Best AI tools for< Behavior Analyst >

Entropik is a leading human insights company that offers AI-powered consumer and user experience solutions. Their platform provides fast insights for consumer research, user research, marketing experience, and product experience. With features like Co-Pilot AI, Quantitative Research, Qualitative Research, Predictive Analytics, and more, Entropik helps market researchers, consumer brands, BFSI, gaming companies, digital first brands, media & entertainment, fintech, healthcare, e-commerce, telecom, and retail industries optimize their customer journeys and enhance engagement. The platform also offers AI insights, Emotion AI, Generative AI, and Predictive AI capabilities to track user focus, analyze human emotions, transform data into actionable strategies, and provide in-depth user insights.

Darktrace is a cybersecurity platform that leverages AI technology to provide proactive protection against cyber threats. It offers cloud-native AI security solutions for networks, emails, cloud environments, identity protection, and endpoint security. Darktrace's AI Analyst investigates alerts at the speed and scale of AI, mimicking human analyst behavior. The platform also includes services such as 24/7 expert support and incident management. Darktrace's AI is built on a unique approach where it learns from the organization's data to detect and respond to threats effectively. The platform caters to organizations of all sizes and industries, offering real-time detection and autonomous response to known and novel threats.

Neurons is a platform that uses AI to predict consumer responses and behavior. It offers a variety of solutions for businesses, including marketing agencies, designers, and e-commerce companies. Neurons' AI-powered tools can help businesses optimize their marketing campaigns, improve their product design, and better understand their customers.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

ChatCSV is a personal data analyst tool that allows users to upload CSV files and ask questions about their data in a conversational manner. It generates common questions about the data, visualizes answers with charts, and provides a chat history feature. The tool is useful for industries like retail, finance, banking, marketing, and advertising to understand trends, customer behavior, and more.

ClicKarma is an AI-driven defense tool designed to protect Google Ads from click frauds. It maximizes ROI by ensuring authentic interactions and eliminating wasted spend from bots and dishonest competitors. The tool offers advanced AI features to analyze and block disruptive click fraud in real-time, safeguarding ad campaigns and enhancing traffic quality. ClicKarma is trusted by over 10,000 advertisers, agencies, and businesses, providing a user-friendly interface for easy setup and operation.

Usermaven is a simple yet powerful website and product analytics tool that offers accurate tracking, comprehensive suite of analytics tools, real-time insights, and AI-powered data analysis. It eliminates the need for coding, provides privacy-friendly analytics, and is trusted by leading brands and agencies. Usermaven empowers marketers and product professionals to gain in-depth insights, understand user behavior, optimize marketing and product strategies, and make data-driven decisions for business success.

CEBRA is a machine-learning method that compresses time series data to reveal hidden structures in the variability of the data. It excels in analyzing behavioral and neural data simultaneously, allowing for the decoding of activity from the visual cortex of the mouse brain to reconstruct viewed videos. CEBRA is a novel encoding method that leverages both behavioral and neural data to produce consistent and high-performance latent spaces, enabling the mapping of space, uncovering complex kinematic features, and providing rapid, high-accuracy decoding of natural movies from the visual cortex.

Cyguru is an all-in-one cloud-based AI Security Operation Center (SOC) that offers a comprehensive range of features for a robust and secure digital landscape. Its Security Operation Center is the cornerstone of its service domain, providing AI-Powered Attack Detection, Continuous Monitoring for Vulnerabilities and Misconfigurations, Compliance Assurance, SecPedia: Your Cybersecurity Knowledge Hub, and Advanced ML & AI Detection. Cyguru's AI-Powered Analyst promptly alerts users to any suspicious behavior or activity that demands attention, ensuring timely delivery of notifications. The platform is accessible to everyone, with up to three free servers and subsequent pricing that is more than 85% below the industry average.

Mailchimp is an email marketing and automation platform that uses AI to help businesses grow their revenue. It offers a variety of features, including email marketing, website creation, audience management, marketing automation, and reporting and analytics. Mailchimp is easy to use and affordable, making it a great option for businesses of all sizes.

Mailchimp is an email marketing and automation platform that helps businesses grow their audience, drive sales, and build relationships with their customers. It offers a wide range of features, including email marketing, automation, websites, audience management, reporting and analytics, and social media marketing. Mailchimp is easy to use and affordable, making it a great choice for businesses of all sizes.

