Best AI tools for< Optimization Analyst >

SAO (Search Ads Optimization) is an AI optimization platform designed for Apple Search Ads campaigns. It leverages AI-based automation to optimize and automate keyword bid management, helping users scale revenue, improve ROAS, and reduce cost per acquisition. The platform offers in-depth analytics, data visualization, and advanced ASO tools to enhance campaign performance and efficiency. Trusted by app developers, agencies, and consultants worldwide, SAO is a game-changer in maximizing ad spend and driving better results with minimal effort.

DataHawk is an eCommerce analytics platform powered by AI that helps users optimize their eCommerce operations from A to Z. It provides competitive intelligence, performance analysis, conversion optimization, sales growth, brand image protection, traffic generation, and more. DataHawk offers automated data collection, composable analytics, AI-powered productivity, integrations, exclusive datasets, and professional services. The platform empowers users with end-to-end visibility, comprehensive marketplace data, flexibility, control over operational data, and expert support. With AI capabilities, DataHawk automates data collection, detects anomalies, generates recommended actions, and augments productivity. The platform enhances revenue, RoAS, and time savings for users, supported by dedicated experts and customer success stories.

PrimeOrbit is an AI-driven cloud cost optimization platform designed to empower operations and boost ROI for enterprises. The platform focuses on streamlining operations and simplifying cost management by delivering quality-centric solutions. It offers AI-driven optimization recommendations, automated cost allocation, and tailored FinOps for optimal efficiency and control. PrimeOrbit stands out by providing user-centric approach, superior AI recommendations, customization, and flexible enterprise workflow. It supports major cloud providers including AWS, Azure, and GCP, with full support for GCP and Kubernetes coming soon. The platform ensures complete cost allocation across cloud resources, empowering decision-makers to optimize cloud spending efficiently and effectively.

Collective[i] is an AI application that leverages deep learning and AI technology to optimize business operations, specifically focusing on sales forecasting, productivity improvement, and revenue growth. The platform provides automated daily sales forecasts, data cleansing in CRM systems, insights generation for optimal outcomes, and support for community networking. Collective[i] prioritizes enterprise-level security and privacy to ensure the confidentiality and integrity of business information. The AI technology used by Collective[i] aims to automate tasks, enhance decision-making processes, and enhance the overall buying experience for users.

Madgicx is an AI-powered marketing platform that offers solutions for ad optimization, data analysis, tracking, automation, creatives, targeting, and marketing analytics. It provides users with tools to improve their advertising performance on platforms like Facebook and Google by leveraging AI technology. Madgicx helps users create converting ads, target profitable audiences, manage ad campaigns autonomously, and track attribution accurately. The platform also offers features like ad library search, creative insights, ad copy analysis, audience insights, bid testing, and automated reporting. With a focus on AI-driven optimization, Madgicx aims to help businesses maximize their ROI and streamline their digital marketing efforts.

BrightBid is an AI-powered advertising optimization tool that helps users unleash the power of AI to improve ad performance and save time managing ad campaigns. With features like AI-fused PPC automation, AI optimization for Google Shopping ads, and competitor ad monitoring, BrightBid offers a comprehensive solution for maximizing ROI and staying ahead of the competition. The platform provides clear reports, competitive insights, and actionable recommendations to supercharge ad campaigns and drive breakthrough performance. BrightBid is designed to empower marketers with AI-driven tools and strategies to achieve better results and increase return on investment.

BrightBid is an AI-powered advertising optimization tool that helps users maximize the performance of their ad campaigns. By leveraging AI and automation, BrightBid enables users to make data-driven decisions, automate bids, find keywords, create ad copy, and allocate budgets easily. The tool provides intuitive dashboards for tracking ad performance, monitoring targets and metrics, controlling budget spend, and gaining competitive insights by tracking competitors. BrightBid aims to supercharge ads and boost ROI by utilizing AI technology to optimize advertising strategies and increase return on investment.

