Best AI tools for< Increase Compliance >

Prompt Security is a platform that secures all uses of Generative AI in the organization: from tools used by your employees to your customer-facing apps.

Compliance.ai is a regulatory compliance and risk management solution that leverages purpose-built machine learning models to automatically monitor regulatory updates and align them with internal policies, procedures, and controls. The platform ensures timely tracking, reaction, and reporting on impactful regulations and requirements, helping organizations mitigate risks, reduce costs, and increase confidence in compliance status. Compliance.ai offers a comprehensive suite of features and capabilities to streamline regulatory intelligence, impact analysis, change management, audit reporting, enforcement actions management, and more.

FairPlay is a Fairness-as-a-Service solution designed for financial institutions, offering AI-powered tools to assess automated decisioning models quickly. It helps in increasing fairness and profits by optimizing marketing, underwriting, and pricing strategies. The application provides features such as Fairness Optimizer, Second Look, Customer Composition, Redline Status, and Proxy Detection. FairPlay enables users to identify and overcome tradeoffs between performance and disparity, assess geographic fairness, de-bias proxies for protected classes, and tune models to reduce disparities without increasing risk. It offers advantages like increased compliance, speed, and readiness through automation, higher approval rates with no increase in risk, and rigorous Fair Lending analysis for sponsor banks and regulators. However, some disadvantages include the need for data integration, potential bias in AI algorithms, and the requirement for technical expertise to interpret results.

Retraced is a compliance platform designed for fashion and textile supply chains. It offers a comprehensive 360° solution to empower CSR teams in streamlining sustainability strategies, collaborating with suppliers in real-time, and meeting compliance requirements effectively. The platform enables digital connection with suppliers for efficient communication, traceability of products and materials, and fostering transparency for both internal and external stakeholders. Retraced aims to make the fashion industry more transparent and sustainable by providing innovative solutions for market leaders in the industry.

ContractPodAi is an AI-driven contract management solution designed exclusively for legal and compliance use cases. It offers enterprise-grade GenAI models fine-tuned for legal tasks, modern AI-powered contract management solutions, and automation of legal requests from start to finish. The platform aims to save time, reduce errors, and unlock new insights by leveraging the power of Generative AI. ContractPodAi provides a comprehensive suite of features and solutions for various industries and departments, enabling users to streamline their workflows, enhance data security, and centralize contract and legal document management.

Fountain is an AI-powered frontline workforce management platform that offers effortless hiring, efficient onboarding, easy HR compliance, simplified sourcing, and intelligent targeting solutions. It helps businesses streamline their hiring processes, increase retention rates, and optimize workforce experiences. Fountain's AI products enhance recruitment efficiency and deliver high volume hiring results through automated workflows and advanced AI-enabled tools. The platform also provides tailored features, early access to new products, and discounted pricing for users. With a focus on frontline hiring, Fountain collaborates with customers to develop new features and products regularly, ensuring a user-friendly experience for all.

Zest AI is an AI-driven credit underwriting software that offers a complete solution for AI-driven lending. It enables users to build custom machine learning risk models, adopt model assessment and regulatory compliance, and operate performance management and model monitoring. Zest AI helps increase approvals, manage risk, control loss, drive operational efficiency, automate credit decisioning, and improve borrower experience while ensuring fair lending practices. The software is designed to provide powerful AI for better lending outcomes by accelerating loan growth and expanding credit access through accurate risk prediction and faster credit decisions.

Zest AI is an AI-driven credit underwriting software that offers a complete solution for AI-driven lending. It enables users to build custom machine learning risk models, adopt model assessment and regulatory compliance, and operate performance management and model monitoring. Zest AI helps increase approvals, manage risk, control loss, drive operational efficiency, automate credit decisioning, and improve borrower experience while ensuring fair lending practices. The software is designed to provide fair and transparent credit for everyone, making lending more accessible and inclusive.

