Cove provides an AI-powered platform for managing and optimizing cloud infrastructure costs. The system automates resource allocation and identifies waste across multi-cloud environments. This results in predictable cloud spending and improved operational efficiency for engineering teams.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional brainstorming and planning tools often lack real-time collaboration features and the ability to learn context from diverse data types, hindering productivity and creative exploration. Existing chat interfaces can trap information within threads, making it difficult to build upon ideas collectively.
Solution
Cove is a visual AI collaboration platform that provides a shared workspace where users can design, plan, and explore ideas together with AI. Unlike a chatbot, Cove acts as an AI collaborator that delivers answers directly into the shared workspace, enabling users and AI to build upon each other's ideas. The platform allows for real-time content editing, similar to multiplayer editing with a colleague, and learns from all content added to the space, including text, tables, images, web pages, and PDFs. Cove also suggests possible directions at every step and accelerates web research by performing multiple searches in parallel.
Target Audience
Cove targets individuals and teams seeking to enhance their brainstorming, planning, and creative processes through AI-powered collaboration.
Features
- Shared workspace for real-time collaboration with AI
- Direct content editing capabilities, allowing users and AI to edit together
- Context learning from various data types, including text, tables, images, and PDFs
- AI-powered suggestions for exploring different directions and ideas
- Accelerated web research with parallel searches
- Chrome extension for seamless integration with existing tools and websites
- Powered by a combination of large language models (LLMs) for high quality and low latency