Trellis is an eCommerce merchandising software that offers a range of AI-powered tools to optimize various aspects of online selling. It provides real-time competitor data, automated pricing using machine learning, SEO-rich content generation, and cutting-edge software for promotions. The platform also offers market intelligence through game-changing data and dashboards, helping users make data-driven decisions. Trellis aims to help businesses maximize profitability by streamlining workflows and automating merchandising decisions.

Permar is an AI-powered website optimization tool that helps businesses increase their conversion rates. It uses reinforcement learning techniques to dynamically adapt website optimization, resulting in an average uplift in conversion rates of 10-12% compared to static A/B tests. Permar also offers a complete toolkit of features to help businesses create high-converting landing pages, including dynamic A/B testing, real-time optimization, and growth experiment ideas.

CloudKeeper is a comprehensive cloud cost optimization partner that offers solutions for AWS, Azure, and GCP. The platform provides services such as rate optimization, usage optimization, cloud consulting & support, and cloud cost visibility. CloudKeeper combines group buying, commitments management, expert consulting, and analytics to reduce cloud costs and maximize value. With a focus on savings, visibility, and services bundled together, CloudKeeper aims to simplify the cloud cost optimization journey for businesses of all sizes.

Schemawriter.ai is an advanced AI software platform that generates optimized schema and content on autopilot. It uses a large number of external APIs, including several Google APIs, and complex mathematical algorithms to produce entity lists and content correlated with high rankings in Google. The platform connects directly to Wikipedia and Wikidata via APIs to deliver accurate information about content and entities on webpages. Schemawriter.ai simplifies the process of editing schema, generating advanced schema files, and optimizing webpage content for fast and permanent on-page SEO optimization.

Macroaxis is a wealth optimization platform that leverages artificial intelligence to help users make informed investment decisions. It offers a range of features to generate optimal portfolios, provide investment insights, and rebalance portfolios efficiently. The platform caters to self-directed investors, finance academia, fintech professionals, and individuals looking to invest with AI-driven strategies. Macroaxis aims to empower users with adaptive investment solutions and resilient portfolio management capabilities.

cloudNito is an AI-driven platform that specializes in cloud cost optimization and management for businesses using AWS services. The platform offers automated cost optimization, comprehensive insights and analytics, unified cloud management, anomaly detection, cost and usage explorer, recommendations for waste reduction, and resource optimization. By leveraging advanced AI solutions, cloudNito aims to help businesses efficiently manage their AWS cloud resources, reduce costs, and enhance performance.

Digital Analyst Team is an AI-powered digital media automation platform that offers a suite of services for digital agencies. The platform provides automation solutions for various digital media operations, including paid search, SEO, social media, website development, campaign management, workflow automation, marketing automation, analytics, and dashboards. With a focus on AI and machine learning capabilities, Digital Analyst Team aims to streamline and optimize digital media campaigns for agencies, allowing them to focus on strategic growth and client satisfaction. The platform also offers custom software development services and resources such as blogs, case studies, and contact information.

FareTrack is an AI-driven data intelligence solution tailored for the modern air travel industry. It offers accurate, timely, and actionable insights for airline revenue management, distribution, and network operations teams. By leveraging advanced AI technology, FareTrack empowers clients with competitive fare tracking, ancillary pricing insights, open pricing monitoring, and price rank value optimization. The platform also provides comprehensive travel data solutions beyond airfare, including tax breakdowns, historical fare analysis, and trend analysis. With customizable dashboards and API integration, FareTrack enables users to make informed decisions swiftly and stay ahead in the dynamic world of air travel.

ResumeDive is an AI-driven tool designed to enhance resumes and optimize job application processes. It provides personalized feedback, job-specific action items, pros and cons analysis, tailored cover letters, and salary estimation. Users can improve their resume by tailoring skills to job descriptions, meeting ATS standards, and impressing recruiters. The tool offers free audits and affordable credit-based pricing options for users to access its features.

Capital Companion is an AI-powered trading and investing platform designed to provide users with a competitive edge in the markets. The platform offers a range of features including 24/7 AI assistant support, intelligent trading recommendations, risk analysis tools, real-time stock analytics, market sentiment analysis, and pattern recognition for technical analysis. By leveraging artificial intelligence, Capital Companion aims to help traders make well-informed decisions and protect their investments in a dynamic market environment.

