Best AI tools for< Optimize Due Diligence >

The website offers a precision workflow tool for enterprises in the finance industry, combining AI technology with human oversight to empower financial decisions. It provides features such as accurate search citations, multilingual models, and complex human-in-loop automation. The tool integrates seamlessly with existing platforms, offers time savings, and self-improving models. It is backed by innovative generative AI solutions and neural search capabilities, with a focus on transforming data processes and decision-making in finance.

Weave.AI is an AI-powered decision management tool designed to adapt to diverse challenges, from compliance and risk management to investment and sustainability. It offers a comprehensive solution for automating risk management, compliance, and due diligence at various levels, such as document, company, industry, sector, portfolio, or supply chain. Weave.AI leverages advanced AI technologies to provide dynamic insights, real-time data integration, and tailored actionable guidance for proactive crisis prevention and smarter decision-making. The tool features a Knowledge Graph, Agentic AI with self-learning agents, context-aware neuro-symbolic AI, and insights-to-action capabilities. With a focus on governance, risk, compliance, and sustainability, Weave.AI aims to empower enterprises with high-agency AI that anticipates and adapts to complex workflows.

Finta is an AI-powered platform designed to streamline fundraising processes for startups and high-growth companies. Trusted by over 8,000 top-tier companies, funds, and partners, Finta offers tools to optimize fundraising potential, enhance investor relations, and provide real-time insights. The platform leverages AI technology to personalize email scripts, recommend top investors, and facilitate warm introductions. Finta also features a comprehensive CRM system, due diligence smart links, and a collaborative environment for team members, shareholders, and advisors. With a focus on empowering users with tools and knowledge, Finta aims to revolutionize the fundraising experience.

ZBrain is an enterprise generative AI platform that offers a suite of AI-based tools and solutions for various industries. It provides real-time insights, executive summaries, due diligence enhancements, and customer support automation. ZBrain empowers businesses to streamline workflows, optimize processes, and make data-driven decisions. With features like seamless integration, no-code business logic, continuous improvement, multiple data integrations, extended DB, advanced knowledge base, and secure data handling, ZBrain aims to enhance operational efficiency and productivity across organizations.

Quantum Rise is an AI consultancy firm that believes in the power of combining human and machine intelligence to drive growth with AI and automation. They offer AI transformation services, AI for key metrics, and AI due diligence to help businesses adapt to the changing landscape. Quantum Rise focuses on delivering continuous improvement, agile development, and long-lasting results through sustainable and ethical practices. Their team of experts is dedicated to supporting businesses with data, automation, and AI solutions to achieve success in the modern era.

BalancedWork is an AI-powered platform that helps teams make data-driven decisions about when to work in-person. By combining AI and Social Science, the application addresses challenges such as frustrating virtual meetings, decreasing employee satisfaction due to mandates, weakening team bonds, and underutilized office spaces. BalancedWork offers solutions like ingesting data from enterprise APIs, evaluating work patterns, generating team schedules, and providing ongoing recommendations to adapt to changing needs. The platform aims to boost productivity, engagement, and collaboration in organizations by optimizing work interactions and relationships.

Ranked is an affordable SEO service that offers white label solutions for businesses and agencies. They provide human-written blog content, managed optimization, genuine backlinks, and leading SEO software. Their services are fully managed and structured for intent and engagement. Ranked utilizes AI engines for analysis, research, and outreach to deliver data-driven work and improve in-house productivity. However, they do not use AI for writing content due to inconsistent indexing on Google.

Magimaker.com is a website that currently shows a connection timed out error (Error code 522) due to issues with Cloudflare. The site seems to be a platform that may offer services related to web hosting or server management. Users experiencing this error are advised to wait a few minutes and try again, or for website owners, to contact their hosting provider for assistance. The error indicates a timeout between Cloudflare's network and the origin web server, preventing the web page from being displayed.

TrueAccord is an industry-leading recovery and collections platform powered by machine learning and a consumer-friendly digital experience. It offers third-party collection services for better relationships and faster recoveries through engagement, commitment, and resolution. TrueAccord's platform can handle delinquency needs from one day past due through charge off, with features like HeartBeat for better results, self-serve digital experience for consumers, scalability in delinquency infrastructure, and end-to-end personalization. The platform is trusted by market leaders and loved by consumers, providing a full-service digital-first debt collection agency.

