Best AI tools for< Real-time Validation >

Veryfi is an OCR API tool for invoice and receipt data extraction. It offers fast, accurate, and secure document capture and data extraction on any type of document. Veryfi empowers users to process documents efficiently, automate manual data entry, and implement AI into various business processes. The tool is designed to streamline workflows, enhance accuracy, and unlock new levels of efficiency across industries such as finance, insurance, and more.

WhiteBridge is an AI-powered online reputation management tool that helps individuals and businesses transform scattered online data into a coherent narrative of their digital identity. By finding, verifying, and structuring information about someone into insightful reports, WhiteBridge enables users to safeguard their reputation, understand prospects, prepare for pitches, hire wisely, and verify authenticity. The tool offers real-time validation, background analysis, and access to over 100 public data APIs to provide unmatched quality of information. WhiteBridge is designed for recruiters, sales reps, business owners, and privacy-conscious individuals to streamline background checks, build better connections, verify information, and safeguard personal data.

Optimyzee is an AI-powered Ad Management tool designed to structure and optimize Google Ads campaigns efficiently. It helps users create and publish cost-effective Google Search Campaigns from scratch, providing a competitive edge in the online advertising space. By leveraging AI technology, Optimyzee enhances CTR, decreases CPC, and boosts website traffic, ultimately improving conversion rates and ensuring relevant traffic. The tool offers features such as Search Campaign Structure Power, Keyword Planner, RSA Builder, and Real Time Ads Validation, making it a valuable asset for marketers, marketing agencies, and business retail owners.

Optimyzee is an AI-powered Ad Management tool that structures and optimizes Google Ads campaigns in a few minutes, just like a senior PPC specialist. It offers a range of features to help businesses create and publish cost-effective Google Search campaigns from scratch. Optimyzee uses AI to provide relevant campaign structure, keyword suggestions, RSA builder, and real-time ads validation. With Optimyzee, businesses can increase their CTR by 200%, decrease their CPC by 35%, and scale their CVR by 4 times.

Robust Intelligence is an end-to-end solution for securing AI applications. It automates the evaluation of AI models, data, and files for security and safety vulnerabilities and provides guardrails for AI applications in production against integrity, privacy, abuse, and availability violations. Robust Intelligence helps enterprises remove AI security blockers, save time and resources, meet AI safety and security standards, align AI security across stakeholders, and protect against evolving threats.

ACHIV is an AI tool for ideas validation and market research. It helps businesses make informed decisions based on real market needs by providing data-driven insights. The tool streamlines the market validation process, allowing quick adaptation and refinement of product development strategies. ACHIV offers a revolutionary approach to data collection and preprocessing, along with proprietary AI models for smart analysis and predictive forecasting. It is designed to assist entrepreneurs in understanding market gaps, exploring competitors, and enhancing investment decisions with real-time data.

Flavor is an AI-powered accounting automation tool that revolutionizes the month-end close process. It automates tasks such as book closure management, general ledger reconciliations, consolidation & reporting, financial analysis, and accruals management. Flavor combines AI technology with human validation to ensure accurate, compliant, and audit-ready financial records. The tool offers customizable checklists, real-time insights, and dynamic reports for faster decision-making. With Flavor, users can reduce manual workload, eliminate errors, and focus on strategic growth initiatives.

Idea Validator is an AI-powered tool that helps entrepreneurs validate their business ideas instantly. It provides detailed reports on business viability, target audience, ideal team, business model, and more, all within minutes. Trusted by over 1750 entrepreneurs, Idea Validator offers a rapid turnaround time, affordability, and comprehensive insights to kick-start and grow business ideas. The tool covers all aspects of starting a business, ensuring users don't miss any critical components. With features like real-time web search integration, personalized reports, and expert business advisors, Idea Validator is a valuable resource for idea validation and development.

Valispace is an AI-powered platform that streamlines the entire engineering process, from requirements engineering to system design, test, verification, and validation. It modernizes classic engineering practices, enabling fast design iterations for quicker time to market. Valispace assists in automating mundane and manual engineering tasks, saving engineering hours and enhancing collaboration among engineers and stakeholders.

