Best AI tools for< Research Compliance >

CoFinance is an AI-driven legal intelligence and collaboration hub that revolutionizes legal and compliance research workflows. It combines semantic search, multi-faceted document analysis, and intelligent organization tools to provide precise and efficient research solutions. The platform leverages cutting-edge Regulatory Artificial Intelligence (RAI) technology to ensure that answers are sourced from real, authoritative data. CoFinance prioritizes simplifying regulatory complexity, mitigating compliance risks, accelerating research efficiency, and providing reliable partnership for long-term compliance success. It caters to organizations navigating complex regulatory landscapes, offering quick adaptation to changes and seamless compliance across various industries and jurisdictions.

Web3 Summary is an AI-powered platform that simplifies on-chain research across multiple chains and protocols, helping users find trading alpha in the DeFi and NFT space. It offers a range of products including a trading terminal, wallet study tool, Discord bot, mobile app, and Chrome extension. The platform aims to streamline the process of understanding complex crypto projects and tokenomics using AI and ChatGPT technology.

Sherpa.ai is a Federated Learning Platform that enables data collaborations without sharing data. It allows organizations to build and train models with sensitive data from various sources while preserving privacy and complying with regulations. The platform offers enterprise-grade privacy-compliant solutions for improving AI models and fostering collaborations in a secure manner. Sherpa.ai is trusted by global organizations to maximize the value of data and AI, improve results, and ensure regulatory compliance.

UpCodes is a searchable platform designed for architects, engineers, and construction professionals to easily access building codes, assemblies, and building products. It provides a user-friendly interface for quick and efficient navigation through complex regulations and standards, streamlining the design and construction process. With UpCodes, users can search, compare, and analyze building codes and products, ensuring compliance and quality in their projects.

Paxton is an advanced AI platform designed to support legal and business professionals by automating and enhancing tasks such as contract review, legal drafting, and document analysis. Utilizing state-of-the-art artificial intelligence, including proprietary Legal Language Models, Paxton streamlines complex legal processes, improves accuracy, and drives efficiency across a wide range of applications.

Looppanel is an AI-powered research assistant that revolutionizes the way research data is managed. It automatically records calls, transcribes them, and centralizes all research data in one place. Looppanel's highly accurate transcripts support multiple languages and accents, enabling users to focus on interviews while AI takes notes. The platform simplifies analysis, allows for time-stamped note-taking, and facilitates collaboration among team members. Looppanel ensures data security and compliance with high standards, making it a valuable tool for researchers and professionals.

Maze is a continuous product discovery platform that enables users to enrich product decisions with intuitive user research. It offers a wide range of features such as prototype testing, website testing, surveys, interview studies, and more. With AI-powered tools and integrations with popular design tools, Maze helps users scale user insights and speed up product launches. The platform provides Enterprise-level protection, encrypted transmission, access control, data center security, GDPR compliance, SSO, and private workspaces to ensure data security and compliance. Trusted by companies of all industries and sizes, Maze empowers teams to make user-informed decisions and drive faster product iteration for a better user experience.

Marvin is an AI research software that serves as the perfect AI research assistant for qualitative research. It automates tedious parts of qualitative research, allowing users to analyze hours of research in minutes. Marvin helps in centralizing, searching, and sharing user research data, making it easily accessible for the whole team. With AI-powered enhancements, Marvin assists in consolidating user insights, finding patterns, and backing decisions with evidence. The tool streamlines the research journey by managing user interview panels, recruiting participants effectively, and providing features like automatic transcripts, video clips, and privacy filters for compliance. Marvin offers different pricing plans suitable for small teams, startups, companies with multiple teams, and large organizations.

The website is a B2B research AI agent that automates manual B2B research processes by curating, refining, and enriching lead databases with AI agents. It offers features like source, curate, aggregate data points, templates, and custom AI-powered enrichment. The application helps users gather the right data, speed up research processes, and target relevant companies. It provides a range of pricing plans, compliance with ISO 9001, and a mobile application. The AI agent is used by companies like UBS, Microsoft, and Airbnb, and utilizes technologies like MongoDB, Flutter, and Next.js.

