Best Data & Analytics

Hugging Face is the leading open-source platform for sharing and deploying AI models. It hosts hundreds of thousands of models, datasets, and Spaces for the ML community to collaborate and build.

Perplexity is an AI search engine that provides direct answers with cited sources. It combines web search with LLMs to deliver researched, referenced responses.

Kagi is a paid search engine that offers ad-free, privacy-respecting results enhanced with AI features. It includes AI summaries, fast answers, and customizable search result rankings.

Supabase is an open-source Firebase alternative with AI capabilities. It offers vector embeddings, AI-assisted SQL queries, and pgvector integration for building AI-powered applications with a Postgres backend.

Elicit is an AI research assistant that helps researchers find, analyze, and synthesize scientific papers. It uses language models to search across millions of papers and extract key findings.

CrowdStrike uses AI and machine learning at the core of its Falcon platform for endpoint protection. Charlotte AI provides a conversational interface for threat hunting and security operations.

Hex is a collaborative data platform where teams can write SQL and Python, build visualizations, and share interactive data apps. Its AI assistant helps write queries.

Equals is an AI-native spreadsheet designed for business teams to analyze data and create reports. It connects directly to databases and SaaS tools, with AI to help write formulas and generate insights.

Consensus is an AI-powered search engine that finds and synthesizes answers from peer-reviewed scientific papers. It helps users get evidence-based answers backed by academic research.

Tableau AI brings natural language queries, automated insights, and predictive analytics to Tableau's industry-leading visualization platform.

Deepnote is a collaborative data science notebook that integrates AI to help with code generation, data exploration, and visualization. It supports Python, SQL, and R with real-time team collaboration.

Phind is an AI-powered search engine designed specifically for developers. It combines web search with AI to provide code-focused answers, explanations, and solutions to technical questions.

Julius AI lets you upload data and analyze it through conversation. It generates charts, runs statistics, and creates reports from natural language questions.

Rows is a modern spreadsheet with built-in AI that can analyze data, create charts, summarize information, and connect to live data sources. It combines spreadsheet functionality with AI-powered insights.

Observable is a platform for creating interactive data visualizations and analyses using JavaScript notebooks. Its AI features help generate charts, clean data, and build dashboards collaboratively.

LangSmith by LangChain provides observability, testing, and evaluation tools for LLM applications. It helps developers debug, monitor, and improve their AI applications with tracing and dataset management.

Scite is a research platform that uses AI to analyze how scientific papers cite each other. It shows whether citations support, contradict, or merely mention claims, helping researchers evaluate evidence.

ThoughtSpot enables business users to search and analyze data using natural language queries. Its AI engine, SpotIQ, automatically surfaces insights, anomalies, and trends from your data warehouse.

Clari uses AI to provide complete revenue visibility and forecasting accuracy. It analyzes signals across emails, calls, and CRM data to predict deal outcomes and identify revenue leak.

Cohere provides enterprise-grade language AI models for text generation, classification, and semantic search. Its platform is designed for businesses needing secure, scalable NLP capabilities with fine-tuning support.

Qualtrics AI brings artificial intelligence to its experience management platform, analyzing customer, employee, product, and brand data. It uses AI to surface insights and predict behavior across millions of interactions.

People.ai automatically captures sales activity data and uses AI to provide insights on deal health, rep performance, and buyer engagement. It eliminates manual CRM data entry and surfaces revenue risks.

Polymer transforms spreadsheet data into interactive dashboards and insights using AI. It automatically identifies trends, creates visualizations, and lets business users explore data without writing formulas.

Akkio enables businesses to build and deploy AI models for predictions, lead scoring, and forecasting without writing code. Aimed at agencies and marketing teams.

Viable uses AI to analyze customer feedback from surveys, reviews, and support tickets. It surfaces actionable product insights and sentiment trends.

Darktrace uses self-learning AI to detect and respond to cyber threats in real time. It models normal network behavior and identifies anomalies across cloud, email, endpoints, and operational technology.

Datarails is an AI-powered financial planning and analysis platform. It consolidates data from spreadsheets and ERPs, automates reporting, and provides AI-driven insights for finance teams.

Stack AI is a no-code platform for building AI-powered workflows and applications. It supports document processing, chatbots, and data extraction with enterprise-grade security and deployment.

ZoomInfo provides B2B contact and company data with AI-powered intent signals. It helps sales and marketing teams identify and reach potential buyers.

Lusha provides accurate B2B contact information including direct dials and email addresses. It integrates with CRMs and offers prospecting tools to help sales teams find and connect with decision-makers.

MindsDB brings machine learning directly into your database with AI Tables. You can create, train, and query ML models using SQL, making AI accessible to anyone who knows SQL without needing data science expertise.

You.com is an AI-powered search engine that provides direct answers, summaries, and citations. It offers multiple AI modes for different tasks while prioritizing user privacy and customization.

Obviously AI lets anyone build predictive models without coding. Upload a dataset, pick what you want to predict, and get a trained model in minutes.