Best AI tools for< Capital-raiser >

FundEze is an intelligent investment platform that revolutionizes the capital raise process by facilitating seamless discovery and swift closures. It connects entrepreneurs and investors to streamline and elevate the entirety of the capital-raising process. FundEze leverages AI-powered algorithms to efficiently match startups with potential investors, offering personalized advice and expert guidance to enhance investment success. The platform provides a user-friendly marketplace for innovative ideas and strategic investments, ensuring data security and value for money. FundEze aims to fuel access to capital for startups and scaleups, supporting local and international businesses in starting, scaling, and succeeding.

Raizer is an online platform that connects startups with investors. It offers a variety of features to help startups raise capital, including a database of over 55,000 investors, AI-powered outreach tools, and warm intro requests. Raizer also provides resources and guidance to help startups prepare for fundraising, such as a fundraising guide and tips from experienced founders.

Finta is the world's first GPT powered CRM, built explicitly for creating meaningful investor interactions and automatically driving your funnel forward with AI personalized email scripts. It is a tracker CRM with AI automation at its core, designed to help founders and investors connect and close deals. Finta uses AI to prospect the best investors for your company's offering, provides a shareable deal link for investors to commit and send funds, and automates your fundraising workflow end to end.

xZactly.ai is an AI tool that works with Artificial Intelligence start-up businesses and high growth companies to deliver accelerated revenue growth, AI specific sales, business development, and marketing expertise, seed and venture capital financing, business scale, and global expansion fund. The tool helps in connecting businesses and investors, providing go-to-market strategies, and offering triage, transformation, and turnaround solutions for AI and ML companies. With over 25 years of experience in sales, marketing, and business development, xZactly.ai aims to accelerate sales and boost revenue for AI-driven businesses by delivering expertise, strategy, and execution.

AngelList is a platform that provides tools for investors and innovators to grow their ventures. It offers services for venture funds, SPVs, scout funds, and digital subscriptions, aiming to streamline fundraising, deal management, and portfolio operations. With a focus on fueling innovation, AngelList facilitates connections between startups, investors, and industry professionals to drive successful investments and partnerships.

ProAI is an AI-powered platform that offers tailored solutions for starting, growing, and funding businesses. It provides tools for business planning, funding, market research, and an AI-based business advisor. The platform integrates resources to develop strategic plans, raise capital, optimize positioning, and provide on-demand guidance for growth. ProAI's AI Business Advisor offers customized recommendations and advice based on continuous analysis of data and metrics, helping businesses increase revenue, scale into new markets, and refine strategies.

DimeADozen.AI is an AI-powered business validation tool that helps entrepreneurs validate their business ideas in seconds. It provides a comprehensive business report that includes market research, launch and scale strategies, and fundraising advice. DimeADozen.AI is designed to help entrepreneurs make informed decisions about their business ideas and increase their chances of success.

Pitches.ai is an AI Pitch Deck Generator that helps founders and sales leads raise capital and close deals by generating AI-powered pitch decks. The platform offers better design, light and dark themes, AI-generated images, charts, and lower pricing, allowing users to create professional pitch presentations in minutes. Pitches.ai also provides expert services for pitch development and offers a range of resources to support users in crafting compelling pitches.

Angel Match is a comprehensive online platform that serves as the largest investor database on the internet. It connects startups with over 110,000 angel investors and venture capitalists, streamlining the process of finding funding and building investor relationships. The platform offers features such as investor search and filtering, diverse investor profiles, up-to-date data, and tools like email and elevator pitch generators. Angel Match aims to help businesses expand their network, save time on fundraising efforts, and secure investments from the right investors.

Neurala is a company that provides visual quality inspection software powered by AI. Their software is designed to help manufacturers improve their inspection process by reducing product defects, increasing inspection rates, and preventing production downtime. Neurala's software is flexible and can be easily retrofitted into existing production line infrastructure, without the need for AI experts or expensive capital expenditures. The company's software is used by a variety of manufacturers, including Sony, AITRIOS, and CB Insights.

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.

Mool Capital is an AI-powered platform that offers elevated investing and high fidelity research capabilities. The platform provides revolutionary AI tools for analyzing vast datasets in seconds, trustworthy analysis for informed investing, and performant portfolios curated for optimal performance. Users can access the latest market analysis, investment ideas, and premium articles to enhance their investment decisions. Mool Capital aims to empower investors with AI superpowers to make better investment choices and navigate the complex world of finance with confidence.

Rize Capital is an AI-powered investment chatbot designed to provide fast, accurate answers to complex financial and investment questions. It offers real-time data on stocks, cryptocurrencies, ETFs, and more, leveraging institutional investment data and large language models. The chatbot aims to simplify the journey through financial markets by providing personalized insights, portfolio analysis, and alternative data access.