AskDocs is an AI-powered document assistant designed to help users read faster and create better work content. It offers cross-document analysis, quick answers linked to documents, one-click summaries of key concepts, and the ability to understand confusing information. With a focus on enhancing productivity, AskDocs is trusted by students, knowledge workers, and small businesses to streamline research, meeting notes, emails, and more. The tool supports various document types and provides instant answers directly linked to sources within the uploaded documents.

Ask Blue J is a generative AI tool designed specifically for tax experts. It provides fast, verifiable answers to complex tax questions, helping professionals work smarter and more efficiently. With its extensive database of curated tax content and industry-leading AI technology, Ask Blue J enables users to conduct efficient research, expedite drafting, and enhance their overall productivity.

Lawdeck is an AI-powered legal document automation platform that helps lawyers create, edit, and share documents 10x faster. With Lawdeck, lawyers can automate 80% of their office tasks, including research, drafting, and collaboration. Lawdeck's AI engine provides lawyers with real-time guidance and suggestions, helping them to create high-quality documents that are tailored to their specific needs. Lawdeck also integrates with a variety of other legal tools and services, making it a one-stop shop for all of a lawyer's needs.

Pontus is an AI tool that enables users to build AI models with trust, manage risk, and ensure compliance effortlessly. It offers features like smart anonymization, rapid audit, and liability reduction, along with privacy-enhancing technology. Pontus allows for on-premise deployment, role-based access controls, and toxicity checking to prevent inappropriate content. The application is designed to work seamlessly with common LLM providers, making it a valuable asset for industries like healthcare, finance, and research.

DrugCard is an AI-enabled Data Intelligence platform designed to streamline drug safety routines for pharmacovigilance processes. It offers solutions for local literature screening, catering to CROs, MAHs, and freelancers in the pharmaceutical industry. With support for multiple languages and regions, DrugCard ensures continuous, transparent, and scalable drug safety processes, saving time and improving efficiency. The platform leverages AI technology to enhance pharmacovigilance practices, providing accurate and holistic screening of medical journals to meet regulatory requirements.

BABL AI is a leading Auditing Firm specializing in Auditing and Certifying AI Systems, Consulting on Responsible AI best practices, and offering Online Education on related topics. They employ Certified Independent Auditors to ensure AI systems comply with global regulations, provide Responsible AI Consulting services, and offer Online Courses to empower aspiring AI Auditors. Their research division, The Algorithmic Bias Lab, focuses on developing industry-leading methodologies and best practices in Algorithmic Auditing and Responsible AI. BABL AI is known for its expertise, integrity, affordability, and efficiency in the field of AI auditing.

Domino Data Lab is an enterprise AI platform that enables users to build, deploy, and manage AI models across any environment. It fosters collaboration, establishes best practices, and ensures governance while reducing costs. The platform provides access to a broad ecosystem of open source and commercial tools, and infrastructure, allowing users to accelerate and scale AI impact. Domino serves as a central hub for AI operations and knowledge, offering integrated workflows, automation, and hybrid multicloud capabilities. It helps users optimize compute utilization, enforce compliance, and centralize knowledge across teams.

IntelliumAI is a leading AI application provider specializing in secure AI solutions for data-sensitive industries. Their flagship AI-powered assistant, BoostBot, empowers organizations to unlock their knowledge potential securely. Additionally, AiBoost offers a comprehensive AI platform tailored for advanced engineering professionals, enabling teams to leverage powerful AI capabilities without extensive data science expertise. IntelliumAI is trusted by industry leaders for its transparent and compliance-ready AI solutions.

GetSearchablePDF is an online tool that allows users to convert scanned or image-based PDF documents into searchable PDFs. With its advanced OCR (Optical Character Recognition) technology, the tool accurately extracts text from images, making the resulting PDFs easy to search, edit, and share. The process is simple and straightforward: users simply connect their Dropbox or OneDrive account, drag and drop their PDF files into the designated folder, and the tool automatically converts them into searchable PDFs.

