Best AI tools for< Simulation Analyst >

Siml.ai is a software platform designed for fast AI-driven physics simulations. It combines state-of-the-art machine learning with physics simulation to provide interactive visualization and high-performance AI-based numerical simulators. The platform offers tools like Model Engineer and Simulation Studio for training and optimizing simulators, managing datasets, and leveraging AI models for engineering and scientific problems. Siml.ai aims to democratize scientific-grade simulation tools by simplifying the development and deployment of physics-based simulations for engineers and researchers.

Simudyne is an enterprise simulation software powered by AI technology. It allows large financial institutions to simulate various future scenarios efficiently and measure their impact in a safe virtual environment. The software offers solutions for environment, social and governance issues, market execution, financial crime analytics, and risk management. Simudyne's technology is secure, distributable, and Cloudera certified, providing a robust library of code for specialized functions. The platform also utilizes agent-based modeling to bridge the gap between theoretical and real-world scenarios in the financial services sector.

PumasAI is an AI tool designed to accelerate access to life-saving treatments for patients by providing data analytics tools and personalized treatments for drug development and healthcare delivery needs. The company has been recognized for its innovative contributions to the pharmaceutical industry, helping in making data-driven decisions more efficiently. PumasAI aims to save time and money for its clients through its fine-tuned offerings and successful regulatory submissions.

Coval is an AI tool designed to help users ship reliable AI agents faster by providing simulation and evaluations for voice and chat agents. It allows users to simulate thousands of scenarios from a few test cases, create prompts for testing, and evaluate agent interactions comprehensively. Coval offers AI-powered simulations, voice AI compatibility, performance tracking, workflow metrics, and customizable evaluation metrics to optimize AI agents efficiently.

Blackshark.ai is an AI-based platform that generates real-time accurate semantic photorealistic 3D digital twin of the entire planet. The platform extracts insights about the planet's infrastructure from satellite and aerial imagery via machine learning at a global scale. It enriches missing attributes using AI to provide a photorealistic, geo-typical, or asset-specific digital twin. The results can be used for visualization, simulation, mapping, mixed reality environments, and other enterprise solutions. The platform offers end-to-end geospatial solutions, including globe data input sources, no-code data labeling, geointelligence at scale, 3D semantic map, and synthetic environments.

EnterpriseAI is an advanced computing platform that focuses on the intersection of high-performance computing (HPC) and artificial intelligence (AI). The platform provides in-depth coverage of the latest developments, trends, and innovations in the AI-enabled computing landscape. EnterpriseAI offers insights into various sectors such as financial services, government, healthcare, life sciences, energy, manufacturing, retail, and academia. The platform covers a wide range of topics including AI applications, security, data storage, networking, and edge/IoT technologies.

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

Equixly is an AI-powered application designed to help users secure their APIs by identifying vulnerabilities and weaknesses through continuous security testing. The platform offers features such as scalable API PenTesting, attack simulation, mapping of attack surfaces, compliance simplification, and data exposure minimization. Equixly aims to streamline the process of identifying and fixing API security risks, ultimately enabling users to release secure code faster and reduce their attack surface.

Prescient AI is a media/marketing mix modeling (MMM) tool that revolutionizes media analytics with advanced AI solutions. It maximizes ad campaign revenue by providing industry-leading MMM insights at channel- and campaign-level. The tool is built on cutting-edge machine learning, AI, and statistical expertise, offering AI-powered simulation for profit optimization. With Prescient AI, users can pinpoint optimal spend for each campaign, achieve the highest possible ROI, and receive critical insights from seasoned experts in just 10 minutes of onboarding.

WikeAI is an all-in-one AI platform that offers top models like GPT4, Claude3, Mistral, and Llama3. It provides advanced AI capabilities such as conversation simulation, content generation, and more. Users can experience professional-level cross-model integration and benefit from AI-powered content writing, social media ads creation, and product description generation. WikeAI simplifies the use of AI technology with a one-time payment model, making it accessible and cost-effective. The platform supports various AI models and offers fast content generation, unique and original content, and commercial use rights.

Fyx.ai is a cutting-edge AI-powered SaaS platform that revolutionizes the advertising landscape by enabling marketers to create, test, and optimize ads through virtual audience simulations. The platform offers features such as custom virtual audience creation, ad simulation and testing, comprehensive analytics, AI-powered optimization, and integration with major ad platforms. Fyx.ai helps users save millions in ad spend by identifying and targeting responsive audience segments, optimizing campaign performance, and achieving higher ROI. The platform's user-friendly interface provides real-time updates and insights to stay ahead of the competition.

