Prime Intellect

Prime IntellectSince 2026-08

Prime Intellect is a decentralized AI compute platform and distributed training infrastructure. It aggregates globally distributed GPUs into a unified cluster, enabling developers and researchers to train and fine-tune large-scale open AI models at up to 70% lower compute costs.

Prime Intellect provides high-bandwidth distributed training protocols (Prime Framework) capable of training across heterogeneous GPU nodes globally. It features on-demand spot instances, serverless inference endpoints, and open-source model weights for researchers.

RagieSince 2025-08

Ragie is a fully managed Retrieval-Augmented Generation (RAG) backend engineered to eliminate the operational complexity of building and maintaining custom vector pipelines. It handles document parsing, semantic chunking, embedding generation, vector indexing, and hybrid re-ranking through a single high-performance API endpoint. Instead of configuring separate chunking scripts, vector databases, and re-ranking algorithms, engineering teams connect Ragie directly to their data sources. Ragie continuously keeps embeddings synchronized and provides sub-100ms context retrieval designed specifically for conversational AI assistants and knowledge search engines.

Under the hood, Ragie integrates state-of-the-art document layout models capable of extracting tables, code snippets, PDFs, Notion pages, and Google Docs without formatting degradation. Its retrieval engine blends dense semantic vector search with sparse BM25 keyword matching and cross-encoder re-ranking for maximum recall. Ragie features built-in partition-level access control, ensuring that multi-tenant SaaS applications can isolate tenant data securely while querying a shared knowledge infrastructure.