Segmed's De-Id Playground is an AI tool designed for de-identification of sensitive data. The application utilizes Natural Language Processing (NLP) and language models to remove any Personal Health Information (PHI) from the provided data samples. It is a demo tool and not recommended for production use. Users can reach out to Segmed for De-Id services. The tool ensures that no data is saved or stored by Segmed.ai, providing a secure environment for data cleaning.

expert.ai is an AI platform that offers natural language technologies and responsible AI integrations across various industries such as insurance, banking, publishing, and more. The platform helps streamline operations, extract critical data, drive revelations, ensure compliance, and deliver key information for businesses. With a focus on responsible AI, expert.ai provides solutions for insurers, pharmaceuticals, publishers, and financial services companies to reduce errors, save time, lower costs, and accelerate intelligent process automation.

Dioptra is a software test platform for assessing the trustworthy characteristics of artificial intelligence (AI). It supports the NIST AI Risk Management Framework by providing functionality to assess, analyze, and track identified AI risks. Dioptra provides a REST API and can be controlled via a web interface or Python client for designing, managing, executing, and tracking experiments. It aims to be reproducible, traceable, extensible, interoperable, modular, secure, interactive, shareable, and reusable.

AIS-catcher for Android is a multi-platform AIS receiver app that transforms your Android device into a dual channel AIS receiver. It directly accesses a Software Defined Radio USB device to pick up AIS signals from nearby vessels, visualizing them on a built-in map or sending messages via UDP to plotting apps. The app requires a RTL-SDR dongle or an AirSpy device, a simple antenna, an Android device with USB connector, and an OTG cable. It is designed for research and educational purposes under the GPL license, with no warranty. Users are responsible for prudent use and compliance with local regulations. The app is not intended for navigation or safety purposes.

The Chinese LLM Benchmark is a continuous evaluation list of large models in CLiB, covering a wide range of commercial and open-source models from various companies and research institutions. It supports multidimensional evaluation of capabilities including classification, information extraction, reading comprehension, data analysis, Chinese encoding efficiency, and Chinese instruction compliance. The benchmark not only provides capability score rankings but also offers the original output results of all models for interested individuals to score and rank themselves.

XcodeLLMEligible is a project that provides ways to enjoy Xcode LLM on ChinaSKU Mac without disabling SIP. It offers methods for script execution and manual execution, allowing users to override eligibility service features. The project is for learning and research purposes only, and users are responsible for compliance with applicable laws. The author disclaims any responsibility for consequences arising from the use of the project.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

MaxText is a high-performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference. MaxText achieves high MFUs and scales from single host to very large clusters while staying simple and "optimization-free" thanks to the power of Jax and the XLA compiler. MaxText aims to be a launching off point for ambitious LLM projects both in research and production. We encourage users to start by experimenting with MaxText out of the box and then fork and modify MaxText to meet their needs.

This repository contains code for research conducted by the LLM-Random research group at IDEAS NCBR in Warsaw, Poland. The group focuses on developing and using this repository to conduct research. For more information about the group and its research, refer to their blog, llm-random.github.io.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

MaxText is a high performance, highly scalable, open-source Large Language Model (LLM) written in pure Python/Jax targeting Google Cloud TPUs and GPUs for training and inference. It aims to be a launching off point for ambitious LLM projects in research and production, supporting TPUs and GPUs, models like Llama2, Mistral, and Gemma. MaxText provides specific instructions for getting started, runtime performance results, comparison to alternatives, and features like stack trace collection, ahead of time compilation for TPUs and GPUs, and automatic upload of logs to Vertex Tensorboard.

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, ...

