Building a product that uses several different AI models — say, one for video generation, another for images, another for chat — usually means signing up for and integrating each vendor's API separately, with its own billing, docs and quirks. Crun AI collapses that into a single, OpenAI-compatible API: one integration gives you access to over 100 models across video, image, audio and chat. It exposes models like Sora 2, Veo 3.1, Seedance 2.0, Wan 2.6 and various Flux variants for image/video, Suno for music, and GPT, Claude and Gemini for chat, billed on a pay-as-you-go, point-based system starting at $5 with no mandatory subscription. It's built to be a near drop-in replacement for existing OpenAI-style code (claimed one-line migration), includes smart routing for the fastest available endpoint, usage monitoring, and a "Crun Skill" feature for plugging the API into AI agents. It's aimed at product teams building creative tools, ad platforms, UGC apps or media-analysis services who want to avoid managing many separate model vendors.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs | — | |
| 2 | Développeurs | — | |
| 3 | Développeurs | — | |
| 4 | Entreprises réglementées : finance, énergie, comptabilité, gestion immobilière | — | |
| 5 | Entreprises voulant déployer des agents IA avec exigences de gouvernance, d'audit et de conformité | — | |
| 6 | Ingénieurs IA et automatisation construisant des modèles « computer-use » ou des agents connectés MCP ; équipes documentant leurs workflows | — | |
| 7 | Professionnels et particuliers suivant un sujet précis (entreprise, personne, marché de niche) qui veulent une veille consolidée | — | |
| 8 | Utilisateurs Mac, développeurs et créateurs cherchant des outils IA natifs macOS | — | |
| 9 | Fondateurs, product managers, UX researchers, équipes stratégie voulant centraliser et exploiter leur recherche produit | — | |
| 10 | Chercheurs, rédacteurs et professionnels voulant réduire le risque d'erreur factuelle de l'IA | — | |
| 11 | Équipes choisissant entre plusieurs fournisseurs/modèles IA pour une tâche de production précise | — | |
| 12 | Développeurs, ingénieurs IA et équipes évaluant quel modèle de langage convient le mieux à un cas d'usage précis | — |
Lets regulated companies (banks, energy firms, accounting shops) use AI agents to automate real decisions — while keeping a complete, tamper-proof record of exactly why the AI decided what it decided, for when an auditor asks.
A platform for companies that want to build their own AI agents without getting locked into one AI provider — you describe what you want the agent to do, and it deploys it on your own servers or cloud with logging and controls built in.
Records how your team actually works on a Mac — screen, clicks, keystrokes — and turns it into labeled data for training AI models.
Tell it what you care about — a company, a person, a niche topic — and Zetik reads news, podcasts, blogs, GitHub and research papers 24/7, then briefs you on what actually matters instead of you doom-scrolling for it.
A curated directory of 574+ AI apps built specifically for Mac, organized by category — a starting point when you know you want an AI tool for coding, writing or image generation on macOS but don't know which one.
Dumps all your scattered product research — call transcripts, survey notes, competitor decks — into one place and lets AI turn it into an evidence-backed strategy document, instead of decisions made on gut feel.
Asks up to 5 AI models (ChatGPT, Gemini, Claude, DeepSeek, Mistral) the same question at once and shows where they agree, disagree, and what sources back each answer.
AI performance intelligence platform that benchmarks AI providers and models on quality, cost, latency, and safety before you commit to one in production.
Lets you build a custom benchmark and run it against 100+ AI models from different providers, side by side, without needing your own API keys or writing evaluation code.