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.

Jyotax.ai is an AI-powered tax solution that revolutionizes tax compliance by simplifying the tax process with advanced AI solutions. It offers comprehensive bookkeeping, payroll processing, worldwide tax returns and filing automation, profit recovery, contract compliance, and financial modeling and budgeting services. The platform ensures accurate reporting, real-time compliance monitoring, global tax solutions, customizable tax tools, and seamless data integration. Jyotax.ai optimizes tax workflows, ensures compliance with precise AI tax calculations, and simplifies global tax operations through innovative AI solutions.

Collie is a one-click application that fetches every asset from your website to create an impressive knowledge hub for your users. It is powered by Mixpeek and offers amazing search experiences by extracting content, media, and files from URLs provided. Collie supports various types of content like PDFs, Images, Videos, Audio, HTML, and Text, making it a versatile tool for website owners. The application is free for up to 1000 pages or files and offers a private embedded file search for select users in beta.

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

A web application to explore the capabilities of Google Maps Platform Route Optimization (GMPRO) for solving vehicle routing problems. Users can interact with the GMPRO data model through forms, tables, and maps to construct scenarios, tune constraints, and visualize routes. The application is intended for exploration purposes only and should not be deployed in production. Users are responsible for billing related to cloud resources and API usage. It is important to understand the pricing models for Maps Platform and Route Optimization before using the application.

A web application to explore the capabilities of Google Maps Platform Route Optimization (GMPRO). It helps users understand the data model and functions of the API by presenting interactive forms, tables, and maps. The tool is intended for exploratory use only and should not be deployed in production. Users can construct scenarios, tune constraint parameters, and visualize routes before implementing their own solutions for integrating Route Optimization into their business processes. The application incurs charges related to cloud resources and API usage, and users should be cautious about generating high usage volumes, especially for large scenarios.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

Timefold Solver is an optimization engine evolved from OptaPlanner. Developed by the original OptaPlanner team, our aim is to free the world of wasteful planning.

DeGPT is a tool designed to optimize decompiler output using Large Language Models (LLM). It requires manual installation of specific packages and setting up API key for OpenAI. The tool provides functionality to perform optimization on decompiler output by running specific scripts.

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

AI-Driven Research Assistant is an advanced AI-powered system utilizing specialized agents for data analysis, visualization, and report generation. It integrates LangChain, OpenAI's GPT models, and LangGraph for complex research processes. Key features include hypothesis generation, data processing, web search, code generation, and report writing. The system's unique Note Taker agent maintains project state, reducing overhead and improving context retention. System requirements include Python 3.10+ and Jupyter Notebook environment. Installation involves cloning the repository, setting up a Conda virtual environment, installing dependencies, and configuring environment variables. Usage instructions include setting data, running Jupyter Notebook, customizing research tasks, and viewing results. Main components include agents for hypothesis generation, process supervision, visualization, code writing, search, report writing, quality review, and note-taking. Workflow involves hypothesis generation, processing, quality review, and revision. Customization is possible by modifying agent creation and workflow definition. Current issues include OpenAI errors, NoteTaker efficiency, runtime optimization, and refiner improvement. Contributions via pull requests are welcome under the MIT License.

A fast, easy-to-use, open source AI constraint solver for software developers. OptaPlanner is a powerful tool that helps developers solve complex optimization problems by providing a constraint satisfaction solver. It allows users to model and solve planning and scheduling problems efficiently, improving decision-making processes and resource allocation. With OptaPlanner, developers can easily integrate optimization capabilities into their applications, leading to better performance and cost-effectiveness.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

SpinQuant is a tool designed for LLM quantization with learned rotations. It focuses on optimizing rotation matrices to enhance the performance of quantized models, narrowing the accuracy gap to full precision models. The tool implements rotation optimization and PTQ evaluation with optimized rotation, providing arguments for model name, batch sizes, quantization bits, and rotation options. SpinQuant is based on the findings that rotation helps in removing outliers and improving quantization, with specific enhancements achieved through learning rotation with Cayley optimization.

