Reading raw business data usually requires either SQL knowledge or asking a data-savvy colleague to build a report, both of which slow down decisions that need to happen quickly. Findly tries to remove that dependency by combining a large language model with a semantic layer that understands the structure of a company's data, so a question in plain English produces a real, grounded answer. Findly is a conversational business intelligence platform aimed particularly at trading teams (commodity and energy markets), supply chain managers, consulting firms, and e-commerce/retail businesses that need forecasting alongside standard reporting. Beyond querying, it offers price forecasting and risk management alerts, connects to Google Analytics, BigQuery, Google Search Console, Slack, Stripe, and HubSpot among others, and generates reports with scheduled email delivery. It's SOC 2 Type II and ISO 27001 compliant, with a free tier for up to 3 users and a currently discounted Standard plan.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Équipes data mid-market et enterprise, responsables data/analytics, équipes IA voulant démocratiser l'accès aux données | — | |
| 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 a non-technical employee waiting days for a data analyst to answer a question like "which region's sales dropped last quarter," Upsolve AI lets them ask that question in plain English and get a verified, sourced answer directly — while giving t
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