Browser-based AI image annotation for computer vision — draw one box and DINO-X labels every matching object across your whole dataset.
Data & Analytics AI Tools
AI for analyzing data and finding insights. Compare features, pricing models, and use cases across the tools in this category.
Top data & analytics AI tools
Turn a Postgres database into working memory for AI agents — relational rows, graph traversal and vector search fused into one ranked, token-budgeted context block.
One API to search, scrape, crawl, map and monitor the web, returning clean structured text that AI agents and RAG pipelines can use directly.
An OpenTelemetry-native control plane for AI agents that enforces policy mid-run instead of paging you after the incident, with cost attribution and EU AI Act evidence built in.
A vectorless RAG engine that builds a tree index of long PDFs and lets an LLM reason its way to the right section, with page-level citations.
Agentic data platform that turns business questions into defensible, auditable narratives — with sources, assumptions and lineage attached.
Reads your production chat and voice agent conversations to surface the silent failures, frustration loops and policy breaches that offline evals never catch.
Web data extraction APIs for AI agents — 75+ ready-made scrapers for LinkedIn, Amazon, Google Maps, Reddit and X, priced per result.
Pipeline, encrypted Iceberg lake and query engine in one, with an MCP server that lets Claude and Codex query your data directly.
Warehouse-native product analytics that joins AI agent traces to user behaviour, so you can see which tool calls actually convert.
Describe the data you want in plain English and BrowserAct builds a reusable scraper that runs in a real browser, with proxies and CAPTCHA handled.
Session replay, error tracking and vision-AI agents in one SDK — agents watch real user sessions on a schedule, file the bugs they find and post to Slack.
Build systematic investment strategies with AI, validate them on out-of-sample and live paper data, then let an MCP-connected agent mirror them in your own brokerage account.
Privacy-first search infrastructure for AI agents, with smart routing, structured results, and native API, MCP, and Skill access.
One REST API that scrapes, crawls, and extracts the web into clean Markdown and schema-validated JSON for AI agents.
Turn any website into clean markdown or structured JSON — crawling, JavaScript rendering, and extraction in one API.
AI built for the rigour of finance — run structured analysis across thousands of documents with auditable answers.
A marketplace of thousands of ready-made scrapers and automation tools, plus the cloud to run your own.
A search API purpose-built for RAG and agents — returns synthesised, cited content instead of a list of links.
A search engine built for AI — embeddings-based retrieval that finds pages by meaning, not keyword overlap.
ETL for unstructured data — turn PDFs, slides, emails, and images into clean, AI-ready structured output.
An open-source AI-native database combining vector search, structured filtering, and built-in model integrations.
The embedding database that starts as a Python import and grows into a distributed cloud service.
An open-source vector search engine written in Rust — fast, memory-efficient, and self-hostable.
A fully managed vector database for semantic search and retrieval at billion-scale, with no infrastructure to run.
The standard experiment tracker for machine learning, now with tracing and evaluation for LLM applications.
Evaluation-first AI development — measure whether a prompt or model change actually improved anything.
Open-source LLM observability — trace, evaluate, and improve AI applications with production data.
Wolfram Alpha is a computational knowledge engine.
Chat with your data — upload spreadsheets and CSVs to run analysis, statistics, and visualizations in plain language.