Best AI tools for< Report Costs >

Inspecti is an AI-driven property inspection and reporting tool that revolutionizes the property inspection process by eliminating manual work and subjective evaluations. It offers features such as faster and more efficient inspections, AI-driven object detection and description, same-day report delivery, reduced disputes on security deposits, and solid consistency. Inspecti simplifies property inspections, provides accurate and timely information, and offers intuitive user-friendly interfaces. The tool aims to streamline property inspections, reduce operating costs, and empower users to deliver exceptional service.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

v0 Report is an advanced AI Document Generator that allows users to effortlessly create, customize, and manage professional-quality documents. The tool is designed to automate the writing process, enhance workflow productivity, and elevate the quality of documents for students, researchers, and professionals. With features like AI writing research capabilities, user-friendly interface, and cost-effective writing generation, v0 Report aims to revolutionize document creation through artificial intelligence technology.

ContractWorks is a contract management software that helps businesses organize, track, and manage their contracts. It offers a centralized repository for storing contracts, automated alerts and notifications, custom reporting, and electronic signature capabilities. ContractWorks also uses AI to power its search and review機能, allowing users to quickly find any contract, clause, or key term. With ContractWorks, businesses can improve contract visibility, reduce risk, and save time and money.

Alltius is a platform that allows users to build and deploy AI assistants for sales and support teams. The platform provides a variety of tools and features to help users create assistants that are accurate, secure, and easy to use. Alltius's assistants can be used to automate a variety of tasks, such as answering customer questions, generating leads, and scheduling appointments. The platform also includes a library of pre-built skills that can be used to add functionality to assistants.

Wren AI Cloud is an AI-powered SQL agent that provides seamless data access and insights for non-technical teams. It empowers users to effortlessly transform natural language queries into actionable SQL, enabling faster decision-making and driving business growth. The platform offers self-serve data exploration, AI-generated insights and visuals, and multi-agentic workflow to ensure reliable results. Wren AI Cloud is scalable, versatile, and integrates with popular data tools, making it a valuable asset for businesses seeking to leverage AI for data-driven decisions.

Unitary Virtual Agents is an AI BPO application that offers virtual agents for customer, marketplace, and safety operations. It provides a solution to replace manual effort with a blend of AI agents and expert humans, ensuring fast responses, cost-effectiveness, and human-level accuracy without the need for engineering integration. The application aims to minimize costs, improve response time, automate tasks, maintain high accuracy, and offer easy integration for businesses across various industries.

Perceive Now is the world's first Large Language Model fine-tuned with IP and Market Research data. It offers custom IP and Market reports for various industries, providing detailed insights and analysis to support decision-making processes. The platform helps in identifying market trends, conducting due diligence, managing deal flow, and maximizing IP and licensing opportunities. Perceive Now is a game-changer in prior art search, increasing the odds of patent grant success. It has significantly reduced research costs and time, accessing over 100M IP and market data sources and assisting in securing funding worth $500M.

Looker is a business intelligence platform that offers embedded analytics and AI-powered BI solutions. Leveraging Google's AI-led innovation, Looker delivers intelligent BI by combining foundational AI, cloud-first infrastructure, industry-leading APIs, and a flexible semantic layer. It allows users to build custom data experiences, transform data into integrated experiences, and create deeply integrated dashboards. Looker also provides a universal semantic modeling layer for unified, trusted data sources and offers self-service analytics capabilities through Looker and Looker Studio. Additionally, Looker features Gemini, an AI-powered analytics assistant that accelerates analytical workflows and offers a collaborative and conversational user experience.

QuData is an AI and ML solutions provider that helps businesses enhance their value through AI/ML implementation, product design, QA, and consultancy services. They offer a range of services including ChatGPT integration, speech synthesis, speech recognition, image analysis, text analysis, predictive analytics, big data analysis, innovative research, and DevOps solutions. QuData has extensive experience in machine learning and artificial intelligence, enabling them to create high-quality solutions for specific industries, helping customers save development costs and achieve their business goals.

KELLS is an AI-powered personal dental companion platform that revolutionizes dental care by providing convenient, affordable, and transparent services. It offers virtual checkups, second opinions, personalized dental reports, and real-time responses to dental questions. The platform combines AI technology with expert knowledge to empower users to make informed decisions about their oral health. KELLS aims to address the shortcomings of traditional dental care by offering 24/7 access, cost-effective solutions, and unbiased treatment evaluations.