GGWP is the first AI-powered game moderation platform that modernizes game moderation by using AI to identify positive and disruptive player behavior. The platform empowers moderators with automation and streamlined tools to enhance efficiency and accuracy in handling toxic incidents. GGWP's vision is to democratize positive play using technology, providing game developers with easy-to-use tools to protect and nurture their communities and create a more positive gaming experience for players.

Pixis is a codeless AI infrastructure designed for growth marketing, offering purpose-built AI solutions to scale demand generation. The platform leverages transparent AI infrastructure to optimize campaign results across platforms, with features such as targeting AI, creative AI, and performance AI. Pixis helps reduce customer acquisition cost, generate creative assets quickly, refine audience targeting, and deliver contextual communication in real-time. The platform also provides an AI savings calculator to estimate the returns from leveraging its codeless AI infrastructure for marketing. With success stories showcasing significant improvements in various marketing metrics, Pixis aims to empower businesses to unlock the capabilities of AI for enhanced performance and results.

LIFEDATA is an omnichannel platform that helps businesses manage their customer relationships, marketing, and sales processes on WhatsApp. The platform provides a variety of features, including: * **WhatsApp marketing:** Businesses can use LIFEDATA to create and send marketing campaigns on WhatsApp, including newsletters, promotions, and updates. * **WhatsApp automation:** Businesses can use LIFEDATA to automate their WhatsApp conversations, such as sending welcome messages, answering FAQs, and scheduling appointments. * **WhatsApp commerce:** Businesses can use LIFEDATA to sell products and services on WhatsApp, including accepting payments and managing orders. * **AI Generativa:** LIFEDATA uses artificial intelligence to help businesses generate personalized content, such as product recommendations and marketing messages. * **Data Intelligence & Gen AI:** LIFEDATA provides businesses with data and insights to help them improve their marketing and sales strategies.

Scandilytics AI is an AI-driven tool designed for data analysis and reporting in the eCommerce sector. It offers automated insights and clear, actionable reports by translating complex data into understandable information. The platform consists of three AI solutions: Data Analyst AI, Business Analyst AI, and Marketing Agent AI. Scandilytics AI empowers global brands by providing smarter analytics at a lower cost, saving time, and delivering efficient data analysis. It ensures data security compliance and helps businesses optimize key performance indicators, understand customer behavior, and improve marketing strategies.

Rival Technologies is a conversational research and insight community platform that transforms conventional surveys into conversations to provide authentic, in-the-moment insights. The platform utilizes AI capabilities for accurate data and faster insights, and offers customer success services to maximize the platform's potential. Rival focuses on security and compliance, and provides regular product updates to enhance user experience. The platform caters to various industries and offers solutions like Community 2.0, Voice of Market, and Brand Experience Predictor to meet modern market research needs.

Tastewise is an AI platform designed for food and beverage brands to upskill on AI technology. It offers solutions for product innovation, foodservice execution, and digital marketing. The platform provides real-time marketing insights, consumer intelligence, and automation for marketing execution. Tastewise also enables risk-free product innovation and testing, allowing brands to introduce innovative products and adapt consumer messaging effectively. The platform helps brands make data-driven decisions, identify trends before they hit mainstream, and streamline operations for growth and success.

Lex Machina is a Legal Analytics platform that provides comprehensive insights into litigation track records of parties across the United States. It offers accurate and transparent analytic data, exclusive outcome analytics, and valuable insights to help law firms and companies craft successful strategies, assess cases, and set litigation strategies. The platform uses a unique combination of machine learning and in-house legal experts to compile, clean, and enhance data, providing unmatched insights on courts, judges, lawyers, law firms, and parties.

Aidaptive provides an end-to-end Artificial Intelligence (AI) and Machine Learning Platform powering High-Efficiency Commerce. Its autonomous intelligence platform for digital commerce uses world-leading machine learning technology to upgrade businesses from data-driven to intelligence-driven.

Cambridge Mobile Telematics (CMT) is the world's largest telematics service provider, dedicated to making roads and drivers safer. Their AI-driven platform, DriveWell Fusion®, utilizes sensor data from various IoT devices to analyze and improve vehicle and driver behavior. CMT collaborates with auto insurers, automakers, gig companies, and the public sector to enhance risk assessment, safety, claims, and driver improvement programs. With headquarters in Cambridge, MA, and global offices, CMT protects millions of drivers worldwide daily.

