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Agentic AI in "AI Model Serving Platforms" Category

GLM‑4.5 is an open‑source, Mixture‑of‑Experts (MoE) large‑language model from Z.ai, designed for intelligent agent applications. It features 355 B parameters (32 B active) with an efficient ’thinking/non‑thinking’ hybrid reasoning mode and 128 K context length. A smaller variant, GLM‑4.5‑Air, offers 106 B parameters (12 B active) for more efficient deployments. GLM‑4.5 excels at reasoning, coding, and tool‑calling tasks and ranks among the top performers on benchmarks compared with models like o3, Grok‑4, Claude Sonnet, and GPT‑4.1.

GLM‑4.5

glm-4-5

Open-source hybrid‑reasoning MoE foundation model optimized for intelligent agent tasks with 128K context and tool use.

Jina AI is an open‑source platform (founded 2020) offering modular AI tools for building neural search, RAG and agentic applications. Its Search Foundation includes embeddings, rerankers, Reader, DeepSearch, classifiers, segmenters, and AgentChain orchestration to support complex multimodal retrieval and reasoning.

Jina AI

jina-ai

A multimodal search foundation platform powering embeddings, rerank, classification & RAG workflows.

Pinecone is a fully managed vector database designed to support high-performance AI applications by enabling real-time semantic search and retrieval. It provides a serverless infrastructure that scales automatically, allowing developers to build and deploy AI-powered solutions without managing complex infrastructure. Pinecone supports features like hybrid search, metadata filtering, and real-time indexing, making it ideal for applications such as recommendation systems, chatbots, and knowledge bases. Its integration capabilities with various cloud providers and AI frameworks streamline the development of intelligent, context-aware applications.

Pinecone

pinecone

A fully managed vector database enabling scalable, real-time semantic search for AI applications.

Dcup is an open-source, self-hostable Retrieval-Augmented Generation (RAG) platform designed to help developers and teams build scalable, AI-powered retrieval pipelines. It enables seamless integration with data sources like Google Drive, Dropbox, and AWS, and supports advanced search capabilities including LLM re-ranking, summary indexing, and hybrid search using OpenAI embeddings and Qdrant vector storage. With its intuitive Retrieval API and modular architecture, Dcup simplifies the process of ingesting, indexing, and retrieving data, making it ideal for AI applications requiring efficient and accurate information retrieval.

Dcup

dcup

An open-source RAG-as-a-Service platform for building scalable, AI-powered retrieval pipelines.

You know that frustrating moment when you're using ChatGPT or Claude, and you have to keep explaining your business over and over?

We built THEO because, frankly, there was nothing out there that truly aligned AI with your unique business context. We're the first platform that lets you transform all your business docs and website into one clear "cheat sheet" that perfectly aligns any AI tool with your business' unique nuances.

Simply, give THEO your website & docs and we will turn it into one structured 'cheat sheet', so you can use it to turn you AI into strategic partner.
Perfect for founder's strategic ideation, planning & analysis.

THEO

theo

MAKE YOUR CURRENT AI ASSISTANT TRULY UNDERSTAND YOUR BUSINESS NUANCES

Weaviate is an open-source vector database designed to facilitate the development of AI-native applications by providing efficient storage and retrieval of vector embeddings. It combines vector search with traditional keyword search techniques, allowing for precise and contextual data retrieval across various data modalities. With integrations for popular machine learning models and support for hybrid search, Weaviate empowers developers to create applications such as semantic search engines, recommendation systems, and chatbots. Its cloud-native architecture ensures scalability and flexibility, making it a preferred choice for both developers and enterprises aiming to leverage AI in their software solutions.

Weaviate

weaviate

An open-source, AI-native vector database enabling developers to build and scale AI-powered applications with advanced data retrieval capabilities.

Replicate is a cloud-based platform designed to simplify the process of running, fine-tuning, and deploying open-source machine learning models. It offers a comprehensive library of generative AI models that can be accessed with minimal code, allowing developers to integrate advanced AI capabilities into their applications effortlessly. By utilizing containerization technology, Replicate ensures scalable and cost-effective deployment of custom models. The platform supports a wide range of AI applications, including image generation, text generation, and audio synthesis, making it a versatile tool for developers and businesses aiming to leverage AI technology.

Replicate

replicate

A platform that enables developers to run, fine-tune, and deploy open-source AI models with ease, providing scalable APIs for seamless integration.

Groq is a technology company focused on delivering high-performance AI inference solutions. Their flagship product, the Language Processing Unit (LPU), is a hardware and software platform designed to provide exceptional compute speed, quality, and energy efficiency for AI applications. Groq offers both cloud and on-premises solutions, enabling scalable deployment of AI models. The company is headquartered in Mountain View, California, with a global presence, including teams in Silicon Valley, Toronto, Liberty Lake, and London. Groq's mission is to accelerate AI adoption by providing efficient and scalable inference solutions.

Groq

groq

A company specializing in high-performance AI inference solutions, offering hardware and software platforms for rapid AI application deployment.

AlphaFold is an AI system developed by DeepMind that predicts the 3D structures of proteins based on their amino acid sequences. By leveraging deep learning techniques, AlphaFold has achieved remarkable accuracy in protein structure prediction, significantly advancing the field of structural biology. This breakthrough has profound implications for understanding biological processes and accelerating drug discovery.

DeepMind's AlphaFold

deepminds-alphafold

An AI system that predicts protein structures with high accuracy.

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