Eden AI

Eden AI is a developer-first platform that simplifies access to a wide range of artificial intelligence services by providing a single, standardized API that aggregates models from multiple providers. Rather than wiring separate vendor accounts and managing different SDKs, teams can call text, image, speech, OCR, translation, and other multimodal capabilities through one endpoint, switch providers with minimal code changes, and compare performance and cost across options. The company emphasizes transparent, pay-as-you-go pricing so organizations are billed per request at provider rates, and teams can bring their own provider keys when they want to use existing contracts or volume discounts. It also offers practical tooling for production usage: centralized billing and monitoring, request batching, caching, cost dashboards, model comparison features, and multi-project API key management that together reduce operational friction and help control spend. For users who prefer low-code or visual automation, it provides ready-made integrations and connectors — including Make, Zapier, Bubble, LangChain, and other platforms — enabling automated workflows that tie AI tasks into email, spreadsheets, messaging apps, and business systems.

Beyond the off-the-shelf API, the company builds custom AI APIs and production deployments for teams that need a tailored stack, bringing experience in LLMs, NLP, computer vision, and OCR so organizations can accelerate time-to-market without engineering everything from scratch. Privacy and governance are treated as configurable priorities: it does not retain request data by default and surfaces controls around logs and histories only when users opt in, which appeals to teams handling sensitive documents or regulated workloads. The company positions itself to serve individual developers, startups, small and medium businesses, and enterprises by combining clear documentation, sample code, onboarding credits, and chat support to reduce integration headaches. By standardizing response formats and exposing feature parity across suppliers, Eden AI aims to make it simpler to evaluate tradeoffs between latency, quality, and price and to iterate rapidly on models. Ultimately, the platform is designed to let product teams experiment with and deploy multimodal AI capabilities quickly while preserving operational visibility and cost disci