Awesome-AI-SEO is a curated list of powerful AI tools and platforms designed to transform your SEO strategy. This repository gathers the most effective tools that leverage machine learning and artificial intelligence to automate and enhance key aspects of search engine optimization. Whether you are an SEO professional, digital marketer, or website owner, these tools can help you optimize your site, improve your search rankings, and increase organic traffic with greater precision and efficiency. The list features AI tools covering on-page and off-page optimization, competitor analysis, rank tracking, and advanced SEO analytics. By utilizing cutting-edge technologies, businesses can stay ahead of the competition by uncovering hidden keyword opportunities, optimizing content for better visibility, and automating time-consuming SEO tasks. With frequent updates, Awesome-AI-SEO is your go-to resource for discovering the latest AI-driven innovations in the SEO space.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

LLM4Decompile is an open-source large language model dedicated to decompilation of Linux x86_64 binaries, supporting GCC's O0 to O3 optimization levels. It focuses on assessing re-executability of decompiled code through HumanEval-Decompile benchmark. The tool includes models with sizes ranging from 1.3 billion to 33 billion parameters, available on Hugging Face. Users can preprocess C code into binary and assembly instructions, then decompile assembly instructions into C using LLM4Decompile. Ongoing efforts aim to expand capabilities to support more architectures and configurations, integrate with decompilation tools like Ghidra and Rizin, and enhance performance with larger training datasets.

Superpipe is a lightweight framework designed for building, evaluating, and optimizing data transformation and data extraction pipelines using LLMs. It allows users to easily combine their favorite LLM libraries with Superpipe's building blocks to create pipelines tailored to their unique data and use cases. The tool facilitates rapid prototyping, evaluation, and optimization of end-to-end pipelines for tasks such as classification and evaluation of job departments based on work history. Superpipe also provides functionalities for evaluating pipeline performance, optimizing parameters for cost, accuracy, and speed, and conducting grid searches to experiment with different models and prompts.

LLM Learning Database is a comprehensive repository dedicated to AI large models, offering a curated collection of resources covering fundamental knowledge, cutting-edge technologies, and practical applications. It includes guides, case studies, code examples for model training, optimization, and deployment, as well as insightful articles from industry experts and scholars. Whether you are a beginner or an experienced learner in the field of AI large models, this repository aims to support your learning journey and foster continuous growth and progress.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

Expert AI companion for optimizing engagement, analyzing metrics, and mastering content strategy.

Improves operational efficiency by optimizing processes and reducing waste.

💼📉 Maximize your investments with AI-driven tax optimization! 💡 Learn strategies to reduce taxes 📊 and boost after-tax returns 💰. Get tailored advice 📘 for smart investing 📈. Not a financial advisor. 🚀💡

I'm BizFix, your guide to business optimization using BPI, 5s methods and AI powered Automations.

Expert in ROA optimization

Strategic advisor for triage management and pipeline optimization in business operations.

Leading-Edge Gas Analysis and Optimization: Adaptable, Accurate, Advanced, developed on OpenAI.

A chatbot expert in business data analysis and optimization.

This AI specializes in hotel revenue management with a focus on conducting thorough relative market analyses. It provides in-depth insights into hotel revenue optimization strategies, emphasizing competitor and market trend analysis.

Database Developer assisting with SQL/NoSQL, architecture, and optimization.

Python data expert, focusing on quality, architecture, and optimization.

Guides organizational structure optimization for efficiency and productivity.

OptiCode is designed to streamline and enhance your experience with ChatGPT software, tools, and extensions, ensuring efficient problem resolution and optimization of ChatGPT-related workflows.

Code-formatting and optimization assistant.

Nerdy, interactive advisor for digital product optimization.

Expert in SQL Server for database management, optimization, and troubleshooting.

Advanced File Conversion and Optimization Expert (Version 2.0)

Expert in GPT Creation + Optimization in ChatGPT Environment

Assists in portfolio management, offering optimization strategies and market insights.

Guides organization in telecommunications systems implementation and optimization.