Convin is an omnichannel contact center platform powered by conversation intelligence. It offers a full-stack conversations QA platform for contact centers, AI learning management system for faster agent onboarding, real-time agent assist for improved conversions, automated agent coaching for personalized training, supervisor assist for tracking and assistance, and insights to collect 100% of customer intelligence. The platform also provides automated QA to audit and score customer conversations, analytics for quality management, and a mobile app for on-the-go access. Convin helps businesses in various industries like sales, support, compliance, collection, retention, healthtech, fintech, insurtech, edtech, real estate, hospitality & travel, and BPO to enhance customer interactions and drive revenue.

Tonkean is an enterprise intake orchestration platform powered by AI. It helps businesses automate and streamline their intake processes, such as procurement, legal, and more. Tonkean's AI-powered features include an intelligent AI Front Door, guided intake, request status tracker, and custom apps for ops teams. With Tonkean, businesses can increase adoption, efficiency, and compliance in their intake processes.

Composio is an integration platform for AI Agents and LLMs that allows users to access over 150 tools with just one line of code. It offers seamless integrations, managed authentication, a repository of tools, and powerful RPA tools to streamline and optimize the connection and interaction between AI Agents/LLMs and various APIs/services. Composio simplifies JSON structures, improves variable names, and enhances error handling to increase reliability by 30%. The platform is SOC Type II compliant, ensuring maximum security of user data.

accessiBe is a web accessibility solution that helps businesses make their websites accessible to people with disabilities. It uses artificial intelligence to automate the process of making websites compliant with WCAG and ADA standards. accessiBe also provides a range of other features to help businesses improve the accessibility of their websites, such as a widget that allows users to customize the appearance of the website to suit their needs, and a reporting tool that tracks the progress of accessibility improvements.

ShiftX is a collaborative business process tool designed to help organizations optimize operations, ensure compliance, and increase customer satisfaction. It offers a range of features to help users manage processes, including the ability to create visual process maps, assign roles and tasks, and collaborate with colleagues. ShiftX is also committed to security and reliability, with features such as GDPR compliance, encrypted connections, and SAML single sign-on.

AizenFlow is a sales and automation platform designed to simplify supply chains and facilitate relationships between small and medium-sized 3PLs, shippers, and carriers across the US, Mexico, and Canada. It offers advanced features such as carrier identity verification, AI-powered semantic search, and fraud prevention to streamline freight operations and ensure compliance. AizenFlow aims to help businesses in the freight industry reduce risk, increase efficiency, and protect their operations from fraud.

Trust Stamp is a global provider of AI-powered identity services offering a full suite of identity tools, including biometric multi-factor authentication, document validation, identity validation, duplicate detection, and geolocation services. The application is designed to empower organizations across various sectors with advanced biometric identity solutions to reduce fraud, protect personal data privacy, increase operational efficiency, and reach a broader user base worldwide through unique data transformation and comparison capabilities. Founded in 2016, Trust Stamp has achieved significant milestones in net sales, gross profit, and strategic partnerships, positioning itself as a leader in the identity verification industry.

Medvise is an AI-powered medical scribe and coding engine designed to streamline documentation tasks in the medical field. By automating data entry, accurate medical charting, and coding, Medvise helps healthcare providers save time and increase revenue. The platform offers real-time scribe capabilities, automated data entry, AI-powered medical coding, and analysis support. It ensures compliance with medical coding and billing standards, highlights documentation gaps, and provides suggestions for improving accuracy. Medvise also features an API Gateway for seamless integration with existing healthcare systems, making it a user-friendly, secure, and cost-effective solution for various healthcare specialties.

Lavender is a magical AI email coach that helps sellers write better emails faster and increase reply rates using generative AI and data from millions of emails. It provides real-time coaching, personalized insights, and data-driven recommendations to improve email performance. Lavender integrates with popular email platforms and empowers managers to track team performance. The application is powered by advanced GAI technology and prioritizes user privacy with SOC2 certification and GDPR compliance.