Ambi Robotics is an AI-powered robotics company that offers solutions for parcel sortation. Their innovative technology combines hardware and software to empower people to handle more efficiently. With solutions like AmbiSort A-Series and AmbiSort B-Series, they provide AI-powered robotic small parcel sorting and modular parcel induction and sorting systems. Ambi Robotics focuses on enhancing efficiency, scaling seamlessly, and delivering customer-centered experiences. Their technology includes Sim2Real AI Robot dexterity for real-world simulation and intelligent gripper technology for precise pick-and-place capabilities. The company aims to optimize facility performance, maximize sorting accuracy, and boost efficiency with reliable uptime. Ambi Robotics is dedicated to providing solutions that are easy to deploy, powerful, and seamlessly integrate with existing workflows.

Practice Run AI is an online platform that offers AI-powered tools for various tasks. Users can utilize the application to practice and run AI algorithms without the need for complex setups or installations. The platform provides a user-friendly interface that allows individuals to experiment with AI models and enhance their understanding of artificial intelligence concepts. Practice Run AI aims to democratize AI education and make it accessible to a wider audience by simplifying the learning process and providing hands-on experience.

Breacher.ai is an AI-powered cybersecurity solution that specializes in deepfake detection and protection. It offers a range of services to help organizations guard against deepfake attacks, including deepfake phishing simulations, awareness training, micro-curriculum, educational videos, and certification. The platform combines advanced AI technology with expert knowledge to detect, educate, and protect against deepfake threats, ensuring the security of employees, assets, and reputation. Breacher.ai's fully managed service and seamless integration with existing security measures provide a comprehensive defense strategy against deepfake attacks.

Focus Group Simulator is an AI tool designed to generate market insights instantly by simulating focus groups. By combining the power of LLMs to personate target segments with marketing quants analysis and best marketing frameworks, the tool provides valuable insights for businesses, especially startups. It helps identify low-hanging-fruit segments and offers guidance on product development, pricing, and promotion strategies to create more value and avoid waste. Users can customize simulations and engage with the team for further enhancements.

The Octagon Oracle is an AI-powered platform for UFC betting predictions and fantasy point projections. It offers highly accurate fight picks and projections based on advanced algorithms and data analysis. Users can simulate strategies, access detailed analytics, and customize their betting approach for maximum returns. The platform aims to provide sports bettors with a competitive edge in UFC betting by leveraging AI technology and historical data.

ViableView is an AI-powered market and product data analytics tool that helps entrepreneurs identify profitable products and niches. By collecting and analyzing market data, the tool provides indication metrics such as opportunity score, competition score, and profit margins to guide investment decisions. ViableView uses viability simulations to turn messy market data into actionable insights, enabling users to make informed choices about product advertising and market strategies. The tool offers features like real-time tracking of market trends, market overview insights, and data projections based on industry KPIs. ViableView is suitable for digital products, physical products, SaaS, and real estate markets, providing comprehensive data aggregation and market analysis for each sector.

Monoid is an AI tool that transforms APIs into AI Agents, enhancing the capabilities of Large Language Models (LLMs) by providing context and real-time actions. Users can create customized AI Agents in minutes by selecting a foundational LLM, an Agent Type, and defining Actions controlled by the AI Agent. Monoid enables users to simulate AI Agents using APIs, chat with the Agents, and share Actions on a collaborative platform. The tool caters to various use-cases such as acting as a Shopping Assistant, Customer Support Agent, and Workflow Automator, offering seamless integration and open-source flexibility.

Lavo Life Sciences is an AI-accelerated crystal structure prediction application that helps in drug development by providing accurate predictions for small molecule drugs. The application utilizes AI technology to optimize solid-state formulations, reduce turnaround time, mitigate risks, and discover novel polymorphs, ultimately streamlining the pharmaceutical research and development process.

Interview Igniter is an AI-powered platform that provides job seekers with a robust interview simulation to fine-tune their skills, adapt to their learning curve, and get detailed feedback. It offers a comprehensive question bank, including industry-specific questions and actual interview questions asked by leading tech companies like Google, Facebook, Apple, and Amazon. Interview Igniter also provides a coding interview tool for practicing and improving coding skills, with interactive guidance and tailored learning experiences. The platform utilizes Conversation Intelligence tools for analyzing communication in real-time and providing nuanced feedback. Interview Igniter was created by Vidal Graupera, a former engineering manager at LinkedIn and Uber with over 20 years of experience hiring.

AdaSociety is a multi-agent environment designed for simulating social structures and decision-making processes. It offers built-in resources, events, and player interactions. Users can customize the environment through JSON configuration or custom Python code. The environment supports training agents using RLlib and LLM frameworks. It provides a platform for studying multi-agent systems and social dynamics.