The website is currently displaying a '403 Forbidden' error, which means that the server is refusing to respond to the request. This could be due to various reasons such as lack of permission, server misconfiguration, or a client error. The 'openresty' mentioned in the text is a web platform based on NGINX and LuaJIT, commonly used for building high-performance web applications. It is likely that the website is powered by OpenResty. However, without further access to the website content, it is not possible to provide a detailed description.

The website is currently displaying a '403 Forbidden' error message, which indicates that the server understood the request but refuses to authorize it. This error is typically caused by insufficient permissions or misconfiguration on the server side. The 'openresty' mentioned in the message refers to a web platform based on NGINX and LuaJIT, often used for building high-performance web applications. It seems that the website is currently inaccessible due to server-side issues.

Atom.com is a website that provides security services to protect websites from online attacks. It helps in preventing unauthorized access and malicious activities by implementing security measures. The platform uses Cloudflare technology to safeguard websites and ensure their performance and security. Users can get blocked due to various reasons like submitting specific words or phrases, SQL commands, or malformed data. In such cases, they can contact the site owner for resolution by providing details of the incident and the Cloudflare Ray ID.

The website displays a '403 Forbidden' error message, indicating that the server understood the request but refuses to authorize it. This error is often caused by insufficient permissions or misconfiguration on the server side. The 'openresty' mentioned in the text refers to a web platform based on NGINX and LuaJIT, commonly used for building high-performance web applications. The page may be inaccessible due to security measures or server misconfigurations.

Chatty is an AI-powered chat application that utilizes cutting-edge models to provide efficient and personalized responses to user queries. The application is designed to optimize VRAM usage by employing models with specific suffixes, resulting in reduced memory requirements. Users can expect a slight delay in the initial response due to model downloading. Chatty aims to enhance user experience through its advanced AI capabilities.

The website provides an error message indicating that the requested page is not found. It seems that the content or page you are looking for does not exist on the website. This could be due to a broken link, a mistyped URL, or the content being removed or relocated. Please check the URL for any errors or try navigating to the homepage to find the information you are looking for.

Webflow Optimize is an AI-powered website optimization and personalization tool that allows users to create high-performing sites, analyze site performance, maximize conversions through testing and personalization, and connect their site to various apps. It offers features such as A/B testing, personalization, audience insights, advanced targeting, and integration with ABM tools. With Webflow Optimize, users can deliver custom experiences, track performance, and harness AI for faster results and smarter insights.

Jobscan is a comprehensive job search tool that helps job seekers optimize their resumes, cover letters, and LinkedIn profiles to increase their chances of getting interviews. It uses artificial intelligence and machine learning technology to analyze job descriptions and identify the skills and keywords that recruiters are looking for. Jobscan then provides personalized suggestions on how to tailor your application materials to each specific job you apply for. In addition to its resume and cover letter optimization tools, Jobscan also offers a job tracker, a LinkedIn optimization tool, and a career change tool. With its powerful suite of features, Jobscan is an essential tool for any job seeker who wants to land their dream job.

TestMarket is an AI-powered sales optimization platform for online marketplace sellers. It offers a range of services to help sellers increase their visibility, boost sales, and improve their overall performance on marketplaces such as Amazon, Etsy, and Walmart. TestMarket's services include product promotion, keyword analysis, Google Ads and SEO optimization, and advertising optimization.

VWO is a comprehensive experimentation platform that enables businesses to optimize their digital experiences and maximize conversions. With a suite of products designed for the entire optimization program, VWO empowers users to understand user behavior, validate optimization hypotheses, personalize experiences, and deliver tailored content and experiences to specific audience segments. VWO's platform is designed to be enterprise-ready and scalable, with top-notch features, strong security, easy accessibility, and excellent performance. Trusted by thousands of leading brands, VWO has helped businesses achieve impressive growth through experimentation loops that shape customer experience in a positive direction.

Botify AI is an AI-powered tool designed to assist users in optimizing their website's performance and search engine rankings. By leveraging advanced algorithms and machine learning capabilities, Botify AI provides valuable insights and recommendations to improve website visibility and drive organic traffic. Users can analyze various aspects of their website, such as content quality, site structure, and keyword optimization, to enhance overall SEO strategies. With Botify AI, users can make data-driven decisions to enhance their online presence and achieve better search engine results.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

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.

