Cadenity provides a cloud‑based AI platform that lets developers integrate large language models, embeddings, and vector similarity search via a unified REST and SDK API. The service abstracts model hosting, automatic scaling, and data management, offering built‑in security, monitoring, and pay‑as‑you‑go pricing for SaaS teams and enterprise developers.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and developers need a flexible, AI‑driven platform that can integrate large language models, embeddings, and vector search into their applications without building and maintaining complex infrastructure.
Solution
Cadenity offers a cloud‑based AI platform that abstracts model hosting, scaling, and data management behind a unified API. Users can select from pre‑trained large language models or upload custom models, generate embeddings, and perform fast vector similarity searches. The service handles compute provisioning, load balancing, and security, allowing developers to focus on application logic. Integrated monitoring and analytics provide usage insights and performance metrics. Cadenity’s pay‑as‑you‑go pricing lets customers scale resources up or down based on demand.
Target Audience
Primary customers are SaaS product teams, AI‑focused startups, and enterprise developers who need to embed generative AI capabilities and vector search into their applications.
Features
- Unified REST and SDK interfaces for LLM inference, embedding generation, and vector search
- Support for major open‑source and commercial language models with easy model swapping
- Automatic scaling of GPU/CPU resources with built‑in load balancing
- Persistent vector database with configurable indexing (e.g., HNSW, IVF) for low‑latency similarity queries
- Role‑based access control and end‑to‑end encryption for data security
- Real‑time usage dashboards and API latency monitoring
- Integration hooks for popular development frameworks and CI/CD pipelines