The NVIDIA AI Blueprint for Vulnerability Analysis for Container Security showcases accelerated analysis on common vulnerabilities and exposures (CVE) at an enterprise scale, reducing mitigation time from days to seconds. It enables security analysts to determine software package vulnerabilities using large language models (LLMs) and retrieval-augmented generation (RAG). The blueprint is designed for security analysts, IT engineers, and AI practitioners in cybersecurity. It requires NVAIE developer license and API keys for vulnerability databases, search engines, and LLM model services. Hardware requirements include L40 GPU for pipeline operation and optional LLM NIM and Embedding NIM. The workflow involves LLM pipeline for CVE impact analysis, utilizing LLM planner, agent, and summarization nodes. The blueprint uses NVIDIA NIM microservices and Morpheus Cybersecurity AI SDK for vulnerability analysis.

Hydra Dragon Antivirus is a comprehensive tool that combines dynamic and static analysis using Sandboxie for Windows with ClamAV, YARA-X, machine learning AI, behavior analysis, NLP-based detection, website signatures, Ghidra, and Snort. The tool provides a Machine Learning Malware and Benign Database for training, along with a guide for compiling from source. It offers features like Ghidra source code analysis, Java Development Kit setup, and detailed logs for malware detections. Users can join the Discord community server for support and follow specific guidelines for preparing the analysis environment. The tool emphasizes security measures such as cleaning up directories, avoiding sharing IP addresses, and ensuring ClamAV database installation. It also includes tips for effective analysis and troubleshooting common issues.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

RevEng.AI IDA Pro Plugin is a tool that integrates with the RevEng.AI platform to provide various features such as uploading binaries for analysis, downloading analysis logs, renaming function names, generating AI summaries, synchronizing functions between local analysis and the platform, and configuring plugin settings. Users can upload files for analysis, synchronize function names, rename functions, generate block summaries, and explain function behavior using this plugin. The tool requires IDA Pro v8.0 or later with Python 3.9 and higher. It relies on the 'reait' package for functionality.

Slips is a powerful endpoint behavioral intrusion prevention and detection system that uses machine learning to detect malicious behaviors in network traffic. It can work with network traffic in real-time, PCAP files, and network flows from tools like Suricata, Zeek/Bro, and Argus. Slips threat detection is based on machine learning models, threat intelligence feeds, and expert heuristics. It gathers evidence of malicious behavior and triggers alerts when enough evidence is accumulated. The tool is Python-based and supported on Linux and MacOS, with blocking features only on Linux. Slips relies on Zeek network analysis framework and Redis for interprocess communication. It offers a graphical user interface for easy monitoring and analysis.

OASIS is a scalable, open-source social media simulator that integrates large language models with rule-based agents to realistically mimic the behavior of up to one million users on platforms like Twitter and Reddit. It facilitates the study of complex social phenomena such as information spread, group polarization, and herd behavior, offering a versatile tool for exploring diverse social dynamics and user interactions in digital environments. With features like scalability, dynamic environments, diverse action spaces, and integrated recommendation systems, OASIS provides a comprehensive platform for simulating social media interactions at a large scale.

PredictorLLM is an advanced trading agent framework that utilizes large language models to automate trading in financial markets. It includes a profiling module to establish agent characteristics, a layered memory module for retaining and prioritizing financial data, and a decision-making module to convert insights into trading strategies. The framework mimics professional traders' behavior, surpassing human limitations in data processing and continuously evolving to adapt to market conditions for superior investment outcomes.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

The ChatGPT R package provides a set of features to assist in R coding. It includes addins like Ask ChatGPT, Comment selected code, Complete selected code, Create unit tests, Create variable name, Document code, Explain selected code, Find issues in the selected code, Optimize selected code, and Refactor selected code. Users can interact with ChatGPT to get code suggestions, explanations, and optimizations. The package helps in improving coding efficiency and quality by providing AI-powered assistance within the RStudio environment.

CyberScraper 2077 is an advanced web scraping tool powered by AI, designed to extract data from websites with precision and style. It offers a user-friendly interface, supports multiple data export formats, operates in stealth mode to avoid detection, and promises lightning-fast scraping. The tool respects ethical scraping practices, including robots.txt and site policies. With upcoming features like proxy support and page navigation, CyberScraper 2077 is a futuristic solution for data extraction in the digital realm.

