In most companies, getting a specific data answer means filing a request and waiting for a data analyst to write a query — a bottleneck that grows as more people across the company want data-driven answers. Chat-with-your-data tools promise to remove that wait, but many are prone to confidently making up numbers. Upsolve AI's pitch is doing this properly: fast AND grounded in your actual data. Upsolve AI is a platform for building and deploying "data agents" that answer natural-language questions about a company's data, built around a three-layer context architecture (Structure, Meaning, Trust) specifically designed to reduce hallucinated answers. It connects to 30+ SQL databases (Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, and more), can import an existing dbt project, and deploys across Slack, Teams, Claude, ChatGPT, Cursor, or embedded via SDK. Agent Studio gives data teams observability into every question asked, full conversation tracing, and a built-in evaluation agent that grades answers for hallucination before they reach end users. It's a Y Combinator (W24) company founded by a team that built HyperAuto at Palantir.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Équipes trading (matières premières/énergie), supply chain, cabinets de conseil, e-commerce/retail, entreprises | — | |
| 2 | Équipes data science et analytics en entreprise qui font des analyses récurrentes sur le même entrepôt et veulent conserver la connaissance accumulée entre projets | — | |
| 3 | Startups SaaS et sites indépendants qui veulent des analytics web + produit combinées, sans cookies ni bannière de consentement | — | |
| 4 | Équipes data qui veulent une découverte proactive et auditée d'insights dans leur entrepôt de données, sans attendre qu'un humain pose la bonne question | — | |
| 5 | Journalistes, chercheurs, analystes et particuliers curieux voulant une vue d'ensemble de l'actualité géopolitique mondiale sans payer pour une plateforme OSINT professionnelle | — | |
| 6 | Développeurs, chercheurs et analystes voulant interroger des données sur les startups YC/a16z/Product Hunt sans scraper eux-mêmes | — | |
| 7 | Développeurs et équipes construisant des agents IA ou des pipelines de données qui ont besoin d'extraire des données web structurées sans gérer leur propre infrastructure de scraping | — | |
| 8 | Équipes produit d'entreprises B2B software voulant du feedback utilisateur sans surcharge RGPD | — | |
| 9 | Équipes marketing, produit, insights et agences voulant valider des idées rapidement avant une étude complète | — | |
| 10 | Investisseurs individuels et professionnels de la finance voulant des tableaux de bord sans compétences tableur/terminal | — | |
| 11 | Analystes et petites équipes voulant explorer de gros volumes de données sans monter un data warehouse | — | |
| 12 | Chefs de produit, équipes product ops, design et agents IA dans des entreprises SaaS voulant un contexte client unifié et à jour | — |
Instead of learning SQL or waiting for someone on the data team to build a chart, Findly lets a supply chain manager or trader type a plain-English question about their data — "how did shipping costs change last month" — and get back an answer, a chart, a
A data-science notebook where an AI agent already knows what's in your warehouse and remembers what your team learned last quarter, instead of starting from a blank cell every time.
A Google Analytics alternative that tracks your website and product without cookies, without asking for consent banners, and without sending anyone's personal data anywhere.
An open-source AI agent that logs into your data warehouse overnight, writes its own SQL, double-checks every finding against the real data, and hands you a ranked list of things worth looking at — before you've asked a single question.
A free, live world map that pulls together hundreds of news feeds and turns them into a single dashboard showing where things are heating up around the globe, instead of you checking dozens of news sites separately.
A spreadsheet that can quietly run real SQL underneath — load millions of rows, ask a question in plain English, and let the AI turn it into the right query and a live report.
One shared, always-up-to-date customer file instead of scattered notes — Propane pulls signals from every tool your team uses (support tickets, calls, billing, feedback) into a single live view, so product decisions aren't based on whoever happened to rea
