Industry terminal

Cerebras Systems designs wafer-scale AI chips and supercomputers—anchored by its WSE (Wafer-Scale Engine) family—and offers cloud-based inference and training services that deliver high-throughput AI compute without the communication bottlenecks typical of multi-GPU clusters.

Cursor is an AI-native code editor built by Anysphere that gives software developers whole-codebase awareness, multi-file editing, and natural-language coding assistance inside a VS Code-forked IDE. It targets professional engineering teams who want deep AI integration across their full repository without leaving a familiar workflow.

Databricks is a data and AI platform that helps enterprises build, deploy, and govern AI agents and machine-learning applications on top of their own data via a unified lakehouse architecture. Its AI layer spans GenAI app development, MLOps/LLMOps, AI-assisted analytics, and agent orchestration, all tied to governed enterprise data.

Perplexity is an AI-powered answer engine that searches the web in real time and returns cited, natural-language answers instead of a list of links. It also offers Deep Research for multi-step research workflows and Perplexity Computer for agentic task execution.

Character.AI is a consumer conversational-AI platform that lets users chat with and create AI-powered personas for roleplay, storytelling, companionship, and open-ended conversation. It runs on proprietary large language models built from the ground up with dialogue in mind.

Glean is an enterprise work AI platform that indexes a company's internal apps and data, then enables employees to find answers, generate content, and automate workflows through AI-powered search, an assistant, and agents. It uses a permission-aware Enterprise Graph to ground responses in the organization's own knowledge.

HeyGen is an AI video creation platform that lets businesses generate presenter-style videos using digital avatars, multilingual voiceover, and localization tools — without cameras or editing crews. Its core use cases span marketing, sales enablement, training, and e-learning.

Lambda builds GPU cloud infrastructure and AI-optimized hardware so research labs and enterprises can train and deploy machine learning models without constructing their own data centers. It brands itself as 'The Superintelligence Cloud,' offering on-demand GPU instances, private clusters, and on-prem turnkey AI servers alongside a curated ML software stack.

Modal is a serverless cloud infrastructure platform for AI and data workloads, letting developers run Python-based GPU jobs, LLM inference, fine-tuning, and batch pipelines without managing servers or Kubernetes. Users bring their own code and models; Modal handles elastic GPU provisioning, cold starts, and orchestration automatically.

Notion is an all-in-one workspace platform with Notion AI embedded directly inside pages, docs, tasks, and databases — helping users draft, summarize, search, and act on their own workspace content without switching to a separate tool.