Parroview is a revolutionary AI-powered user research platform that automates the process of conducting user interviews. It uses natural language processing (NLP) to engage with users in real-time conversations, asking follow-up questions and uncovering insights that would be difficult to obtain through traditional methods. Parroview is designed to be fully autonomous, allowing researchers to set up interviews and gather insights without the need for manual intervention. It supports multiple languages, making it accessible to a global audience. Parroview offers a range of features, including the ability to conduct interviews via text or voice, analyze insights in real-time, and generate detailed transcripts. It is suitable for a wide range of research needs, including product validation, consumer behavior analysis, post-purchase evaluations, brand perception studies, and customer persona development.

ChainFuse is an AI-powered customer feedback analytics tool designed for support and success teams. It helps businesses track trends, receive critical alerts, and gain insights to enhance user satisfaction and minimize churn. By unifying customer data from various sources and utilizing AI storytelling, ChainFuse enables users to visualize real-time trends, identify issues, and seize opportunities to improve customer experience. The tool offers AI-powered insights, sentiment analysis, recurring issue detection, and generates reports for data-driven decision-making. ChainFuse prioritizes data security and aims to empower customer experience teams for enhanced customer loyalty and business growth.

LatenceTech is a tech startup that specializes in network latency monitoring and analysis. The platform offers real-time monitoring, prediction, and in-depth analysis of network latency using AI software. It provides cloud-based network analytics, versatile network applications, and data science-driven network acceleration. LatenceTech focuses on customer satisfaction by providing full customer experience service and expert support. The platform helps businesses optimize network performance, minimize latency issues, and achieve faster network speed and better connectivity.

Freepik is an AI-powered design platform that offers a variety of tools for creating high-quality designs efficiently. Users can generate images from words in real time, edit templates from their browser, bring designs to life effortlessly, create image variations with AI, erase backgrounds from images, edit photos online without software, resize images with AI, replace details quickly, transform doodles into images in real time, and discover how AI enhances the platform's tools and features. Freepik provides a vast library of assets including images, vectors, photos, icons, videos, PSD files, templates, and mockups, catering to various industries and design needs.

SQL Builder is an AI-powered SQL query generator that allows users to easily generate complex SQL queries without writing any code. It offers a range of features such as a no-code SQL builder, SQL syntax explainer, SQL optimizer, SQL formatter, NoSQL query builder, and SQL syntax validator. SQL Builder supports various databases including MySQL, MariaDB, SQLite, PostgreSQL, Oracle, Microsoft SQL Server, MongoDB, BigQuery, Snowflake, and Amazon Redshift.

Renovate AI is an advanced AI-powered home design application that revolutionizes interior and exterior designing. It offers real-time visualizations, intelligent object recognition, customizable styles, object removal, infinite design variations, and professional remodeling tools. Renovate AI is a versatile tool suitable for designers, homeowners, and real estate agents, providing unparalleled detail and accuracy in design planning.

Revocalize AI is a studio-level AI voice generation toolkit that allows users to create high-quality AI voices with human-level emotion. The platform offers a range of features such as voice beautification, voice transformation, and real-time auto-pitch. Users can generate vocal variations, adjust voice modulation, and access a vast catalog of voices from around the world. Revocalize AI is trusted by award-winning creators and professionals in the music industry, providing a platform for voice synthesis without constraints and endless voice possibilities.

Raman Labs is an AI tool that offers dedicated modules for computer vision-based tasks. It allows users to integrate machine learning functionality into their existing applications with just 2 lines of code, ensuring real-time performance even with high-resolution data on consumer-grade CPUs. The API is clean and minimalistic, robust to large-scale and resolution variations, and versatile, running on Python3 and Numpy. The tool adapts to the computing power of the system, supporting both CPU and GPU for different workloads.

DreamStaging.AI is an AI-powered virtual staging and interior design solution that allows users to create professional-looking interior designs for their real estate listings and design projects in minutes. With DreamStaging.AI, users can upload a photo of an empty room and get dozens of professionally designed and furnished interior variations in minutes, across various styles and room types. DreamStaging.AI can save users a lot of time by automating the process of creating virtual staging designs, allowing them to focus on other aspects of their business.

Plainly is an AI-powered video automation software that enables users to automate the creation of engaging videos at scale. It allows for the conversion of text content into videos, personalized video marketing campaigns, and the creation of video variations in bulk. Plainly caters to industries such as publishers, creative agencies, tech companies, and real estate, offering features like video editing API, personalized videos, and integration with Google Sheets for data-driven videos. The platform simplifies the video creation process by providing templates, data integration options, and automated rendering, ultimately saving time and effort for users.