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.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

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.

GROMACS Copilot is an agent designed to automate molecular dynamics simulations for proteins in water using GROMACS. It handles system setup, simulation execution, and result analysis automatically, providing outputs such as RMSD, RMSF, Rg, and H-bonds. Users can interact with the agent through prompts and API keys from DeepSeek and OpenAI. The tool aims to simplify the process of running MD simulations, allowing users to focus on other tasks while it handles the technical aspects of the simulations.

The ai_quant_trade repository is a comprehensive platform for stock AI trading, offering learning, simulation, and live trading capabilities. It includes features such as factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, and high-frequency trading. The repository provides tools for monitoring stocks, stock recommendations, and deployment tools for live trading. It also features new functionalities like sentiment analysis using StructBERT, reinforcement learning for multi-stock trading with a 53% annual return, automatic factor mining with 5000 factors, customized stock monitoring software, and local deep reinforcement learning strategies.

Qbot is an AI-oriented automated quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It provides a full closed-loop process from data acquisition, strategy development, backtesting, simulation trading to live trading. The platform emphasizes AI strategies such as machine learning, reinforcement learning, and deep learning, combined with multi-factor models to enhance returns. Users with some Python knowledge and trading experience can easily utilize the platform to address trading pain points and gaps in the market.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

AI Hospital is a research repository focusing on the interactive evaluation and collaboration of Large Language Models (LLMs) as intern doctors for clinical diagnosis. The repository includes a simulation module tailored for various medical roles, introduces the Multi-View Medical Evaluation (MVME) Benchmark, provides dialog history documents of LLMs, replication instructions, performance evaluation, and guidance for creating intern doctor agents. The collaborative diagnosis with LLMs emphasizes dispute resolution. The study was authored by Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xie, Fei Huang, and Jingren Zhou.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

SciML.ai is an open source software organization dedicated to unifying packages for scientific machine learning. It focuses on developing modular scientific simulation support software, including differential equation solvers, inverse problems methodologies, and automated model discovery. The organization aims to provide a diverse set of tools with a common interface, creating a modular, easily-extendable, and highly performant ecosystem for scientific simulations. The website serves as a platform to showcase SciML organization's packages and share news within the ecosystem. Pull requests are encouraged for contributions.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

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)

OASIS is a scalable, open-source social media simulator that integrates large language models with rule-based agents to realistically mimic the behavior of up to one million users on platforms like Twitter and Reddit. It facilitates the study of complex social phenomena such as information spread, group polarization, and herd behavior, offering a versatile tool for exploring diverse social dynamics and user interactions in digital environments. With features like scalability, dynamic environments, diverse action spaces, and integrated recommendation systems, OASIS provides a comprehensive platform for simulating social media interactions at a large scale.

Expert in OpenFOAM for CFD queries

Providing the most comprehensive, cutting-edge, and detailed technical guidance on the latest international CAE simulation technology（HyperMesh、THESEUS-FE、ANSA、STAR-CCM+、Amesim、Ncode、Adams、Abaqus）

The future of business education: Generate and test ideas in a complex global market simulation, populated by autonomous agents. Powered by the MANNS engine for unparalleled entity autonomy and simulated market forces

Cybersecurity simulation

I'm a ransomware negotiation simulation and analysis bot trained with over 131 real-life negotiations. Type "start negotiation" to begin! New feature: Type "threat actor personality test"

Interactive Simulation Game Solving Cold Cases Just Type Start to Begin

Containing The Entire Pokemon Universe | All Gen Pokemon, Items, Abilities, Berrys, Eggs, Region Details, Etc | Battle Simulation | Upload Image for Pokedex to ID | Fuse Pokemon | Explore || Type Menu to see full options.

Simulates and analyzes potential environmental disaster scenarios for preparedness.

Self-conversing theme park tycoon sim with memory of park details.

Formal OpenMC Python API and debugging expert.

AI Battle Realism Simulator | Realistic combat outcomes, with policy-compliant visuals

A product scenario simulator for Mid-Level Product Managers to help you improve your product decision-making

A strategic AI for simulating market scenarios and offering business insights.

SINU CITY のビジネス戦略ゲームにようこそ！

I simulate various businesses, guiding users through realistic scenarios. Make decisions, see their impact, and learn about business dynamics. Engaging and educational for aspiring entrepreneurs and business enthusiasts.

Simulates a geo-political grand strategy game.

A series of business scenarios for Tycoons of all ages!

Strategize in global crises and see what the AI will do in this interactive game!

清华大学级别的经济数学建模中文教师。

I simulate an ant colony's hive mind and translate its wisdom for humans.