Wale.ai is an AI co-pilot designed for venture capital investors. It automates the analysis and sentiment tracking of startup news, providing comprehensive sentiment analysis of positive and negative mentions. The platform offers advanced AI analytics, seamless integration with various tools, and delivers actionable insights to enhance portfolio or pipeline management. Founded by Sergey Mosunov and Valentin Riabtsev, Wale.ai is a data-driven VC tool that helps users stay informed and make informed investment decisions.

AI VC was a project that is no longer active. It was likely an AI tool or application related to venture capital. The project may have involved using artificial intelligence to analyze investment opportunities, predict market trends, or provide insights for venture capitalists. Unfortunately, the project is no longer operational, but it may have offered valuable resources and information for individuals interested in the intersection of AI and venture capital.

Jobs Originalis is an Intelligent Composable OS designed for the Private Capital Markets. It aims to help users save time and focus on the creative aspects of their work. The platform offers a range of tools and features to streamline processes and enhance productivity in the private capital market sector.

Village is an AI-powered platform that helps you build and manage your social capital. It provides you with the tools and insights you need to connect with the right people, build strong relationships, and achieve your goals.

Green Cubes is an AI application that provides precise volume, complexity, and biodiversity indication of terrestrial areas at scale for Digital Reality and Sponsorship. It shapes the digital twin of nature, offering transparency and trust through Measure, Report, and Verification (MVR) using data collection, AI computation, and 3D visualization. Green Cubes enables corporations to sponsor nature impact with confidence and transparency, contributing to the preservation of biodiversity.

NVentures is NVIDIA's venture capital arm that invests in technology visionaries solving complex problems to reshape the world. They build long-term partnerships with bold teams to accelerate their journeys. NVentures provides insightful diligence and resources to unlock the potential of innovative companies.

Eilla is an AI platform designed to streamline the workflow for Venture Capital (VC), Private Equity (PE), and Mergers & Acquisitions (M&A) professionals. It offers AI Analysts that support human experts in various tasks such as company research, valuation, market research, and scouting. Eilla's AI Analysts provide in-depth insights, identify competitors, valuation drivers, potential buyers, and more, helping users make informed decisions throughout the deal process. The platform is tailored for VC, PE, and M&A professionals, integrating seamlessly into their workflow to enhance productivity and efficiency.

Parakeet is a Go library for creating GenAI apps with Ollama. It enables the creation of generative AI applications that can generate text-based content. The library provides tools for simple completion, completion with context, chat completion, and more. It also supports function calling with tools and Wasm plugins. Parakeet allows users to interact with language models and create AI-powered applications easily.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

A curated list of Generative AI projects, tools, artworks, and models

ReEdgeGPT is a tool designed for reverse engineering the chat feature of the new version of Bing. It provides documentation and guidance on how to collect and use cookies to access the chat feature. The tool allows users to create a chatbot using the collected cookies and interact with the Bing GPT chatbot. It also offers support for different modes like Copilot and Bing, along with plugins for various tasks. The tool covers historical information about Rome, the Lazio region, and provides troubleshooting tips for common issues encountered while using the tool.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

WebScout is a versatile tool that allows users to search for anything using Google, DuckDuckGo, and phind.com. It contains AI models, can transcribe YouTube videos, generate temporary email and phone numbers, has TTS support, webai (terminal GPT and open interpreter), and offline LLMs. It also supports features like weather forecasting, YT video downloading, temp mail and number generation, text-to-speech, advanced web searches, and more.

Comet Opik is a repository containing two main services: a frontend and a backend. It provides a Python SDK for easy installation. Users can run the full application locally with minikube, following specific installation prerequisites. The repository structure includes directories for applications like Opik backend, with detailed instructions available in the README files. Users can manage the installation using simple k8s commands and interact with the application via URLs for checking the running application and API documentation. The repository aims to facilitate local development and testing of Opik using Kubernetes technology.

The Google Gen AI SDK is a Python library that provides access to Google AI and Vertex AI services. It allows users to create clients for different services, work with parameter types, models, generate content, call functions, handle JSON response schemas, stream text and image content, perform async operations, count and compute tokens, embed content, generate and upscale images, edit images, work with files, create and get cached content, tune models, distill models, perform batch predictions, and more. The SDK supports various features like automatic function support, manual function declaration, JSON response schema support, streaming for text and image content, async methods, tuning job APIs, distillation, batch prediction, and more.

Awesome European Tech is an up-to-date list of recommended European projects and companies curated by the community to support and strengthen the European tech ecosystem. It focuses on privacy and sustainability, showcasing companies that adhere to GDPR compliance and sustainability standards. The project aims to highlight and support European startups and projects excelling in privacy, sustainability, and innovation to contribute to a more diverse, resilient, and interconnected global tech landscape.