SingleStore is a real-time data platform designed for apps, analytics, and gen AI. It offers faster hybrid vector + full-text search, fast-scaling integrations, and a free tier. SingleStore can read, write, and reason on petabyte-scale data in milliseconds. It supports streaming ingestion, high concurrency, first-class vector support, record lookups, and more.

ByteChef is an open-source, low-code, extendable API integration and workflow automation platform. It provides an intuitive UI Workflow Editor, event-driven & scheduled workflows, multiple flow controls, built-in code editor supporting Java, JavaScript, Python, and Ruby, rich component ecosystem, extendable with custom connectors, AI-ready with built-in AI components, developer-ready to expose workflows as APIs, version control friendly, self-hosted, scalable, and resilient. It allows users to build and visualize workflows, automate tasks across SaaS apps, internal APIs, and databases, and handle millions of workflows with high availability and fault tolerance.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

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.

Mobius is an AI infra platform including realtime computing and training. It is built on Ray, a distributed computing framework, and provides a number of features that make it well-suited for online machine learning tasks. These features include: * **Cross Language**: Mobius can run in multiple languages (only Python and Java are supported currently) with high efficiency. You can implement your operator in different languages and run them in one job. * **Single Node Failover**: Mobius has a special failover mechanism that only needs to rollback the failed node itself, in most cases, to recover the job. This is a huge benefit if your job is sensitive about failure recovery time. * **AutoScaling**: Mobius can generate a new graph with different configurations in runtime without stopping the job. * **Fusion Training**: Mobius can combine TensorFlow/Pytorch and streaming, then building an e2e online machine learning pipeline. Mobius is still under development, but it has already been used to power a number of real-world applications, including: * A real-time recommendation system for a major e-commerce company * A fraud detection system for a large financial institution * A personalized news feed for a major news organization If you are interested in using Mobius for your own online machine learning projects, you can find more information in the documentation.

AIGT is a repository containing scripts for deep learning in guided medical interventions, focusing on ultrasound imaging. It provides a complete workflow from formatting and annotations to real-time model deployment. Users can set up an Anaconda environment, run Slicer notebooks, acquire tracked ultrasound data, and process exported data for training. The repository includes tools for segmentation, image export, and annotation creation.

TigerBot is a cutting-edge foundation for your very own LLM, providing a world-class large model for innovative Chinese-style contributions. It offers various upgrades and features, such as search mode enhancements, support for large context lengths, and the ability to play text-based games. TigerBot is suitable for prompt-based game engine development, interactive game design, and real-time feedback for playable games.

Construction-Hazard-Detection is an AI-driven tool focused on improving safety at construction sites by utilizing the YOLOv8 model for object detection. The system identifies potential hazards like overhead heavy loads and steel pipes, providing real-time analysis and warnings. Users can configure the system via a YAML file and run it using Docker. The primary dataset used for training is the Construction Site Safety Image Dataset enriched with additional annotations. The system logs are accessible within the Docker container for debugging, and notifications are sent through the LINE messaging API when hazards are detected.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

This repository provides a comprehensive guide on building AI WhatsApp bots using Python and Flask. It covers setting up a Meta developer account, integrating webhook events for real-time message reception, and using OpenAI for AI responses. The tutorial includes steps for selecting phone numbers, sending messages with the API, configuring webhooks, integrating AI into the application, and adding a phone number. It also explains the process of creating a system user, obtaining access tokens, and validating verification requests and payloads for webhook security. The repository aims to help users create intelligent WhatsApp bots with Python and AI capabilities.

Evidently is an open-source Python library designed for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) powered systems. It offers a wide range of functionalities, including working with tabular, text data, and embeddings, supporting predictive and generative systems, providing over 100 built-in metrics for data drift detection and LLM evaluation, allowing for custom metrics and tests, enabling both offline evaluations and live monitoring, and offering an open architecture for easy data export and integration with existing tools. Users can utilize Evidently for one-off evaluations using Reports or Test Suites in Python, or opt for real-time monitoring through the Dashboard service.

