Crossing Minds

Segment is a leading AI-powered Customer Data Platform (CDP) that helps businesses collect, clean, and activate their customer data. It unifies data from every touchpoint to create a single view of the customer, enabling real-time personalization, predictive insights, and optimized marketing campaigns across any channel.

LiftIgniter is an AI-powered, real-time personalization platform designed for digital publishers and e-commerce businesses. It leverages machine learning to understand user intent and deliver hyper-personalized content and product recommendations, aiming to significantly boost user engagement, conversions, and revenue.

Stardog is an enterprise knowledge graph platform that uses a conversational AI, Voicebox, to provide fast, accurate, and hallucination-free answers from your data. It unifies siloed information, allowing you to have a natural language conversation with your data, boosting productivity and enabling data-driven decisions.

recos.studio is an AI-powered platform that enables e-commerce and content websites to create and deploy personalized recommendation engines. Boost user engagement, increase conversion rates, and enhance customer experience with smart, data-driven suggestions.

A developer-focused API platform for creating custom generative AI image models. Astria specializes in fine-tuning, allowing users to train AI on specific subjects like people, objects, or styles to produce highly personalized, high-quality images for various applications, including AI photoshoots, virtual try-on, and product photography.

Vectorize is a RAG-as-a-Service platform that simplifies building AI applications on unstructured data. It offers managed RAG pipelines, extensive data source connectors, and the flexibility to use its managed vector database or connect your own, enabling developers to deploy production-ready AI solutions quickly.

Activeloop provides Deep Lake, a specialized Database for AI, designed to manage, query, and stream large-scale multimodal datasets (text, images, audio, video) for building advanced AI applications. It simplifies complex data infrastructure, enabling developers to create powerful Retrieval-Augmented Generation (RAG) systems, semantic search engines, and intelligent AI agents with ease.

XMOX is a leading managed AI agents platform that provides enterprise-grade infrastructure and services for deploying, scaling, and managing intelligent agents. It eliminates operational complexity, allowing businesses to harness the power of multi-modal AI agents—including language, code, and voice—with advanced RAG integration, zero-touch operations, and intelligent auto-scaling.

LiftIgniter is an AI-powered, real-time personalization platform designed for digital publishers and e-commerce businesses. It leverages machine learning to understand user intent and deliver hyper-personalized content and product recommendations, aiming to significantly boost user engagement, conversions, and revenue.

Exa is an AI-native search engine and API designed for LLMs. It provides high-quality, real-time web data through semantic search, content crawling, and agentic research capabilities to power AI applications, reduce hallucinations, and uncover insights traditional search engines miss.

Milvus is a high-performance, open-source vector database built for AI applications. It enables developers to manage and search through billions of high-dimensional vectors with minimal latency. Ideal for building scalable systems like retrieval-augmented generation (RAG), recommendation engines, and semantic search, Milvus offers flexible deployment options from local prototyping to large-scale distributed clusters.

Qdrant is a high-performance, open-source vector database and similarity search engine built in Rust. It's designed to power next-generation AI applications by efficiently managing and searching billions of high-dimensional vectors. With advanced features like rich filtering, payload storage, and various quantization methods, Qdrant enables developers to build scalable and cost-effective solutions for semantic search, recommendation systems, and Retrieval Augmented Generation (RAG).

Chroma is the open-source, AI-native retrieval database designed for building powerful AI applications with Retrieval-Augmented Generation (RAG). It simplifies storing and searching embeddings, documents, and metadata, offering vector search, full-text search, and a scalable, serverless cloud platform. It's built to be easy to use, cost-effective, and powerful, from local development to large-scale production.

Zilliz is an enterprise-grade vector database built for scalable AI applications. Powered by the popular open-source project Milvus, it provides a high-performance, cost-effective, and fully-managed service (Zilliz Cloud) for storing, indexing, and searching billions of vector embeddings. It's designed to power applications like RAG, recommendation systems, and multimodal search, with seamless integrations into major AI frameworks and cloud platforms.

Iris.ai is an enterprise-grade AI platform for developing and operating Agentic RAG (Retrieval-Augmented Generation) workflows. It enables businesses to connect, orchestrate, evaluate, and deploy scalable AI knowledge solutions, transforming complex data into actionable insights for R&D, innovation, and strategic decision-making.

Langbase is a serverless developer platform designed for building, deploying, and scaling AI agents. It provides a unified infrastructure with features like composable AI agents (Pipes), long-term memory (RAG), and a single API for over 250 LLMs, empowering any developer to create powerful AI applications with an exceptional developer experience.

Trieve is a free, open-source AI search infrastructure for developers. Acquired by Mintlify and now under an MIT license, it empowers the creation of advanced discovery experiences, including conversational AI, state-of-the-art semantic search, and RAG applications, with a focus on self-hosting and customization.

LLMStack is a no-code/low-code platform for building and deploying AI agents and applications. It specializes in Retrieval-Augmented Generation (RAG), allowing users to connect their own data to powerful LLMs like GPT, Gemini, and Claude to create custom chatbots, search tools, and more, with collaborative features.

Lattice is a private AI research assistant designed for engineers and technical leaders to make evidence-based AI infrastructure decisions. It runs locally on your device, analyzing your documents, vendor specs, and pricing to provide recommendations with verifiable citations, streamlining complex research.