Trubrics-sdk is a software development kit designed to facilitate the integration of analytics features into applications. It provides a set of tools and functionalities that enable developers to easily incorporate analytics capabilities, such as data collection, analysis, and reporting, into their software products. The SDK streamlines the process of implementing analytics solutions, allowing developers to focus on building and enhancing their applications' functionality and user experience. By leveraging trubrics-sdk, developers can quickly and efficiently integrate robust analytics features, gaining valuable insights into user behavior and application performance.

Firecrawl MCP Server is a Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities. It supports features like scrape, crawl, search, extract, and batch scrape. It provides web scraping with JS rendering, URL discovery, web search with content extraction, automatic retries with exponential backoff, credit usage monitoring, comprehensive logging system, support for cloud and self-hosted FireCrawl instances, mobile/desktop viewport support, and smart content filtering with tag inclusion/exclusion. The server includes configurable parameters for retry behavior and credit usage monitoring, rate limiting and batch processing capabilities, and tools for scraping, batch scraping, checking batch status, searching, crawling, and extracting structured information from web pages.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

RAG with txtai is a Retrieval Augmented Generation (RAG) Streamlit application that helps generate factually correct content by limiting the context in which a Large Language Model (LLM) can generate answers. It supports two categories of RAG: Vector RAG, where context is supplied via a vector search query, and Graph RAG, where context is supplied via a graph path traversal query. The application allows users to run queries, add data to the index, and configure various parameters to control its behavior.

Fairlearn is a Python package designed to help developers assess and mitigate fairness issues in artificial intelligence (AI) systems. It provides mitigation algorithms and metrics for model assessment. Fairlearn focuses on two types of harms: allocation harms and quality-of-service harms. The package follows the group fairness approach, aiming to identify groups at risk of experiencing harms and ensuring comparable behavior across these groups. Fairlearn consists of metrics for assessing model impacts and algorithms for mitigating unfairness in various AI tasks under different fairness definitions.

Sunone Aimbot is an AI-powered aim bot for first-person shooter games. It leverages YOLOv8 and YOLOv10 models, PyTorch, and various tools to automatically target and aim at enemies within the game. The AI model has been trained on more than 30,000 images from popular first-person shooter games like Warface, Destiny 2, Battlefield 2042, CS:GO, Fortnite, The Finals, CS2, and more. The aimbot can be configured through the `config.ini` file to adjust various settings related to object search, capture methods, aiming behavior, hotkeys, mouse settings, shooting options, Arduino integration, AI model parameters, overlay display, debug window, and more. Users are advised to follow specific recommendations to optimize performance and avoid potential issues while using the aimbot.

Roo Code Memory Bank is a tool designed for AI-assisted development to maintain project context across sessions. It provides a structured memory system integrated with VS Code, ensuring deep understanding of the project for the AI assistant. The tool includes key components such as Memory Bank for persistent storage, Mode Rules for behavior configuration, VS Code Integration for seamless development experience, and Real-time Updates for continuous context synchronization. Users can configure custom instructions, initialize the Memory Bank, and organize files within the project root directory. The Memory Bank structure includes files for tracking session state, technical decisions, project overview, progress tracking, and optional project brief and system patterns documentation. Features include persistent context, smart workflows for specialized tasks, knowledge management with structured documentation, and cross-referenced project knowledge. Pro tips include handling multiple projects, utilizing Debug mode for troubleshooting, and managing session updates for synchronization. The tool aims to enhance AI-assisted development by providing a comprehensive solution for maintaining project context and facilitating efficient workflows.

SpectrumSupporter guides on autism and educational rights.

A supportive GPT for users with autism, offering clear and patient assistance.

Your tailored guide to special needs education, growth and development.

Creating tailored social stories for people with autism.

Expert in autism development, offering guidance on milestones and support strategies.

Summarizes US politicians' voting behavior on key issues

Provides strategic financial guidance for investment behavior to optimize organization's wealth.

Assist marketers and researchers in understanding consumer behavior and decision-making processes

Expert in applying game theory to real-world strategic decisions

Get the best out of Shopify Analytics and Shopify GA4 data.

Your assistant for understanding G Analytics data.

Brief, direct insights with Munger's quotes on investing, psychology of human misjudgement, business perspectives

Data analysis and insight tool for SMEs.

We help you navigate Google Analytics 4 and start using it more.

A GPT about Charlie Munger. This one has a lot to add.

Advanced predictive analysis tool

Providing web data insights from Google and Adobe Analytics.

A scholarly GPT specializing in neuromarketing and dark patterns.

Enhances customer loyalty and reduces churn rates.

Analyzes behavioral data to understand user interactions and preferences, improving product designs.