Embedded inference of Deep Learning models is quite challenging due to high compute requirements. TI’s Edge AI software product helps optimize and accelerate inference on TI’s embedded devices. It supports heterogeneous execution of DNNs across cortex-A based MPUs, TI’s latest generation C7x DSP, and DNN accelerator (MMA). The solution simplifies the product life cycle of DNN development and deployment by providing a rich set of tools and optimized libraries.

NanoFlow is a throughput-oriented high-performance serving framework for Large Language Models (LLMs) that consistently delivers superior throughput compared to other frameworks by utilizing key techniques such as intra-device parallelism, asynchronous CPU scheduling, and SSD offloading. The framework proposes nano-batching to schedule compute-, memory-, and network-bound operations for simultaneous execution, leading to increased resource utilization. NanoFlow also adopts an asynchronous control flow to optimize CPU overhead and eagerly offloads KV-Cache to SSDs for multi-round conversations. The open-source codebase integrates state-of-the-art kernel libraries and provides necessary scripts for environment setup and experiment reproduction.

Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback. It generalizes the back-propagation algorithm by capturing and propagating an AI system's execution trace. Implemented as a PyTorch-like Python library, users can write Python code directly and use Trace primitives to optimize certain parts, similar to training neural networks.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

BitMat is a Python package designed to optimize matrix multiplication operations by utilizing custom kernels written in Triton. It leverages the principles outlined in the "1bit-LLM Era" paper, specifically utilizing packed int8 data to enhance computational efficiency and performance in deep learning and numerical computing tasks.

Prime is a framework for efficient, globally distributed training of AI models over the internet. It includes features such as fault-tolerant training with ElasticDeviceMesh, asynchronous distributed checkpointing, live checkpoint recovery, custom Int8 All-Reduce Kernel, maximizing bandwidth utilization, PyTorch FSDP2/DTensor ZeRO-3 implementation, and CPU off-loading. The framework aims to optimize communication, checkpointing, and bandwidth utilization for large-scale AI model training.

cake is a pure Rust implementation of the llama3 LLM distributed inference based on Candle. The project aims to enable running large models on consumer hardware clusters of iOS, macOS, Linux, and Windows devices by sharding transformer blocks. It allows running inferences on models that wouldn't fit in a single device's GPU memory by batching contiguous transformer blocks on the same worker to minimize latency. The tool provides a way to optimize memory and disk space by splitting the model into smaller bundles for workers, ensuring they only have the necessary data. cake supports various OS, architectures, and accelerations, with different statuses for each configuration.

PowerInfer is a high-speed Large Language Model (LLM) inference engine designed for local deployment on consumer-grade hardware, leveraging activation locality to optimize efficiency. It features a locality-centric design, hybrid CPU/GPU utilization, easy integration with popular ReLU-sparse models, and support for various platforms. PowerInfer achieves high speed with lower resource demands and is flexible for easy deployment and compatibility with existing models like Falcon-40B, Llama2 family, ProSparse Llama2 family, and Bamboo-7B.

Zeta is a tool designed to build state-of-the-art AI models faster by providing modular, high-performance, and scalable building blocks. It addresses the common issues faced while working with neural nets, such as chaotic codebases, lack of modularity, and low performance modules. Zeta emphasizes usability, modularity, and performance, and is currently used in hundreds of models across various GitHub repositories. It enables users to prototype, train, optimize, and deploy the latest SOTA neural nets into production. The tool offers various modules like FlashAttention, SwiGLUStacked, RelativePositionBias, FeedForward, BitLinear, PalmE, Unet, VisionEmbeddings, niva, FusedDenseGELUDense, FusedDropoutLayerNorm, MambaBlock, Film, hyper_optimize, DPO, and ZetaCloud for different tasks in AI model development.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

AI-Drug-Discovery-Design is a repository focused on Artificial Intelligence-assisted Drug Discovery and Design. It explores the use of AI technology to accelerate and optimize the drug development process. The advantages of AI in drug design include speeding up research cycles, improving accuracy through data-driven models, reducing costs by minimizing experimental redundancies, and enabling personalized drug design for specific patients or disease characteristics.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

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 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.

Mooncake is a serving platform for Kimi, a leading LLM service provided by Moonshot AI. It features a KVCache-centric disaggregated architecture that separates prefill and decoding clusters, leveraging underutilized CPU, DRAM, and SSD resources of the GPU cluster. Mooncake's scheduler balances throughput and latency-related SLOs, with a prediction-based early rejection policy for highly overloaded scenarios. It excels in long-context scenarios, achieving up to a 525% increase in throughput while handling 75% more requests under real workloads.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

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