-accounting field. The platform seamlessly extracts data from receipts, organizes them, and integrates with popular accounting software for efficient financial management.

Growth Suite is an AI-powered buying intention targeting and smart discounts app for Shopify stores. It helps businesses understand each visitor's buying intention in real-time and offer them irresistible deals when their interest peaks. The app seamlessly integrates with Shopify stores, offering a native-like experience that enhances brand image while boosting conversions.

Contify is a comprehensive market and competitive intelligence platform that helps businesses track information on competitors, customers, and key intelligence topics. It enables users to collect, curate, and share actionable intelligence across their organization. Contify offers features such as personalized newsfeeds, intelligence newsletters, intelligent dashboards, taxonomy builder, user management, API integrations, white-labelling, and more. The platform is trusted by over 200 companies globally and recognized by top global analysts for continuous innovation.

ChainFuse is an AI-powered platform that helps businesses structure user feedback and improve feature requests. It enables users to collect, organize, and analyze feedback accurately and collaboratively. The platform leverages AI technology to extract insights from unstructured data sources like Docs, CSV, Community, and Social platforms. By 2025, there will be a massive amount of unstructured data, and ChainFuse aims to help UX teams handle this efficiently. With features like data collection, storytelling with AI, data extraction from various channels, issue categorization, trend tracking, visualization, and seamless integration with tech ecosystems, ChainFuse is a comprehensive solution for enhancing user insights and decision-making.

Arro is an AI-powered research assistant that helps product teams collect customer insights at scale. It uses automated conversations to conduct user interviews with thousands of customers simultaneously, generating product opportunities that can be directly integrated into the product roadmap. Arro's innovative AI-led methodology combines the depth of user interviews with the speed and scale of surveys, enabling product teams to gain a comprehensive understanding of their customers' needs and preferences.

PipeLime is an AI-powered sales funnel automation tool that helps businesses generate leads, nurture them, and close more deals. It offers a range of features such as AI lead generation, email verification, personalized outreach, target decision-makers, and smart delivery. With PipeLime, businesses can automate their sales process, reach more prospects, and increase their conversion rates.

Pixelmind is an AI-powered art and minting tool for NFTs. It allows users to create unique digital art and mint it as NFTs on the blockchain. Pixelmind's AI technology generates unique and visually appealing art that can be used for a variety of purposes, including profile pictures, social media posts, and even commercial use.

Shaip is a human-powered data processing service specializing in AI and ML models. They offer a wide range of services including data collection, annotation, de-identification, and more. Shaip provides high-quality training data for various AI applications, such as healthcare AI, conversational AI, and computer vision. With over 15 years of expertise, Shaip helps organizations unlock critical information from unstructured data, enabling them to achieve better results in their AI initiatives.

Kaytu is an AI platform that enhances cloud efficiency by analyzing historical usage data and providing intelligent recommendations for optimizing instance sizes. Users can pay for only what they need without compromising the performance of their applications. The platform is easy to use with a one-line command, allows customization for specific requirements, and ensures security by extracting metrics from the client side. Kaytu is open-source and supports AWS services, with plans to expand to GCP, Azure, GPU optimization, and observability data from Prometheus in the future.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.

VectorFlow is an open source, high throughput, fault tolerant vector embedding pipeline. It provides a simple API endpoint for ingesting large volumes of raw data, processing, and storing or returning the vectors quickly and reliably. The tool supports text-based files like TXT, PDF, HTML, and DOCX, and can be run locally with Kubernetes in production. VectorFlow offers functionalities like embedding documents, running chunking schemas, custom chunking, and integrating with vector databases like Pinecone, Qdrant, and Weaviate. It enforces a standardized schema for uploading data to a vector store and supports features like raw embeddings webhook, chunk validation webhook, S3 endpoint, and telemetry. The tool can be used with the Python client and provides detailed instructions for running and testing the functionalities.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

AIAC is a library and command line tool to generate Infrastructure as Code (IaC) templates, configurations, utilities, queries, and more via LLM providers such as OpenAI, Amazon Bedrock, and Ollama. Users can define multiple 'backends' targeting different LLM providers and environments using a simple configuration file. The tool allows users to ask a model to generate templates for different scenarios and composes an appropriate request to the selected provider, storing the resulting code to a file and/or printing it to standard output.

Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

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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TypeChat.NET is a framework that provides cross-platform libraries for building natural language interfaces with language models using strong types, type validation, and simple type-safe programs. It translates user intent into strongly typed objects and JSON programs, with support for schema export, extensibility, and common scenarios. The framework is actively developed with frequent updates, evolving based on exploration and feedback. It consists of assemblies for translating user intent, synthesizing JSON programs, and integrating with Microsoft Semantic Kernel. TypeChat.NET requires familiarity with and access to OpenAI language models for its examples and scenarios.

Fitness and Wellness Centers collect personal health and fitness data of their clients, including potentially sensitive health metrics, requiring careful handling and protection of this data.

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Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Spa and Beauty Salons collect Customer inforation, including personal details and treatment records, necessitating a high level of confidentiality and data protection.

Public transport authorities collect data on travel patterns, fares, and sometimes personal details of passengers, necessitating strong privacy measures.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

Data Privacy for Social Media Companies & Platforms collect detailed personal information, preferences, and interactions of users, making it essential to have strong data privacy policies and practices in place.

Supercharge your personal knowledge management journey by using a highlight capturing service (such as Readwise) and then turning those highlights into useful knowledge assets. Examples include flash cards, research abstracts or articles based off the highlights you collect and choose to combine.

Travel and Hospitality Industry. Hotels, Airlines, and Travel Agencies collect personal information like travel histories, passport details, and payment information, necessitating robust privacy and security measures.

Provides info on Webform pooling (beta).

Facilitates customer satisfaction through effective feedback management.

What Are They Thinking?

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GA（ゴッドアルカディア）フェス第一弾のカードを引くガチャアプリです✨This is a gacha application to draw the first card of the GA (God Arcadia) festival ✨.

Enhances user experience through rigorous usability testing and feedback.

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Assists in designing experiments for your scientific questions