Only Train Once (OTO) is an automatic, architecture-agnostic DNN training and compression framework that allows users to train a general DNN from scratch or a pretrained checkpoint to achieve high performance and slimmer architecture simultaneously in a one-shot manner without fine-tuning. The framework includes features for automatic structured pruning and erasing operators, as well as hybrid structured sparse optimizers for efficient model compression. OTO provides tools for pruning zero-invariant group partitioning, constructing pruned models, and visualizing pruning and erasing dependency graphs. It supports the HESSO optimizer and offers a sanity check for compliance testing on various DNNs. The repository also includes publications, installation instructions, quick start guides, and a roadmap for future enhancements and collaborations.

Moonshot is a simple and modular tool developed by the AI Verify Foundation to evaluate Language Model Models (LLMs) and LLM applications. It brings Benchmarking and Red-Teaming together to assist AI developers, compliance teams, and AI system owners in assessing LLM performance. Moonshot can be accessed through various interfaces including User-friendly Web UI, Interactive Command Line Interface, and seamless integration into MLOps workflows via Library APIs or Web APIs. It offers features like benchmarking LLMs from popular model providers, running relevant tests, creating custom cookbooks and recipes, and automating Red Teaming to identify vulnerabilities in AI systems.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

Gemma is a family of open-weights Large Language Model (LLM) by Google DeepMind, based on Gemini research and technology. This repository contains an inference implementation and examples, based on the Flax and JAX frameworks. Gemma can run on CPU, GPU, and TPU, with model checkpoints available for download. It provides tutorials, reference implementations, and Colab notebooks for tasks like sampling and fine-tuning. Users can contribute to Gemma through bug reports and pull requests. The code is licensed under the Apache License, Version 2.0.

Chinese-Tiny-LLM is a repository containing procedures for cleaning Chinese web corpora and pre-training code. It introduces CT-LLM, a 2B parameter language model focused on the Chinese language. The model primarily uses Chinese data from a 1,200 billion token corpus, showing excellent performance in Chinese language tasks. The repository includes tools for filtering, deduplication, and pre-training, aiming to encourage further research and innovation in language model development.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

PEFT (Parameter-Efficient Fine-Tuning) is a collection of state-of-the-art methods that enable efficient adaptation of large pretrained models to various downstream applications. By only fine-tuning a small number of extra model parameters instead of all the model's parameters, PEFT significantly decreases the computational and storage costs while achieving performance comparable to fully fine-tuned models.

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This GPT chat AI is specialized in understanding Extractables and Leachables studies, aligning with pharmaceutical guidelines, and aiding in the design and interpretation of relevant experiments.

First Latin American lawfare research AI

Expert in AI legal research by Prof. Kiskinov, SJD

A guide on health, productivity, and legal compliance

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اداة بحث متقدمة في نظام الشركات الجديد ولائحته التنفيذية

Medical Device Expert on MDR 2017/745, IVDR 2017/746 and related MDCG guidance

AR 670-1 Expert: Get accurate assessments of Army uniforms based on AR 670-1 and DA Phamphlet670-1 regulations. Upload a photo, and confirm your uniform's compliance with detailed, regulation-focused feedback.

Advises on legal matters to ensure corporate compliance.

A chatbot based on the USAID Automated Directives System

Specializes in analyzing SEC filings and industry trends for financial advice.

Assists with regulation technique courses, focusing on ODEs and proofs.

Il Tutor che hai sempre desiderato. Le sue materie di punta sono diritto amministrativo, civile, privacy e protezione dei dati personali. Ti aiuta anche nella comprensione di testi complessi. E' noto per il suo metodo di insegnamento basato su domande e risposte (la maieutica) e per la sua empatia

GPT especializado em análise técnica e jurídica de documentos. Inicia cada resposta com um monólogo interno reflexivo.

AI assistant for U.S. Federal Rules, providing precise answers with citations.

Information om svensk lag. Ger ej juridisk rådgivning.

Literal interpretation of the U.S. Constitution, emphasizing clear language.

Jestem znawcą Konstytucji RP z 1997 roku zasilanym silnikiem GPT4

Expert in Information Law, emphasizing Prof. Kiskinov's teachings.