Stark is an AI-powered platform that offers a suite of integrated accessibility tools trusted by top companies worldwide. It accelerates time-to-compliance by providing end-to-end solutions from design to live product, with features like AI-powered automation, continuous scanning, compliance management, and real-time reports. Stark is designed to streamline workflows, reduce costs, and mitigate risks associated with accessibility issues. The platform is built with enterprise-grade security and integrates seamlessly with popular design and development tools.

Level AI is a provider of artificial intelligence (AI)-powered solutions for call centers. Its products include GenAI-automated Quality Assurance, Contact Center and Business Analytics, GenAI-powered VoC Insights, AgentGPT Real-Time Agent Assist, Agent Coaching, Agent Screen Recording, and Artificial Intelligence Integrations. Level AI's solutions are designed to help businesses improve customer experience, increase efficiency, and reduce costs. The company's customers include some of the world's leading customer service organizations, such as Brex and ezCater.

We360.ai is an award-winning employee monitoring software that helps businesses track employee productivity, attendance, and time. It offers a range of features such as real-time screenshots, app usage tracking, and detailed reports. We360.ai is designed to help businesses improve efficiency, streamline processes, and make informed decisions.

Glass is an omnichannel customer relationship automation system that helps businesses automate tasks, track customer interactions, and gain insights into customer behavior. It integrates with various communication channels such as WhatsApp, Instagram, and QR codes, allowing businesses to engage with customers seamlessly. Glass also utilizes AI to analyze data and provide actionable recommendations, acting as a virtual business analyst. With its advanced features, Glass empowers businesses to improve customer satisfaction, increase sales, and reduce costs.

QA.tech is an advanced end-to-end testing application designed for B2B SaaS companies. It offers AI-powered testing solutions to help businesses ship faster, cut costs, and improve testing efficiency. The application features an AI agent named Jarvis that automates the testing process by scanning web apps, creating detailed memory structures, generating tests based on user interactions, and continuously testing for defects. QA.tech provides developer-friendly bug reports, supports various web frameworks, and integrates with CI/CD pipelines. It aims to revolutionize the testing process by offering faster, smarter, and more efficient testing solutions.

S32 is an AI-powered conveyancing tool that simplifies the process of analyzing Section 32 and Rental Agreements in real estate transactions. It provides instant insights, expert advice, and effortless report generation, helping users navigate legal complexities with ease and confidence. S32's AI conveyancer minimizes risks, ensures peace of mind, and offers a cost-effective solution for property investments.

Bookeeping.ai is an AI-powered accounting tool that automates 95% of financial tasks, offering stress-free solutions for businesses and individuals. It replaces traditional accounting software and manual processes by leveraging artificial intelligence to streamline tasks such as tax form filing, receipt matching, document creation, and more. Bookeeping.ai aims to save time, money, and reduce the complexities associated with financial management. Users can interact with the AI accountant through chat messages to complete various financial tasks efficiently.

Adzviser is an AI-powered marketing data connector that seamlessly integrates with ChatGPT, Google Sheets, and Looker Studio. It offers an intuitive and cost-effective solution for analyzing cross-platform data, providing users with valuable insights to optimize their marketing strategies. Adzviser simplifies data extraction and analysis, making it accessible to users of all skill levels, without the need for technical expertise. The application is designed to enhance marketing analytics endeavors for businesses of all scales, from small in-house teams to large agencies managing multiple accounts.

Copyright Check AI is a service that helps protect brands from legal disputes related to copyright violations on social media. The software automatically detects copyright infringements on social profiles, reducing the risk of costly legal action. It is used by Heads of Marketing and In-House Counsel at top brands to avoid lawsuits and potential damages. The service offers a done-for-you audit to highlight violations, deliver reports, and provide ongoing monitoring to ensure brand protection.

This repository provides guidance on building a multi-tenant SaaS solution for accessing foundation models using Amazon Bedrock and Amazon SageMaker. It helps enterprise IT teams track usage and costs of foundation models, regulate access, and provide visibility to cost centers. The solution includes an API Gateway design pattern for standardization and governance, enabling loose coupling between model consumers and endpoint services. The CDK Stack deploys resources for private networking, API Gateway, Lambda functions, DynamoDB table, EventBridge, S3 buckets, and Cloudwatch logs.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.

Burpference is an open-source extension designed to capture in-scope HTTP requests and responses from Burp's proxy history and send them to a remote LLM API in JSON format. It automates response capture, integrates with APIs, optimizes resource usage, provides color-coded findings visualization, offers comprehensive logging, supports native Burp reporting, and allows flexible configuration. Users can customize system prompts, API keys, and remote hosts, and host models locally to prevent high inference costs. The tool is ideal for offensive web application engagements to surface findings and vulnerabilities.