The ruoyi-vue-pro repository is an open-source project that provides a comprehensive development platform with various functionalities such as system features, infrastructure, member center, data reports, workflow, payment system, mall system, ERP system, CRM system, and AI big model. It is built using Java backend with Spring Boot framework and Vue frontend with different versions like Vue3 with element-plus, Vue3 with vben(ant-design-vue), and Vue2 with element-ui. The project aims to offer a fast development platform for developers and enterprises, supporting features like dynamic menu loading, button-level access control, SaaS multi-tenancy, code generator, real-time communication, integration with third-party services like WeChat, Alipay, and cloud services, and more.

Yudao-cloud is an open-source project designed to provide a fast development platform for developers in China. It includes various system functions, infrastructure, member center, data reports, workflow, mall system, WeChat public account, CRM, ERP, etc. The project is based on Java backend with Spring Boot and Spring Cloud Alibaba microservices architecture. It supports multiple databases, message queues, authentication systems, dynamic menu loading, SaaS multi-tenant system, code generator, real-time communication, integration with third-party services like WeChat, Alipay, and more. The project is well-documented and follows the Alibaba Java development guidelines, ensuring clean code and architecture.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

island-ai is a TypeScript toolkit tailored for developers engaging with structured outputs from Large Language Models. It offers streamlined processes for handling, parsing, streaming, and leveraging AI-generated data across various applications. The toolkit includes packages like zod-stream for interfacing with LLM streams, stream-hooks for integrating streaming JSON data into React applications, and schema-stream for JSON streaming parsing based on Zod schemas. Additionally, related packages like @instructor-ai/instructor-js focus on data validation and retry mechanisms, enhancing the reliability of data processing workflows.

tinyllm is a lightweight framework designed for developing, debugging, and monitoring LLM and Agent powered applications at scale. It aims to simplify code while enabling users to create complex agents or LLM workflows in production. The core classes, Function and FunctionStream, standardize and control LLM, ToolStore, and relevant calls for scalable production use. It offers structured handling of function execution, including input/output validation, error handling, evaluation, and more, all while maintaining code readability. Users can create chains with prompts, LLM models, and evaluators in a single file without the need for extensive class definitions or spaghetti code. Additionally, tinyllm integrates with various libraries like Langfuse and provides tools for prompt engineering, observability, logging, and finite state machine design.

Instructor is a Typescript library for structured extraction in Typescript, powered by llms, designed for simplicity, transparency, and control. It stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and steerable.

BlinkID SDK wrapper for React Native provides best-in-class ID scanning software for cross-platform apps built with React Native. It offers complete guidance on installing and linking BlinkID library with iOS and Android apps. The SDK requires a valid license key for scanning, with offline data extraction. It supports React Native v0.71.2 and includes installation and linking instructions for iOS and Android. The repository also contains a script to create a sample React Native project and dependencies. Video tutorials demonstrate using documentVerificationOverlay and CombinedRecognizer for scanning various document types.

Expert in collectible valuation with real-time market data insights.

Accurate real-time global package tracker.

companies, trends, tech and data

Technical analyst backed with 1W-1D-4H refreshed financial market data. For more timeframes and granularity please check our website.

Real-time analysis of UFC fights.

Advanced Real-Time Market Data Analysis AI Trader Incubator Professional Trading Trainer

ForexGPT's free version pulls real-time rates for forex pairs & prices for finance symbols such as bitcoin and stock market indices (i.e. SPX500, NAS100, BTCUSD, EURUSD), performs market forecasts and analysis, w/ prompt-generated chart links to our custom TradingView charts. Not financial advice.

Expert in real-time web content retrieval and analysis

Real-time search trends function like an app, providing live information on current trends. They display trending search terms in India in real-time and offer detailed web news information about the keywords selected by the user.

Real-time web browsing FPL expert. It analyzes current football match data, player performances, team news, and expert opinions.

Expert in real-time trend analysis, sourcing data-driven insights (e.g. prompt: Give me last month's top trends in AI)

Real-time Ethereum Blockchain Data & Insights (with Etherscan.io)

Get real-time interest rates from central banks of countries!

Tracks real-time flights

Your real-time guide to the OpenAI API, directly referencing official documentation.

your real time expert while you negotiate

Your real-time web-savvy digital marketing advisor.

Property and land advisor with real-time search, focusing on sustainability and history.

NFL betting assistant using real-time data and humor.

EUR/ZAR analysis with real-time rate and current news focus