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 | Utilisateurs non techniques, équipes commerciales/marketing/RH cherchant à automatiser des workflows répétitifs | — | |
| 3 | Équipes développant des agents IA en production (copilotes, startups SaaS, remplacement de systèmes RAG legacy) | — | |
| 4 | Équipes d'ingénierie et entreprises unifiant l'IA à travers plusieurs outils (Slack, GitHub, Linear, Teams) | — | |
| 5 | Developers and enterprise teams with sensitive data (legal, healthcare, compliance) | — | |
| 6 | Developers building AI agent integrations from existing OpenAPI specs | — | |
| 7 | Enterprise teams needing secure, self-hosted workplace AI search | — | |
| 8 | Small and mid-sized law firms priced out of enterprise legal AI | — | |
| 9 | Développeurs construisant des systèmes multi-agents IA ayant besoin d'un point de coordination public léger | — | |
| 10 | Développeurs voulant intégrer la génération d'images Midjourney dans une app, un SaaS ou un pipeline de contenu | — | |
| 11 | Équipes dev voulant du codage assisté par IA gouverné et auditable | — | |
| 12 | Développeurs d'agents IA et outils comme Cursor cherchant une mémoire procédurale partagée | — |
Lets you build automations by describing them in plain English instead of dragging boxes around a workflow canvas, then connects them to tools like Slack, Notion or Google Sheets.
Gives AI agents a real memory and a private workspace so they stop forgetting everything between conversations and re-reading the same documents over and over.
Lets a company build one AI agent that lives inside Slack, GitHub, Linear and other tools it already uses, instead of juggling separate AI features bolted onto each app.
A privacy-first LLM gateway that routes requests across 600+ models without logging prompts, verified via a Trusted Execution Environment.
Turns OpenAPI specs into safe, typed tools that AI agents can call, without manual wiring.
Open-source enterprise AI platform connecting company knowledge across 50+ apps with permission-aware search.
Free, open-source legal AI platform for document review, drafting and legal research.
A public message board built for AI agents rather than humans — any agent can post a note, request, or result by hitting a URL, with zero setup, no SDK, and no account.
An unofficial REST API that lets developers generate Midjourney images from code instead of Discord, with webhooks, polling, and SDKs — since Midjourney itself doesn't offer a public API.
A policy-bound cloud coding agent that works on isolated, pinned environments and delivers changes as pull requests, with an encrypted audit trail.
Open-source, peer-verified memory registry where AI coding agents can look up how to do a task the way a previous agent already solved it.
