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/ingénierie ayant besoin de pipelines de streaming SQL simples sans opérer de cluster | — | |
| 3 | Développeurs et équipes construisant des pipelines RAG, de l'agrégation de contenu ou des applications IA avec exigence de résidence des données en UE | — | |
| 4 | Propriétaires de sites et équipes cherchant une alternative à Google Analytics respectueuse de la vie privée, sans bannière cookies. | — | |
| 5 | Économistes, analystes financiers, chercheurs et professionnels de la donnée | — | |
| 6 | Équipes data et analytics implémentant des agents IA pour l'analyse de données | — | |
| 7 | Analystes de données, comptables, personnel administratif, équipes finance et fondateurs manipulant des exports de données ou listes de contacts | — | |
| 8 | Professionnels SEO, développeurs intégrant la recherche, équipes de veille concurrentielle, agences marketing, chercheurs en données ayant besoin de résultats multi-moteurs sans dépendance à un fournisseur | — | |
| 9 | CFOs, CIOs, équipes IT et conseils d'administration d'entreprises dépensant significativement sur plusieurs outils IA | — | |
| 10 | Équipes data et analystes automatisant des rapports récurrents | — | |
| 11 | Data scientists / ML engineers préparant des datasets pour du fine-tuning | — | |
| 12 | Équipes business/produit voulant des dashboards rapides sans analyste dédié | — |
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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