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.

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. It can produce detailed, factual, and unbiased research reports with customization options. The tool addresses issues of speed, determinism, and reliability by leveraging parallelized agent work. The main idea involves running 'planner' and 'execution' agents to generate research questions, seek related information, and create research reports. GPT Researcher optimizes costs and completes tasks in around 3 minutes. Features include generating long research reports, aggregating web sources, an easy-to-use web interface, scraping web sources, and exporting reports to various formats.

Minions is a communication protocol that enables small on-device models to collaborate with frontier models in the cloud. By only reading long contexts locally, it reduces cloud costs with minimal or no quality degradation. The repository provides a demonstration of the protocol.

FinAnGPT-Pro is a financial data downloader and AI query system that downloads quarterly and annual financial data for stocks from EOD Historical Data, storing it in MongoDB and Google BigQuery. It includes an AI-powered natural language interface for querying financial data. Users can set up the tool by following the prerequisites and setup instructions provided in the README. The tool allows users to download financial data for all stocks in a watchlist or for a single stock, query financial data using a natural language interface, and receive responses in a structured format. Important considerations include error handling, rate limiting, data validation, BigQuery costs, MongoDB connection, and security measures for API keys and credentials.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

008 is an open-source event-driven AI powered WebRTC Softphone compatible with macOS, Windows, and Linux. It is also accessible on the web. The name '008' or 'agent 008' reflects our ambition: beyond crafting the premier Open Source Softphone, we aim to introduce a programmable, event-driven AI agent. This agent utilizes embedded artificial intelligence models operating directly on the softphone, ensuring efficiency and reduced operational costs.

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

This repository contains code and data for replicating experiments on Long-Term Memory (LTM) abilities of conversational agents. It includes a benchmark for testing agents' memory performance over long conversations, evaluating tasks requiring dynamic memory upkeep and information integration. The repository supports various models, datasets, and configurations for benchmarking and reporting results.

GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). By simulating real-world inference workloads, GuideLLM helps users gauge the performance, resource needs, and cost implications of deploying LLMs on various hardware configurations. This approach ensures efficient, scalable, and cost-effective LLM inference serving while maintaining high service quality. Key features include performance evaluation, resource optimization, cost estimation, and scalability testing.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just **a single line of code**. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.

Gateway is a tool that streamlines requests to 100+ open & closed source models with a unified API. It is production-ready with support for caching, fallbacks, retries, timeouts, load balancing, and can be edge-deployed for minimum latency. It is blazing fast with a tiny footprint, supports load balancing across multiple models, providers, and keys, ensures app resilience with fallbacks, offers automatic retries with exponential fallbacks, allows configurable request timeouts, supports multimodal routing, and can be extended with plug-in middleware. It is battle-tested over 300B tokens and enterprise-ready for enhanced security, scale, and custom deployments.

PowerPointer For Local LLMs is a PowerPoint generator that uses python-pptx and local llm's via the Oobabooga Text Generation WebUI api to create beautiful and informative presentations. It runs locally on your computer, eliminating privacy concerns. The tool allows users to select from 7 designs, make placeholders for images, and easily customize presentations within PowerPoint. Users provide information for the PowerPoint, which is then used to generate text using optimized prompts and the text generation webui api. The generated text is converted into a PowerPoint presentation using the python-pptx library.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and their applications, while also discussing current limitations and future directions.

Guides financial planning and cost management in production.

Your AI MEP Estimator Co-pilot

Manages project expenses to optimize financial efficiency.

Coordinates and optimizes staff schedules for operational efficiency.

Business model expert, create detailed reports based on business ideas.

Sérfræðingur í kostnaði og áhrifum vímuefnabanns

Expert in comprehensive work reports with insights and clarifications, just upload your data!

Enhancing Power BI reports and dashboards with focused feedback.

I generate marketing reports and analytics with real-time insights.

Professional report review and feedback

Assists in understanding radiology reports clearly.

Analyzes annual reports, focusing on specific user-provided data

Checks all open AI systems for downtime.

I'm here to assist with ESG reporting! Let's make sustainability reporting efficient and insightful. 📈🌎

Grades and provides feedback on college-level science lab reports.

Find the ultimate surf sessions in between a busy schedule

Write amazing status reports for your job

Efficiently creates personalized student reports.

Assists in structuring a project report on unlawful conduct and FDCPA violations, focusing on clarity and factuality.

Your decipher in financial report analysis, translating reports easy and apprehensible.