This is a no-nonsense async Scala client for OpenAI API supporting all the available endpoints and params including streaming, chat completion, vision, and voice routines. It provides a single service called OpenAIService that supports various calls such as Models, Completions, Chat Completions, Edits, Images, Embeddings, Batches, Audio, Files, Fine-tunes, Moderations, Assistants, Threads, Thread Messages, Runs, Run Steps, Vector Stores, Vector Store Files, and Vector Store File Batches. The library aims to be self-contained with minimal dependencies and supports API-compatible providers like Azure OpenAI, Azure AI, Anthropic, Google Vertex AI, Groq, Grok, Fireworks AI, OctoAI, TogetherAI, Cerebras, Mistral, Deepseek, Ollama, FastChat, and more.

This repository provides a hands-on lab for learning about Neo4j and Google Cloud Vertex AI. It is intended for data scientists and data engineers to deploy Neo4j and Vertex AI in a Google Cloud account, work with real-world datasets, apply generative AI, build a chatbot over a knowledge graph, and use vector search and index functionality for semantic search. The lab focuses on analyzing quarterly filings of asset managers with $100m+ assets under management, exploring relationships using Neo4j Browser and Cypher query language, and discussing potential applications in capital markets such as algorithmic trading and securities master data management.

llm-swarm is a tool designed to manage scalable open LLM inference endpoints in Slurm clusters. It allows users to generate synthetic datasets for pretraining or fine-tuning using local LLMs or Inference Endpoints on the Hugging Face Hub. The tool integrates with huggingface/text-generation-inference and vLLM to generate text at scale. It manages inference endpoint lifetime by automatically spinning up instances via `sbatch`, checking if they are created or connected, performing the generation job, and auto-terminating the inference endpoints to prevent idling. Additionally, it provides load balancing between multiple endpoints using a simple nginx docker for scalability. Users can create slurm files based on default configurations and inspect logs for further analysis. For users without a Slurm cluster, hosted inference endpoints are available for testing with usage limits based on registration status.

AI2Apps is a visual IDE for building LLM-based AI agent applications, enabling developers to efficiently create AI agents through drag-and-drop, with features like design-to-development for rapid prototyping, direct packaging of agents into apps, powerful debugging capabilities, enhanced user interaction, efficient team collaboration, flexible deployment, multilingual support, simplified product maintenance, and extensibility through plugins.

The AI Fairness 360 toolkit is an open-source library designed to detect and mitigate bias in machine learning models. It provides a comprehensive set of metrics, explanations, and algorithms for bias mitigation in various domains such as finance, healthcare, and education. The toolkit supports multiple bias mitigation algorithms and fairness metrics, and is available in both Python and R. Users can leverage the toolkit to ensure fairness in AI applications and contribute to its development for extensibility.

Trubrics is a Python client for event tracking and analyzing LLM interactions. It offers fast and non-blocking queuing system with automatic flushing to Trubrics API. Users can track events and LLM interactions, adjust logging verbosity, and configure flush intervals and batch sizes. The tool simplifies tracking user interactions and analyzing data for LLM applications.

Language Models is a Python package that provides building blocks to explore large language models with as little as 512MB of RAM. It simplifies the usage of large language models from Python, ensuring all inference is performed locally to keep data private. The package includes features such as text completions, chat capabilities, code completions, external text retrieval, semantic search, and more. It outperforms Hugging Face transformers for CPU inference and offers sensible default models with varying parameters based on memory constraints. The package is suitable for learners and educators exploring the intersection of large language models with modern software development.

Unitxt is a customizable library for textual data preparation and evaluation tailored to generative language models. It natively integrates with common libraries like HuggingFace and LM-eval-harness and deconstructs processing flows into modular components, enabling easy customization and sharing between practitioners. These components encompass model-specific formats, task prompts, and many other comprehensive dataset processing definitions. The Unitxt-Catalog centralizes these components, fostering collaboration and exploration in modern textual data workflows. Beyond being a tool, Unitxt is a community-driven platform, empowering users to build, share, and advance their pipelines collaboratively.

GPTSwarm is a graph-based framework for LLM-based agents that enables the creation of LLM-based agents from graphs and facilitates the customized and automatic self-organization of agent swarms with self-improvement capabilities. The library includes components for domain-specific operations, graph-related functions, LLM backend selection, memory management, and optimization algorithms to enhance agent performance and swarm efficiency. Users can quickly run predefined swarms or utilize tools like the file analyzer. GPTSwarm supports local LM inference via LM Studio, allowing users to run with a local LLM model. The framework has been accepted by ICML2024 and offers advanced features for experimentation and customization.

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