Clerk Chat is a business messaging platform that enables businesses to have scalable, human-like conversations with their customers. It offers features such as customizable contact groups, AI-powered chatbots, and bulk messaging capabilities. Clerk Chat integrates with various platforms, including CRMs, compliance tools, and marketing automation software. It is designed to help businesses improve customer engagement, increase revenue, and streamline their communication processes.

TextMine is an AI-powered knowledge base designed for businesses to manage and analyze critical documents efficiently. It offers features such as document analysis, smart-search capabilities, automated data extraction, and structured dataset transformation. TextMine helps businesses save time and money by streamlining document management processes and enabling informed decision-making. The application caters to various industries like Technology, Legal Services, and Financial Services, providing solutions for teams in Procurement, Finance, Compliance, CIOs, and CDOs.

TextMine is an AI-powered knowledge base that helps businesses analyze, manage, and search thousands of documents. It uses AI to analyze unstructured textual data and document databases, automatically retrieving key terms to help users make informed decisions. TextMine's features include a document vault for storing and managing documents, a categorization system for organizing documents, and a data extraction tool for extracting insights from documents. TextMine can help businesses save time, money, and improve efficiency by automating manual data entry and information retrieval tasks.

Züs is a high-performance cloud on a fast blockchain offering privacy and configurable uptime. It uses erasure code to distribute data between data and parity servers, allowing flexibility for IT managers to design for security and uptime. Users can easily share encrypted data with business partners through a proxy key sharing protocol. The ecosystem includes apps like Blimp for cloud migration, Vult for personal cloud storage, and Chalk for NFT artists. Other apps include Bolt for secure wallet and staking, Atlus for blockchain explorer, and Chimney for network participation. The QoS protocol challenges providers based on response time, while the privacy protocol enables secure data sharing. Züs supports hybrid and multi-cloud architectures, allowing users to improve regulatory compliance and security requirements.

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, ...

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

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.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

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.

VulcanSQL is an Analytical Data API Framework for AI agents and data apps. It aims to help data professionals deliver RESTful APIs from databases, data warehouses or data lakes much easier and secure. It turns your SQL into APIs in no time!

Rubra is a collection of open-weight large language models enhanced with tool-calling capability. It allows users to call user-defined external tools in a deterministic manner while reasoning and chatting, making it ideal for agentic use cases. The models are further post-trained to teach instruct-tuned models new skills and mitigate catastrophic forgetting. Rubra extends popular inferencing projects for easy use, enabling users to run the models easily.

PR-Agent is a tool that helps to efficiently review and handle pull requests by providing AI feedbacks and suggestions. It supports various commands such as generating PR descriptions, providing code suggestions, answering questions about the PR, and updating the CHANGELOG.md file. PR-Agent can be used via CLI, GitHub Action, GitHub App, Docker, and supports multiple git providers and models. It emphasizes real-life practical usage, with each tool having a single GPT-4 call for quick and affordable responses. The PR Compression strategy enables effective handling of both short and long PRs, while the JSON prompting strategy allows for modular and customizable tools. PR-Agent Pro, the hosted version by CodiumAI, provides additional benefits such as full management, improved privacy, priority support, and extra features.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Zep is a long-term memory service for AI Assistant apps. With Zep, you can provide AI assistants with the ability to recall past conversations, no matter how distant, while also reducing hallucinations, latency, and cost. Zep persists and recalls chat histories, and automatically generates summaries and other artifacts from these chat histories. It also embeds messages and summaries, enabling you to search Zep for relevant context from past conversations. Zep does all of this asyncronously, ensuring these operations don't impact your user's chat experience. Data is persisted to database, allowing you to scale out when growth demands. Zep also provides a simple, easy to use abstraction for document vector search called Document Collections. This is designed to complement Zep's core memory features, but is not designed to be a general purpose vector database. Zep allows you to be more intentional about constructing your prompt: 1. automatically adding a few recent messages, with the number customized for your app; 2. a summary of recent conversations prior to the messages above; 3. and/or contextually relevant summaries or messages surfaced from the entire chat session. 4. and/or relevant Business data from Zep Document Collections.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

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