Building an app with AI usually means picking one AI company's model and writing code specifically for it — which becomes a headache the moment you want to try a better or cheaper model, or the moment a customer in Europe asks where their data is actually stored. Opper AI solves both problems: it sits between your app and over 300 different AI models from more than 30 providers, so you write your code once and can swap models without rewriting anything, while your requests can be routed and stored entirely on servers inside the EU. Opper AI is an AI gateway aimed at developers and companies that need multi-model flexibility without vendor lock-in, and specifically at teams that need GDPR-grade data handling — a single sub-processor model, AES-256 encryption at rest, and an optional Zero Data Retention mode for enterprise customers. It's compatible with the OpenAI SDK, so migrating existing integrations is largely a config change, and it adds a Control Plane layer on top with observability, routing logic, content filtering, and audit trails for teams that need to see and govern what their AI features are actually doing in production. Pricing is pay-as-you-go: a 3% platform fee on the base Gateway plan, 5.5% plus per-use charges once you turn on the Control Plane's observability features, and custom Enterprise pricing with volume discounts. Failed or fallback requests aren't billed.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs | — | |
| 2 | Développeurs et organisations construisant des agents IA en production nécessitant conformité, audit et gouvernance des données dès la conception | — | |
| 3 | Entreprises de taille moyenne à grande voulant automatiser support client, ventes et processus internes | — | |
| 4 | Développeurs et utilisateurs d'agents IA cherchant à étendre les capacités de leur assistant sans configuration technique par service | — | |
| 5 | Fondateurs non-techniques, opérateurs solo et petites équipes cherchant de l'automatisation IA sans compétences d'ingénierie | — | |
| 6 | Organisations déployant des modèles IA open source en production, cherchant une inférence rentable et transparente | — | |
| 7 | Développeurs construisant des systèmes multi-agents nécessitant une coordination concurrente et réactive, sans workflows prédéfinis rigides | — | |
| 8 | Analystes financiers, gestionnaires de portefeuille, traders et équipes de recherche menant des analyses de marché et due diligence d'investissement | — | |
| 9 | Grandes organisations avec des processus de revue sécurité/conformité qui veulent déployer des agents IA en interne sans perdre le contrôle | — | |
| 10 | Développeurs qui construisent des workflows basés sur Claude et ont besoin d'analyser du contenu vidéo (YouTube, TikTok, Vimeo, fichiers locaux) | — | |
| 11 | Professionnels et équipes qui veulent déléguer des tâches répétitives (réponses, nettoyage d'espace de travail, résumés quotidiens) à un agent IA personnel | — | |
| 12 | Investisseurs particuliers familiers avec l'investissement value qui veulent un assistant de recherche IA structuré plutôt que des conseils génériques | — |
A free, open-source memory system for AI agents that remembers things the same reproducible way every time — instead of the usual approach where an agent's memory changes slightly each time it searches, which makes its behavior hard to trust or audit.
Turns your company's documents, videos, and internal systems into an AI agent that answers customers and staff over WhatsApp, chat, email, or phone.
A service that lets your AI agent instantly use thousands of tools and APIs — sending an email, generating an image, scraping a page — without you creating an account or an API key for each one, paying pennies per call as it goes.
An AI assistant you text like a coworker — over iMessage, WhatsApp or Slack — that researches prospects, drafts outreach, watches your competitors and can even call your phone when something needs a real conversation.
A service that figures out the fastest, cheapest way to run an open-source AI model in production for you — picking the right GPU, serving engine and settings automatically — instead of you spending weeks tuning it yourself.
A free, open-source toolkit for making several AI agents work together at the same time on a shared task, reacting to each other's progress in real time instead of waiting in a rigid, one-at-a-time pipeline.
An open-source AI research assistant for investing that actually runs code against real market data — building charts, DCF models and earnings analyses — instead of just chatting about stocks.
Lets a whole company build and run AI agents while giving the security team a way to see and control exactly what those agents are allowed to do — like adding guardrails and a paper trail to AI automation.
A free tool that lets Claude actually "watch" a video by pulling out the key frames and a timestamped transcript, instead of only being able to read a video's title and description.
An AI clone that learns how you work and starts handling routine tasks — replies, cleanup, daily wrap-ups — before you even ask.
A free toolkit that has an AI assistant research a stock the way famous long-term investors like Warren Buffett would — checking the business fundamentals carefully instead of chasing short-term price moves.
